cr corporate payouts a&f 2011

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    Corporate payout policy in Australia and a test of thelife-cycle theory

    Jeffrey J. Coultona, Caitlin Ruddockb*

    aSchool of Accounting, Australian School of Business, The University of New South Walesbvan Eyk Research Limited, Sydney, NSW, Australia

    Abstract

    We provide evidence on the frequency and size of payouts by Australian firms,

    and test whether the life-cycle theory explains Australian corporate payout poli-cies. Regular dividends remain the most popular mechanism for distributing cash

    to shareholders, despite a slight decline in the proportion of dividend payers

    since the relaxation of buyback regulations in 1998. Off-market share buybacks

    return the largest amount of cash to shareholders. Dividend paying firms are lar-

    ger, more profitable and have less growth options that nondividend paying firms.

    Consistent with the life-cycle theory, we observe a highly significant relation

    between the decision to pay regular dividends and the proportion of sharehold-

    ers equity that is earned rather than contributed.

    Key words: Dividends; Buybacks; Payout policy; Life-cycle theory

    JEL classification: G35, G32

    doi: 10.1111/j.1467-629X.2010.00356.x

    * Caitlin Ruddock is employed as an Senior Investment Analyst at van Eyk ResearchLimited (ABN 99 010 664 632 AFSL 237917) (van Eyk). The views expressed in thisreport do not represent the views of van Eyk. To the maximum extent permitted by law,van Eyk expressly disclaims all liability in relation to the views expressed in this report.

    This article was originally based on a chapter of Caitlin Ruddocks PhD dissertationundertaken at The University of New South Wales. She would like to thank her supervi-sors Stephen Taylor and Terry Walter for their valuable feedback. In addition, we thank

    an anonymous reviewer, Wen He, Andrew Jackson and workshop participants at Mac-quarie University and Monash University, Queensland University, Queensland Universityof Technology and the University of Western Australia for their comments.

    Received 11 September 2008; accepted 8 March 2010 by Robert Faff (Editor).

    2010 The AuthorsAccounting and Finance 2010 AFAANZ

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    1. Introduction

    In this article, we provide evidence on the frequency and magnitude of corpo-

    rate payouts by Australian firms and examine determinants of payout policy. Inparticular, we test whether there is support for the theory that corporate payout

    policy corresponds to different stages of firm life cycle (DeAngelo and DeAngelo,

    2006; DeAngelo et al., 2006). Australia is a useful setting to investigate corporate

    payout policy because its full dividend imputation system reduces tax disincen-

    tives to pay dividends. The imputation system fully integrates the corporate and

    individual tax regimes. Individuals pay tax on grossed-up dividend income at the

    appropriate marginal tax rate but can claim a tax credit for the corporate tax

    already paid on the dividend income. Dividend imputation therefore eliminates

    double-taxation on dividends.

    1

    Given the importance of corporate payouts and the longstanding interest in

    trying to understand the determinants of payout policy, a careful documentation

    of Australian firms payout policies is timely. Despite many years of investiga-

    tion, explaining payout policy remains challenging. There is little recently pub-

    lished Australian research documenting the nature of and changes in corporate

    payouts. Prior Australian research examines the value of imputation tax credits

    and finds that one dollar of fully franked dividends is worth more than one dol-

    lar, and also that the value of imputation tax credits (i.e., franking credits)

    declined following tax law amendments designed to prevent trading in franking

    credits (Wood, 1997; Walker and Partington, 1999; Cannavan et al., 2004). Gray

    and Hall (2006) use the framework in Officer (1994) to derive a relationship

    between the value of franking credits, the market risk premium and assumed

    tax rate. Brown and Clarke (1993) assess the impact of changes in the impu-

    tation system on the ex-dividend day pricing of Australian shares and show that

    after the introduction of dividend imputation in 1987, shareholders obtained

    80 per cent of the benefit of the imputed income tax credit.

    The extent of and motivations for share buybacks as stated by Australian

    firms in their ASX buyback announcements are described in Mitchell and Rob-

    inson (1999), who find that the two prime motivations for Australian firms on-market buybacks over 19901995 are (i) signalling of future expectations and (ii)

    an attempt to increase earnings per share or financial position (e.g., net tangible

    assets per share). Mitchell and Dharmawan (2007) examine on-market buybacks

    and find that signalling incentives are more important in determining the

    1 Part 3.6 of the Income Tax Assessment Act 1997 (ITAA 1997) sets out the rules cover-ing the imputation system today. A full imputation system removes the double taxationon dividends. Australia and New Zealand have a full imputation system. Japan, Canadaand the UK have a partial imputation system (i.e., there is a dividend tax credit for partof the underlying corporate tax rate). France, Germany and Italy have a partial exclusionsystem that allows part of the received dividends to be excluded from the taxable incomeat the shareholder level.

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    explanations given for on-market buybacks than in comparable research using

    United States data. Selective buybacks have often been used to remove specific

    shareholders from the register. Brown and ODay (2007) find that share buyback

    yields are positively associated with increases in dividend yields, which they inter-pret as consistent with Australian firms not altering dividend policy to generate

    funds for buybacks.

    For our sample, the number of firms paying regular and special dividends

    increased over our sample period, while the proportion of sample firms paying

    dividends has declined since the mid-1990s. However, sample selection issues

    require caution in generalising these results for the entire Australian listed mar-

    ket.2 The median and average cash distributions from regular and special divi-

    dends increased over our sample period. The amount of regular dividends paid

    out is still dominated by the largest listed companies. Australian firms onlybegan engaging in share buybacks with any regularity from 1995, despite legisla-

    tion allowing companies to repurchase their shares being introduced in Australia

    in 1989. The average amount of cash paid out annually per firm in off-market

    buybacks quickly exceeded that from regular dividends, special dividends and

    on-market buybacks. However, the lower number of Australian firms engaging

    in buybacks (relative to those paying dividends) means that total dollar payout

    from buybacks did not reach the total level of dividend payments, unlike the

    position in the US (Skinner, 2008).

    Prior empirical US evidence supports the life-cycle explanation for dividend

    payments (Fama and French, 2001; Grullon et al., 2002; DeAngelo et al., 2006;

    Denis and Osobov, 2008). In this article, we investigate whether the life-cycle the-

    ory explains variation in Australian firms payouts and test whether Australias

    dividend tax imputation system provides additional information about firm life

    cycle.

    Our evidence strongly indicates that the probability that a firm pays (regular

    or special) dividends is increasing in the proportion of retained earnings in its

    capital structure. The proportion of earned capital to total assets is a useful

    proxy for firm life cycle (DeAngelo et al., 2006). Firms with a relatively low pro-

    portion of retained earnings tend to be in growth or capital infusion stages,whereas firms with a high proportion of retained earnings tend to be more

    mature and can generate cash but have fewer growth opportunities and are

    therefore good candidates to pay dividends. We also find that the proportion of

    retained earnings in a firms capital structure also explains the level of franking

    credits attached to dividends. The probability of firms engaging in share buy-

    backs is explained by firm life cycle; however, our life-cycle proxy is not as

    strongly associated with the decision to undertake a buyback as it is for the deci-

    sion to pay a dividend. In all of our tests of the life-cycle theory, we control for

    firm size, profitability, growth and cash balances.

    2 These issues are discussed in detail in section 3.

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    Our results are robust to partitioning our sample on firm size; the coefficient

    on our life-cycle proxy (retained earnings relative to total assets) is positive and

    statistically significant for portfolios of both small and large firms.

    The remainder of the article is arranged as follows. We review corporate pay-out policy research and the life-cycle theory in section two and outline our

    research questions and design. Section three documents the frequency and size of

    corporate payouts (i.e., dividends and share buybacks) in Australia and describes

    data sources and sample selection. Results are discussed in section four, while

    section five concludes.

    2. Literature review and research design

    2.1. What is the role of dividends?

    One of the ongoing challenges for financial theory is to understand why firms

    pay dividends and what influences the form of the cash distribution (Bagwell

    and Shoven, 1989; Baker et al., 2002; Allen and Michaely, 2003; Brealy and

    Myers, 2003). DeAngelo et al. (2008) provide a recent comprehensive analysis

    and summary of corporate payout policy research that indicates the difficulty in

    any one theory completely describing observed payout patterns and amounts.

    Litner (1956) establishes the role of earnings in determining the dividend payout

    ratio. He identifies the relation between current earnings and the existing dividend

    rate to be the key driver of changes in dividend policy and suggests that managers

    are reluctant to increase dividends unless future earnings can sustain the change.

