Beware of the crash risk: Tail beta and the cross-section of stock returns in China

We investigate the pricing of systematic tail risk measured by tail beta in the Chinese equity market. Using an array of tests, we examine the performance of more than 3,300 stocks for the years 1999 through 2018. Contrary to evidence from developed markets, we demonstrate a strong negative relationship between the tail beta and future returns. The effect is robust to many considerations and cannot be explained by established pricing factors or alternative risk or illiquidity measures. We link our findings to specific characteristics of the Chinese stock market.     

Does illiquidity matter in residential properties?

No, it does not, despite the general perception that illiquidity matters in real estate. As expected, our evidence shows that the illiquidity costs for the U.S. residential properties are large. The costs are equivalent to 12% of the total property returns on average, ranging from 9.5% to 29.5% of property prices depending on the illiquidity level and market conditions. However, when amortized by holding periods, monthly illiquidity costs are on average 0.08%, and illiquidity risk does not appear to be priced in residential properties; illiquid properties do not show higher returns than liquid properties. On the contrary, we find evidence of flight-to-quality in bull markets, that is, high-quality illiquid properties are preferred to low-quality liquid properties in buoyant markets. These results are in sharp contrast with those in equities and bonds where flight-to-liquidity has been reported when markets are in stress.     

Empirical tests on the asset pricing model with liquidity risk: An unobserved components approach

The aim of this paper is to test empirically the conditional liquidity-adjusted capital asset pricing model (L-CAPM) developed by Acharya and Pedersen (2005). Accordingly, we propose to estimate the L-CAPM using unobserved components methodology, which allows us to take into account the main stylized facts characterizing liquidity. Based on a sample of firms listed on the NASDAQ, our empirical analysis reveals several findings. Firstly, we show that liquidity is time-varying and exhibits strong seasonality. Secondly, we highlight the impact of the liquidity level premium on asset prices. Thirdly, we show that the most important liquidity risk is related to the covariance between portfolio illiquidity and market returns. Fourthly, we observe a negative relationship between portfolio returns and market illiquidity. Fifthly, we find that liquidity risk and illiquidity level are not always positively correlated.     

The winner-loser anomaly: recent evidence from Greece

This article finds evidence of significant reversals in returns over the medium term in Greek stocks. In contrast with previous research, return reversals are more pronounced for past winners, suggesting that the market overreacts to a greater extent to good news. These contrarian returns are particularly elevated when portfolios are formed using quartiles and during tranquil and bull markets. The optimum contrarian strategy involves skipping the first 6 months of the holding period and implementing the contrarian strategy for a period of 18 months, as returns exhibit continuation followed by reversal. The profitability of the contrarian investment strategy is robust to adjustments for risk and seasonalities. It is the tranquil times and not the crisis/volatile times that generates a significant and profitable contrarian strategy. The recent credit crisis and resulting stock market falls, resulted in extreme movements in some Greek stocks and testing of the contrarian strategy problematic, especially when portfolios are decile ordered. Our findings also highlight the importance of survivorship bias and also suggest that contrarian strategies that just use market beta may be ill-equipped to take into consider extreme market movements, illiquidity and short-sales constraints.     

Idiosyncratic volatility and the cross-section of anomaly returns: is risk your Ally?

Due to arbitrage risk asymmetries, the relationship between idiosyncratic risk and expected returns is positive (negative) among overpriced (underpriced) stocks. We offer a new active anomaly-selection strategy that capitalizes on this effect. To this end, we consider 11 equity anomalies in the U.S. market for years 1963–2016. Buying (selling) long (short) legs of the anomaly portfolios with the highest idiosyncratic volatility produces monthly abnormal returns ranging from 0.97% to 1.14% per month, outperforming a naive benchmark that equally weights all the anomalies by 45–70%. The effect cannot be subsumed by any other established anomaly-return predictor, such as momentum or seasonality. The results are robust to many considerations, including different numbers of anomalies in the portfolios, subperiod analysis, as well as estimation of idiosyncratic risk from the alternative models and throughout different periods.     

