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    ON THE SIGNIFICANCE OF A THREE YEAR STOCK MARKET DECLINE

    by

    Charles J. Higgins, Ph.D.Dept. of Finance/C.I.S.

    Loyola Marymount UniversityLos Angeles, CA 90045-8385

    Revised No. 3March 25, 2003

    Preliminary Draft, Not for Attribution

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    ON THE SIGNIFICANCE OF A THREE YEAR STOCK MARKET DECLINE

    At the end of 2002, the Dow Jones Industrial Average (DJIA) had

    declined for a third year in a rowfor the first time in over sixty years. As

    problematic as the DJIA is in terms of being a sample of only thirty

    securities, of not being a price weighted nor a market capitalization weighted

    index, and that a survivorship bias skews long term analyses given that de-

    listed securities are generally not included throughout the performance

    measure, the three year sequential negative performance was publicly

    questioned in terms of its significance. Likewise the Standard & Poors 500

    (S&P) index suffered a similar decline and while being generally free of

    some of the deficiencies associated with the DJIAcan be criticized as also

    having a survivorship bias. Had de-listed securities been included, then such

    a corrected measure would likely have a lower mean return and a probably

    larger standard deviation. The likelihood of a string of three consecutive

    market losses would decrease with a higher mean average annual return and

    would likely increase with a higher annual standard deviation.

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    simulations are not generally de rigueur , it would seem that an examination

    using a simulation approach would be capable of handling a once in a sixty

    year period event. It should be noted here, that the Efficient Market

    Hypothesis posits that subsequent security prices are a function of

    subsequent information and is usually regarded as normal in distribution.

    The price movements (P) and the derived returns (r) may in some measures

    incorrectly omit the dividend portion (D) of the total realized return (as is the

    case for the DJIA), and should be r t = (P t P t-1 + D t)/P t. The omission of the

    dividend return component further understates market return if one uses the

    DJIA.

    A simulation was created with a random normal distribution, with a

    mean return (r) and a standard deviation (s), or N(r,s), where the standard

    deviation was created from an original normalized distributionN(0,1).

    The standard deviation was calculated from [-2log (u 1)]sin(2piu 2) where

    the sin is in radians, and the two different us are independently selected

    uniformly distributed random numbers between 0 and 1. The simulation

    was comprised of 40,000 trials of 1,000 sequential yearly returns each,

    wherein each subsequent year was determined by P t = P t-1(1 + r). The

    simulation was initially tested with a mean return of zero (r = 0) and a

    standard deviation of s = .1. The initial test correctly resulted in a

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    subsequent set of substantially unchanged mean prices equaling P o for each

    time t and with subsequent standard deviations approximated and expected

    with s t = .1t when computed from time zero.

    When each of the aforementioned set of statistics was independently

    simulated, the year (Y) which resulted in the first occurrence of a string of

    three subsequent decreasing annual prices was stored, then the mean, median

    (50 th percentile or .5 cumulative frequency), and .05 and .95 cumulative

    frequency distributions (5 th and 95 th percentiles) for the years in each of the

    series of simulated runs were:

    Three Years in a Row of Negative Returnsr s Mean Y Y .05 Y .50 Y .95

    .072 .204 31.36 4 23 90

    .067 .202 29.66 3 21 84

    .1439 .1712 152.46 10 108 457

    .1503 .1673 187.54 13 136 578

    .1583 .1371 378.29 33 416 620

    .1331 .1671 130.26 9 92 385

    Thus, while a three-year sequence of declining security prices can be

    disturbing even after some sixty years, it is still difficult to reject a null

    hypothesis that during the three years of 2000-2002 that the security return

    performance was part of a series of random events. For the DJIA inflation

    adjusted returns (the first two rows of the above table) a sixty year period

    was well within the 5 th and 95 th percentiles, and that for the remaining

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    nominal returns a sixty year period was well within the 5 th percentile and the

    median (50 th percentile). Another way to approach a test for statistical

    significance, although a bit problematic, is to simulate the sixty year period

    and store the longest sequential periods of market declines, and then to note

    the cumulative frequency distribution for the three year decline. This

    approach becomes problematic in that the cumulative distributions are not

    sufficiently differentiable in that there are few items in the distributionthat

    is by the third year of sequential declines, the cumulative distribution was

    already substantially complete:

    Cumulative Distribution for the Occurrence of a MaximumYearly Sequence of Negative Returns at the Third Year

    r s Maximum at Third Year .072 .204 51.3 percent.067 .202 48.0.1439 .1712 92.7.1503 .1673 94.6.1583 .1371 98.7.1331 .1671 90.8

    Notice that generally the third year was the maximum sequence of years of

    negative returns ranging from 48.0 to 98.7 percent. This means that in

    approximately one-half to nearly all the cases (in the latter simulated runs)

    that a substantial number of sequenced negative yearly returns were less than

    three years. Moreover, the aforementioned problematic nature of this

    approach becomes apparent now in that the other distinguishable results are

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    so fewnamely just zero, one, and two years and already comprise a

    substantial portion of the distribution. Thus there exists in this approach an

    insufficient gradation of the results.

    The means and median measures for a four year string of negative

    realized returns increases the years of each occurrence:

    Four Years in a Row of Negative Returnsr s Mean Y Y .05 Y .50 Y .95

    .072 .204 89.60 7 63 264

    .067 .202 82.83 7 58 243

    .1439 .1712 468.33 41 544 757*

    .1503 .1673 500.48 51 644 827*

    .1583 .1371 594.85 241 632 871*

    .1331 .1671 130.26 32 412 807

    *These 95 th percentile cumulative years may be understated in thateach run was comprised of 1,000 years.

    Should events unfold so as to create a fourth year of negative return

    performance in 2003, then one could be justified in moving from a position

    of being unreasonably disturbed to that of being quite concerned.

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