    As the assumptions required for Miller and Modiglianis (1961) dividend irrel-

    evance theorem (e.g., frictionless capital markets) are not found in the real world,

    there are typically three main explanations offered for why firms pay dividends:

    (i) to convey private information about say, earnings (Bhattacharya, 1979; John

    and Williams, 1985; Miller and Rock, 1985); (ii) to distribute free cash flow

    (Jensen, 1986) or reduce agency costs (Easterbrook, 1984); and (iii) as a result of

    tax clienteles (Miller and Modigliani, 1961). However, none of these explanations

    fully explains corporate payout behaviour, and empirical tests of them providemixed results. Bernartzi et al. (1997) conclude that any relation between an unex-

    pected change in dividends and a change in earnings is weak.

    2.2. The life-cycle theory

    The life-cycle theory has been advanced by Fama and French (2001), Grullon

    et al. (2002) and DeAngelo et al. (2006). It suggests that the trade-off between

    the advantages (e.g., flotation cost savings) and disadvantages (e.g., agency costs

    of free cash flows) of the retention of earnings varies over the life of the firm.Firms in the early stage of profitability have greater investment opportunities

    and less opportunity to internally generate cash. The optimal decision is to retain

    cash to fund growth. As firms mature, they become more profitable and are able

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    to internally generate cash in excess of their investment requirements. The

    optimal policy will then be to retain sufficient earnings to invest in positive net

    present value projects and distribute excess cash to shareholders. Payment of a

    dividend is evidence of a firm reaching sustainable profitability.Fama and French (2001) find that US firms paying dividends are significantly

    larger, more profitable and have fewer growth options than firms that do not

    pay dividends. They argue that changes in firm characteristics do not fully

    explain the decline in dividend payers over recent years.3 DeAngelo et al. (2006)

    show that the proportion of a firms retained earnings to total assets is positively

    associated with the probability of paying a dividend. This is consistent with the

    firm relying more on earned rather than contributed equity, and more likely to

    occur as firms mature and reach a steady state of profitability. They argue that

    this is not consistent with the theory that dividends signal future profitability.Firms with low retained earnings would be ideal candidates for signalling, but it

    is the large, currently profitable firms with less growth options that tend to pay

    dividends. Similar results are found in Canada, UK, Japan, Germany and

    France (Denis and Osobov, 2008).

    Consistent with Fama and French (2001) and DeAngelo et al. (2006), we use

    the Fama and MacBeth (1973) statistical methodology to test whether the likeli-

    hood of a firm paying dividends depends systematically with a firms stage in its

    financial life cycle, for which our proxy is the level of retained earnings as a pro-

    portion of total assets (RETA). We estimate the following logit regression model

    that takes the payment of dividends by firm i in year t as the dependent variable:

    DIVi;t a0 b1RETAi;t b2TETAi;t b3SIZEi;t b4ROAi;t

    b5ASSETGROWi;t b6CASH=TAi;t b7DIVi;t1:1

    Our variable of interest is RETA, and the life-cycle theory predicts b1 to be

    positive. We control for the proportion of total assets funded by total equity

    (TETA), which can be thought of as a complement to leverage. Debt con-

    tracts typically limit the extent of dividend payments, and TETA can be

    thought of as capturing agency costs of debt.4 Firm size (SIZE) that we

    proxy by using the natural logarithm of market capitalisation and profitability

    (ROA, measured as operating income scaled by opening total assets) is

    expected to be positively associated with dividend payments, and growth

    3 DeAngelo et al. (2004) show the decline in dividend payers documented in Fama andFrench (2001) is concentrated among small firms that pay dividends. Large firms that paydividends have become more profitable and increased the size of the dividend payment.Despite the decline in numbers of dividend payers, aggregate dividends have increased.

    However, Skinner (2008) documents that in the US, repurchases are increasingly beingused in place of dividends, even for firms that continue to pay dividends.

    4 We obtain qualitatively similar results if we substitute TETA with a direct measure ofleverage (total liabilities divided by total equity).

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    variables are expected to be negatively associated with dividend payments. We

    use annual growth in total assets (ASSETGROW) as our proxy for firm

    growth.5 In addition, we include a variable for the size of the cash holdings

    relative to total assets (CASHTA). The expected sign of the relation betweenCASHTA and the likelihood of the payment of dividends is ambiguous

    (DeAngelo et al., 2006). Firms establishing profitability are more likely to

    retain cash to fund future investment, but firms with an excess of cash may

    distribute that cash to reduce agency costs. Dividend policy is known to be

    sticky (Litner, 1956), so we use an additional variable (DIVt)1) to control

    for payment of a dividend in the prior year. We estimate separate logit regres-

    sions for each of our sample years to obtain a time-series of fitted coefficients,

    which are then used as inputs to t-statistics to gauge the statistical significance

    of our explanatory variables.The same methodology is also employed to assess the probability of a firm

    paying a special dividend. Special dividends in Australia are often used as a

    means of distributing excess franking credits to shareholders (Pattenden and

    Twite, 2008). Virtually, all firms that distribute special dividends distribute a reg-

    ular dividend (93 per cent or 119 out of 128 firms). Firms that pay special divi-

    dends are therefore likely to be more mature than nonspecial dividend paying

    firms.

    2.2. Franking credits

    We next test whether firm life cycle is associated with variation in the level of

    franking credits. When Australian companies pay tax in Australia they accrue

    franking credits that can be attached to dividends declared and paid (ITAA 1997

    s.200-5).6 Although franking credits are cumulative, tax laws are structured to

    encourage firms to distribute franking credits.7 Management can attach these

    credits to dividends declared up to a maximum franking credit rate (i.e., the com-

    pany tax rate) (ITAA 1997 s.200-10).8 Dividends can be declared fully franked

    (100 per cent tax credit); partially franked (0 per cent < tax credit < 100 per

    cent) or unfranked (0 per cent tax credit). The higher the level of franking the

    5 Our results are robust to using the start-of-year value of the ratio of the market value ofequity to book value of equity as a proxy for growth.

    6 For tax purposes, a firm is an Australian resident if it is incorporated in Australia; or ifit is not incorporated in Australia, it must carry on a business in Australia and have eithercentral management or voting power in Australia (Australian Tax Office, 2004).

    7 First, penalties for over-franking have always existed (i.e., franking deficit tax). Second,

    franking credits have a present value to shareholders (Anderson et al., 2001). Attachingfranking credits to dividends typically reduces shareholders tax bills.

    8 In Australia, directors set corporate payout policy (Corporations Act 2001 s.254U).However, for consistency with the literature, we refer to the directors as management.

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    less tax a shareholder is required to pay on the associated dividend income. We

    investigate whether the level of franking provides an additional measure of firm

    life cycle.

    Firms that pay dividends are not necessarily a homogenous group. Frankingcredits could convey additional information (to that conveyed by the payment

    of a dividend per se) about Australian tax paid and profitability. Management

    must determine the optimal dividend policy and consider the amount of frank-

    ing credits available.9 Typically, firms paying unfranked dividends or partially

    franked dividends have no remaining franking credits in their franking

    account.10

    As firms pay tax, they accrue franking credits. Typically, less than 100 per cent

    of after-tax profits are distributed, so franking credits can accumulate over time.

    This enables firms to pay fully franked dividends even if their current year tax-able earnings decline.11 Payment of fully franked dividends, particularly in years

    when reporting a loss could indicate that a firm is mature with a strong history

    of accounting and taxable earnings.12

    Partially franked dividends indicate the effective tax rate on distributed

    income is less than 30 per cent. It can also signal that the firm does not

    have a lengthy history of accruing taxable income (i.e., that these firms have

    few accumulated franking credits). Firms that are still growing and begin-

    ning to report profits are likely to have taxable income that lags accounting

    income. Despite generating cash that exceeds investment needs, they have a

    lower effective tax rate and can only pay partially franked dividends.

    Mature firms with declining profits may also pay partially franked divi-

    dends. Despite reporting tax losses, these firms can distribute previously

    accumulated franking credits. To test whether the level of franking is cap-

    turing firm age, we rank firms by the level of franking on their dividends.

    Of our sample firms that pay dividends, firms that pay unfranked dividends

    are on average younger than other dividend paying firms. However, firms

    9 In 2002, a benchmark rule was introduced, which requires that all frankable distribu-tions made during a period are franked to the same extent (ITAA 1997 s.200-10).

    10 This assertion is based on inspecting a random selection of annual reports. The balanceof the franking credit account is disclosed in the annual reports but is not readily availableelectronically. Given the relatively large number of observations in the sample, this datawas not collected for this project. It would be interesting to collect this data in the future,but we believe it is not critical to the project as designed.

