风险预算与资产配置在投资组合管理中的应用

本文介绍了风险预算的发展、基本原理和一般流程。提出多因素模型可以作为一个可行的方法来实现风险分解,为投资者在组合管理实务中提供理论支持与技术保障,这是风险预算的重要步骤。同时,探讨了资产配置与风险预算的不同之处与关联性。     

基于BAPM的企业权益资本成本研究

在行为资产定价模型（BAPM）,股票的权益资本成本和行为β相关。在非有效市场中,无风险利率、市场投资组合、行为β和市场风险溢价共同决定了权益资本成本。     

金融行业间的资产风险外溢影响

银行业、保险业和证券业因投资业务而构建起联系,并基于金融资产价格而具有了传染渠道。随着投资活动愈发频繁,金融行业中各行业内部的资产风险可能外溢至其他行业。本文首先从理论上分析金融行业资产风险通过投资资产外溢的过程,通过搭建资产抛售模型模拟资产风险的传染机制,从机构层面和行业层面分析资产风险的生成与传递。其次,基于金融机构实际数据的模拟分析结果显示,四大国有商业银行和中国平安具有外溢风险的能力,首先影响银行和保险公司,随后再扩散到整个金融行业,而证券业则相对较为独立。银行业的外溢影响最大,其次是保险业和证券业。但事实上很难发生足以对外部造成显著影响的损失事件。资产、投资比例、杠杆和监管要求水平在资产风险外溢的过程中具有一定的影响。     

我国商业银行存款保险定价模型比较

文章分别运用RV模型、预期损失定价模型和基于资本配置的定价方法对我国商业银行存款保险定价进行实证测算,通过对比分析三个模型的实证结果,发现基于资本配置的定价方法更适合用于现阶段我国商业银行的存款保险定价,并得出合理的费率水平在0.2²0个基点之间。     

现代资产定价理论的研究和发展 ——基于有效市场假说和资产定价模型的视角

围绕对有效市场假说的联合检验假设难题、资本资产定价模型的检验、"贝塔通缉令""因子动物园""多因素模型大战"等重点和核心话题,对现代资产定价理论文献的研究脉络进行梳理和评述,在此基础上对未来资产定价的研究重点和方向提出建议.     

How beneficial was the Great Moderation after all?

This paper computes the welfare effect of the Great Moderation, using a representative-agent consumption-based asset pricing model. The Great Moderation is modeled according to the data properties of consumption and dividend growth rates, which display a reduction of their innovation-volatility and increased persistence: the latter is a characteristic that has been largely unaddressed in the literature. The theoretical model (a long-run risk model) is calibrated to match average asset pricing variables, as well as consumption and dividend dynamics before and during the Great Moderation. The model captures the relevant features of the Great Moderation (decreased variance, increased persistence, asset prices). It predicts only a modest welfare gain from Great Moderation (0.38 percent in consumption equivalent), due mainly to the utility cost of a late uncertainty resolution.     

Correlation dynamics and international diversification benefits

Forecasting the evolution of security co-movements is critical for asset pricing and portfolio allocation. Hence, we investigate patterns and trends in correlations over time using weekly returns for developed markets (DMs) and emerging markets (EMs) over the period 1973–2012. We show that it is possible to model co-movements for many countries simultaneously using BEKK, DCC, and DECO models. Empirically, we find that correlations have trended upward significantly for both DMs and EMs. Based on a time-varying measure of diversification benefits, we find that it is not possible to circumvent the increasing correlations in a long-only portfolio by adjusting the portfolio weights over time. However, we do find some evidence that adding EMs to a DM-only portfolio increases diversification benefits.     

Pricing factors in capital market and investment strategy： Evidence from Chinese listed companies

This paper explores the performances of some frequently used asset pricing factors and their investment implications in Chinese stock market. It is noted that CAPM model can hardly be applied to Chinese market as portfolios based on 13 values cannot generate high return against high risk. However, two factors （Size and B/M） from Fama-French model （1992） deliver better performances. Such findings indicate that models based on theoretical analysis are somewhat away from practice, and those risk factors from empirical studies are more applicable though not based on theories. Therefore, further researches are desirable concerning asset pricing factors.     

Forecasting stock market volatility: Can the risk aversion measure exert an important role?

In this paper, we predict realized volatility of stock return by utilizing time-varying risk aversion based on a simple linear autoregressive model. Our in-sample results suggest that time-varying risk aversion have significant impact for stock return volatility. In terms of out-of-sample forecasting performance, the empirical results indicate that the incorporation of time-varying risk aversion in the benchmark model can yield more accurate stock return volatility forecasts. Notably, the out-of-sample forecasting results confirm that our conclusions are robust when we apply alternative lag orders and alternative prediction evaluation periods. Finally, we study links between the prediction ability of time-varying risk aversion and the volatility of other stock indices and two kinds of crude oil, and find that the new predictor can effectively strengthen forecasting performance in most case. In view of the importance of volatility risk in the asset pricing process, our research is of great significance for financial asset participants.