We test and confirm the hypothesis that individual investors are net buyers of attention-grabbing stocks, e.g., stocks in the news, stocks experiencing high abnormal trading volume, and stocks with extreme one day returns. Attention-driven buying results from the difficulty that investors have searching the thousands of stocks they can potentially buy. Individual investors don't face the same search problem when selling because they tend to sell only stocks they already own. We hypothesize that many investors only consider purchasing stocks that have first caught their attention. Thus, preferences determine choices after attention has determined the choice set.

All that Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors

We test and confirm the hypothesis that individual investors are net buyers of attention-grabbing stocks, e.g., stocks in the news, stocks experiencing high abnormal trading volume, and stocks with extreme one-day returns. Attention-driven buying results from the difficulty that investors have searching the thousands of stocks they can potentially buy. Individual investors do not face the same search problem when selling because they tend to sell only stocks they already own. We hypothesize that many investors consider purchasing only stocks that have first caught their attention. Thus, preferences determine choices after attention has determined the choice set.

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All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors

The basic paradigm of asset pricing is in vibrant f lux. The purely rational approach is being subsumed by a broader approach based upon the psychology of investors. In this approach, security expected returns are determined by both risk and misvaluation. This survey sketches a framework for understanding decision biases, evaluates the a priori arguments and the capital market evidence bearing on the importance of investor psychology for security prices, and reviews recent models.

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Investor Psychology and Asset Pricing

This paper investigates the relationship between aggregate stock market trading volume and the serial correlation of daily stock returns. For both stock indexes and individual large stocks, the first-order daily return autocorrelation tends to decline with volume. The paper explains this phenomenon using a model in which risk-averse "market makers" accommodate buying or selling pressure from "liquidity" or "noninformational" traders. Changing expected stock returns reward market makers for playing this role. The model implies that a stock price decline on a high-volume day is more likely than a stock price decline on a low-volume day to be associated with an increase in the expected stock return.

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Trading Volume and Serial Correlation in Stock Returns

Investor Psychology and Security Market Under- and Overreactions

We test overreaction theories of short-run momentum and long-run reversal in the cross section of stock returns. Momentum profits depend on the state of the market, as predicted. From 1929 to 1995, the mean monthly momentum profit following positive market returns is 0.93 percent, whereas the mean profit following negative market returns is negative 0.37 percent. The up-market momentum reverses in the long-run. Our results are robust to the conditioning information in macroeconomic factors. Moreover, we find that macroeconomic factors are unable to explain momentum profits after simple methodological adjustments to take account of microstructure concerns.

/pdf/market-states-and-momentum-2o1ubo5j2l.pdf

Market States and Momentum

We test overreaction theories of short-run momentum and long-run reversal in the cross section of stock returns. Momentum profits depend on the state of the market, as predicted. From 1929 to 1995, the mean monthly momentum profit following positive market returns is 0.93%, whereas the mean profit following negative market returns is −0.37%. The up-market momentum reverses in the long-run. Our results are robust to the conditioning information in macroeconomic factors. Moreover, we find that macroeconomic factors are unable to explain momentum profits after simple methodological adjustments to take account of microstructure concerns. SEVERAL BEHAVIORAL THEORIES have been developed to jointly explain the shortrun cross-sectional momentum in stock returns documented by Jegadeesh and Titman (1993) and the long-run cross-sectional reversal in stock returns documented by DeBondt and Thaler (1985). 1 Daniel, Hirshleifer, and Subrahmanyam (1998; hereafter DHS) and Hong and Stein (1999; hereafter HS) each employ different behavioral or cognitive biases to explain these anomalies. 2, 3

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This paper examines the relationship between the stock price synchronicity and analyst activity in emerging markets. Contrary to conventional wisdom that suggests that security analysts specialize in the production of firm-specific information, we find that the security analysts predominantly produce market-wide information. Using the R-square statistics of the market model as a measure of the synchronicity of stock price movements, we find that more analyst coverage leads to an increase in stock price synchronicity. Furthermore, after controlling for the influence of firm size on the lead-lag relation, we find that returns on high analyst-following portfolio lead returns on low analyst-following portfolio more than vice versa. We also find that the aggregate changes in the earnings forecast of high analyst-following portfolio affect the aggregate returns of the portfolio itself as well as the the low analyst-following portfolio while the aggregate changes in the earnings forecasts of low analyst-following portfolio have no predictive ability. Finally, when the forecast dispersion is high, the effect of analyst coverage on stock price synchronicity is reduced.

Stock Price Synchronicity and Analyst Coverage in Emerging Markets

https://isiarticles.com/bundles/Article/pre/pdf/13842.pdf

Consistent with recent theoretical models where binding capital constraints lead to sudden liquidity dry-ups, we find that negative market returns decrease stock liquidity, especially during times of tightness in the funding market. The asymmetric effect of changes in aggregate asset values on liquidity and commonality in liquidity cannot be fully explained by changes in demand for liquidity or volatility effects. We document interindustry spillover effects in liquidity, which are likely to arise from capital constraints in the market making sector. We also find economically significant returns to supplying liquidity following periods of large drops in market valuations. In recent theoretical research, the idea that market declines cause asset illiquidity has received much attention. Liquidity dry-ups are argued to occur because market participants engage in panic selling (a demand effect), finan cial intermediaries withdraw from providing liquidity (a supply effect), or both. In this paper, we explore empirically what happens to market liquidity after large market declines and whether supply effects exist in equity markets. It is difficult to establish the actual identity of financial intermediaries in equity markets as they could be specialists, floor traders, limit order providers, or other traders like hedge funds. Furthermore, the actual positions and balance sheets of these intermediaries are unknown. We therefore take an encompass ing approach by investigating the impact of market declines on various dimen sions of liquidity, including: (1) time-series as well as cross-sectional variation in liquidity; (2) commonality in liquidity; and (3) cost of liquidity provision. Theoretical models obtain illiquidity after market declines in a variety of ways. In collateral-based models, market makers make markets by absorbing

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Allaudeen Hameed

Papers

Market States and Momentum

Market States and Momentum

Stock Price Synchronicity and Analyst Coverage in Emerging Markets

Stock Price Synchronicity and Analyst Coverage in Emerging Markets

Stock Market Declines and Liquidity