Industry Information Diffusion and the Lead-lag Effect in Stock Returns

I argue that the slow diffusion of industry information is aleading cause of the lead-lag effect in stock returns. I findthat the lead-lag effect between big firms and small firms ispredominantly an intra-industry phenomenon. Moreover, this effectis driven by sluggish adjustment to negative information, andis robust to alternative determinants of the lead-lag effect.Small, less competitive and neglected industries experiencea more pronounced lead-lag effect. The lead-lag effect is relatedto the post-announcement drift of small firms following theearnings releases of big firms within the industry.     

Industry Concentration and Average Stock Returns

Firms in more concentrated industries earn lower returns, even after controlling for size, book‐to‐market, momentum, and other return determinants. Explanations based on chance, measurement error, capital structure, and persistent in‐sample cash flow shocks do not explain this finding. Drawing on work in industrial organization, we posit that either barriers to entry in highly concentrated industries insulate firms from undiversifiable distress risk, or firms in highly concentrated industries are less risky because they engage in less innovation, and thereby command lower expected returns. Additional time‐series tests support these risk‐based interpretations.     

Liquidity and the Future Stock Returns of the REIT Industry

This paper examines how deviations from expected optimal cash holdings affect future stock returns in the real estate investment trust (REIT) industry. Our findings indicate that REIT managers elect to hold less cash to reduce the agency problems of cash flow, supporting the pecking order theory that growth opportunities lead managers to retain more cash on hand. The results show that any deviation from the estimated optimal cash holdings is significantly detrimental to future market performance, suggesting that excess or insufficient cash is harmful to stock returns. The adverse influence of deviations above the optimal value is insignificantly stronger than that of deviations below the optimal value. We also find that the return performances of deviations that do not differ from the expected optimal value surpass those of deviations that differ significantly from the expected level. This implies that REIT managers determine their cash policies based on future growth opportunities and the external costs of capital. Finally, for REIT firms, holding excess or insufficient cash increases the possibility of agency conflict or underinvestment, which will consequently worsen the firm??s future performance.     

Federal Reserve Monetary Policy and Industry Stock Returns

Recent studies identify stock return patterns associated with changes in Federal Reserve monetary policy. We find that these return patterns prevail across sixteen industry stock indices. However, significant cross-industry variation exists as the apparel industry exhibits mean annual returns that are 50% higher under an expansive Fed policy than under a restrictive policy, while the same return difference for the oil industry is only 20%. This cross-industry variation suggests that monetary conditions may be used by investors to estimate different expected returns across industries. Furthermore, the findings support the view that monetary considerations should be considered in ex ante asset pricing models such as the CAPM.     

Capital Structure Theory and the Fisher Effect

This paper incorporates capital structure theory to model the response of nominal interest rates to expected inflation in a world with taxes. Within an otherwise common framework, the model includes Modigliani-Miller (MM) and Miller capital structure theory, as well as a variation of the Miller model with bankruptcy costs, developed by DeAngelo and Masulis. Within this framework, we derive an equation to predict the response of nominal interest rates under each capital structure hypothesis. With MM theory, our model predicts di_D/d_π value consistent with empirically observed ranges. With Miller theory, the predictions are inaccurate. With DeAngelo-Masulis, the predictions vary widely; the midpoint of the predicted range is less accurate than with Miller theory.     

The Postwar Stability of the Fisher Effect

Most research concerning the Fisher relationship has concentrated on the magnitude and significance of the response of nominal interest rates to anticipated inflation. Recently, attention has shifted to the stability of that response. According to previous estimates, the impact of anticipated inflation on interest rates varies substantially over time. By extending a standard model to include tax and aggregate supply shock effects, we are able to reduce such instability considerably. Our results also reveal that increased foreign demand for bonds lowers the interest rate.     