R&D, patents and stock return volatility

Recent finance literature highlights the role of technological change in increasing firm specific (idiosyncratic) and aggregate stock return volatility, yet innovation data is not used in these analyses, leaving the direct relationship between innovation and stock return volatility untested. The paper investigates the relationship between volatility and innovation using firm level patent data. The analysis builds on the empirical work by Mazzucato (Rev Econ Dyn 5:318–345, 2002; J Evol Econ 13(5):491–512, 2003) where it is found that stock return volatility is highest during periods in the industry life-cycle when innovation is the most ‘radical’. In this paper we ask whether firms which invest more in innovation (more R&D and more patents) and/or which have more important innovations (patents with more citations) experience more volatility in their returns. Given that returns should in theory be higher, on average, for higher risk stocks, we also look at the effect of innovation on the level of returns. To take into account the competition between firms within industries, firm returns and volatility are measured relative to the industry average. We focus the analysis on firms in the pharmaceutical industry between 1974 and 1999. Results suggest that there is a positive and significant relationship between volatility, R&D intensity and the various patent related measures—especially when the innovation measures are filtered to distinguish the very innovative firms from the less innovate ones.     

Time-varying comovement and changes of comovement structure in the Chinese stock market: A causal network method

The driving force for the comovement in stock returns is a long-standing debate between classical asset pricing theory and behavioral finance theory. It has become critically important recently for understanding systemic risk and risk contagion in the market. In this study, we propose complex networks enabled new methods to measure the causal comovement of individual stocks and the comovement structure of the market, which facilitate the examination of all kinds of hypotheses of comovement theories in a unified framework. Using a sample of the Chinese stock market from Jan. 1, 2006 to Dec. 31, 2016, we find that the degree of comovement generally intensifies over time, with a drastic increase from 2011 to 2015, while the comovement structure of the market changes with different market situations. Most importantly, our study reveals the driving force of causal comovement among individual stocks; that is, sentiment-based factors related to the market index indeed induce excess causal comovement in returns beyond that can be justified by fundamental factors including beta coefficient, book-to-market ratio, liquidity, profitability and volatility. Our study also reveals the determinants of comovement structure, which are attributable to the change of investors' behaviors in different periods. It turns out that investors in the Chinese stock market care about risk-return relationship in normal periods, while they seem to care only about risk in crisis periods.     

Local and global illiquidity effects in the Balkans frontier markets

We study market illiquidity across 11 national markets of the Balkans. In general, the EU member countries are more liquid than the nonmember countries. Turkey, however, has the most liquid market, while Serbia and Bosnia are the least liquid. Global illiquidity sourced from the US has a strong and positive impact on pricing in eight of the Balkans markets. In contrast, illiquidity transmitted from the EU impacts expected returns in only two instances, while local illiquidity is significant for just one market. Croatia and Slovenia are most susceptible to transmissions of regional illiquidity, each receiving illiquidity spillovers from four sources.     

Momentum meets value investing in a small European market

In this paper, we investigate two prominent market anomalies documented in the finance literature – the momentum effect and value-growth effect. We conduct an out-of-sample test to the link between these two anomalies recurring to a sample of Portuguese stocks during the period 1988–2015. We find that the momentum of value and growth stocks is significantly different: growth stocks exhibit a much larger momentum than value stocks. A combined value and momentum strategy can generate statistically significant excess annual returns of 10.8%. These findings persist across several holding periods up to a year. Moreover, we show that macroeconomic variables fail to explain value and momentum of individual and combined returns. Collectively, our results contradict market efficiency at the weak form and pose a challenge to existing asset pricing theories.     

Fancy Bitcoin and conventional financial assets: Measuring market integration based on connectedness networks

We investigate the relationship between Bitcoin and conventional financial assets from a perspective on the connectedness of asset networks. We adopt the method of measuring connectedness proposed by Diebold and Yilmaz (2009, 2012, and 2014) in a VAR system to study the dynamic interdependence between returns in Bitcoin, stocks, oil, and gold. We find that the connectedness between bitcoin and conventional assets is weak. The separation of positive and negative returns in the Bitcoin market shows the existence of an asymmetric pattern of the spillover effects between Bitcoin and conventional assets. A rolling window analysis finds that although Bitcoin prices experience a rising link to other financial assets, the magnitude is proven to be moderate. However, connectedness via negative returns is much stronger than via positive ones and exhibits a clearly increasing trend in recent periods. Our results in application are generally robust to other popular cryptocurrencies, such as ETH and Ripple. The findings presented in this paper have important implications for financial market participants, policymakers, and researchers in light of projected increases in the adoption of Bitcoin, as well as the rapid development of cryptocurrency.     

