Distributions slanted to the right

We solve Problem 234 in Statistica Neerlandica by introducing the concept of slantedness. Distributions with a decreasing Lebesgue density are slanted to the right. This is no longer true for distributions on a lattice with decreasing density. Both kinds of distributions have positive central odd moments.     

贝塔系数是风险的正确度量吗

在经典的投资组合理论中 ,假设所有资产的报酬率服从对数正态分布 ,因而只需要用收益的方差来度量风险就足够了 ,忽略了偏度的影响。资产收益的分布往往不是对称的 ,偏度是客观存在的 ,而且投资者具有正偏度的爱好。所以必须用方差和偏度来共同度量投资的风险 ,在这种情况下 ,贝塔系数不再是风险的正确度量 ,采用有效的修正方法 ,可以用来对资产进行正确的定价     

Do Institutional and Individual Investors Differ in Their Preference for Financial Skewness?

Employing a unique sample of individual and institutional investors, we conduct experiments to determine investors’ preference for (or indifference to) financial skewness. We present investors with a series of stocks with varying levels of skewness. Using Instant Response Devices, we then collect investors’ choices to hold or sell each stock. Among stocks with equal expected returns, we find strong evidence that the sample investors use a prospect theory utility function rather than a mean-variance expected utility function to decide to sell or hold stocks. In the loss domain, we find that investors are ambivalent about the choice between positively and negatively skewed stocks. However, in the gain domain, we find that both individual and institutional investors prefer negatively skewed stocks—a contrast from previous research suggesting that individuals (and not institutional investors) prefer positive skewness. We also find evidence suggesting that reference points are important in financial decision making.     

Modeling Conditional Skewness in Stock Returns

Abstract

In this paper, we propose a new GARCH-in-Mean (GARCH-M) model allowing for conditional skewness. The model is based on the so-called z distribution capable of modeling skewness and kurtosis of the size typically encountered in stock return series. The need to allow for skewness can also be readily tested. The model is consistent with the volatility feedback effect in that conditional skewness is dependent on conditional variance. Compared to previously presented GARCH models allowing for conditional skewness, the model is analytically tractable, parsimonious and facilitates straightforward interpretation.Our empirical results indicate the presence of conditional skewness in the monthly postwar US stock returns. Small positive news is also found to have a smaller impact on conditional variance than no news at all. Moreover, the symmetric GARCH-M model not allowing for conditional skewness is found to systematically overpredict conditional variance and average excess returns.     

中国股市非系统风险被定价的实证研究

以Campbell模型为基础,建立预测回归方程,利用1995至2005年沪、深两市的数据,从宏观角度研究中国股票市场非系统风险对市场超额收益率的预测关系。实证结果表明,非系统风险对市场超额收益率具有显著的正预测能力;在控制流动性效应后,结果具有稳健性;非预期市场流动性对市场超额收益率具有显著的正效应,而系统风险和预期市场流动性对市场超额收益率没有预测能力。这些结果表明非系统风险被定价,同时也可以为中国股票市场机构投资者热衷集中持股现象做出理论解释。     

互联网金融特质性风险及监管政策研究

互联网金融作为金融业融合互联网衍生形成的一种新型金融模式，其具有技术 性、技术与制度二重性以及认知性等特质性风险。本文在分析互联网金融特质性风险的基础 上，对已颁布的监管政策进行梳理，揭示目前监管政策的缺陷，提出监管政策改进建议：健全 和完善互联网金融监管的规章制度；引入监管沙盒试点，紧扣“四个核心”的监管沙盒机制来 助推金融创新；从政府、企业与行业协会三方着手，构建市场准入与退出机制；加强互联网金 融消费者权益保障。     

Horse race of weekly idiosyncratic momentum strategies with respect to various risk metrics: Evidence from the Chinese stock market

This paper focuses on the horse race of weekly idiosyncratic momentum (IMOM) with respect to various idiosyncratic risk metrics. Using the A-share individual stocks in the Chinese market from January 1997 to December 2017, we first evaluate the performance of the weekly momentum based on raw returns and idiosyncratic returns, respectively. After that the univariate portfolio analysis is conducted to investigate the return predictability with respect to various idiosyncratic risk metrics. Further, we perform a comparative study on the performance of the IMOM portfolios with respect to various risk metrics. At last, we explore the possible explanations to IMOM as well as risk-based IMOM portfolios. We find that 1) there are prevailing contrarian effect and IMOM effect for the whole sample; 2) the negative relations exist between most of the idiosyncratic risk metrics and the cross-sectional stock returns, and better performance is linked to idiosyncratic volatility (IVol) and maximum drawdowns (IMDs); 3) additionally, the IVol-based and IMD-based IMOM portfolios exhibit better explanatory power to the IMOM portfolios with respect to other risk metrics; 4) finally, higher profitability of IMOM as well as IVol-based and IMD-based IMOM portfolios is found to be related to upside market states, high levels of liquidity and high levels of investor sentiment.     

Development and validation of a hospitality idiosyncratic deals scale

This study explores middle and senior hotel managers’ perceptions of their own idiosyncratic deals (i-deals) and develops a scale to measure i-deals in the Chinese hospitality industry. The study uses a mixed research method consisting of a questionnaire survey of 675 middle and senior hotel managers and in-depth interviews with 20 knowledge workers in the hotel industry in mainland China. The findings reveal that there are three types of i-deals in the Chinese hospitality industry: (1) career and incentives i-deals; (2) task i-deals; and (3) flexibility i-deals. The study proposes and validates a three-dimensional scale of hotel managers’ i-deals, thereby enriching our understanding of the idiosyncratic terms of employment in the hospitality industry.