The following hypotheses were developed during class discussion on the topic of whether some groups of stock lead others in their response to news shocks. The discussion took place in the Seminar in Finance Class, MS (Management) 2013. The paper for discussion was "Do Industries Lead Stock Market" [Download]
Hypotheses derived keeping in view slow diffusion of information and behavioral biases
H1: Firms with dispersed ownership will lead firms
with concentrated ownership
Rationale: It is assumed that firms
with concentrated ownership will have more information asymmetry as these firms
will not share much information with the market [For literature review on this
topic, you may read this paper]. In comparison,
firms with dispersed ownership will have more information available. As news
shocks hit the market, price discovery for firms with concentrated ownership
will be difficult and hence they will react to the news with delay (similar
rationale is available for non-synchronous trading hypothesis]
H2: Firms with less managerial ownership will lead
firms with more managerial ownership
Rationale: Similar rationale can be
developed for managerial ownership as for concentrated ownership. If managers
have intention of expropriating wealth from minority shareholders, they will
try to hide information from the market. With less information, share price
discovery becomes difficult and hence such firms will react with delay to new
information.
H3: Firms with higher trading volume will lead firms
with lower trading volume.
Rationale: Firms with higher trading
volume are more liquid and easy to price as they have more information
available about them compared to firms with low trading volume. For more
details, you can see paper Chordia and Swaminathan (2000) Download
H4: Firms with high beta stocks will lead firms with
low beta stocks
Rationale: Since investors give more
weight to loss than to a similar gain, stock with higher betas are expected to
be affected by this behavioral bias. Hence in down markets investors are
expected to sell these stocks quickly whereas lower beta stocks are expected to
react with delay. For up market conditions, the theoretical predictions are not
much clear about the two types of stocks.
H5: Small firms will lead large firms in down market
trend.
Rationale: Though the above
hypothesis seems to be in contradiction to the general finding of large stocks
leading the small stocks, but based on the rational which we developed for the
high beta stock it is plausible to expect that small firms will show quicker
reaction to economic news in down markets (not because of information
hypothesis but because of loss aversion hypothesis)
H6: Commodity market will lead stock market
Rationale:
Since economic activity is primarily originated from commodity market,
information from here will reach to the stock market with delay assuming
limited cognitive ability (Kahneman, 1973; Nisbett and Ross, 1980) and limited participation
Merton (1987) and Hong and Stein (1999)
H7: Firms in start of the supply chain will lead
firms that are towards the end of the supply chain.
Rationale: Again the rationale is
the slow diffusion of information. For details on this, you may read Menzly and
Ozbas (2004)
H8: Mature firms will lead young firms.
Rationale: Again the rationale is
the slow diffusion of information. Mature firms have more information about
them compared to young firms.
H9: Stocks being followed by more analysts tend to
lead stocks with no or less analysts.
Rationale: Institutional investors
and analysts generate more analaysis and information about the firms in which
they invest. Such firms are expected to have easier price discovery compared to
other firms.
References:
Chordia, Tarun, and Bhaskaran
Swaminathan. "Trading volume and cross‐autocorrelations in stock
returns." The Journal of Finance 55.2 (2002): 913-935.
Hong, H., Lim, T., Stein, J., 2000.
Bad news travels slowly: Size, analyst coverage, and the profitability of momentum
strategies. Journal of Finance 55, 265–295.
Hong, H., Stein, J., 1999. A unified
theory of underreaction, momentum trading and overreaction in asset markets.
Journal of Finance 54, 2143–2184.
Hong, H., Torous, W., Valkanov, R.,
2002. Do industries lead the stock market? Gradual diffusion of information and
cross-asset return predictability. FEN Working Paper /http://papers.ssrn.com/sol3/papers.cfm?abstract_id=326422S.
Merton, R., 1987. A simple model of
capital market equilibrium with incomplete information. Journal of Finance 42,
483–510.
Nisbett, R., Ross, L., 1980. Human
Inference: Strategies and Shortcomings of Social Judgment. Prentice-Hall,New
Jersey.
Kahneman, D., 1973. Attention and
Effort. Prenctice-Hall, Englewood Cliffs, New Jersey.
Menzly, L., Ozbas, O., 2004.
Cross-industry momentum. USC Working Paper.