Risk spillover between Bitcoin and conventional financial markets: An expectile-based approach

In order to challenge the existing literature that points to the detachment of Bitcoin from the global financial system, we use daily data from August 17, 2011–February 14, 2020 and apply a risk spillover approach based on expectiles. Results show reasonable evidence to imply the existence of downside risk spillover between Bitcoin and four assets (equities, bonds, currencies, and commodities), which seems to be time dependent. Our main findings have implications for participants in both the Bitcoin and traditional financial markets for the sake of asset allocation, and risk management. For policy makers, the findings suggest that Bitcoin should be monitored carefully for the sake of financial stability.     

Unbiased estimation of expected return using CAPM

Estimation of expected return is required for many financial decisions. For example, an estimate for cost of capital is required for capital budgeting and cost of equity estimates are needed for performance evaluation based on measures such as EVA. Estimates for expected return are often based on the Capital Asset Pricing Model (CAPM), which states that expected excess return (expected return minus the risk-free rate) is equal to the asset's sensitivity to the world market portfolio (β) times the risk premium on the “world market portfolio” (the market risk premium). Since the world market portfolio, by definition, contains all assets in the world, it is not observable. As a result, an estimate for expected return is commonly obtained by taking an estimate for β based on some index (as a proxy for the world market portfolio) and an estimate for the market risk premium based on a potentially different index and multiplying them together. In this paper, it is shown that this results in a biased estimate for expected return. This is undesirable since biased estimates lead to misallocation of funds and biased performance measures. It is also shown in this paper that the straightforward procedure suggested by Fama and MacBeth [J. Financ. Econ. 1 (1974) 43] results in an unbiased estimate for expected return. Further from the analysis done, it follows that, for an unbiased estimate, it does not matter what proxy is used, as long as it is used correctly an unbiased estimate for expected return results.     

Catching up with the Americans

This paper develops an international version of the consumption-based capital asset pricing (CCAPM), which we refer to as “catching up with the Americans.” Previous CCAPM research develops the concept of “catching up with the Joneses,” where a representative economic agent exhibits higher marginal utility of consumption as a result of higher past per capita consumption in his own country. Catching up with the Americans, on the other hand, is an international habit-preference hypothesis. It extends the idea of catching up with the Joneses by stating that consumers of non-U.S. countries gain higher marginal utility of consumption as a result of higher past American consumption growth. Contrary to much of the CCAPM literature, we test this version of the model using long bond rates rather than equity returns. However, like most of the previous research on the CCAPM, the catching up with the Americans model fails to explain the relationship between consumption and asset returns.     

调配产权收益完善资产负债结构

国资监督机构在深化国资国企过程中应集中调配产权权益,完善资产负债结构,优化资源配置,通过资本运营和良好的市场环境,充分发挥中央和地方政府的职能,在互为尊重的前提下,杜绝侵权行为的发生。     

基于资产专用性的企业融资决策研究

本文采用Williamson的思路,建立了资产专用性与交易成本、生产成本因素在内的综合交易成本分析模型。分析发现,相对于债务融资而言,股权融资有利于避免按市场规则强行清算带来的专用性资产价值损失,运用包络定理证明专用性程度高的资产具有削减生产成本的作用,专用性程度高的资产以股权融资为佳。     

How does news sentiment affect the states of Japanese stock return volatility?

This paper examines the impact of public news sentiment on the volatility states of firm-level returns on the Japanese Stock market. We firstly adopt a novel Markov Regime Switching Long Memory GARCH (MRS-LMGARCH), which is employed to estimate the latent volatility states of intraday stock return. By using the RavenPack Dow Jones News Analytics database, we fit discrete choice models to investigate the impact of news sentiment on changes of volatility states of the constituent stocks in the TOPIX Core 30 Index. Our findings suggest that news occurrence and sentiment, especially those of macro-economic news, are a key factor that significantly drives the volatility state of Japanese stock returns. This provides essential information for traders of the Japanese stock market to optimize their trading strategies and risk management plans to combat volatility.     

构建会计计量准则若干问题探讨

现行财务会计模式是以历史成本会计计量为特征的,会计计量问题没有引起会计理论界和会计准则制定机构的重视。我国新颁布的《企业会计准则》即将实施,虽然与国际惯例实现了趋同,但还存在缺陷。本文就制订我国会计计量准则提出建议。     

Giffen goods and market making

Summary. This paper shows that information effects per se are not responsible for the Giffen goods anomaly affecting traders demands in multi asset noisy, rational expectations equilibrium markets. The role that information plays in traders strategies also matters. In a market with risk averse, uninformed traders, informed agents have a dual trading motive: speculation and market making. The former entails using prices to assess the effect of error terms; the latter requires employing them to disentangle noise traders demands within aggregate orders. In a correlated environment this complicates the signal extraction problem and may generate upward sloping demand curves. Assuming (i) that competitive, risk neutral market makers price the assets or that (ii) uninformed traders risk tolerance coefficient grows unboundedly, removes the market making component from informed traders demands rendering them well behaved in prices.Received: 30 April 2002, Revised: 3 December 2003, JEL Classification Numbers: G100, G120, G140.Support from the Barcelona Economics Program of CREA and the Ente per gli Studi Monetari e Finanziari Luigi Einaudi, are gratefully acknowledged. I thank Anat Admati, Jordi Caballé, Giacinta Cestone, and Xavier Vives for useful suggestions. The comments provided by the Associate Editor and an anonymous referee greatly improved the papers exposition.     

私募基金的管理规模与最优激励契约

私募基金是一种新兴的资产管理模式,其本质上也是一种委托代理契约。本文利用Tirole(2006)的公司融资分析框架和思想,研究了私募基金管理者与基金外部投资人的委托代理关系,求解出私募基金的最优管理规模和分成比例,并用数值计算方法对理论结果进行了讨论。理论模型和数值计算表明:私募基金的最优管理规模和分成比例是存在的;只有在某些特定的参数组合下,现实中广泛使用的"2—20"合同才具有某种合理性,且并非最优;业绩表现费有助于降低私募基金管理者的道德风险。