中国股市价值反转投资策略有效性实证研究

本文以中国深沪A股股票市场为考察对象 ,分析了价值反转投资策略的有效性。作者通过实证分析发现 :在中国深沪A股股票市场上 ,以帐面价值与市场价值比 (B M)、B M GS等指标构造的价值反转投资策略可以产生显著的超额收益率 ,并且其显著程度因持有期不同而不同。接着 ,作者利用CAPM模型、Fama French三因素模型并引入了协偏度 (coskewness)和协峰度 (cokurtosis) ,构造出多风险因子模型来解释价值反转投资策略超额收益率。我们发现 :在经过传统风险因素调整后 ,价值反转投资策略效果依然明显 ;CAPM模型无法解释价值反转投资策略超额收益率 ;Fama French三因素模型对价值反转投资策略超额收益率的解释能力最为显著 ,但对于有些价值投资策略 ,在Fama French三因素基础上加上协偏度和协峰度因子后 ,模型的解释能力有所提高     

MEASURES OF STOCK MARKET VALUE AND RETURNS FOR THE U.S. NONFINANCIAL CORPORATE SECTOR, 1900–2002

This paper describes a new dataset of annual time series relating to the U.S. nonfinancial corporate sector: its market value, returns, and the major underlying stocks and flows that are valued by financial markets. The data cover the entire twentieth century, and thus fill a significant gap in the documentation of financial and real economy linkages. Previously available data cover either shorter periods, or a more restricted sample of quoted companies. A range of series are constructed on a consistent basis: returns; dividend yields (including an alternative "cashflow" measure); earnings; and " q ", on a range of definitions; as well as corporate leverage measures. The main features are: the relative long-run stability of both q and the cashflow dividend yield; the systematic tendency for q to be less than unity; and the ambiguous picture presented by alternative measures of corporate leverage.     

A reliable performance measure to differentiate China’s actively managed open-end equity mutual funds

We compare different fund performance measures to examine which performance measures can generate risk-adjusted returns between high ranked and low ranked China’s actively managed open-end equity mutual funds. Our results show that only the six-factor (five factors (market, size, b/m, profitability & Investment facotrs) plus a momentum factor) alpha as the performance measure meets the criteria. Separated by the six-factor alpha, better performing funds have a larger asset under management, a better past 6-month cumulative return, a better stock picking ability, and a higher percentage of hybrid funds. Through our sample period from July 2004 to December 2015, the highest ranked quintile funds generate a monthly risk-adjusted return of 0.24% more than the lowest ranked quintile funds and the six-factor alpha reliably selects a better fund portfolio in both bear and bull markets on the basis of both fund return and holding data. Furthermore, our results from fund trading data show that funds with the highest six-factor alpha rank demonstrate a better trading skill in bear markets, suggesting that those better performing funds exhibit their market timing and stock picking abilities when investors need them most.     

Cross-sectional and time-series momentum returns: are Islamic stocks different?

We search for differences in both unconditional and conditional momentum returns of Islamic and Non-Islamic stocks and test implications of competing behavioural theories that aim to explain momentum returns. Our results show that there is no significant difference in momentum returns between Islamic versus Non-Islamic stocks with respect to both cross-sectional (CS) and time-series (TS) momentum strategies even when we condition momentum returns on market dynamics, information uncertainty and idiosyncratic volatility. We also find that the TS strategy outperforms (underperforms) the CS strategy in market continuations (transitions) consistent with the recent evidence in the U.S. market.

Furthermore, we find that CS and TS strategies of both Islamic and Non-Islamic stocks are profitable only when the market continues in the same state consistent with overconfidence driving momentum returns of both Islamic and Non-Islamic stocks.     

Riding the Wave of Sentiment: An Analysis of Return Consistency as a Predictor of Future Returns

This article analyzes the degree to which return consistency in the past predicts future returns. I show that consistency is a strong predictive measure for future stock returns. In a portfolio context, positively consistent stocks exhibit positive future risk-adjusted returns, and negatively consistent stocks exhibit negative future risk-adjusted returns. The results are economically and statistically significant over multiple subperiods. Also, odd return behavior persists for nearly two years after portfolio formation. Stocks that have been consistently positive (negative) for longer time horizons have higher (lower) risk-adjusted returns during the followingmonththan those thathavebeenconsistent for shorter time periods. Finally, high consistency enhances momentum when the two factors are allowed to interact. Thus, there appears to be strong path dependence in the momentum effect, and consistency in stock returns appears to be an important component of return predictability.     

