Time‐Varying Risk–Return Trade‐off in the Stock Market

We uncover a strong comovement of the stock market risk–return trade‐off with the consumption–wealth ratio (CAY). The finding reflects time‐varying investment opportunities rather than countercyclical aggregate relative risk aversion. Specifically, the partial risk–return trade‐off is positive and constant when we control for CAY as a proxy for investment opportunities. Moreover, conditional market variance scaled by CAY is negatively priced in the cross‐section of stock returns. Our results are consistent with a limited stock market participation model, in which shareholders require an illiquidity premium that increases with CAY, in addition to the risk premium that is proportional to conditional market variance.     

Stock return volatility,operating performance and stock returns: International evidence on drivers of the ‘low volatility’ anomaly

This study highlights the link between stock return volatility, operating performance, and stock returns. Prior studies suggest that there is a ‘low volatility’ anomaly, where firms with a low stock return volatility out-perform firms with a high stock return volatility. This paper confirms that low volatility stocks earn higher returns than high volatility stocks in emerging markets and developed markets outside of North America. We also show that low volatility stocks have higher operating returns and this might explain why low volatility stocks earn higher stock returns. These results provide a partial explanation for the ‘low volatility effect’ that is independent from the existence of market anomalies or per se inefficiencies that might otherwise drive a low volatility effect. We emphasize the importance of controlling for stock return volatility when analyzing operating performance and stock performance.     

The Pricing of Equity Carve-Outs

This article examines the pricing of stock for 251 equity carve‐outs during the 1986–1995 period. We document a mean initial‐day return of 5.83% and a mean one‐week return of 5.43%. Among carve‐outs, the initial underpricing is lower for issues represented by high prestige investment bankers and those that have a lower offer price. In comparison with 251 initial public offering (IPO) firms matched by size and book‐to‐market ratio of equity, carveouts exhibit significantly lower initial‐day returns, but their buy‐and‐hold returns for sixmonth and one‐year periods are not significantly different from IPOs. The IPO firms have a three‐year return of 28.82% which is significantly higher than the 21.07% return for the carve‐out firms.     

The predictive power of investment and accruals

We test whether investment explains the accrual anomaly by splitting total accruals into investment-related and “nontransaction” accruals, items such as depreciation and asset write-downs that do not represent new investment expenditures. The two types of accruals have very different predictive power for firm performance, not just for future earnings but also for future cash flow and stock returns. Most importantly, nontransaction accruals have the strongest negative predictive slopes for earnings and stock returns, contrary to the predictions of the investment hypothesis. A long-short portfolio based on nontransaction accruals has a significant average return of 0.71 % monthly from 1972 to 2010 and remains profitable at the end of the sample when returns on other accrual strategies decline. Our results suggest that nontransaction accruals are the least reliable component of accruals and show that a significant portion of the accrual anomaly cannot be explained by investment.     

Market States and the Effect on Equity REIT Returns due to Changes in Monetary Policy Stance

This study investigates the effect of changes in monetary policy on US equity real estate investment trust (EREIT) returns in lower and higher return ranges during bull, bear, and volatile stock market states using quantile regression. Results show that EREIT returns are sensitive to changes in monetary policy at different EREIT return ranges in different market states. During bull markets, changes in monetary policy have a significant negative impact on EREIT when investors have lower expectations of real estate price increases, but are not effective when investors have higher expectations of real estate price increases. During volatile and bear markets, EREIT returns are not sensitive to changes in monetary policy stance. Results also show that EREIT returns respond positively to stock returns in various states and conditions.     

Technical indicators and cross-sectional expected returns

This study shows that 14 widely documented technical indicators explain cross-sectional stock returns. These indicators have lower estimation errors than the three-factor Fama–French and historical mean models. The long-short portfolios based on the cross-sectional technical signals generate substantial excess returns. These remain consistent after controlling for well-known cross-sectional return determinants, including momentum, size, book-to-market ratio, investment, and profitability. Our findings suggest that technical indicators play an important role in determining variation in cross-sectional returns.     

Asset pricing in production economies with extrapolative expectations

Introducing extrapolative bias into a standard production-based model with recursive preferences reconciles salient stylized facts about business cycles (low consumption volatility, high investment volatility relative to output) and financial markets (high equity premium, volatile stock returns, low and smooth risk-free rate) with plausible levels of risk aversion and intertemporal elasticity of substitution. Furthermore, the model captures return predictability based upon dividend yield, Q, and investment. Intuitively, extrapolative bias increases the variation in the wealth–consumption ratio, which is heavily priced under recursive preferences; adjustment costs decrease the covariance between marginal utility and asset returns. Empirical support for key implications of the model is also provided.     

