流动性风险资产定价模型

本文对相关文献进行回顾和总结,推导出基于流动性风险的资本资产定价模型,并选取上证综合指数为代表,利用ARCH类模型对上海股市流动性风险溢价做了实证分析。     

交易所国债期限风险溢价的实证研究

本文考察了上海证券交易所国债期限风险溢价的时间变化特征及决定因素。实证结果显示，债券剩余期限越长，平均风险溢价越高；通过对不同期限债券组合的风险溢价序列建立回归模型，发现长短期利差及风险溢价的前期值对中长期债券期限风险溢价的时变性具有明显的解释能力。     

交易所国债回购利率期限结构研究

本文对上海证券交易所国债回购利率的利率期限结构进行了研究。与以往研究结果不同，本文使用GMM方法克服了国内学者在预期理论实证研究中的估计偏误。本文发现，在假定期限溢价为常数时不支持预期理论，但把时变的期限溢价引入检验模型中时、实证结果支持了预期理论。但期限溢价及即期利率价差仅能部分解释未来短期利率的变动，预测效果较差，还需要对流动性、投资者的风险偏好等可能的影响因素作进一步分析，以期提高对市场利率变化的预测精度。     

加入时变溢价的利率期限结构研究

本文在理性预期假说的基础上,利用上海银行间同业拆借利率(Shibor)长短期利率数据,对加入时变风险溢价的利率期限结构进行了实证研究,结果表明:理性预期假说可以解释我国利率市场的预测作用,风险溢价因子为常数时的利率期限结构模型不能解释实际利率数据,而加入经期限修正的风险溢价因子后,利率期限结构模型能够解释长短期利率的预期理论。     

基于面板模型的中国国债风险溢价实证研究

该研究采用面板模型实证分析了2003年12月至2008年4月上海证券交易所债券市场国债风险溢价与利率期限结构及宏观经济变量的关系。实证结果显示，上期利率期限结构曲线越陡峭，当期国债风险溢价越高；上期通货膨胀水平越高，当期国债风险溢价越高，而再延长一期滞后期，会发现滞后第二期的通货膨胀水平与当期国债风险溢价存在显著负关系；货币供应同比增速增加时，国债风险溢价水平降低。     

宏观经济变量对中国国债风险溢价影响的实证研究——基于上海证券交易所的交易数据

本文基于面板数据模型,对各主要宏观经济变量及利率期限结构对国债风险溢价的影响进行了实证研究.研究结果表明:国债利率期限结构曲线越陡峭,国债的风险溢价水平越高;通货膨胀因素对国债风险溢价水平的影响较大;规模以上工业增加值、上证综合指数月度收益率与L 债风险溢价水平存在显著负相关关系;广义货币供应量与国债风险溢价水平存在显著正相关关系;官方利率与国债风险溢价水平的关系较弱.     

资产配置的选择与优化策略研究--基于“美林投资时钟”的视角北大核心CSSCI

本文基于美林证券公司提出的大类资产配置理论,即“美林投资时钟”,从预测经济衰退入手,结合收益率曲线期限利差和风险溢价,研究资产配置的选择与优化策略:研究发现,美国10年期国债收益率与3月期国债收益率的利差组合和KCFSI指数对美国经济衰退有较好的预测效果,能够捕捉经济周期走向。在此基础上,参考美林投资时钟模式,本文利用期限利差和KCFSI组合构建金融投资时钟,对传统经济周期进行重新划分,同时以协整回归检验大类资产收益与新周期的关系,并以此构建新的资产配置策略,在新的周期划分基础上进行历史回测,得到的结果优于以往传统的投资策略。     