    11 Note the effective tax rate is on distributed, not current, income. A firm can pay no tax

    in year t but pay a fully franked dividend in year t due to a build up of franking credits inprior years.

    12 As firms do not typically distribute 100 per cent of their after-tax earnings, it is possibleto have an effective tax rate of less than 30 per cent and still pay fully franked dividends.

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    with the highest level of franking are younger than those ranked in the mid-

    dle of the franking distribution.13

    We test for the impact of franking by including in our estimation of equation

    (1) an additional independent variable that captures the level of franking appliedto a firms prior year dividends. The level of franking (FRANKING) is calculated

    by taking the weighted average level of franking credits.14 We do not use current

    year franking level to explain current year dividend payments, as a firm that pays

    a franked dividend has by definition paid a dividend that year. If franking credits

    proxy for firms in different stages of the life cycle, we expect a positive associa-

    tion on the extent of franking, again after controlling for firm size, profitability

    and growth.

    2.3. Share buybacks

    Our final research question is whether other forms of corporate payment pol-

    icy are related to firm life cycle. Brav et al. (2005) reports that US financial exec-

    utives believe buybacks convey information to shareholders. Skinner (2008)

    documents that share buybacks (repurchases) are increasingly replacing divi-

    dends for US firms, including those firms that continue to pay dividends.15 How-

    ever, Brown and ODay (2007) use Australian data and find that share

    repurchase yields are positively related to dividend increases, which they suggest

    indicates that Australian firms are not changing their dividend policy to provide

    funds then used for buybacks.16 If buybacks do substitute for dividends and the

    life-cycle theory applies to buybacks, then we would expect a positive association

    between RETA and the probability of a firm undertaking an on-market buy-

    back.17

    13 We measure age as listing history (from the SPRR database).

    14

    For example, if the first dividend during the year was 100 per cent franked and paid on2 000 000 shares and the second dividend was 50 per cent franked and paid on 2 500 000shares, we would calculate the total franking credit as [100 * (2 000 000/4 500 000)] + [50 * (2 500 000/4 500 000)] = 72.22 per cent franked.

    15 We exclude some forms of buybacks from the analysis. These include: selective buy-backs, minimum holding buybacks and employee buybacks because such buybacks areundertaken for reasons other than distributing excess cash.

    16 Results in Brown and ODay are also consistent with firms using funds for buybacksthat would otherwise have funded a larger dividend increase.

    17 On-market buybacks are typically used by young firms that have paid little or no Aus-tralian tax. They are a tax efficient means of returning cash to shareholders if the firm hasnot paid tax. Shareholders taking part in the buyback will be assessed for capital gainsrather than income tax. On-market buybacks could also be used by firms that, after mak-ing their regular dividend payment, have excess cash but limited franking credits.

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    Firms use off-market buybacks to distribute large amounts of cash and frank-

    ing credits.18 Less than 0.3 per cent of firms in each year undertake an off-market

    buyback. The average off-market buyback amount is $300 million, much larger

    than the average dividend amount of $39 million. The majority of firms usingoff-market buybacks also pay dividends (77 per cent or 17 firms out of 22).

    Given the amount of cash returned and size of the tax credits, firms repurchasing

    shares off-market are likely to be mature. The availability of high levels of frank-

    ing credits suggests a firm has been previously profitable. To provide preliminary

    evidence on this, we compare firms that repurchase shares off-market to firms

    that do not repurchase shares off-market. Untabulated descriptive statistics show

    that off-market buyback firms are extremely large, profitable and have less

    growth options than firms that do not engage in buybacks. The percentage of

    tax paid is close to the effective tax rate (i.e., 30 per cent). Because of the smallnumber of firms engaging in off-market buybacks, we do not undertake further

    multivariate tests for them.

    To provide evidence on the determinants of the likelihood of a firm engaging

    in an on-market buyback, we adopt a similar methodology to that employed in

    investigating dividend payments. That is, we use the Fama and MacBeth (1973)

    methodology and estimate annual logit regressions where the dependent variable

    takes the value of 1 if a firm engages in a buyback during the financial year and

    zero otherwise, as follows:

    BUYBACKi;t a0 b1RETAi;t b2TETAi;t b3SIZEi;t b4ROAi;t

    b5ASSETGROWi;t b6CASH=TAi;t1 b7DIVi;t

    b8RETURNi;t1: 2

    Unlike equation (1), our buyback regression includes current period dividends

    rather than lagged dividends. If buybacks are substitutes for dividends, then we

    would expect a negative coefficient on DIVi,t; whereas if they were complements,

    we would expect a positive coefficient on DIVi,t. We also include a measure of

    market-adjusted return (RETURN) to capture potential overvaluation influenc-

    ing the likelihood of a buyback. RETURN is measured as the market-adjustedannual buy and hold return for firm i in year t)1. The All Ordinaries Accumula-

    tion Index is used as the market return.

    18 The stated reasons for undertaking an off-market buyback are usually capital mainte-nance related. For example, in their 2004 off-market buyback announcement, Telstraadvised this was part of their 3-year plan to return capital to shareholders. Participantswould benefit from the fully franked dividend component and non-participants wouldbenefit from enhancement in key ratios. Off-market buybacks with a franked dividendbenefit low-tax payers (i.e., a marginal tax rate less than the company tax rate of30 per cent). Therefore, the offer is usually taken up by institutional investors such assuperannuation funds rather than retail investors. In 2004, the ATO reduced the attrac-tiveness of off-market buybacks by deeming that the capital component of the buybackwould be determined by market price.

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    3. Corporate payout policy in Australia

    3.1. Data and sample selection

    We source data from three key sources. Financial statement data are taken

    from the Aspect financial database. Dividend data are sourced from the Share

    Price and Price Relative (SPPR) database and Aspect.19 Special dividends are

    identified using both the Aspect financial database and cross-checked against

    Signal G announcements.20 We subtract the special dividend payment from total

    dividends paid to obtain ordinary dividends paid. If the company has a dividend

    reinvestment scheme, we manually cross check (and adjust as necessary) against

    dividends paid as reported in the cash flow statement. For all firms distributing

    unfranked dividends, we investigate whether the firm is eligible to accrue frank-ing credits. The level of franking (FRANKING) on dividends paid is calculated

    by taking the weighted average level of franking.21

    ASX Signal G announcements are used to identify share buybacks. The ASX

    has standardised appendices that firms must lodge when announcing, undertak-

    ing, changing and ending a buyback. We use the buyback appendix numbers as

    well as a key word search over all Signal G announcements to identify buyback

    announcements.22 Signal G announcements are used to identify the initial

    announcement date, and we check whether shares were actually repurchased

    (i.e., cash distributed). As off-market, selective, employee and minimum holding

    buybacks usually occur over a short period, the total cash paid out is typically

    collected from the final announcement. On-market buybacks can occur over sev-

    eral financial periods, so we collect the amount of cash distributed during the

    year in the form of buybacks from the cash flow statement. Note that we exam-

    ine buybacks that were actually undertaken, not those intended to be under-

    taken, as evidenced by a firm lodging a buyback announcement (i.e., not simply

    an intention to buy back).

    Our initial sample is drawn from Aspect between January 1993 and June

    2004. Observations must have operating income, total assets and book value

    of equity data available. We begin with 14 946 such firm-year observations.Observations missing any required data items required for our tests are

    excluded. Companies that change financial year-end dates are also excluded.

    This results in the removal of 5632 observations. The sample used to

    19 SPPR is maintained by the Centre for Research in Finance, Australian School of Busi-ness, UNSW.

    20 SPPR does not identify whether a dividend paid is a regular or a special dividend.

    21

    See footnote 14 for more details.22 Key words include: buyback; off-market buyback; equal access buyback; on-marketbuyback; selective buyback; odd-lot buyback; minimum holding buyback; and employeebuyback.

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    document corporate payout policy in Australia has 9314 observations. A con-

    cern about the sample selection is that our data requirements bias our sample

    towards larger, older and more profitable firms. To address this, we calculate

    the difference in size between our sample firms and the Aspect population gen-erally for each of our sample years. The average size of our sample firms (as

    measured by total assets) is just over 12 per cent larger than the Aspect popu-

    lation generally. However, Aspect itself does not provide complete coverage of

    all Australian listed firms; its coverage of the population of listed firms

    increases over our sample period.23 This again likely biases the early years of

    our sample towards larger firms. Relative to the industry composition of the

    S&P All Ordinaries Index as at August 2000, our sample of firms is over-

    weight in Materials and Energy and underweight in Consumer Discretionary

    Firms as well as Financial and Property Trusts and Information Technologyand Telecommunications. See Appendix I for more details.