Term structure of return correlations and international diversification: evidence from European stock markets

The paper examines the term structure of correlations of weekly returns for the stock market in the US, Japan and nine European countries between 1988 and 1994. Stock indices are decomposed into permanent and temporary components using a canonical correlation analysis and then short- and long-horizon return correlations are calculated from these two price components. The empirical results reveal that the relationships of return correlations among these stock markets are not stable across return horizons. While correlations, in general, tend to increase with return horizons, there are several cases showing that correlations decline when investment horizons increase.     

Accounting‐Based Probabilistic Prediction of ROE,the Residual Income Valuation Model and the Assessment of Mispricing in the Swedish Stock Market

Using Swedish stock market data, this study investigates whether an investment strategy based on publicly available accounting information can generate abnormal investment returns. The strategy involves two steps. First, an accounting‐based probabilistic prediction model of changes in the medium‐term book return on owners' equity (ROE) is estimated. Second, market expectations of changes in medium‐term ROE are assessed through observed stock prices and the residual income valuation model. Stock market positions over 36‐month holding periods are taken when the accounting‐based predictions of ROE and the market expectations differ. Over the period 1983–2003, the investment strategy generated values of Jensen's alpha corresponding to an average monthly excess return for a hedge position of up to 0.8% for a sample of manufacturing companies. In the main this hedge return was caused by strong positive returns to the long positions, and additional analyses show that the returns appear to have been affected by a positive market sentiment bias (i.e., positive ROE surprises being associated with stronger price reactions than negative ROE surprises) making out‐of‐sample inferences somewhat dubious. Furthermore, most of the investment returns accrued over holding periods up to around 1995, with no indications of market mispricing over the last third (1995–2003) of the investment period. The empirical results are consistent with market investors having become more sophisticated in their use of publicly available accounting information over time.     

Nonlinear mean reversion in stock prices

This paper provides new evidence on the time-series predictability of stock market returns by introducing a test of nonlinear mean reversion. The performance of extreme daily returns is evaluated in terms of their power to predict short- and long-horizon returns on various stock market indices and size portfolios. The paper shows that the speed of mean reversion is significantly higher during the large falls of the market. The parameter estimates indicate a negative and significant relation between the monthly portfolio returns and the extreme daily returns observed over the past one to eight months. Specifically, in a quarter in which the minimum daily return is −2% the expected excess return is 37 basis points higher than in a month in which the minimum return is only −1%. This result holds for the value-weighted and equal-weighted stock market indices and for each of the size decile portfolios. The findings are also robust to different sample periods, different indices, and investment horizons.     

The Stock Market and Corporate Investment: A Test of Catering Theory

We test a catering theory describing how stock market mispricingmight influence individual firms' investment decisions. We usediscretionary accruals as our proxy for mispricing. We finda positive relation between abnormal investment and discretionaryaccruals; that abnormal investment is more sensitive to discretionaryaccruals for firms with higher R&D intensity (opaque firms)or share turnover (firms with shorter shareholder horizons);that firms with high abnormal investment subsequently have lowstock returns; and that the larger the relative price premium,the stronger the abnormal return predictability. We show thatpatterns in abnormal returns are stronger for firms with higherR&D intensity or share turnover.     

Primacy in stock market participation: the effect of initial returns on market re-entry decisions

We examine whether initial returns influence investors’ decisions to return to the stock market following withdrawal. Using a survival analysis technique to estimate Finnish retail investors’ likelihood of stock market re-entry reveals that investors who experience lower initial returns are less likely to return, even after controlling for returns in the last month and average monthly returns for the duration of investing. This primacy effect is robust to accounting for endogeneity in investors’ exit decisions, and other behavioural biases such as recency and saliency of investment experience. Individual investors appear to be subject to primacy bias and tend to put a significant weight on initial experiences in re-entry decisions.     

JANUARY RETURN SEASONALITY IN REAL ESTATE INVESTMENT TRUSTS: INFORMATION VS. TAX-LOSS SELLING EFFECTS

We examine the January return seasonality of real estate investment trust (REIT) common stock and underlying assets. Both stock returns and the National Assocation of Realtors median home price index exhibit January seaonals. However, the median home price index explains little of the seasonal stock returns, and a significant January effect in stock returns remains for small REITs. Thus, information effects are not the likely cause of the January effect in REITs. Further analysis indicates that tax-loss selling is the more likely cause of the January effect.     

Capital expenditures and firm performance: evidence from a cross‐sectional analysis of stock returns

Using a simple two‐period model of investment, we show that there should be a nonlinear relation between a firm's investment‐to‐capital ratio and its subsequent stock returns. This prediction finds substantial empirical support. The evidence indicates that the slope of the investment function is negative at low investment levels, close to zero at intermediate investment levels and negative at high investment levels. Our results, which are robust to the use of narrowly‐ and broadly‐defined measures of capital investment, pose a challenge to the hypothesis that the negative cross‐sectional correlation between investment and stock returns is attributable to some sort of overinvestment phenomenon.     

