an assessment of the xbrl taxonomy for financial reports matt bovee, mike ettredge, raj srivastava,...

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An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

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Page 1: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

An Assessment of the XBRL Taxonomy for Financial Reports

Matt Bovee, Mike Ettredge,

Raj Srivastava, Liv Watson

Page 2: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Purpose of the Study

• The purpose of this study is to field test the commercial and industrial XBRL taxonomy for U.S. GAAP by applying it to a sample of recent financial statements issued by firms.

Page 3: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Expected Benefits

• Provide the XBRL consortium and other interested parties with feedback about the actual fit between the existing taxonomy and recent current practice as represented by the selected financial reports.

• The XBRL consortium can use this feedback to modify the taxonomy if desired.

Page 4: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Expected Benefits (continued)

• Encourage corporations issuing public financial reports to examine the correspondence between their reporting practices and the proposed taxonomy.

• Alert accounting academics to an important development in financial reporting technology. The development of the XBRL taxonomy raises interesting issues, particularly with regard to aggregation of financial data.

Page 5: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

The Sample

• The sample was drawn from industries covered by the Fortune 1000. To date, seven firms have been selected from each of ten industries:

Initial sample (7 x 10) 70

Less unusable firms - 3

Current sample 67

Page 6: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

The C&I Taxonomy

• Tables 1 through 10 of the paper show the XBRL taxonomy for Financial Reporting for Commercial and Industrial Companies (7/31/2000 release).

• We show the taxonomy only for the Balance Sheet (BS), Income Statement (IS) and Statement of Cash Flows (SCF).

Page 7: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Interpreting the Tables

• ‘Children’ accounts are shown above and to the right of their ‘Parent’ account:

Convert. or Exchang. Debentures

Convertible or Exchangeable Notes

Convertible or Exchangeable Debt

• The $ amount assigned to the Parent account equals the sums of the amounts for its Children.

Page 8: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Interpreting the Tables (continued)

• Accounts titles shown in Italics indicate recommended additions to the taxonomy.

Account titles shown in Bold indicate recommended changes to existing titles.

• In these slides we use blue font to represent the taxonomy and green font to represent sample firms’ accounts.

Page 9: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Aggregation of Accounts

• Aggregation refers to the extent that similar data items are combined for presentation in financial reports. For example, this presentation:

Convert. or Exchang. Debentures

Convertible or Exchangeable Notes

Convertible or Exchangeable Debt

is less aggregated than this presentation:

Convertible or Exchangeable Debt

Page 10: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Aggregation of Accounts (continued)

• Aggregation of accounting data involves loss of detail.

• Within limits, managers can decide how far to aggregate control accounts when designing financial statements. The desired level of aggregation likely depends on managers’ incentives and on firm characteristics.

Page 11: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Aggregation and the Taxonomy

• A financial reporting taxonomy such as XBRL embodies a particular aggregation of control accounts. Finely dis-aggregated data are incompatible with a brief taxonomy.

• Like any taxonomy, XBRL imposes limits on the level of data aggregation and dis-aggregation that a firm can employ without modifying the taxonomy.

Page 12: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Missing Tags and Firm-Specific Items

• In numerous instances, the sample firms’ accounts are more dis-aggregated than the (unmodified) taxonomy permits.

• In such instances we tried to decide whether the accounts in question represented firm-specific items that do not justify a proposed new XBRL tag, or represented XBRL tags that should exist, but do not.

Page 13: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Example Missing Tag: Balance Sheet

• Peoplesoft Inc. (12/31/1999) disclosed among its liabilities:

Long-term deferred revenues• The XBRL taxonomy provides a tag for ‘Deferred

Revenue’ among the current liabilities, but no corresponding tag for a non-current liability. In table 4 we recommend adding this tag:

Deferred Revenue and Income

Page 14: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Example Missing Tag: Income Statement

• A unique feature of the Income Statement is that many missing tags consisted of earnings subtotals rather than individual revenues or expenses.

• Dana Corp., for example, presented the following item in its 1999 IS:

Income before minority interest and equity in earnings of affiliates

Page 15: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Example for IS, continued

• The XBRL taxonomy includes tags for both ‘Minority Interest, Net of Tax’ and ‘Equity in Income (Loss) of Unconsolidated Affiliates, Net of Tax’ (as children of ‘Non-Operating Income (Expense’)). However, the preceding earnings total in XBRL is ‘Operating Profit,’ not ‘Income before Minority Interest and Equity in Earnings of Affiliates.’

Page 16: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

A Possible Solution?

• One possibility is suggested by the IS of Oshkosh Truck Corp. (9/30/2000). That IS reports an item:

Income before items noted below

• Perhaps the XBRL taxonomy should include a ‘wild card’ tag such as this, that could be used with any firm-generated subtotal that does not fit the existing taxonomy.

Page 17: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Example Firm-Specific IS Item

• The 1999 IS of IBM Corp. provides a good example of items classified as firm specific. It includes revenues and costs broken out by business segments:

Hardware

Global Services

Software

Global Financing

Enterprise Investments/Other

Page 18: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Example Missing Tag: Cash Flows

• The XBRL taxonomy allows a firm to reconcile net income to operating cash flows in the SCF by ‘adding back’ a tag titled ‘Depreciation and Amortization’. Alternatively, one can add back either or both of two children accounts: (1) ‘Depreciation’ and (2) ‘Amortization’. A number of sample firms, however, desire to distinguish between amortization of goodwill and of other intangibles.