    For our tests of the determinants of corporate payouts, we remove 1476 finan-

    cial institution firm-years (ASX code 16, 17, 19 or 20/GICS40) given the unique

    rules governing revenue and expense recognition for these firms. This results in a

    final sample consisting of 7838 observations.

    3.2. Frequency of corporate payouts

    In Table 1, we show the frequency of regular dividends, special dividends,

    on-market buybacks, off-market buybacks, selective buybacks, minimum-parcel

    buybacks, employee buybacks and other forms of share buybacks.24 Payouts

    are classified by year (Panel A) and industry (Panel B). Regular dividends

    remain the most common distribution mechanism. There has been a slight

    decline in the number and proportion of dividend payers since the relaxation

    of laws regulating buybacks in 1998.25 However, buybacks are not a perfect

    substitute for dividends (e.g., da Silva Rosa et al., 2002; Brown and ODay,

    2007; Skinner, 2008).

    23 Using data that shows the number of firms listed on the ASX at year end from SPPR,the Aspect database covers 38 per cent of ASX listed firms in 1993, 50 per cent in 1994,over 60 per cent from 19962001 and over 70 per cent of listed firms beyond 2002.

    24 The first five categories of buybacks correspond to the five types of share buybacksrecognised by legislation. Section 257B (2), (3) of the Corporations Act 2001 defineson-market and equal access buybacks, and the other types of buybacks are contained insection 9. The last category other share buybacks identifies buybacks of other types ofshares (i.e., redeemable preference shares).

    25 The rules were amended by the Corporation Law Review Act 1998. The key reformsintroduced in were allowing buybacks of redeemable preference shares; a new (but lessstringent) solvency requirement; and removal of court approval for share capital reduc-tions (Dharmawan and Mitchell, 2001).

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    Table1

    Frequencytable

    N

    Regular

    dividends

    Special

    dividends

    On-market

    buyback

    Off-

    market

    buyback

    Selective

    buyback

    Minimum

    parcel

    buyback

    Employee

    buyback

    Other

    buyback

    n

    %

    n

    %

    n

    %

    n

    %

    n

    %

    n

    %

    n

    %

    n

    %

    PanelA:Frequencybyyear

    1993

    397

    93

    23.3

    1

    0.3

    0

    0

    .0

    0

    0.0

    0

    0.0

    0

    0.0

    0

    0.0

    0

    0.0

    1994

    574

    244

    42.5

    9

    1.6

    0

    0

    .0

    0

    0.0

    0

    0.0

    0

    0.0

    0

    0.0

    0

    0.0

    1995

    642

    296

    46.0

    4

    0.6

    1

    0

    .2

    0

    0.0

    0

    0.0

    0

    0.0

    0

    0.0

    0

    0.0

    1996

    715

    314

    43.9

    9

    1.3

    10

    1

    .4

    1

    0.1

    0

    0.0

    0

    0.0

    0

    0.0

    0

    0.0

    1997

    795

    346

    43.5

    9

    1.1

    21

    2

    .6

    2

    0.3

    2

    0.3

    2

    0.3

    1

    0.1

    1

    0.1

    1998

    785

    346

    44.0

    18

    2.3

    39

    5

    .0

    2

    0.3

    9

    1.1

    2

    0.3

    0

    0.0

    1

    0.1

    1999

    806

    337

    41.8

    19

    2.4

    53

    6

    .6

    5

    0.6

    6

    0.7

    4

    0.5

    3

    0.4

    2

    0.2

    2000

    798

    312

    39.0

    27

    3.4

    47

    5

    .9

    5

    0.6

    4

    0.5

    2

    0.3

    4

    0.5

    4

    0.5

    2001

    882

    322

    36.5

    29

    3.3

    46

    5

    .2

    9

    1.0

    7

    0.8

    4

    0.5

    2

    0.2

    5

    0.6

    2002

    996

    341

    34.2

    14

    1.4

    60

    6

    .0

    1

    0.1

    8

    0.8

    5

    0.5

    4

    0.4

    2

    0.2

    2003

    1038

    377

    36.3

    16

    1.5

    63

    6

    .1

    3

    0.3

    5

    0.5

    7

    0.7

    3

    0.3

    5

    0.5

    2004

    886

    310

    34.9

    15

    1.7

    45

    5

    .1

    6

    0.7

    2

    0.2

    8

    0.9

    1

    0.1

    2

    0.2

    Total

    9314

    3638

    39.0

    170

    1.8

    385

    4

    .1

    34

    0.4

    43

    0.5

    34

    0.4

    18

    0.2

    22

    0.2

    PanelB:Frequencybyindustry

    Energy(10)

    581

    108

    18.6

    7

    1.2

    4

    0

    .7

    1

    0.2

    0

    0.0

    5

    0.9

    1

    0.2

    0

    0.0

    Materials(15)

    3223

    596

    18.5

    28

    0.9

    76

    2

    .4

    4

    0.1

    11

    0.3

    12

    0.4

    2

    0.1

    1

    0.0

    Industrials(20)

    1166

    661

    56.7

    34

    2.9

    42

    3

    .6

    0

    0.0

    8

    0.7

    2

    0.2

    0

    0.0

    1

    0.1

    Consumer

    discretionary(25)

    985

    565

    57.4

    37

    3.8

    52

    5

    .3

    7

    0.7

    10

    1.0

    3

    0.3

    5

    0.5

    6

    0.6

    Consumerstap

    les(30)

    481

    352

    73.2

    7

    1.5

    29

    6

    .0

    4

    0.8

    2

    0.4

    1

    0.2

    0

    0.0

    7

    1.5

    Healthcare(35)

    508

    138

    27.2

    4

    0.8

    17

    3

    .3

    2

    0.4

    1

    0.2

    1

    0.2

    0

    0.0

    2

    0.4

    Financials(40)

    1527

    1028

    67.0

    43

    2.8

    134

    8

    .7

    14

    0.9

    4

    0.3

    4

    0.3

    0

    0.0

    3

    0.2

    Information

    Technology(45

    )

    606

    130

    21.5

    5

    0.8

    29

    4

    .8

    1

    0.2

    6

    1.0

    5

    0.8

    3

    0.5

    1

    0.2

    Telecommunications(50)

    174

    17

    9.8

    3

    1.7

    1

    0

    .6

    1

    0.6

    0

    0.0

    1

    0.6

    2

    1.1

    0

    0.0

    Utilities(55)

    63

    43

    68.3

    2

    3.2

    1

    1

    .6

    0

    0.0

    1

    1.6

    0

    0.0

    5

    7.9

    1

    1.6

    Total

    9314

    3638

    39.0

    170

    1.8

    385

    4

    .1

    34

    0.4

    43

    0.5

    34

    0.4

    18

    0.2

    22

    0.2

    Sampleconsistsof9314observationsselectedfromASPECTover19932004.

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    An average of 39 per cent of our sample firms pay dividends in any year.26

    Fama and French (2001) report 23.6 per cent of United States firms pay dividends

    between 1993 and 1998.27 As previously discussed, our data requirements result in

    our sample consisting of larger firms than the overall ASX population. However,if we draw a sample of firms from the Aspect database that only require firms

    have positive total assets, we find that an average of 38.2 per cent of firms pay a

    dividend in any given year (there has been a decline from the mid-40 per cent fig-

    ures in the middle of the 1990s to the low 30s in the start of the 2000s). Again, note

    also that the number of firms both listed on the Australian Stock Exchange as well

    as covered by the Aspect database have increased over our sample period. It is

    likely therefore that our figure of 39 per cent overstates the proportion of ASX-

    listed firms that paid dividends in a year during our sample period.

    The frequency of dividend payment by industry is shown in Panel B ofTable 1. The proportion of dividend payers in each industry is likely to be

    explained by size, profitability or growth opportunities of member firms (Fama

    and French, 2001). Firms in the consumer staples, financial and utilities sectors

    have a high proportion of dividend payers. The telecommunications (mean firm

    age of 9 years) and information technology (mean firm age of 10) sectors tend to

    have a large number of start-ups which are less likely to pay dividends. Similarly,

    Australia has a large number of listed mining stocks in the exploratory phase

    with high growth potential but little revenue. This helps explain the low propor-

    tion of dividend payers in the energy and materials sector.