资产误定价影响了企业投资敏感性吗?——来自中国沪深A股上市公司的经验证据

本文基于2008~2015年中国沪深A股上市公司数据,实证检验了资产误定价对公司投资敏感性的影响。研究发现,股价高估降低了企业的投资现金流敏感性,但对投资收益敏感性的影响则呈现非线性关系,当公司面临较好的投资机会时,股价高估能提升投资收益敏感性,而当公司面临的投资机会较差时,股价高估则降低了投资收益敏感性。进一步从市场化进程的角度考察了资产误定价对投资敏感性的影响差异,发现在市场化进程高的地区,股价高估对投资现金流没有显著影响,但能够提升投资收益敏感性;而在市场化进程低的地区,股价高估降低了投资现金流敏感性,但对公司的投资收益敏感性的影响不显著。     

投资期限与居民家庭股票市场参与——基于微观调查数据的实证分析北大核心CSSCISSCI

经典生命周期投资组合文献假定所有投资者的投资都是持续一生的,因此用投资者的年龄简单替代投资期限,但投资者实际投资期限与理论假定相去甚远。本文基于中国居民微观调查数据实证研究发现,投资者的年龄不能替代投资期限,投资期限的缩短可能主要是因为投资者承担背景风险。背景风险既是影响居民家庭投资期限的主要原因,也显著影响居民家庭对股票市场的参与。研究结果表明,如果要引导中国家庭投资者更多地投资于以股票为代表的风险资产,需要降低投资者的背景风险并延长投资期限。     

股市系统流动性风险溢价与资产定价——基于沪深股市的动态实证研究

流动性与资产定价是当前金融领域研究的热点之一,研究流动性与资产定价以及流动性风险与资产定价的关系是当前国内研究资产定价的主要内容。本文将通过沪深股市的实证数据研究中国股票市场系统流动性风险溢价的问题。针对流动性溢价问题,本文将基于沪深股市数据,结合我国证券市场特征,按照Gibson和Mougeot的基本框架,直接建立二元均值GARCH——Diagonal BEKK模型,对我国股票市场的系统流动性风险溢价动态进行实证研究。通过研究,本文得出结论:中国股票市场存在系统流动性风险溢价,但随着样本期的选取、样本的选取以及不同流动性指标的选取的不同,其显著性是也不同的,系统流动性风险溢价对对市场的超额收益是有影响的,而且这种影响是动态波动的,从长期看,这种波动持续性的存在会使投资者未来投资的不确定性增加。     

Do Beta Pricing Models Explain January Mean Reversion in Stock Returns?

Jegadeesh (1991) finds evidence of January mean reversion in stock returns. In this paper we attempt to distinguish between two competing economic explanations of January mean reversion in returns: (1) mispricing in irrational markets versus (2) predictable time variation in security risk premia. Excess portfolio returns are decomposed into “explained” and “unexplained” components using the Fama-French (1993) pricing model. The explained excess returns exhibit January mean reversion. The unexplained excess returns are not mean reverting. Mean reversion is therefore consistent with rational pricing in the framework of the Fama-French model. Mean reversion can be attributed to the component of return related to a relative distress factor (SMB). A comparison with the Chen, Roll, and Ross (1986) macroeconomic factors reveals that mean reversion is due to the components related to SMB and bond default premium.     

New Evidence on Risk Factors, Characteristics and the Cross-Sectional Variation of Japanese Stock Returns

This paper examines whether the cross-sectional variations in stock returns are better described by systematic risk factors or by firm characteristics such as book-to-market ratios and market capitalization. It provides new evidence from the Japanese stock market based on the recent sample period from 2002 to 2007, which is not addressed in the existing literature. Also, the new results are derived from the generalized method of moments applied to daily returns. The evidence suggests that both the firm size and book-to-market ratio are significantly related to average return premiums. There is mixed evidence, which tends to lend stronger support to the characteristic model rather than the Fama-French three-factor model as more reflective of the return dynamics in the Japanese stock market.     

Local risk factors in emerging markets: Are they separately priced?

