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Idiosyncratic Risk and Creative Destruction in Japan

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Title: Idiosyncratic Risk and Creative Destruction in Japan


1
Idiosyncratic Risk and Creative Destruction in
Japan
  • Yasushi Hamao
  • Jianping Mei
  • Yexiao Xu

2
  • It was the best of times, it was the worst of
    times, it was the age of wisdom, it was the age
    of foolishness, it was the spring of hope, it was
    the winter of despair, we had everything before
    us, we had nothing before us, we were all going
    direct to Heaven, we were all going direct the
    other way.
  • Charles Dickens, A Tale of Two Cities

3
Motivation
  • Capital market perspective on Japanese stagnation
    in the 1990s (The Lost Decade)
  • Japan show different patterns from the U.S.
  • A sharp reduction in firm-level volatility
    relative to market volatility immediately
    following the Japanese market crash.
  • While market-wide volatility has increased, there
    is a significant drop in the variation of
    systematic risk across firms.

4
  • Lack of Restructuring
  • We discover a positive relation between changes
    in aggregate firm-level volatility and corporate
    bankruptcies.
  • It appears that increasing bankruptcies after
    1997 have led to higher firm-level volatility.
  • These results suggest that the sharp fall in
    firm-level volatility during the 1990-1996 period
    could be due to a lack of corporate
    restructuring.

5
  • The Role of keiretsu
  • A decrease in industrial production growth tends
    to increase the difference of firm-level
    volatility between non-keiretsu and keiretsu
    firms in 1990-96.
  • This means that during the recession period in
    Japan, there was a greater disparity of stock
    performance among non-keiretsu firms, indicating
    the presence of protection among group-affiliated
    firms.

6
  • We find similar results when comparing the
    firm-level volatility between firms with main
    banks and firms without main banks.
  • Thus, idiosyncratic volatility for firms with
    business group and main bank affiliations is much
    less responsive to economic conditions than that
    of firms without such affiliations

7
Implications
  • Macroeconomic models of cleansing recessions,
    (Caballero and Hammour (1994), Eden and Jovanovic
    (1994)) emphasize the impact of firm-level
    volatility on resource allocation during
    recession.
  • Durnev, Morck, and Yeung (2001) find that firms
    in industries with greater firm-specific return
    variation exhibit a higher quality of capital
    budgeting (their profitability indices, marginal
    Q ratios, are closer to one).
  • Wurgler (2000) demonstrates that equity markets
    do improve the allocation of capital.

8
  • A reduction in firm-level volatility and in the
    variation of systematic risk among firms leads to
    a more homogeneous firm valuation, implying that
    Japanese stocks were treated much less
    discriminatingly after the crash. Thus, both
    low-quality and high-quality firms had a similar
    cost of capital.
  • The reduction in firm-level volatility may also
    explain the increasing trend in market-wide
    volatility. (Good ones also become like
    lemons.)

9
Data and Background
  • Data
  • First and Second Sections of the Tokyo Stock
    Exchange (TSE). Monthly individual stock returns
    and volume. Annual financial statements data for
    book value of equity.
  • From 1975 to 1999. Subdivided to five 5-year
    periods. The numbers of stocks 1174, 1275,
    1368, 1521, and 1607.

10
GDP Growth Rate 1956-2000
11
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12
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13
  • Bubble in stock market popped at the beginning of
    1990.
  • Slow responses from government and business.
  • Banking system still has bad loan problem (as
    much as 100 trillion, 18 of GDP).
  • Major bank failures in 1997 and 1998
  • End of convoy system.

14
Measuring Idiosyncratic Volatility
  • Direct Decomposition Using Asset Pricing Models

15
  • Indirect Decomposition (Xu and Malkiel, 2001).
  • Total aggregate volatility is calculated
    by value weighting an individual stocks total
    volatility .
  • The aggregate idiosyncratic volatility is
    computed as the difference between the total
    aggregate volatility and the market volatility.

16
  • Lo and Wang (2000), Cremers and Mei (2002)
    duo-factor model.
  • Rit Et(Rit ) f1t bi1 ... fKt biK eit
  • i
    1,...,N t 1,...,T ,
  • Et( Rit ) rft l1t bi1 ... lKt biK,
  • tit ti di1g1t ... diKgKt xit

17
Time-Varying Market Volatility and Idiosyncratic
Volatility
  • Overall market Table 1.
  • The dynamic behavior of market and idiosyncratic
    volatility
  • Visual impression from Figure 2.
  • Augmented Dickey-Fuller test for nonstationarity.