    On average, 1.8 per cent of sample firms declare a special dividend each year

    (Table 1, Panel A). This level has stayed fairly constant over the sample period,

    although there was a spike between 1998 and 2001.28 Firms often use special div-

    idends to distribute excess franking credits. They are more likely to be paid by

    mature firms or following a change in the corporate tax rate.

    Legislation allowing companies to repurchase their shares was introduced in

    Australia in 1989; however, there are no buybacks in our sample until 1995.29

    26

    This is consistent with a large number of sample firms having negative retained earn-ings. Dividends must be paid out of profits (Corporations Act 2001 s.254T) however profitis not defined. Current period losses discourage but do not prevent firms from paying adividend.

    27 See section 4.1 for more details.

    28 Balachandran and Nguyen (2004) report that the incidence of special dividends hasincreased in Australia. However, their sample ends in June 2002.

    29 Section 129(1)(b)(ii) of the Companies Act 1981 prohibited a company from acquiringits own shares. In 1989, the federal parliament passed the Companies Amendment Act1988 to amend the Companies Act 1981 to allow buybacks. These provisions were subse-quently rolled into the Corporations Law (Lavarch, 1994). Harris and Ramsay (1995)report that in the 6 years following the legalisation of buybacks (i.e., 19891995) only35 buybacks were announced and they tended to be by smaller companies (i.e., averagecapitalisation of $23 million).

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    This coincides with legislative amendments which provided that directors

    were no longer required to make a declaration of solvency when undertak-

    ing a buyback.30 On-market buybacks are more likely to be used by firms

    that are just establishing profitability or firms that have paid less tax buthave excessive cash. There is another spike in buyback activity in 1998

    when the Corporations Law was again amended to relax buyback require-

    ments, greatly reducing the administrative costs of engaging in a buyback

    (see footnote 24 for details of the change in legislation). Since 1998, about

    6 per cent of sample companies buy back shares on the open market in

    any year.

    3.3. The size of cash distributions

    Table 2 displays the mean and median amounts in nominal dollars for each

    class of corporate payout classified by year (Panel A) and industry (Panel B).

    Note that the mean and median figures (for each class of payout) are based only

    on the firms making that particular payout. For example, the median regular

    dividend payment of $4.8 million in 1993 relates to the 93 firms that paid a regu-

    lar dividend that year.31 Panel C of Table 2 summarises payout amounts for the

    20 largest sample firms by year.

    Comparing the mean and median payouts shows Australian dividend payouts

    are highly skewed (consistent with firm size in the Australian market being highly

    skewed). The average dividend payment is $50.1 million over the sample period,

    while the median dividend payment is $6.0 million. Both median (mean) regular

    dividend payments steadily increased over the sample period from $4.8 million

    ($31.5 million) in 1993 to over $7 million ($60 million) in the early 2000s. This is

    to be expected as dividends are a regular payment and once started are expected

    to be continued.

    The median (and average) size of other payments is more variable. Given

    buybacks and special dividends are an appropriate mechanism to distribute

    temporary spikes in earnings, it is not surprising that payout sizes vary year to

    year. The pattern of skewness remains; median payouts are far smaller thanaverage payouts. Off-market buybacks may be infrequent but on average

    return large amounts of cash to shareholders; the median (mean) off-market

    buyback amount in our sample is just under $160 million ($304 million). This

    30 Under the First Corporate Law Simplification Act, shareholder approvals for buybackswere relaxed; auditors were no longer required to provide a report in relation to the buy-back; and directors did not have to make a declaration of solvency. Further, companies

    were no longer required to have share buyback authorisation in their constitutions(Lamba and Ramsay, 2005).

    31 If we included all firms, the median dividend and buyback amount would be zero eachyear (see panel A of Table 1).

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    Table2

    Meanandm

    ediancashdistributions($millions)

    n

    Regular

    dividend

    Spe

    cial

    dividends

    On-market

    buyback

    Off-market

    buy

    back

    Selective

    buyback

    M

    in.parcel

    b

    uyback

    Employee

    buyback

    Ot

    her

    bu

    yback

    Mean

    Median

    Mean

    Median

    Mean

    Median

    Mean

    Median

    Mean

    MedianM

    ean

    Median

    Mean

    Median

    Mean

    Median

    PanelA:Byyear

    1993

    397

    $31.5

    $4.8

    $

    9.0

    $9.0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    1994

    574

    $30.3

    $4.1

    $

    9.4

    $5.0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    1995

    642

    $37.4

    $4.7

    $

    4.0

    $4.0

    $516.0

    $516.0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    1996

    715

    $39.0

    $5.1

    $

    6.8

    $4.1

    $55.8

    $1.0

    $6.0

    $6.0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    1997

    795

    $39.7

    $5.0

    $2

    8.8

    $27.3

    $125.1

    $1.1

    $5.2

    $5.2

    $28.3

    $28.3

    $1.1

    $1.1

    $0

    $0

    $3.0

    $3.0

    1998

    785

    $44.2

    $4.7

    $1

    4.4

    $4.2

    $56.8

    $1.1

    $3

    30.6

    $330.6

    $1188.4

    $5.9

    $0

    $0

    $0

    $0

    $233.0

    $233.0

    1999

    806

    $44.6

    $6.1

    $1

    1.1

    $7.2

    $28.3

    $1.5

    $2

    33.2

    $132.5

    $51.9

    $7.1

    $0

    $0

    $0.7

    $0.3

    $377.2

    $377.2

    2000

    798

    $61.6

    $7.0

    $9

    6.3

    $9.9

    $76.6

    $3.3

    $2

    11.6

    $11.1

    $3.2

    $2.0

    $0.1

    $0.1

    $0.1

    $0.1

    $294.2

    $5.1

    2001

    882

    $60.8

    $7.5

    $4

    0.8

    $8.4

    $37.8

    $1.5

    $3

    83.0

    $163.2

    $1.2

    $0.9

    $0.1

    $0.1

    $0.4

    $0.4

    $101.7

    $37.6

    2002

    996

    $69.9

    $7.8

    $2

    0.9

    $4.3

    $37.0

    $1.2

    $1

    35.3

    $135.3

    $30.6

    $1.7

    $0.4

    $0.1

    $2.5

    $0.2

    $34.5

    $34.5

    2003

    1038

    $67.0

    $7.8

    $4

    6.7

    $11.0

    $37.9

    $2.6

    $2

    22.1

    $131.2

    $41.5

    $5.9

    $11.9

    $0.2

    $5.4

    $0.7

    $15.2

    $3.1

    2004

    886

    $53.8

    $7.1

    $1

    5.9

    $7.3

    $35.7

    $2.5

    $5

    29.7

    $473.2

    $33.4

    $33.4

    $0.5

    $0.2

    $1.1

    $1.1

    $2.2

    $2.2

    Total

    9314

    $50.1

    $6.0

    $3

    5.1

    $6.9

    $49.2

    $1.7

    $3

    03.8

    $159.8

    $269.9

    $2.8

    $2.7

    $0.1

    $1.7

    $0.1

    $128.4

    $11.2

    PanelB:Mean

    andmediancashdistributionbyindustry($millions)