We provide new evidence on the pricing of local risk factors in emerging stock markets. We investigate whether there is a significant local currency premium together with a domestic market risk premium in equity returns within a partial integration asset pricing model. Given previous evidence on currency risk, we conduct empirical tests in a conditional setting with time-varying prices of risk. Our main results support the hypothesis of a significant exchange risk premium related to the local currency risk. Exchange rate and domestic market risks are priced separately for our sample of seven emerging markets. The empirical evidence also suggests that although statistically significant, local currency risk is on average smaller than domestic market risk but it increases substantially during crises periods, when it can be almost as large as market risk. Disentangling these two factors is thus important in tests of international asset pricing for emerging markets.     

Rare disaster risk and the expected equity risk premium

Consistent with the predictions of rare disaster models, we find that a proxy for the time‐varying probability of rare disasters helps to explain fluctuations in expectations of the equity risk premium. Our proxy for disaster risk is a recently developed measure of global political instability, and the expected market risk premium is from Value Line analysts' expected stock returns. Consistent with long‐run risk models, uncertainty about expected GDP growth and expected consumption growth is also significantly positively related to the expected market risk premium. We obtain similar results when we use the earnings–price ratio and the dividend–price ratio as proxies for the expected market risk premium.     

Do Newly Listed Derivatives Affect the Market Risk Premium in a Thin Stock Market?

This study examines the effects on the stock market unitary risk premium and volatility associated with the listing of stock and stock index derivatives in Switzerland. Based on a univariate GARCH (1,1) specification of the stock index variance and a time-varying unitary risk premium representation, we can reject the hypothesis that stock and stock index derivatives listings do not affect the total risk premium. Contrarily to previous empirical evidence, we find that derivatives listings affect both the conditional market returns' variance and the unitary risk premium through structural shocks. The gradual market completion hypothesis is further corroborated in that, cumulatively, the three stock and stock index options futures derivatives listings reduced the unitary risk premium while the marginal impact of each successive listing decayed.     

Do Newly Listed Derivatives Affect the Market Risk Premium in a Thin Stock Market?

This study examines the effects on the stock market unitaryrisk premium and volatility associated with the listing of stockand stock index derivatives in Switzerland. Based on a univariateGARCH (1,1) specification of the stock index variance and atime-varying unitary risk premium representation, we can rejectthe hypothesis that stock and stock index derivatives listingsdo not affect the total risk premium. Contrarily to previousempirical evidence, we find that derivatives listings affectboth the conditional market returns’ variance and theunitary risk premium through structural shocks. The gradualmarket completion hypothesis is further corroborated in that,cumulatively, the three stock and stock index options futuresderivatives listings reduced the unitary risk premium whilethe marginal impact of each successive listing decayed. JELClassification: G12, G14.     

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.     

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。     

On the test of the correction mechanism for mis-pricing between assets using a statistical yield spread model

This paper investigates the existence of a correction mechanism for mis-pricing between Japanese stock and bond. By this correction mechanism we mean that when deviations occur from the equilibrium levels of the expected return differentials between stock and bond — the risk premium differentials, the market will tend to correct the mis-pricing and bring the expected return differentials back to the equilibrium levels. We assume that the yield spread between the predicted earnings price ratio of stock and the yield to maturity of bond reflects the risk premium between stock and bond, and estimate the equilibrium risk premium differentials and mis-prices between stock and bond by modelling their behaviors with a statistical yield spread model (SYS). Empirical results strongly indicate the existence of the mis-pricing correction mechanism, suggesting the inefficiency of securities markets.     

Productivity-based asset pricing: Theory and evidence

In a general real business cycle model, we derive a pricing kernel that involves only production function arguments. The productivity shock is the single factor and the capital stock relative to a productivity measure is the conditioning variable. The model compares favorably with the complementary consumption-based and market-based approaches and with the Fama-French three-factor model. A size premium arises from differences in unconditional sensitivities—small firms are more sensitive to productivity shocks—and a value premium from differences in conditional sensitivities to productivity shocks—growth firms are more sensitive to productivity shocks when the productivity risk premium is low.