18
  • Market volatility is stationary for the entire
    sample period.
  • The linear trend is positive and statistically
    significant at 1 level.
  • Aggregate idiosyncratic volatility ln(?IV) for
    the entire sample period appears to be
    non-stationary, with Augmented Dickey-Fuller test
    statistics of -18.75 compared with the critical
    value of -24.5.
  • The trend coefficient for idiosyncratic
    volatility is not significantly different from
    zero.

19
  • For idiosyncratic volatility in 1985-1999, the
    ADF test strongly rejects the unit root
    hypothesis.
  • There is a statistically significant downward
    trend in the idiosyncratic volatility.
  • This is also robust to other measures of
    idiosyncratic volatilities.
  • Therefore, the aggregate stock market volatility
    in Japan has trended upwards over the years, but
    firm-level volatility decreased during the 1990s.

20
R2 and Correlation Coefficient
  • Average R2 as a measure of market information
    inefficiency (Morck, Yeung, and Yu, 2000 Durnev,
    Morck, Yeung, and Zarowin, 2002 and Wurgler,
    2000).
  • Higher R2 implies that the market is less
    informationally efficient.
  • Figure 3a shows R2 from market model (24-month
    rolling regression). A sharp fall in information
    efficiency during the post-bubble period and a
    slight improvement in more recent years.

21
  • Similar pattern is shown in Figure 3b for average
    pair-wise correlations using past 24 months data.
  • Stocks in the Japanese market lost their
    individuality and started to move together after
    1990.

22
Idiosyncratic Volatility and R2 in a Multi-Factor
Model
  • Table 4 3 or 4 factors in returns, 3 to 6
    factors in turnover.
  • Average R2s from multifactor models sharply rise
    in 1990-94 and 1995-99 periods.

23
Why Did Idiosyncratic Volatility Fall after 1990?
  • Main Bank system.
  • Banks provide firms with liquidity at times of
    financial distress (Hoshi, Kashap, and
    Scharfstein, 1990).
  • Examples of Main Bank rescue Yamaichi Sec.
    (1965), Mazda, Daishowa Paper, etc.
  • Keiretsu.
  • Sumitomo, Mitsubishi, etc. Presidents council.
  • Expensive and tough bankruptcy procedures.

24
  • All the above resulted in slow response to
    problems caused by burst bubble.
  • Very small number of bankruptcies of listed
    firms. (Figure 4b.) Too large to fail.

25
  • Bankruptcies and Idiosyncratic Risk (Table 5).
  • Regress annual change in idiosyncratic risk on
    number of bankruptcies and annual growth rate of
    GDP.
  • Weak positive relation between ?idio. risk and
    bankruptcies.
  • Regress changes in information efficiency
    variables on bankruptcy and DGP growth.
  • Negative relation Increase in bankruptcy tends
    to improve efficiency.
  • Rise in R2 may be due to lack of restructuring.

26
  • Recent increase in bankruptcies may be related to
    decrease in R2 and correlations.
  • Some anecdotal evidence Mycal, Daiei, etc.

27
  • Keiretsu, Main Bank relation and Idio. risk.
  • Regress difference (nonkeiretsu keiretsu), or
    (nonMB MB) of idio. risk on growth rate of
    industrial production.
  • Positive relation in pre-bubble and bubble
    period. An increase in IP tends to increase
    difference in firm level volatility.
  • Negative relation in post-crash (stagnation)
    period. Lower IP growth is related to higher
    disparity in firm level volatility of
    non-keiretsu (non-MB) vs. keiretsu (MB) firms.
  • Keiretsu (MB) firms are less sensitive to bad
    economic conditions protected by keiretsu and
    Main Banks.

28
Vicious Cycle
  • Lack of restructuring (bankruptcies) may have
    contributed to a reduction of efficiency of the
    Japanese market.
  • This makes it difficult to distinguish the good
    firms from bad ones, causing good ones to suffer,
    too.
  • Then further bailout may become necessary.

29
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30
Conclusions
  • More bankruptcies!
  • Future topics
  • Did reduction of efficiency affect capital
    budgeting?
  • Any effect on asset pricing?
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