    Energy

    581

    $44.5

    $14.1

    $12

    3.5

    $66.7

    $7.7

    $0.8

    $2

    50.0

    $250.0

    $0.0

    $0.0

    $0.4

    $0.3

    $0.3

    $0.3

    $0.0

    $0.0

    Materials

    3223

    $68.1

    $12.2

    $1

    5.6

    $11.9

    $39.6

    $2.8

    $43.2

    $17.5

    $5.4

    $0.9

    $7.2

    $0.2

    $0.3

    $0.3

    $3.9

    $3.9

    Industrials

    1166

    $20.0

    $3.0

    $2

    0.7

    $5.5

    $8.9

    $1.3

    $0.0

    $0.0

    $15.7

    $3.3

    $0.1

    $0.1

    $0.0

    $0.0

    $3.1

    $3.1

    Consumerdisc

    riy

    985

    $17.4

    $4.6

    $1

    6.2

    $5.1

    $11.3

    $0.9

    $112.9

    $131.2

    $60.0

    $2.1

    $0.1

    $0.0

    $5.4

    $1.1

    $372.3

    $162.0

    Consumerstap

    les

    481

    $40.7

    $6.3

    $3

    6.3

    $7.3

    $28.6

    $2.4

    $511.0

    $513.1

    $315.0

    $315.0

    $0.3

    $0.3

    $0.0

    $0.0

    $24.1

    $14.5

    Healthcare

    508

    $20.0

    $9.4

    $

    9.4

    $3.3

    $30.1

    $8.7

    $2

    61.4

    $261.4

    $0.5

    $0.5

    $0.0

    $0.0

    $0.0

    $0.0

    $4.2

    $4.2

    Financials

    1527

    $76.1

    $8.4

    $1

    1.2

    $4.9

    $100.1

    $1.8

    $3

    95.6

    $285.2

    $2536.7

    $48.1

    $0.1

    $0.0

    $0.0

    $0.0

    $125.9

    $1.1

    Information

    Technology

    606

    $6.2

    $2.6

    $1

    1.8

    $3.8

    $5.2

    $1.1

    $0.9

    $0.9

    $5.8

    $1.1

    $0.4

    $0.1

    $0.6

    $0.1

    $0.0

    $0.0

    Telecommunic

    ations

    174

    $915.4

    $311.3

    $81

    5.6

    $386.0

    $0.0

    $0.0

    $1009.0

    $1009.0

    $0.0

    $0.0

    $1.4

    $1.4

    $0.2

    $0.2

    $0.0

    $30.2

    Utilities

    63

    $48.6

    $5.2

    $4

    1.4

    $41.4

    $4.1

    $4.1

    $0.0

    $0.0

    $7.5

    $7.5

    $0.0

    $0.0

    $0.0

    $0.0

    $30.2

    $30.2

    Total

    9314

    $50.1

    $6.0

    $3

    5.1

    $6.9

    $49.2

    $1.7

    $3

    03.8

    $159.8

    $269.9

    $2.8

    $2.7

    $0.1

    $1.7

    $0.1

    $128.4

    $11.2

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    Table2(con

    tinued)

    n

    Regular

    dividend

    Special

    dividends

    On-market

    buyback

    Off-market

    buyback

    Selective

    buyback

    Min.parcel

    buyba

    ck

    Employee

    buyback

    Other

    buyback

    Mean

    Median

    Mean

    Med

    ian

    Mean

    Median

    Mean

    Median

    Mean

    Median

    Mean

    Median

    Mean

    Median

    Me

    an

    Median

    PanelC:Mean

    andmediancashdistributionsforthelargest20samplefirmsbyyear($millions)

    1993

    20

    $119.0

    $77.0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    1994

    20

    $216.3

    $137.4

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    1995

    20

    $334.6

    $220.4

    $0

    $0

    $25.8

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    1996

    20

    $356.9

    $235.6

    $0

    $0

    $27.3

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    1997

    20

    $402.7

    $234.5

    $0

    $0

    $108.1

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    .2

    $0

    1998

    20

    $468.7

    $240.4

    $0

    $0

    $99.4

    $0

    $32.5

    $0

    $531.6

    $0

    $0

    $0

    $0

    $0

    $11

    .7

    $0

    1999

    20

    $439.8

    $243.8

    $0

    $0

    $54.7

    $0

    $32.5

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $37

    .0

    $0

    2000

    20

    $603.5

    $334.8

    $106.3

    $0

    $146.5

    $0

    $52.3

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $58

    .3

    $0

    2001

    20

    $597.8

    $244.8

    $17.3

    $0

    $64.8

    $0

    $52.5

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $23

    .4

    $0

    2002

    20

    $775.8

    $408.0

    $10.3

    $0

    $85.1

    $0

    $0.0

    $0

    $1.8

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    2003

    20

    $767.2

    $324.9

    $27.0

    $0

    $86.6

    $0

    $26.7

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    2004

    20

    $528.4

    $277.1

    $5.1

    $0

    $30.1

    $0

    $131.2

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    $0

    Total

    240

    $467.6

    $240.1

    $13.8

    $0

    $60.7

    $0

    $27.3

    $0

    $4.4

    $0

    $0

    $0

    $0

    $0

    $10

    .9

    $0

    Tableshowsmeanandmediancashdistributions(in$millions)offirmsthatmadeaparticulardistributiondu

    ringayear.Samplecomprisesof9314firms

    selectedfrom

    AspectovertheperiodJanuary

    1993toJune2004.

    Thelargest20samplefirmsaredeterminedby

    thevalueofmarketcapitalisation

    atthestart

    oftheyear.

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    is not unexpected given the tax efficiency of off-market buybacks.32 Participa-

    tion in off-market buybacks is particularly popular among low-tax payers such

    as superannuation (pension) funds.

    Superannuation (i.e., pension) coverage amongst Australian employeesexpanded rapidly following the 1986 National Wage Case. There was a major

    change to the Australian superannuation system in 1992, whereby employers

    were required to make tax-deductible contributions on behalf of their employees

    (known as the Superannuation Guarantee). Initial employer contributions were

    3 per cent of salary, with higher levels of contribution phased in over 10 years to

    the maximum of 9 per cent in 2002/2003. Superannuation in Australia has been

    a preferentially taxed form of savings. From 1 July 1998, a 15 per cent tax was

    applied to investment income of superannuation funds (as well as to employer

    contributions and deductible member contributions). The tax on investmentearnings could be offset against imputation credits on franked dividends.33

    Superannuation assets (savings) have grown rapidly from $245.3 billion in June

    1996 to $643.0 billion in June 2004 (Australian Bureau of Statistics, 5206.0, Aus-

    tralian National Accounts, Table 30). As a result, superannuation fund invest-

    ments in the equities market have become increasingly important over the

    sample period.

    The average amount of cash necessary to clean up the share registry (mini-

    mum parcel buyback) and to give staff a cost-effective way to sell small parcels

    of employee shares (employee buybacks) is small (under $3 million for a mini-

    mum parcel buyback and $1.7 million for an employee buyback). Selective buy-

    backs can be used to buy out a key stakeholder. Thus, while small in number the

    amount of cash used to repurchase a stake can be quite substantial.34

    As shown in Panel B of Table 2, the telecommunications industry dominates

    regular and special dividends, as well as off-market buybacks. The financial ser-

    vices and materials industry have high average dividend payments courtesy of

    the largest Australian firms residing in these sectors (i.e., the major banks in the

    financial services industry; and BHP-Billiton in the mining industry). The utilities

    industry has (after telecommunications) the highest median (regular) dividend

    payment; consistent with firms in this industry being relatively mature.In Panel C of Table 2, we address the relative importance of the payout poli-

    cies of our largest 20 sample firms by market capitalisation (each year). The aver-

    age (median) regular dividend for our largest 20 sample firms over the sample

    period is $467.6 million ($240.1 million). This shows the importance of dividend

    32 Off-market buybacks can include a fully franked dividend as part of the capital consid-eration.

    33

    For more details see APRA (2007).34 For example, when the federal government privatised its final stake in the Common-wealth Bank in 1997, the sale of shares also involved a special buyback of 100 millionshares at a total value of $10 008 486 673.

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    payments by the largest firms; recall that the mean (median) regular dividend for

    dividend paying firms in our full sample is $50.1 million ($6.0 million) from

    Panel A of Table 2. However, the largest firms do not dominate the payment of

    special dividends; similarly, the largest 20 firms are not as relatively important interms of their payouts from share buybacks as from regular dividends.

    3.4. Total cash distributions

    In Table 3, we report total cash distributions for each class of payment by year

    (Panel A) and industry (Panel B). In terms of frequency, on-market buybacks

    are the most popular form of buyback (see Table 1). Almost $20 billion was

    returned over our sample period via on-market buybacks compared with just

    over $10 billion for off-market buybacks.Nonetheless, the aggregate amount of cash distributed via regular dividends

    remains substantially larger (because of a higher proportion of firms paying

    dividends) than the cash distributed via share buybacks. From January 1993 to

    June 2004, our sample firms paid out $182 billion in dividends and just under

    $30 billion in on- and off-market buybacks. In 2003, aggregate dividends were

    $25 billion and aggregate buybacks just over $3 billion. This is in contrast to the

    United States where in 2004 (for industrial firms) aggregate buybacks were

    US$155 billion, while aggregate dividends were around US$137 billion (Skinner,

    2008).

    4. Results

    Table 4 summarises annual logit regressions that test whether the probability

    that a firm pays dividends depends systematically on the proportion of assets

    funded by earned equity (RETA). We show the time-series average of the fitted

    logit coefficients and t-statistics. Large and profitable firms are both more likely

    to pay dividends (with positive and statistically significant coefficients on SIZE

    and ROA), and firms with higher growth options less likely to pay dividends

    (negative and statistically significant coefficients on ASSETGROW.35 This isconsistent with prior US and other overseas evidence (Fama and French, 2001;

    DeAngelo et al., 2006; Denis and Osobov, 2008).

