The Breakdown of Idiosyncratic Volatility Into Expected and Unexpected Components and Its Effects on Stock Returns in Brazil

Based on studies of idiosyncratic volatility developed in the recent literature, this study analyzes its relation with expected returns through the breakdown of idiosyncratic volatility in the Brazilian stock market and presents evidence of the importance of expected idiosyncratic volatility for asset pricing. We study the impact of the expected and unexpected components of idiosyncratic volatility on the returns of shares listed on the BOVESPA between 2004 and 2011. The results show a strong positive and significant relation between expected idiosyncratic volatility and returns. This evidence is highlighted when we use unexpected idiosyncratic volatility to control for unexpected returns. Additional robustness tests, controlling for size and momentum effects, also have positive and significant coefficients, corroborating previous findings.     

Normal backwardation is normal

Traditionally, constant expected return asset pricing models are used to assess the presence of a futures risk premium and the validity of the normal backwardation theory. In the light of recent evidence regarding the presence of time variation in expected futures returns, such an approach may lead to incorrect inferences on the applicability of the Keynesian hypothesis. This article therefore allows for variation through time in expected futures returns and offers some strong evidence in favor of the normal backwardation and contango theories. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:803–821, 2000     

Market Excess Returns,Variance and the Third Cumulant

In this paper, we develop an equilibrium asset pricing model for market excess returns, variance and the third cumulant by using a jump‐diffusion process with stochastic variance and jump intensity in Cox et al. (1985) production economy. Empirical evidence with the S&P 500 index and options from January, 1996 to December, 2005 strongly supports our model prediction that the lower the third cumulant, the higher the market excess returns. Consistent with existing literature, the theoretical mean–variance relation is supported only by regressions on risk‐neutral variance. We further demonstrate empirically that the third cumulant explains significantly the variance risk premium.     

Disentangling Beta and Value Premium Using Macroeconomic Risk Factors

In this paper, we study the time-varying total risk of value and growth stocks. The objective is to investigate the contention that the market factor's ability to explain the value premium is limited. Inspired by Ferson and Harvey [1999], we revisit the role of the market beta in the presence of aggregate economic factors. We discuss the incorporation of aggregate economic conditions in the context of multifactor risk models and provide cross-sectional evidence on the relationship between average returns and postranking betas for book-to-market (BE/ME) sorted portfolios. We show that the ineffective role of the market beta can be altered by incorporating aggregate economic risk factors in the cross-sectional asset pricing tests of size and BE/ME sorted portfolios. No previous study provides such a decomposition of the cross-sectional role of the market beta in the presence of macroeconomic risk factors.     

Is there an illiquidity premium in frontier markets?

We perform a comprehensive examination of the role of stock-level liquidity in the cross-section of frontier market stock returns. Using several popular liquidity measures and a battery of asset pricing tests, we investigate the illiquidity premium in 22 countries for the years 1991–2019. Contrary to typical relationships in developed and emerging markets, we find no evidence of illiquidity premium in frontier equities. Our findings support the hypothesis that for countries not fully integrated with the global economy, the diversification benefits offset the illiquidity, which, in turn, proves less important.     

Exchange risk premia and firm characteristics

This paper examines the presence and the determinants of exchange risk premia in stock returns using firm level data from South Korea. We conduct empirical asset pricing tests based on cross-sectional data sorted by firm characteristics such as firm size, liquidity, foreign ownership, and industry. Using alternative model specifications and exchange rate measures, our results support the hypothesis of a significant unconditional exchange risk premium in the Korean stock market at firm and industry levels. More specifically, we find that the exchange risk premium is directly related to firm liquidity and inversely related to firm size and foreign ownership.     

Are the East Asian markets integrated? Evidence from the ICAPM

We test a conditional international asset pricing model with both world market and domestic risk included as independent pricing factors for five East Asian markets, the US and World markets. We model second moments and risk exposures using a bi-diagonal multivariate GARCH(1,1) process. We document that this novel GARCH specification provides a significantly better fit of the return process than a standard diagonal specification. Although exposure to world market risk carries a significant premium across all markets, we find little support for the hypothesis that exposure to residual country risk is rewarded. However, residual country returns are significantly related to exchange rate changes. Hence, we find surprisingly little evidence of market segmentation in East Asia over the period 1985–1998.     