Asset liquidity and stock returns

We document the significant predictive power of firms' asset liquidity in the cross section of subsequent stock returns. The annual return spread between portfolios featuring the highest and lowest levels of asset liquidity is significantly positive. Our proposed measure of asset liquidity outperforms those measures developed by Gopalan et al. (2012) in predicting returns. The asset liquidity anomaly also provides significantly positive alphas when controlling for the asset pricing factors in the Fama and French (1993) three-factor model and the Carhart (1997) four-factor model. Asset liquidity exhibits strong return forecasting power even after controlling for acknowledged cross-sectional determinants of return. The positive relation between asset liquidity and future returns tends to be stronger for firms with greater asset productivity, higher quality cash flow and lower capital investment.     

Accounting Ratios and the Cross‐section of Expected Stock Returns

Under clean‐surplus accounting, the log return on a stock can be decomposed into a linear function of the contemporaneous log return on equity, the contemporaneous log dividend–price ratio (if the stock pays a dividend), and both the contemporaneous and lagged values of the log book‐to‐market equity ratio. This paper studies the implications of this decomposition for the cross‐section of conditional expected stock returns. The empirical analysis reveals that the log accounting ratios capture cross‐sectional variation in both the conditional mean and conditional variance of log stock returns, which is consistent with the decomposition. It also brings fresh insights to the relation between firm size (market equity) and conditional expected stock returns. The evidence indicates that the conditional median return increases with firm size, while the conditional return skewness decreases with firm size. Empirically, the skewness effect outweighs the median effect, leading to the well‐documented inverse relation between size and average returns. The results of out‐of‐sample tests suggest that investors could use the information provided by the observed values of the log accounting ratios to formulate more effective portfolio strategies.     

Real investment and risk dynamics

We ask to what extent the negative relation between investment and average stock returns is driven by risk. We show that: (i) the average return spread between low and high asset growth and investment portfolios is largely accounted for by their spread in systematic risk, as measured by the loadings on the Chen, Roll, and Ross (1986) factors; (ii) as predicted by q-theory and real options models, systematic risk falls during large investment periods; (iii) the returns of factors formed on the investment-to-assets, asset growth, and investment growth all forecast aggregate economic activities. Our evidence suggests that risk plays an important role in explaining the investment-return relation.     

Asset Pricing and Expected Inflation

This paper provides an equilibrium model in which expected real returns on common stocks are negatively related to expected inflation and money growth. It is shown that the fall in real wealth associated with an increase in expected inflation decreases the real rate of interest and the expected real rate of return of the market portfolio. The expected real rate of return of the market portfolio falls less, for a given increase in expected inflation, when the increase in expected inflation is caused by an increase in money growth rather than by a worsening of the investment opportunity set. The model has empirical implications for the effect of a change in expected inflation on the cross-sectional distribution of asset returns and can help to understand why assets whose return covaries positively with expected inflation may have lower expected returns. The model also agrees with explanations advanced by Fama [5] and Geske and Roll [10] for the negative relation between stock returns and inflation.     

A text book treatment of calculating returns on non-traditional portfolios

This paper addresses a gap in traditional portfolio literature by providing techniques for identifying returns on non-traditional portfolios.Futures contracts require daily cash flows over the holding period; these cash flows determine the rate of return. The security deposit represents a tied investment since the funds are not available for other uses and do not earn a risk adjusted return. To initiate a short option or a short stock position also requires a cash outflow. The cash outflow or equity deposit effectively constitutes an investment since the trader postpones consumption in a risky medium that does not guarantee the return of the funds.By identifying the amount of the investment and rates of returns, it is possible to extend normative investment analysis to non-traditional portfolio holdings. This paper introduces four propositions to aid in this process.     

上市公司综合盈利水平与股票收益

本文基于2000-2017年上市公司的财务及股票交易数据,研究了上市公司综合盈利水平与股票收益之间的关系。我们使用目前资产定价文献中较新的偏最小二乘法和组合预测法,从12个衡量公司盈利能力的指标中提取了一个测度上市公司综合盈利水平的指标。研究结果显示,上市公司综合盈利水平能够显著预测未来股票收益。使用单因子偏最小二乘法、取12个月斜率的平均值构造的综合盈利水平最有效,以其构建的多空对冲投资组合能产生15%的年平均收益,夏普比率达到0.75。与此对应,组合预测法提取的上市公司综合盈利水平的预测能力稍低,但依然显著。在控制了其他公司特征变量后,综合盈利水平对于股票收益的解释能力依然稳健。本文还从经济机制的角度出发,探讨了综合盈利水平对收益的预测来源。我们发现,上市公司综合盈利水平与股票预期回报的正向关系在投资摩擦更低的组中更高,而在错误定价程度更高的组通常更低。这些结果支持了基于投资摩擦的Q理论,而与行为金融的错误定价理论相悖。