    Consistent with the life-cycle theory and results in DeAngelo et al. (2006), the

    likelihood of paying dividends is positively associated with the proportion of

    assets funded by retained earnings. The coefficient on RETA is positive and sta-

    tistically significant (with a t-statistic for the RETA coefficients of 5.15). The

    probability of paying dividends is negatively related to total equity scaled by

    assets (TETA). The fact that RETA remains positive and significant when

    35 Results are qualitatively similar when we use the market-to-book ratio as an alternativeproxy for firm growth.

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    Table3

    Totalcashd

    istributions($millions)

    n

    Regu

    lar

    dividend

    Special

    dividends

    On-mark

    et

    buyback

    Off-market

    buyback

    Selective

    buyback

    Min.parcel

    buyback

    Employee

    buyback

    Other

    buyback

    PanelA:Byyear

    1993

    397

    $2

    931

    $9

    $0

    $0

    $0

    $0

    $0

    $0

    1994

    574

    $7

    394

    $85

    $0

    $0

    $0

    $0

    $0

    $0

    1995

    642

    $11

    071

    $16

    $516

    $0

    $0

    $0

    $0

    $0

    1996

    715

    $12

    257

    $62

    $558

    $6

    $0

    $0

    $0

    $0

    1997

    795

    $13

    748

    $259

    $2626

    $10

    $57

    $2

    $0

    $3

    1998

    785

    $15

    296

    $259

    $2213

    $661

    $10696

    $0

    $0

    $233

    1999

    806

    $15

    031

    $211

    $1498

    $1166

    $312

    $0

    $2

    $754

    2000

    798

    $19

    229

    $2600

    $3599

    $1058

    $13

    $0

    $0

    $1177

    2001

    882

    $19

    590

    $1184

    $1739

    $3447

    $8

    $1

    $1

    $509

    2002

    996

    $23

    819

    $292

    $2260

    $135

    $245

    $2

    $10

    $69

    2003

    1038

    $25

    250

    $748

    $2389

    $666

    $207

    $84

    $16

    $76

    2004

    886

    $16

    676

    $239

    $1607

    $3178

    $67

    $4

    $1

    $4

    Total

    9314

    $182

    291

    $5963

    $19005

    $10328

    $11604

    $93

    $30

    $2825

    PanelB:Byin

    dustry

    Energy(10)

    581

    $4

    806

    $865

    $31

    $250

    $0

    $2

    $0

    $0

    Materials(15)

    3223

    $40

    594

    $436

    $3008

    $173

    $59

    $86

    $1

    $4

    Industrials(20)

    1166

    $13

    220

    $704

    $372

    $0

    $125

    $0

    $0

    $3

    Consumer

    discretionary

    (25)

    985

    $9

    831

    $599

    $587

    $790

    $600

    $0

    $27

    $2234

    Consumer

    staples(30)

    481

    $14

    338

    $254

    $829

    $2044

    $630

    $0

    $0

    $168

    Healthcare(35)

    508

    $2

    761

    $37

    $511

    $523

    $0

    $0

    $0

    $8

    Financials(40

    )

    1527

    $78

    281

    $480

    $13511

    $5538

    $10147

    $0

    $0

    $378

    Information

    Technology(45)

    606

    $

    809

    $59

    $152

    $1

    $35

    $2

    $2

    $0

    Telecommunications(50)

    174

    $15

    561

    $2447

    $0

    $1009

    $0

    $1

    $0

    $0

    Utilities(55)

    63

    $2

    091

    $83

    $4

    $0

    $7

    $0

    $0

    $30

    Total

    9314

    $182

    291

    $5963

    $19005

    $10328

    $11604

    $93

    $30

    $2825

    Sampleconsistsof9314observationsselected

    fromASPECTover19932004.

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    controlling for TETA indicates that it is not the relative level of equity per se that

    drives the dividend decision, but also the mix of internal and external capital.

    Total equity can be increased by firms issuing additional share capital, as well as

    by earning and retaining profits. Our results suggest that the way the total equity

    is generated is important with respect to the payment of a dividend and that divi-

    dend payments are more likely from earned rather than contributed capital.

    Our model includes controls for the level of cash holdings scaled by total assets

    (CASHTA). The expected sign on the coefficient on CASHTA is not clear; largecash holding could be hoarding or could be in anticipation of future positive

    NPV projects. Firms can increase their levels of cash by taking on additional

    borrowings, raising capital or selling assets (again, in contrast to earnings and

    Table 4

    Logit analysis of the decision to pay ordinary dividends as a function of the ratio of earned equity to

    total assets (RETA) and other variables

    Full sampleLargest firmsquintile Middle quintile

    Smallest firmsquintile

    Average

    coefficient t-Statistic

    Average

    coefficient t-Statistic

    Average

    coefficient t-Statistic

    Average

    coefficient t-Statistic

    RETAi,t 2.66 5.15 14.38 1.99 3.45 3.42 3.03 3.37

    TETAi,t )1.11 )3.62 )5.61 )1.09 )2.98 )2.31 )1.08 )0.37

    SIZEi,t 0.37 7.39 )0.47 )0.37 0.24 0.41 2.64 1.13

    ROAi,t 2.79 6.21 24.84 2.54 13.05 3.15 15.52 2.36

    ASSETGROWi,t )0.69 )2.92 )4.65 )1.01 )1.86 )3.27 )1.44 )0.67

    CASH/TAi,t)

    3.15)

    3.51)

    14.71)

    2.76)

    5.59)

    1.13)

    25.06)

    2.12DIVi,t)1 3.96 21.75 16.84 2.78 5.51 5.75 10.27 3.14

    Intercept )7.30 )6.74 10.21 0.37 )4.22 )0.41 )4.95 )1.29

    R2 55.6 65.6 56.3 19.5

    n 7838 1565 1568 1561

    The full sample consists of 7838 observations drawn from the Aspect database (excluding financial

    services firms) over 19932004. The dependent variable is 1 in year t if the firm pays an ordinary divi-

    dend, 0 otherwise. The average coefficient is the mean value of the fitted coefficients for 12 logit

    regressions (one for each year over 19932004). The t-statistics are calculated using the Fama and

    MacBeth approach from the time series of fitted logit coefficients and assess the hypothesis that the

    expected coefficient value is zero. R2

    is the mean pseudo-R2

    for the 12 annual logit regressions. Forthe remaining columns, the sample is sorted into quintiles each year based on-market capitalisation

    at the start of the year. Analysis is repeated and results reported for the largest, the middle and the

    smallest firm quintiles. RETAi,t = retained earnings (Aspect Item 7005) for company i in year

    t scaled by total assets (TAi,t) (Aspect item 5090) for company i in year t)1; TETAi,t = total share-

    holder equity for company i in year t scaled by total assets (TAi,t) (Aspect item 5090) for company

    i in year t)1; MKTCAPi,t = market capitalisation for company i at the start of year t; SIZEi,t =

    natural logarithm of MKTCAP; ROAi,t = earnings before interest and tax (Aspect item 8012) for

    company i in year t scaled by average total assets for company i in year t; ASSETGROWi,t = total

    assets (Aspect item 5090) for company iin year t less total assets in year t)1, all scaled by total assets

    for company i in year t)1; DIVi, t)1 = is an indicator variable that takes the value of 1 if the firm

    paid an ordinary dividend in year t)

    1, 0 otherwise.

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    retaining profits). We find coefficients on CASHTA are negative and statistically

    significant, which suggests that CASHTA is empirically distinct from RETA

    (DeAngelo et al., 2006). Table 4 also confirms that dividend payout policy is

    sticky (Lintner, 1956), with the coefficient on our variable capturing the pay-ment of a dividend in the prior year (DIVt)1) positive and highly significant.

    To further address the issue of firm size on results, the regression analysis (i.e.,

    estimating equation (1)) was repeated after sorting sample firms into quintiles on

    the basis of start-of-year market capitalisation. Results are reported in Table 4

    for the quintiles containing the smallest firms, the largest firms and the middle

    quintile. For each subsample, the coefficient on RETA remains positive and sta-

    tistically significant. The sign of the coefficients of the remaining variables are

    largely consistent with that for the full sample. Exceptions include SIZE, which

    is not statistically different from zero when the sample is partitioned on size, andasset growth (ASSETGROW), which is not consistently different from zero for

    all size quintiles.36

    As an additional robustness check, we re-estimate equation (1) on the full

    panel data using generalised linear model regression (with industry and year

    effects) as an alternative to the FamaMacbeth approach, and similar results are

    obtained. Coefficients were of the same sign and remained statistically signifi-

    cant.37

    Results of testing whether the level of franking impacts on the likelihood of a

    dividend being paid are presented in Table 5. When we include the level of frank-

    ing on prior years dividends (FRANKING) as an additional independent vari-

    able, there is little effect on the results shown in Table 4. Coefficient signs,

    magnitudes and statistical significance of the independent variables remain quali-

    tatively unchanged. The coefficient on FRANKING is positive and statistically

    significant. However, the coefficient size is very close to zero, which indicates that

    the incremental impact of last years level of franking on the payment of a divi-

    dend this year is not strong.