Flight-to-liquidity: Evidence from China's stock market

In an order-driven and strictly regulated stock market, illiquidity risks' effects on asset pricing should be highlighted, particularly in such extreme market conditions as those in China. This paper utilizes panel data from China's stock market in an attempt to answer whether the illiquidity risk in various dimensions—including price impacts, the transaction speed, trading volume, transaction costs, and asymmetric information—can explain stock returns. We find that almost all dimensions of stock illiquidity are positively associated with excess stock returns. More importantly, smaller, less-liquid stocks suffer more liquidity costs, providing a strong evidence for “flight-to-liquidity.” Additionally, the transaction costs and asymmetric information, denoted by bid-ask spreads, robustly account for these illiquidity effects on stock pricing and differ from the findings in the U.S. market. We also find that the “flight-to-liquidity” can partially explain the idiosyncratic volatility puzzle, investors' gambling, and herding psychologies. This study provides substantial policy implications in regulation and portfolio management for emerging markets.     

Media Corruption: A Chinese Characteristic

The core goal of this study is to empirically investigate whether there is a “world price” of corporate sustainability. This is assessed in the context of standard asset pricing models—in particular, by asking whether a risk premium attaches to a sustainability factor after controlling for the Fama–French factors. Both time-series and cross-sectional tests are formulated and applied. The results show that (1) global Fama–French factors have strong power to explain global equity returns and (2) sustainability investments have no significant impact on global equity returns. The absence of a significant relationship between sustainability and returns implies that large institutional investors are free to implement sustainability mandates without fear of breaching their fiduciary duties from realising negative returns due to incorporating a sustainability investment process.     

International asset pricing with time-varying risk premia

Recent empirical evidence that forward exchange rates are biased predictors of future spot rates can also be interpreted as evidence against the hypothesis of a constant risk premium. Consequently, reconciliation of this evidence with efficient international capital markets requires the existence of time-varying risk premia. This paper modifies Kouri's (1977) asset pricing model to allow time-varying exected returns on assets, eliminates the assumption of a risk-free real asset and derives the characteristics of the risk premia in the forward market as well as the equilibrium yield relationships among the equities and riskless nominal bonds of all countries.     

An examination of predictable risk and return in UK stock returns

This paper examines whether conditional asset pricing models can explain the predictability in UK stock returns using the frameworks of Ferson and Harvey (1999) and Kirby (1998). The paper finds that the domestic Arbitrage Pricing Theory model is able to explain most of the observed time-series predictability in stock returns and tends to perform better than the domestic CAPM in explaining the predictability generated by the predictive instruments. The paper also finds that domestic asset pricing models tends to capture more of the time-series predictability in UK stock returns than international models. However none of the models are able to explain all of the predictability in returns.     

The Hong Kong Equity Market and an Institutional Framework for Asset Pricing

Given the potential implications of market structure for asset pricing, this paper examines the structural and institutional features of the Hong Kong equity market and their relevance to explaining market behaviour. It was found that the Hong Kong market appears less perfect and hence less efficient than their counterparts in the more developed economies, such as the USA and the UK, so that market disequilibrium and asset mispricing might have occurred. This paper adds value to the literature as the findings provide an institutional framework for analysing and explaining the results from empirical asset pricing work, past and future, on the Hong Kong market. This has far-reaching implications for financial decisions.     

我国股票资产价格与通货膨胀关系的研究

货币政策是否应该干预股票资产价格的波动,这是一个广受关注且富有争议的问题.这一问题的关键因素在于正确判断通货膨胀与股票资产价格的关联性.目前,股票收益率与通货膨胀之间存在四种相关关系,即正相关、负相关、不确定以及不相关.我国的资本市场成立较晚,研究股票收益率与通胀率之间关系的成果非常少.所以从我国沪深两市股指与通货膨胀走势、沪深两市股指波动区间、波动频率与通货膨胀间的关系,以及我国沪深两市股票市盈率与通货膨胀关系描述等三方面来揭示股票资产定价与通货膨胀间的关系,为全面认识我国证券市场与通胀间的关系提供实事依据.     

Financial market liberalization and the pricing of idiosyncratic risk

We test the impact of idiosyncratic risk on stock returns for emerging markets that experience financial market liberalizations. Idiosyncratic risk is positively associated with returns prior to financial market liberalization, but liberalization diminishes this effect. Moreover, prior to liberalization, the number (concentration) of stocks available in the market is negatively (positively) correlated with the pricing of idiosyncratic risk. The decrease in the pricing of idiosyncratic risk can explain the reduction in the cost of capital around liberalizations. Additionally, the change in the pricing of idiosyncratic risk may be a useful measure of the success of financial market liberalization.     

