RISK, SEASONALITY AND THE ASYMMETRIC BEHAVIOUR OF STOCK RETURNS

For some time there has been a puzzle surrounding the seasonal behaviour of stock returns. This paper demonstrates that there is an asymmetric relationship between systematic risk and return across the different months of the year for both large and small firms. In the case of both large and small firms systematic risk appears to be priced in only two months of the year, January and April. During the other months no persistent relationship between systematic risk and return appears to exist. The paper also shows that when systematic risk is priced, the size of the systematic risk premium is higher for large firms than for small firms and varies significantly across the months of the year.     

RISK-RETURN SEASONALITY AND MACROECONOMIC VARIABLES

In this paper I examine seasonality in the pricing of the Chen, Roll, and Ross (1986) macroeconomic variables. January seasonality is observed in the risk premia from 1932 to 1990. Examination of the 1932–57 period indicates nonstationary seasonals in the risk premia. The results cannot be attributed to the previously documented firm size effect. Residual risk is priced, and a strong January seasonality is observed in the residual risk premia. The market portfolio is not priced in the presence of the other variables. Trading volume is not priced in the individual months, but appears significant when all months are considered together.     

The size effect in the Mexican stock market

This paper tests for a firm size effect in the Mexican stock market using data from January 1987 to December 1992. Our initial tests indicate that average stock returns are positively related to market betas. We also find, however, that average returns are negatively related to firm size. To measure the effects on average return of betas that are unrelated to firm size, we examine portfolios formed on the basis of size and beta We find that beta is priced in addition to firm size for the Mexican stock market, even after carefully separating the effects of beta and size.     

The tax-loss selling hypothesis,market liquidity,and price pressure around the turn-of-the-year

In this paper, we use intra-day data for all stocks listed on the ISSM and provide new and direct evidence consistent with the tax-loss selling hypothesis. We find that (a) there is abnormal selling pressure prior to the year-end for stocks that have experienced large capital losses in the current and prior years (b) investors delay realizing capital gain by postponing the sale of capital gain stocks until after the new year (c) there is a significant decrease in the average trade size for stocks with large capital losses before the year-end and for stocks with capital gains in the new year, which suggests that individuals, rather than institutional investors, are the major sellers around the year-end (d) the tax-loss selling hypothesis, and not firm size or share price, is the fundamental explanation for abnormal January returns. Further, small or low share priced firms with capital gains do not experience abnormal returns in January. However, conditional on capital losses, small or low share priced firms magnify the turn-of-the-year effect (e) On average, the increase in selling activity adversely affects market liquidity by increasing bid-ask spreads and reducing depths. (f) The tax-loss selling pressure not only causes the price to be at the bid at the year-end, it also temporarily depresses the equilibrium price indicating the short run demand curve is not perfectly elastic (g) the year-end buying activity suggests that large investors buy capital loss stocks prior to the year-end to take advantage of the temporarily depressed price and capital gain stocks after the new year to reinvest the proceeds of the tax-loss selling.     

On the conditional pricing effects of beta,size, and book-to-market equity in the Hong Kong market

Using Hong Kong equity stock data, this study examines empirically the pricing effects of beta, firm size, and book-to-market equity, but conditional on market situations, i.e. whether the market is up or down. Evidence supports the hypothesis that, if the risk variable is priced by the market, then there exists a systematic but conditional relation between the risk variable and average return, and this relation takes on opposite directions during up and down markets. However, the significance of the relations is often affected by the changing values of the risk variables as a result of changes in market conditions. Specifically, it is found that all three risk variables, namely beta, size, and book-to-market equity, exhibit conditional pricing effects. This is the first comprehensive study of its kind on Hong Kong market, which provides out-of-sample evidence relative to earlier tests on US data. The findings give important insights into capital market behaviour, which should prove useful in investment management and corporate financial decisions.     

Idiosyncratic Cash Flows and Systematic Risk

We show that unpriced cash flow shocks contain information about future priced risk. A positive idiosyncratic shock decreases the sensitivity of firm value to priced risk factors and simultaneously increases firm size and idiosyncratic risk. A simple model can therefore explain book‐to‐market and size anomalies, as well as the negative relation between idiosyncratic volatility and stock returns. Empirically, we find that anomalies are more pronounced for firms with high idiosyncratic cash flow volatility. More generally, our results imply that any economic variable correlated with the history of idiosyncratic shocks can help to explain expected stock returns.     

Asset pricing in China's domestic stock markets: Is there a logic?