    Table 6 reports the estimated probability of firms paying a special dividend.

    Consistent with the determinants of regular dividends, larger and more profitable

    firms are more likely to pay special dividends as seen by the positive and signifi-cant coefficients on SIZE and ROA. The coefficient on our life-cycle proxy

    (RETA) is significant and positively associated with the likelihood of a firm pay-

    ing a special dividend. Firm growth is negatively associated with the likelihood

    of a special dividend payment. The negative coefficient on CASHTA again indi-

    cates that the variable is empirically distinct from RETA. We also include a

    dummy variable capturing the prior years dividend policy (DIVt)1). The coeffi-

    cient on DIVt)1 is positive, but not statistically significant. This is consistent with

    36 Results for the remaining two quintiles are omitted for brevity, but are qualitativelysimilar to results reported.

    37 Results available from the authors upon request.

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    Table 5

    Logit analysis of the decision to pay ordinary dividends as a function of the ratio of earned equity to

    total assets (RETA) and other variables including the level of franking

    Average coefficient t-Statistic

    RETAi,t 2.19 7.60

    TETAi,t )1.11 )2.66

    SIZEi,t 0.40 7.58

    ROAi,t 4.36 4.47

    ASSETGROWi,t )0.51 )2.48

    CASH/TAi,t )2.70 )3.46

    DIVt)1 3.47 16.56

    FRANKINGt)1 0.01 3.45

    Intercept )7.91 )6.56

    R2

    0.57

    The full sample consists of 7838 observations drawn from the Aspect database (excluding financial

    services firms) over 19932004. The dependent variable is 1 in year t if the firm pays an ordinary divi-

    dend, 0 otherwise. The average coefficient is the mean value of the fitted coefficients for 12 logit

    regressions (one for each year over 19932004). The t-statistics are calculated using the Fama and

    MacBeth approach from the time series of fitted logit coefficients and assess the hypothesis that the

    expected coefficient value is zero. R2 is the mean pseudo-R2 for the 12 annual logit regressions. For

    the remaining columns, the sample is sorted into quintiles each year based on-market capitalisation

    at the start of the year. FRANKINGt)1 = Lagged level of franking applied to dividends paid in year

    t)1. All other variables are as defined in Table 4.

    Table 6

    Logit analysis of the decision to pay special dividends as a function of the ratio of earned equity to

    total assets (RETA) and other variables

    Average coefficient t-Statistic

    RETAi,t 1.16 2.71

    TETAi,t 1.86 2.06SIZEi,t 0.15 5.87

    ROAi,t 3.96 2.70

    ASSETGROWi,t )1.18 )2.30

    CASH/TAi,t )1.54 )1.44

    DIVt)1 10.48 2.60

    Intercept )18.05 )4.34

    R2 0.51

    Sample consists of 7838 observations drawn from the Aspect database (excluding financial services

    firms) over 19942004. The dependent variable is 1 in year t if the firm pays a special dividend, 0

    otherwise. The average coefficient is the mean value of the fitted coefficients for 11 logit regressions

    (one for each year over 19942004). The t-statistics are calculated using the Fama and MacBeth

    approach from the time series of fitted logit coefficients and assess the hypothesis that the expected

    coefficient value is zero. R2 is the mean pseudo-R2 for the 11 annual logit regressions. All variables

    are as defined in Table 4.

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    the payment of a special dividend being subject to different incentives than that

    of an ordinary dividend.

    Results of estimating the likelihood of a firm engaging in an on-market buy-

    back are presented in Table 7. Consistent with our tests of the likelihood of afirm paying regular or special dividends, firm size and profitability are associated

    with an increased likelihood of a firm engaging in an on-market buyback, and

    firm growth is negatively associated with on-market buybacks. RETA is signifi-

    cantly associated with an increased likelihood of a firm engaging in an on-market

    buyback. Firm size and profitability are also associated with an increase in

    on-market buyback likelihood. Coefficients on growth (ASSETGROW) and rela-

    tive cash holdings (CASHTA) are negatively associated with the likelihood of an

    on-market buyback. The coefficient on the relative level of equity (TETA) is

    significant at the 5 per cent level.We also address the issue of whether buybacks operate as a substitute or com-

    plement for dividends by including a control variable that captures whether the

    firm pays a dividend in year t (DIVt). The coefficient on DIVt is positive and sta-

    tistically significant. This indicates that engaging in a buyback is not a substitute

    for paying a dividend (and that firms paying a dividend are more likely to be

    engaging in a buyback. Similar results apply when we use lagged dividend pay-

    ments (DIVt)1). The explanatory power of our model is far lower when explain-

    ing the decision to buy back rather than the decision to pay a dividend or special

    dividend. The determinants of the likelihood of engaging in an on-market

    Table 7

    Logit analysis of the decision to engage in an on-market buyback as a function of the ratio of earned

    equity to total assets (RETA) and other variables

    Average coefficient t-Statistic

    RETAi,t 1.04 2.61

    TETAi,t 0.67 0.75

    SIZEi,t 0.11 1.42

    ROAi,t 1.33 2.17ASSETGROWi,t )1.54 )2.20

    CASH/TAi,t )0.58 )0.50

    DIVt 1.69 1.24

    RETURNt)1 )0.90 )2.19

    Intercept 1.04 )5.17

    R2 0.08

    Sample consists of 6469 observations drawn from the Aspect database (excluding financial services

    firms) over 19962004. The dependent variable is 1 in year t if the firm undertakes an on-market

    buyback, 0 otherwise. The average coefficient is the mean value of the fitted coefficients for 9 logit

    regressions (one for each year over 19962004). The t-statistics are calculated using the Fama and Mac-

    Beth approach from the time series of fitted logit coefficients and assess the hypothesis that the expected

    coefficient value is zero. R2 is the mean pseudo-R2 for the 12 annual logit. RETURNi,t)1 = market-

    adjusted annual buy and hold return for company iin year t)1 where the All Ordinaries Accumulation

    Index for the year t)1 is used as the market return. All other variables are defined in Table 4.

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    buyback are qualitatively similar to those for the likelihood of paying ordinary

    or special dividends.

    Untabulated results of panel regressions (with industry and year effects) esti-

    mating the likelihood of a firm engaging in an on-market buyback are qualita-tively similar to the FamaMacbeth results reported in Table 7. The sign of the

    coefficients are unchanged, and the level of statistical significance is consistent

    with the reported results.

    Overall, our evidence is consistent with the life-cycle explanation for dividend

    payments. Controlling for known determinants of dividend policy (size, profit-

    ability and growth), we find that the proportion of assets from earned profits is

    positively associated with both the likelihood of a firm paying a regular and spe-

    cial dividend but is negatively associated with the level of franking credits paid

    on dividends. Our results suggest that the life-cycle theory also explains on-mar-ket share buybacks, but that firms paying dividends are more likely to be engag-

    ing in buybacks. This is consistent with the results in Brown and ODay (2007)

    who find that in Australia buybacks have not been financed with a reduction in

    the payment of ordinary dividends.

    5. Conclusion

    We carefully document the extent of various forms of corporate payouts for

    Australian firms, and also test whether the life-cycle theory (DeAngelo et al.,

    2006) explains variation in payout policies of Australian firms. Ordinary divi-

    dends remain the most popular way of distributing cash to shareholders,

    although buybacks have increased in popularity and size in recent years. Unlike

    the US, the aggregate level of buybacks has not yet approached that of the pay-

    ment of ordinary dividends. Our results show the importance of dealing with the

    size distribution of Australian firms; there is a large difference between median

    and mean payments for various forms of corporate payouts, and regular divi-

    dend payments are dominated by the largest listed firms.

    Our empirical evidence strongly supports the life-cycle theory, that is, dividend

    payments reflect firm maturity. There is evidence that those firms paying divi-dends are larger, more profitable, have fewer growth options and higher retained

    earnings than nondividend paying firms. We observe a positive relation between

    the decision to pay dividends and the proportion of retained earnings to assets,

    after controlling for firm size, profitability, growth, cash balances and prior divi-

    dend payment history. We do not find evidence that share buybacks have

    become a substitute for dividend payments over our sample period.

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