Taxes and the Fisher Effect: A Clarifying Analysis

Supply and demand functions for loanable funds are postulated for a no-inflation economy and equilibrium levels of saving, investment, and the interest rate are specified. Certainty and nondepreciating assets are assumed. An exogenous inflation rate is imposed upon this same economy and new equilibrium values for these same variables are established. The analysis is performed twice. The first time, a Modigliani-Miller [17] tax structure is assumed while the second analysis assumes a Miller-Scholes [15] tax structure. In both cases, inflation causes the nominal rate to increase by more than the inflation rate. The analysis is repeated assuming that investments live for one period and are then written off against taxable income at historical cost. In both tax structures, the level of saving and investment is a decreasing function of the inflation rate.     

Unsmoothing Commercial Property Returns: A Revision to Fisher–Geltner–Webb's Unsmoothing Methodology

Fisher, Geltner, and Webb (1993), in a highly influential paper, develop a procedure to recover the underlying market values from a smoothed valuation-based commercial property return index, without assuming that the underlying property market is informationally efficient. Many papers since then have used the Fisher–Geltner–Webb unsmoothing technique to desmooth commercial property returns. We show, however, that there is an inherent bias in Fisher–Geltner–Webb unsmoothing technique and propose a simple extension of their model to correct for this bias. We then compare the performance of our improved specification to that of the Fisher–Geltner–Webb model.     

A Long-Run Non-Linear Approach to the Fisher Effect

We argue that the empirical failure of the Fisher effect found in the literature may be due to the existence of non-linearities in the long-run relationship between interest rates and inflation. We present evidence that, for the U.S. during the 1960–2004 period, the Fisher relation presents important non-linearities. We model the long-run non-linear relationship and find that an ESTR model for the pre-Volcker era and an LSTR model for the post-Volcker era are able to control for non-linearities and constitute long-run co-integration vectors. Monte Carlo evidence produces support for the hypothesis that non-linearities may also be responsible for the less than proportional coefficients of inflation usually found in the linear specifications.     

我国股市行业间的收益与波动溢出效应研究——基于VAR模型构造溢出指数

已有的文献多是通过脉冲响应来刻画溢出效应,该方法得到的溢出效应不具有连续性,在实际应用中有一定的缺陷.而本文则是通过构建溢出指数的方法来衡量我国股市行业间的收益与波动的溢出效应,它能够从溢出指数走势特征中提取股市对信息的反应,可以辅助投资者预判市场走势,做好资产配置准备.研究发现我国股市行业间的收益与波动溢出指数的突变特征明显,收益溢出指数的突变点多是局部高点,而波动溢出指数的突变点多是局部低点.     

Short Selling and the Weekend Effect in Nasdaq Stock Returns

We examine daily short selling of Nasdaq stocks to explore whether speculative short selling causes a significant portion of the weekend effect in returns. We identify a weekend effect in speculative short selling whereby it constitutes a larger percentage of trading volume on Mondays versus Fridays. We find an opposite effect in dealer short selling, consistent with market makers adding liquidity and stability. Our main finding is that speculative short selling does not explain an economically meaningful portion of the weekend effect in returns, even among the firms most that are most actively shorted. This finding contradicts some prior studies.     

Trading Returns for the Weekend Effect Using Intraday Data

The existence of the weekend effect has been documented as early as 1885. This paper examines whether the serial dependence in returns around weekends and the magnitude of negative Friday returns can be used to produce superior trading returns. We find some success for this endeavor after accounting for transaction costs (including the bid/ask spread), especially when trading is confined to weekends for which there are large negative Friday returns and to positions opened on Friday afternoons. The effect of stocks trading ex-dividend on Mondays does not appear to bias our results.     

A Dividend Payment Effect in Stock Returns

This paper presents evidence for the period 7/62-12/89 that individual NYSE and AMEX stocks provide relatively high average excess returns on the payment dates of quarterly cash dividends and several subsequent trading days. Additional results indicate that returns during the payment period: (a) are not a manifestation of the January, monthly or dividend yield anomalies; (b) are positively related to the stock's dividend yield; and (c) are higher for firms that have dividend reinvestment plans. These findings are consistent with a tendency by stock-holders to reinvest dividend income into the stock of the paying firm, thereby increasing demand for the stock and raising its price. Additional evidence links the returns on these days with (previously-documented) excess returns around the ex-dividend date.     