Market Timing With Moving Averages

I present evidence that a moving average (MA) trading strategy has a greater average return and skewness as well as a lower variance compared to buying and holding the underlying asset using monthly returns of value‐weighted US decile portfolios sorted by market size, book‐to‐market, and momentum, and seven international markets as well as 18,000 individual US stocks. The MA strategy generates risk‐adjusted returns of 3–7% per year after transaction costs. The performance of the MA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at‐the‐money protective put on the underlying buy‐and‐hold return. Conditional factor models with macroeconomic variables, especially the default premium, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the MA strategy.     

Asymmetric Correlations in Predicting Portfolio Returns*

Rigorous statistical tests have been designed to detect the existence of asymmetric correlations. However, these tests can hardly further facilitate future investment or risk management because asymmetric correlations are time‐varying and difficult to predict. In this paper, we construct a unified state‐space model, which not only measures in‐sample asymmetric correlations, but also exploit out‐of‐sample asymmetric correlations in the context of predicting portfolio returns. First, we regard time‐varying correlation between market returns and portfolio returns as a state variable and model it as an AR(1) process. Then, we measure future asymmetric correlations based on correlation coefficients between two unpredictable components in market returns and correlation, respectively. Third, we clarify the intuition, calculate asymmetric correlations for two portfolio sets and estimate the economic value of applying our model in asset allocation. Finally, we try to search for potential variables that can explain future asymmetric correlations. The results show that market‐wide liquidity, variance, earning price ratio, and investor sentiment can partially explain the asymmetry correlation phenomenon.     

Dispersion in Analysts’ Earnings Forecasts and Market Efficiency

Recent studies show that firms with higher analysts’ earnings forecasts dispersion subsequently have lower returns than firms with lower forecasts dispersion. This paper evaluates alternative explanations for the dispersion–return relation using a stochastic dominance approach. We aim to discriminate between the hypothesis that some asset pricing models can explain the puzzling negative relation between dispersion and stock returns, and the alternative hypothesis that the dispersion effect is mainly driven by investor irrationality and thus is an evidence of a failure of efficient markets. We find that low dispersion stocks dominate high dispersion stocks by second‐ and third‐order stochastic dominance over the period from 1976 to 2012. Our results imply that any investor who is risk‐averse and prefers positive skewness would unambiguously prefer low dispersion stocks to high dispersion stocks. We conclude that the dispersion effect is more likely evidence of market inefficiency, rather than a result of omitted risk factors.     

多因素资产定价模型的实证研究

以上海股市417家A股股票为样本,以2000年2月18日至2001年6月8日的周收益率为样本数据,研究股票组合收益与各种因素之间的关系,建立9个单因素模型和6个四因素模型。结果发现:6种风险度量指标对股票组合收益率的解释能力十分微弱,而平均流通市值的自然对数和平均短期(1年)历史收益率对股票组合收益率的解释能力达到76.2％。因此,在上海A股市场,CAPM失去了有效性,资产定价可以由多因素模型决定。     

The Pricing Kernel Puzzle: A Real Phenomenon or a Statistical Artifact?

A large literature finds evidence that the pricing kernels estimated from option prices and historical returns are not monotonically decreasing in market returns. We show that the inevitable coalescence of contingencies, especially in the left‐tail, associated with estimating a distribution function may give rise to a nonmonotonic empirical pricing kernel even if the actual pricing kernel is monotonic. Hence, the observed nonmonotonicity of pricing kernels may be a statistical artifact rather than a real phenomenon. We argue that empirical work should explicitly correct for this effect by widening the option pricing bounds associated with monotonic pricing kernels.     

Asset Pricing and Momentum: A South African Perspective

Both the capital asset pricing model and Fama and French’s (1993) three-factor model have consistently failed to explain momentum in stock returns, with only Carhart’s (1997) four-factor model having some success in this regard. This study examines whether an alternative three-factor model proposed by Chen, Novy-Marx, and Zhang (2011) and a five-factor model forwarded by Fama and French (2015), which both include profitability and investment as pricing factors, can explain momentum on the South African market. Consistent with international evidence, the pricing errors from these two models are lower and although these errors remain significant, the results reveal that profitability and, to a lesser extent, investment are important risk-based factors that must be considered in explaining the short-term continuation in stock returns.