Predicting the equity market with option-implied variables

We comprehensively analyze the predictive power of several option-implied variables for monthly S&P 500 excess returns and realized variance. The correlation risk premium (CRP) and the variance risk premium (VRP) emerge as strong predictors of both excess returns and realized variance. This is true both in- and out-of-sample. Our results also reveal that statistical evidence of predictability does not necessarily lead to economic gains. However, a timing strategy based on the CRP leads to utility gains of more than 5.03% per annum. Forecast combinations provide stable forecasts for both excess returns and realized variance, and add economic value.     

影响盈余信息含量的因素——来自A股的实证结果

研究中习惯用回报／盈余关系来表示会计盈余的信息含量。通过A股的实证结果发现，当时间窗口为公告日前后60关时，回报／盈余关系较显著；盈余的持续性越高，回报／盈余关系越显著；非线性的模型比线性模型的解释能力更强。但是模型总体的R2水平都较低，这可能是由于研究方法的缺陷、市场的非理性、盈余本身信息含量低等原因造成的。     

基于行为决策理论的投资决策研究：发展及实践意义

以“理性人”假设为基础的传统财务决策理论将决策者独立于投资决策过程之外，认为决策者完全能够依据理性决策模型做出最优的决策，但现实并非如此。本文对行为决策理论中关于投资决策的研究文献进行了梳理，揭示了决策者的行为特征会影响到投资决策及投资回报率的设定，展望了行为决策理论在我国的发展前景及实践意义。     

从国营到国有——国家股转让效果分析

本文系统地研究了从1997年到2000年在上海证券交易所和深圳证券交易所发生的国有资产局将控制权转让给国有独资企业和国有法人企业的案例数据。研究发现国家股控制权转让后公司业绩有了明显的改善,同时证券市场对国家股转让行为做出了积极的反应,产生了明显的超额收益。     

动态资本资产定价理论评述

本文主要讨论了动态资产定价理论的产生和发展.默顿和布里登使用贝尔曼开创的动态规划方法和伊藤随机分析技术,重新考察在由随机过程驱动的不确定环境下,个人如何连续地做出消费/投资决策,使得终身效用最大化.无须单期框架中的严格假定,他们也获得了连续时间跨期资源配置的一般均衡模型--时际资产定价模型(ICAPM)以及消费资产定价模型(CCAPM).这些工作开启了连续时间金融方法论的新时代.     

证券交易机制影响股价吗?——对中国股票市场的再检验

本文在对分别按照开盘价和收盘价计算的两种收益率的比较中发现了极值聚集现象 ,文中将形成这一现象的原因归结于市场中涨跌幅限制的存在 ,并建立了一个简单模型对此进行了说明。其后 ,利用市场中不存在涨跌幅限制时期的数据对该模型进行了验证。在结论部分 ,本文分析了除交易机制外造成两种收益率差异的其他因素 ,并认为有关交易机制对股价行为影响的研究有待深入。     

The effect of management incentives and cross-listing status on the accounting treatment of R&D spending

This paper investigates the effect of management incentives and cross-listing status on the accounting treatment of research and development (R&D) spending for a sample of Canadian hi-tech and biopharmaceutical firms. U.S. GAAP adopts an immediate expensing rule for all R&D spending except for software development costs for which technological feasibility has been established. Contrary to the U.S., Canadian and international standard setters recommend capitalization if development costs meet certain criteria. Because those criteria are largely based on management judgment, capitalization of R&D spending is an accounting choice that can be used for income manipulation or signaling.Using a logit model, we examine how the decision to capitalize R&D spending is influenced by the cross-listing status and several other key firm characteristics that are well documented in the accounting literature. We find that the probability of capitalizing R&D spending increases for cross-listed and non-cross-listed firms in the software industry. The probability of capitalizing R&D spending also increases for firms that are more leveraged, more mature, and have higher level of cash flows from operations. However, the probability of capitalizing R&D spending decreases for larger corporations, firms with more concentrated ownership and highly profitable firms. Overall our results indicate a preference for Canadian firms in the software industry to emulate U.S. accounting practices for R&D spending. They also suggest that firms use the decision to capitalize or expense R&D spending as an earning management tool to either meet debt covenants or to smooth income.     

Reflections on the Efficient Market Hypothesis: 30 Years Later

In recent years financial economists have increasingly questioned the efficient market hypothesis. But surely if market prices were often irrational and if market returns were as predictable as some critics have claimed, then professionally managed investment funds should easily be able to outdistance a passive index fund. This paper shows that professional investment managers, both in The U.S. and abroad, do not outperform their index benchmarks and provides evidence that by and large market prices do seem to reflect all available information.     

Out‐of‐sample stock return predictability in emerging markets

This article builds on the widely debated issue of stock return predictability by applying a broad range of predictor variables and comprehensively considering the in‐sample and out‐of‐sample stock return predictability of ten advanced emerging markets. It compares forecasts from models with a single predictor variable, multiple predictor variables and a combination forecast approach. The results confirm the findings of Welch and Goyal (2008) for US data that only a limited number of individual predictor variables are able to deliver significant out‐of‐sample forecasts. However, a combination forecast approach provides statistically and economically significant out‐of‐sample forecast results.     

Information and its impact on consumers׳ reactions to restrictive return policies

Designing an effective return policy is a difficult task for retailers. A very restrictive return policy can keep logistic costs down and prevent fraudulent returns but it can also have a negative effect on consumer behavior. Two experiments explore the role of assortment-related information in moderating consumers׳ negative reactions to more restrictive product return policies. The results demonstrate that consumers will view an assortment characterized by a more restrictive return policy as attractive to the extent that the assortment supports the information processing strategy triggered by the return policy.