Announcement Effects and Asymmetric Volatility in Industry Stock Returns: Evidence from Taiwan

This study employs financial econometric models to examine the asymmetric volatility of equity returns in response to monetary policy announcements in the Taiwanese stock market. The meetings of the board of directors at the Central Bank of the Republic of China (Taiwan) are considered for testing the announcement effects. The asymmetric generalized autoregressive conditional heteroskedasticity (GARCH) model and the smooth transition autoregression with GARCH model are used to measure equity returns' asymmetric volatility. We conclude that the asymmetric volatility of countercyclical equity returns can be identified. Our findings support the leverage effect of stock price changes for most industry equity returns in Taiwan.     

Spanish Stock Returns: Where is the Weather Effect?

Psychological studies support the existence of an influence of weather on mood. Saunders (1993) and Hirshleifer and Shumway (2001) argue that the weather could affect the behaviour of market traders and, therefore, it should be reflected in the stock returns. This paper investigates the possible relation between weather and market index returns in the context of the Spanish market. In 1989, this market changed its open outcry trading system into a computerised and decentralised trading system. Therefore, it is possible to check the influence of weather variables (sunshine hours and humidity levels) on index returns in an open outcry trading system, and to compare it with a screen traded environment. The empirical evidence indicates that, independently of the trading system, there is no influence of weather on stock prices. Thus, these findings do not contest the notion of efficient markets.     

A Further Investigation of the Weekend Effect in Stock Returns

This study uses a longer time period and additional stocks to further investigate the weekend effect. We find consistently negative Monday returns (1) for the S & P Composite as early as 1928, (2) for Exchange-traded stocks of firms of all sizes, and (3) for actively traded over-the-counter (OTC) stocks. The OTC results are based on bid prices and therefore appear to reject specialist-related explanations. For the 30 individual stocks of the Dow Jones Industrial Index, the average correlation between Friday and Monday returns is positive and the highest of all pairs of successive days. The latter finding is inconsistent with fairly general measurement-error explanations.     

Industry Concentration,Firm Efficiency and Average Stock Returns: Evidence from Australia

This study examines the relationship between industry concentration and level of firm efficiency and their effect on cross-sectional stock returns in Australian market. Our analysis shows that industry concentration and firm efficiency have independent effects on stock returns. By forming 25 double-sorted portfolios based on industry concentration and firm efficiency, INEFFICIENT firms in concentrated industry earn highest stock returns, while EFFICIENT firms in concentrated industry earn lowest stock returns. Also we find that industry concentration appears to be associated with market share while efficiency has a greater effect on firm earnings. In our cross-sectional regressions, industry concentration shows a positive relationship with average stock returns while firm efficiency shows a negative association with average stock returns. The concentration and efficiency effects are persistent throughout the sample period and is robust after controlling for size and book-to-market.     

Expected versus Ex Post Profitability in the Cross‐Section of Industry Returns

Asset pricing theory predicts a positive cross‐sectional relation between expected profitability and expected returns. However, empirical studies typically use lagged ex post profitability as a proxy for expected profitability. In this article, we use out‐of‐sample combination forecasts to estimate expected industry‐level operating profit, gross profit, operating cash flow, and net income. We then construct real‐time industry‐rotation strategies based on high and low expected profitability. For each measure except gross profit, these predicted‐profitability strategies earn significant alpha net of transaction costs and outperform strategies based on ex post profitability.     

On Stock Market Returns and Returns on Investment

This article presents general conditions under which it is possible to obtain asset pricing relations from the intertemporal optimal investment decision of the firm. Under the assumption of linear homogeneous production and adjustment cost functions (the Hayashi (1982) conditions), it is possible to establish, state by state, the equality between the return on investment and the market return of the financial claims issued by the firm. This result proves to be, in essence, robust to the consideration of very general constraints on investment and the inclusion of taxes.