Page 19: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Example for SCF, continued

• Albertsons’ Inc. SCF (2/3/2000) shows:

Depreciation and amortizationGoodwill amortization

We recommend the following:

Depreciation

Goodwill Amortization

Other Amortization

Page 20: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Grouped Items

• Grouped items are accounts that violate the parent/child relations permitted by XBRL. Often a sample firm will disclose an account that can be mapped to two or more XBRL tags (i.e., the firm’s account represents a group of tags). However, these XBRL tags do not constitute the only children of the same parent tag. If they did, the firms’ account could simply be mapped to the parent tag.

Page 21: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Grouped Items Example: Balance Sheet

• Xerox Corp., (12/31/1999) reports the following among its non-current liabilities:

Deferred taxes and other liabilities

Page 22: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Grouped Items Example, continued

The unmodified BS taxonomy in table 4 includes:

Long Term Debt

Deferred Income Taxes

Etc.

Other Non-Current Liabilities

Non-Current Liabilities

Page 23: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Grouped Items Example, continued

• Xerox’s item maps to two different XBRL tags: ‘Deferred Income Taxes,’ and ‘Other Non-Current Liabilities’.

• Xerox’s item can’t be mapped to the parent tag ‘Non-Current Liabilities,’ because that parent tag has other children such as ‘Long Term Debt.’

Page 24: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

A Possible Solution?

• Perhaps the XBRL taxonomy should include a ‘wild card’ tag such as ‘Total for Items Noted Above’ that could be used with any grouped item. For the example, this might result in a presentation such as:

Amount

Deferred Income Taxes -

Other Non-Current Liabilities -

Total for Items Noted Above $XXX

Page 25: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

More about the SCF Taxonomy

• The slides above assessed the level of data aggregation inherent in the XBRL taxonomy by comparing the taxonomy with firms’ published financial statements.

• Next we employ a different approach by comparing the taxonomy’s data aggregation between financial statements. Below we compare the data aggregation embodied in the XBRL SCF taxonomy with the BS taxonomy.

Page 26: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Descriptive Statistics

• To conclude, we present descriptive statistics about missing tags, grouped items, and firm-specific items broken out by financial statement, industry, etc.

Page 27: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

BSIS

CFS

Grouped

Missing

Firm Specific

0

20

40

60

80

100

120

140

160

180

200

Figure 1 Exceptions By Type & Statement

Grouped

Missing

Firm Specific

Page 28: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Interpretation of Figure 1

• The large number of grouped items for the BS (and small numbers of missing and firm-specific items) suggest the BS taxonomy is more dis-aggregated than most firms desire.

• The small number of grouped items for the SCF (and large numbers of missing and firm-specific items) suggest the SCF taxonomy is more aggregated than most firms desire.

• The IS represents an intermediate case.

Page 29: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Figure 2 Exceptions by Statement by Industry

0

10

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30

40

50

60

Bever

ages

Compu

ter &

Offi

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quipt

Compu

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oftw

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Food

& D

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BS IS CFS

Page 30: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Interpretation of Figure 2

• The SCF generates the most exceptions in almost all industries.

• The largest numbers of BS and IS exceptions are found in the entertainment and petroleum refining industries.

• The taxonomy provides a better ‘fit’ for some industries than others. To see this, add together the three bars for each industry.

Page 31: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Figure 3 Exceptions by Type by Industry

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80

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Bever

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Grouped Missing Firm Specific

Page 32: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Interpreting Figure 3

• The entertainment and petroleum refining industries have large numbers of firm-specific items.

• Petroleum refining also has large numbers of grouped items.

• Missing tags are most numerous in the computer software industry.

Page 33: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

WSQ5WSQ4

WSQ3WSQ2

WSQ1

0

20

40

60

80

100

120

Web Score Quintile

Figure 4 Exceptions by Web Score by Statement

BS

IS

CFS

Page 34: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Interpreting Figure 4

• Firms that currently use their Web sites most heavily for disseminating financial information (WSQ4 and WSQ5) have fewer exceptions than those using their Web sites least for this purpose (WSQ1 and WSQ2).

• This is true for all three financial statements examined.

Page 35: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

WSQ5WSQ4

WSQ3WSQ2

WSQ1

0

20

40

60

80

100

120

Web Score Quintile

Figure 5 Exceptions by Web Score By Type

Grouped

Missing Tag

Firm Specific

Page 36: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Interpreting Figure 5

• Firms that currently use their Web sites most heavily for disseminating financial information (WSQ4 and WSQ5) have fewer exceptions than those using their Web sites least for this purpose (WSQ1 and WSQ2).

• This is true for all three types of exception examined.

Page 37: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Summary

• This study should provide the XBRL consortium and other interested parties with feedback about the actual fit between the existing taxonomy and recent current practice as represented by the selected financial reports.

• Based on this fit, we provide recommended changes to the taxonomy.

Page 38: An Assessment of the XBRL Taxonomy for Financial Reports Matt Bovee, Mike Ettredge, Raj Srivastava, Liv Watson

Summary

• The XBRL consortium can use this feedback to modify the taxonomy if desired. The recommended changes would eliminate most exceptions.

• An encouraging finding: Firms that are likely to be early adopters of XBRL (based on current use of Web sites) have financial reports that fit the taxonomy well.