China's stock markets have grown rapidly since their inception and have become an increasingly important emerging market for international investors. However, there are few systematic studies on how asset prices are formed in Chinese domestic equity markets; popular financial media even depict the market as irrational. In this paper, we study the asset pricing mechanism in the nascent Chinese stock markets, with the objective of identifying variables that capture the cross-sectional variation in average stock returns. We focus on the effects of various market imperfections in China. We find that while the market risk (beta) is not priced, there is a significantly negative relationship between firm-specific risk and expected returns. Chinese investors are willing to pay a significant premium for more liquid stocks or for dividend-paying stocks. Furthermore, investors value local A-shares more if there are offshore counterparts (e.g., B- and H-shares) for foreigners, implying that a Chinese firm with a foreign shareholder base has a lower cost of capital, ceteris paribus. Lastly, as with U.S. and other mature markets, firm size and the book-to-market ratio are systematically related to stock returns. Given market imperfections, stocks are priced rather rationally in China, despite the widespread perception to the contrary.     

ON STOCK RETURN SEASONALITY AND CONDITIONAL HETEROSKEDASTICITY

We model the seasonal volatility of stock returns using GARCH specifications and size-sorted portfolios. Estimation results indicate that there are volatility differences between months and that these seasonal volatility patterns are conditional on firm size. Additionally, we find that seasonal volatility does not explain seasonal returns when the reward for risk is held constant over the sample period. Specifically, our results indicate that much of the abnormal return in January for small firms cannot be entirely attributed to either higher systematic risk or a higher risk premium in January.     

Explaining turn of the year order flow imbalance

The paper provides evidence of a turn of the year effect in the order flow imbalance of both retail and institutional investors. In December there is net selling pressure which is reversed in January. We examine high frequency intraday order flow information and find that the changes in order flow imbalance between December and January are related to firm risk factors and characteristics. We find that retail order flow imbalances are associated with a wide range of risk characteristics including beta, illiquidity and unsystematic risk. Imbalances in institutional order flow are associated with only a small number of risk variables. We show that these order flow changes are important because risk premiums are elevated in January. Our results are robust to the effects of decimalization.     

Common risk factors in bank stocks

This paper provides evidence on the risk factors that are priced in bank equities. Alternative empirical models with precedent in the nonfinancial asset pricing literature are tested, including the single-factor CAPM, three-factor Fama–French model, and ICAPM. Our empirical results indicate that an unconditional two-factor ICAPM model that includes the stock market excess return and shocks to the slope of the yield curve is useful in explaining the cross-section of bank stock returns. However, we find no evidence that firm specific factors such as size and book-to-market ratios are priced in bank stock returns. These results have a number of important implications for the estimation of the banks’ cost of capital as well as regulatory initiatives to utilize market discipline to evaluate bank risk under Basel II.     

Exchange Rate Exposure at the Firm and Industry Level

Previous work on the exposure of firms to exchange rate risk has primarily focused on U.S. firms and, surprisingly, found stock returns were not significantly affected by exchange‐rate fluctuations. The equity market premium for exposure to currency risk was also found to be insignificant. In this paper we examine the relation between Japanese stock returns and unanticipated exchange‐rate changes for 1,079 firms traded on the Tokyo stock exchange over the 1975–1995 period. Second, we investigate whether exchange‐rate risk is priced in the Japanese equity market using both unconditional and conditional multifactor asset pricing testing procedures. We find a significant relation between contemporaneous stock returns and unanticipated yen fluctuations. The exposure effect on multinationals and high‐exporting firms, however, is found to be greater in comparison to low‐exporting and domestic firms. Lagged‐exchange rate changes on firm value are found to be statistically insignificant implying that investors are able to assess the impact of exchange‐rate changes on firm value with no significant delay. The industry level analysis corroborates the cross‐sectional findings for Japanese firms in that they are sensitive to contemporaneous unexpected exchange‐rate fluctuations. The co‐movement between stock returns and changes in the foreign value of the yen is found to be positively associated with the degree of the firm's foreign economic involvement and inversely related to its size and debt to asset ratio. Asset pricing tests show that currency risk is priced. We find corroborating evidence in support of the view that currency exposure is time varying. Our results indicate that the foreign exchange‐rate risk premium is a significant component of Japanese stock returns. The combined evidence from the currency exposure and asset pricing analyses, suggests that currency risk is priced and, therefoe, has implications for corporate and portfolio managers.     

The Role of Beta and Size in the Cross-Section of European Stock Returns

This paper examines the ability of beta and size to explain cross-sectional variation in average returns in 12 European countries. We find that average stock returns are positively related to beta and negatively related to firm size. The beta premium is in part due to the fact that high beta countries outperform low beta countries. Within countries high beta stocks outperform low beta stocks only in January, not in other months. We reject the hypothesis that differences in average returns on size- and beta-sorted portfolios can be explained by market risk and exposure to the excess return of small over large stocks (SMB). Consistent with recent US evidence, we find that after controlling for size, there is no association between average returns and exposure to SMB.     