When Do Opening Stock Returns Tend to be Higher?

Abstract

In this study, I make an effort to formulate a trading rule that would make use of some systematic interday patterns in individual stocks’ opening returns. I analyze intraday price data on all the stocks that were S&P 500 Index constituents during the period from 1993 to 2012. I document that if the general market direction of the previous day's opening session is controlled for, then a stock's opening return tends to be higher if, on the previous trading day, its opening return was relatively high (either positive, or higher than the same day's opening market return) and its open-to-close return was relatively low (either non-positive, or lower than or equal to the same day's open-to-close market return). Finally, for the sampling period, I construct two different investment portfolios involving a long position in the stocks on the days when, according to the findings, their opening returns are expected to be high and a short position in the stocks on the days when, according to the findings, their opening returns are expected to be low. Both portfolios are found to yield significantly positive returns, providing evidence for the practical applicability of the documented patterns in opening stock prices.     

Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

We use regular vine (r-vine), canonical vine (c-vine) and drawable vine (d-vine) copulas to examine the dependence risk characteristics of three 20-stock portfolios from the retail, manufacturing and gold-mining equity sectors of the Australian market in periods before, during and after the 2008–2009 global financial crisis (GFC). Our results indicate that the retail portfolio is less risky than the manufacturing counterpart in the crisis period, while the gold-mining portfolio is less risky than both the retail and manufacturing sector portfolios. Both the retail and gold stocks display a higher propensity to yield positively skewed returns in the crisis periods, contrary to the manufacturing stocks. The r-vine is found to best capture the multivariate dependence structure of the stocks in the retail and gold-mining portfolios, while the d-vine does it for the manufacturing stock portfolio. These findings could be used to develop dependence risk- and investment risk-adjusted strategies for investment, rebalancing and hedging which more adequately account for the downside risk in various market conditions.     

Information asymmetry,cluster trading,and market efficiency: Evidence from the Chinese stock market

This study investigates the effect of asymmetry information and illiquidity related to cluster trading on information integration efficiency in the Chinese stock market. The results show that information asymmetry and illiquidity related to cluster trading both negatively affect market efficiency in the Chinese stock market. While the effect of information asymmetry on market efficiency dominates in the informational period, the effect of illiquidity related to cluster trading dominates in other periods, when trading is less concentrated. Noise trading has a positive effect on market efficiency by greatly reducing the illiquidity related to cluster trading; however, its effect on information asymmetry is not significant. Our results provide insight into investors’ trading strategies.     

An analysis of commercial bank common stock returns: 1802–97

This study creates analyses for the first time a continous index of returns on commercial bank common stocks listed in a specific market. The index is constructed from a unique set of historical data and is calculated on both a weighted and unweighted basis, first including and then excluding dividends. A measure of volatility is calculated annually.

The results indicate that the dividend component of holding period returns is very important. Including dividends, average returns were 6.0% for the century; excluding dividends, average returns were 0.1%. Excess returns were calculated using two different measures of a riskless rate of return. Cumulative excess returns for the first half of the nineteenth century were negative. Real returns were calculated, and found to be generally positive over the century. The volatility of returns was quite high during certain periods.

Examining the effects of significant economic and political events on bank common stock returns, we find that the War of 1812, the Civil War, and the National Banking System had a significant impact on bank stock returns. Several economic panics, several depressions, the First and Second Banks of the United States, the Embargo of 1807, and the Suffolk Bank had no measureable impact.     

Does microtherm boost pharmaceutical companies’ market capitalization returns?

The purpose of this study was to survey the relationship between the temperature factors and market capitalization returns of pharmaceutical companies by analysing both the daily and weekly frequency data in Taiwan. The threshold regression model with the GJR-GARCH process was applied for examination in this study; we found that pharmaceutical companies’ market capitalization returns could be boosted after exposure to extremely low temperatures for a period of time. Besides, the delayed effect of cold weather is demonstrated to exist. This phenomenon can be illustrated by epidemiological evidence-related mental factors, not by traditional behavioural finance. Moreover, lower weekly average temperatures are beneficial for investors to gain weekly pharmaceutical companies’ market capitalization returns. We are of the opinion that our findings offer an insightful suggestion for investors to buy pharmaceutical stocks at an opportune moment.