Long-term reversals in the corporate bond market

Long-term reversals in corporate bonds are economically and statistically significant in a comprehensive sample spanning the period 1977 to 2017. Such reversals are stronger for bonds with high credit risk and more binding regulatory, capital, and funding liquidity constraints. Bond long-term reversal is not a manifestation of the equity counterpart and is mainly driven by long-term losers. A long-term reversal factor carries a sizable premium and is not explained by long-established equity and bond market factors. Thus, past returns capture investors’ ex-ante risk assessment and the degree of institutional constraints they face, so losing bonds command higher expected returns.     

Reprint of: Stock salience and the asymmetric market effect of consumer sentiment news

We document asymmetric announcement effects of consumer sentiment news on United States stock and stock futures markets. While a negative market effect occurs upon the release of bad sentiment news, there is no market reaction for the counterpart good news. This supports the “negativity effect” hypothesis. Notably, this effect seems most likely to occur in salient stocks, which is consistent with the availability heuristic.     

The Cross‐Section of Expected Stock Returns: What Have We Learnt from the Past Twenty‐Five Years of Research?

I review the recent literature on cross-sectional predictors of stock returns. Predictive variables used emanate from informal arguments, alternative tests of risk-return models, behavioural biases, and frictions. More than fifty variables have been used to predict returns. The overall picture, however, remains murky, because more needs to be done to consider the correlational structure amongst the variables, use a comprehensive set of controls, and discern whether the results survive simple variations in methodology .     

Price Limits, Information Acquisition, and Bid–ask Spreads: Theory and Evidence

A number of futures markets use price limits which, in effect, preclude trade from occurring at prices outside certain exogenous bounds. Noting that such markets are characterized by heterogeneously informed traders, whereas previous work on price limits assumes symmetrically informed traders, we examine the effects of price limits in a setting where market participants are asymmetrically informed. We find that imposing price limits generally lowers the quality of information acquired in equilibrium, but lowers bid–ask spreads as well. Thus, depending on the relative weights placed by society on liquidity versus price efficiency, there may exist a set of price limits that are most efficient in achieving a trade-off between liquidity and informational efficiency. We perform empirical tests of some implications of the model using cross-sectional data on price limits. We find that price limits are strongly negatively related to both price volatility and trading volume. Though other explanations for our empirical findings cannot be ruled out, these results are not inconsistent with the model's implication that price limits should be tighter for contracts which offer greater profit potential for informed traders.     

Distinguishing Between Rationales for Short‐Horizon Predictability of Stock Returns

In this paper, we shed light on short‐horizon return reversals. We show theoretically that a risk‐based rationale for reversals implies a relation between returns and past order flow, whereas a reversion in beliefs of biased agents does not do so. The empirical results indicate that returns are more strongly related to own‐return lags than to lagged order imbalances. Thus, the evidence suggests that monthly reversals are not completely captured by inventory effects and may be driven, in part, by belief reversion. We do find that returns are cross‐sectionally related to lagged imbalance innovations at horizons longer than a month.     

Liquidity Dynamics Across Small and Large Firms

In this paper, we analyse cross‐sectional heterogeneity in the time‐series variation of liquidity in equity markets. Our analysis uses a broad time‐series and cross‐section of liquidity data. We find that average daily changes in liquidity exhibit significant heterogeneity in the cross‐section; the liquidity of small firms varies more on a daily basis than that of large firms. A steady increase in aggregate market liquidity over the past decade is more strongly manifest in large firms than in small firms. Absolute stock returns are an important determinant of liquidity. We investigate cross‐sectional differences in the resilience of a firm's liquidity to information shocks. We use the sensitivity of stock liquidity to absolute stock returns as an inverse measure of this resilience, and find that the measure exhibits considerable cross‐sectional variation. Firm size, return volatility, institutional holdings, and volume are all significant cross‐sectional determinants of this measure.
(J.E.L.: D82, G10, G14).     

Feedback and the success of irrational investors

We provide a model in which irrational investors trade based upon considerations that have no inherent connection to fundamentals. However, trading activity affects market prices, and because of feedback from security prices to cash flows, the irrational trades influence underlying cash flows. As a result, irrational investors can, in some situations, earn abnormal (i.e., risk-adjusted) profits that can exceed the abnormal profits of rational informed investors. Although the trading of irrational investors cause prices to deviate from fundamental values, stock prices follow a random walk.     

A theory of trading in stock index futures

It is demonstrated that markets in stock index futures or, moregenerally, in baskets of securities, provide a preferred tradingmedium for uniformed liquidity traders who wish to trade portfolios,because adverse selection costs are typically lower in thesemarkets than in markets for individual securities. Thus, anexplanation is provided for the immense liquidity and popularityof markets in stock index futures. Implications are also developedfor the effect of the introduction of a basket on market liquidityand the informativeness and variability of component securityprices, and for the price relationship between the basket andits underlying portfolio.