Further Evidence On Investor Overreaction and Stock Market Seasonality

In a previous paper, we found systematic price reversals for stocks that experience extreme long-term gains or losses: Past losers significantly outperform past winners. We interpreted this finding as consistent with the behavioral hypothesis of investor overreaction. In this follow-up paper, additional evidence is reported that supports the overreaction hypothesis and that is inconsistent with two alternative hypotheses based on firm size and differences in risk, as measured by CAPM-betas. The seasonal pattern of returns is also examined. Excess returns in January are related to both short-term and long-term past performance, as well as to the previous year market return.     

上海股票市场规模效应的实证研究

规模效应是指公司规模与收益率之间存在的反向关系,即小规模公司较大公司而言有着更高的收益率。本文从上海证券市场随机抽取60只股票作为数据样本,对其从2007年1月到2009年6月之间的公司数据进行实证研究,得出上海股市存在着规模效应这一结论。     

Information Consumption and Asset Pricing

We study whether firm and macroeconomic announcements that convey systematic information generate a return premium for firms that experience information spillovers. We use information consumption to proxy for investor learning during these announcements and construct ex ante measures of expected information consumption (EIC) to calibrate whether learning is priced. On days when there are information spillovers, affected stocks earn a significant return premium (5% annualized) and the capital asset pricing model performs better. The positive effect of the Federal Reserve Open Market Committee announcements on the risk premia of individual stocks appears to be modulated by EIC. Our findings are most consistent with a risk‐based explanation.     

Seasonality and size effects: The case of real-estate-related investment

This article documents that the well-known size-related seasonality effects exist in real-estate-related investments. The average return on REITs in January is higher than that in any other month during the year, and the abnormally high return in January tends to disappear for large REITs, both equity and mortgage REITs. The January effect for mortgage REITs appears to be larger than that for equity REITs. Some more puzzles emerge in this article concerning seasonality, including a reverse small firm effect in certain other months.     

Counterparty credit risk and the credit default swap market

Counterparty credit risk has become one of the highest-profile risks facing participants in the financial markets. Despite this, relatively little is known about how counterparty credit risk is actually priced. We examine this issue using an extensive proprietary data set of contemporaneous CDS transaction prices and quotes by 14 different CDS dealers selling credit protection on the same underlying firm. This unique cross-sectional data set allows us to identify directly how dealers' credit risk affects the prices of these controversial credit derivatives. We find that counterparty credit risk is priced in the CDS market. The magnitude of the effect, however, is vanishingly small and is consistent with a market structure in which participants require collateralization of swap liabilities by counterparties.     

The Turn-of-the-Year in Canada

A number of investigators have reported that January stock returns in the U.S. exceed returns for other months of the year. This paper documents a similar finding for Canadian stocks over the period 1951–1980. However, Canada did not introduce a capital gains tax until 1973 and the paper reports that January returns in Canada exceed returns for other months of the year before and after this date. Thus, these data do not support the tax-loss-selling-pressure hypothesis as the entire explanation for the turn-of-the-year effect in stock returns, nor, by implication, do they support the tax-loss-selling-pressure hypothesis as the complete explanation for the “small firm” effect in U.S. stocks returns.     

Does the Pricing of Financial Reporting Quality Change Around Dividend Changes?

We examine whether accrual earnings quality is a priced information risk factor in a dividend change setting. We define information risk as the probability that firm‐specific financial statement information pertinent to investor pricing decisions is of low precision, and use the factor‐mimicking portfolio returns formed on the Dechow‐Dichev [2002] accrual quality (AQ) metric to proxy for the information risk (IR) factor returns. We augment the Fama‐French three‐factor model with this IR factor, and find that dividend initiation and increase firms exhibit a decrease in the factor loadings on the IR factor while dividend decrease firms exhibit an increase in the corresponding factor loadings, but such changes in the factor loadings occur months prior to the dividend change announcements. The results are robust to further controls for operating risk and using an alternative measure of information risk. Further analysis on changes in information characteristics such as AQ, the probability of informed trading score (PIN), forecast dispersion, and return volatility surrounding dividend change events are consistent with the asset pricing results. Overall, we interpret our results as being consistent with investors treating the information risk associated with the precision of financial statement information as a priced risk factor, with both the precision and pricing changing in predictable directions around dividend changes. However, while we attempt to control for operating risk changes in additional tests, we cannot completely rule out changes in operating risk as a competing alternative explanation for our observed results.