存在风险条件下的资本市场投资预期收益模型研究

风险是指预期收益的不确定性,是指在将来一段时间内遭受损失的可能性.进行资本市场投资,必然存在风险.资本市场投资风险就是投资预期结果(预期收益损失)的不确定性,有投资风险,就会有投资者对其进行的预期.本文建立了存在风险条件下的资本市场投资预期收益模型,并由此得出了不同投资者的预期收益--风险偏好的不同投资选择.     

解析中国资本市场预期形成的阶段及其特征

预期的发展经历了一个由低级向高级、由简单向复杂、由不成熟到成熟的发展过程。由于中国资本市场发展的历史不长,其预期问题的出现和存在历史也不长。中国资本市场预期经历了静态的、外推型的、适应性预期和正在经历的理性预期以及将要经历的孔明预期等不同的预期形式和阶段。虽然投资者对资本市场能够进行带有理性预期的特征,但那只是介于适应性预期与理性预期之间的准理性预期或亚理性预期,还不是真正意义上的理性预期。     

新兴市场的市场预期与资本流动研究

市场预期一直被认为是影响资本流动的重要原因,在全球金融危机的大背景下,新兴市场成为大家关注的焦点,因此,文章旨在研究新兴市场在市场预期的影响下,资本流动所呈现出的基本特征。     

适当降低自己的理财收益预期

正在给客户提供理财咨询服务的过程中,发现许多客户都对理财收益比较在意,这本无可厚非,毕竟谁都喜欢多赚一些钱。但是,不少客户却对收益过分苛求,经常一张口就向理财经理要收益8%甚至超过10%的产品,而且还要保本,这让很多理财经理十分无奈:"这样的产品我们自己都想做,可哪能天天都有这么高收益的产品!"许多理财经理     

新兴市场的市场预期与资本流动研究

市场预期一直被认为是影响资本流动的重要原因,在全球金融危机的大背景下,新兴市场成为大家关注的焦点,因此,文章旨在研究新兴市场在市场预期的影响下,资本流动所呈现出的基本特征。     

中国资本市场的预期问题特征及其解决对策

资本市场是一个充满预期因素影响的市场。不同资金实力、不同年龄组、不同经验、不同文化的投资者心理预期不同。在有效需求不足的情况下,应采取多种途径,提高资本市场投资的预期收益水平,降低并尽可能减少其整体的系统性风险,增强投资者对我国资本市场的长期稳定性预期,力争使投资者对它形成良性预期,使资本市场和宏观经济确立起一种良性互动的机制。     

资本市场释放乐观预期效应

过去五年股市经过“凤凰涅槊”般的苦痛,以全行业走入低迷的代价。奠定了行业衰极而盛的拐点。     

走出预期收益的误区

2011年,股市继续低迷,基金收益大幅收窄,贵金属价格居高不下,期货市场震荡加剧,楼市投资前景不明朗,投资热情也随之退却。资本市场、房地产投资遭遇困境,却成就了银行理财产品的繁荣。     

On Stock Market Returns and Returns on Investment

This article presents general conditions under which it is possible to obtain asset pricing relations from the intertemporal optimal investment decision of the firm. Under the assumption of linear homogeneous production and adjustment cost functions (the Hayashi (1982) conditions), it is possible to establish, state by state, the equality between the return on investment and the market return of the financial claims issued by the firm. This result proves to be, in essence, robust to the consideration of very general constraints on investment and the inclusion of taxes.     

Connecting Optimal Capital Investment and Equity Returns

Economic theory predicts a contemporaneous correlation between equity returns and investment growth that is only weakly present in the data. By modifying the firm's production function to include a lag between investment decisions and expenditures, and after correcting for the temporal aggregation of investment, I find the predicted correlation to be present in the data. I estimate the model for 31 industries and find that investment returns are highly correlated with the industry portfolio equity returns. Further, the portion of investment returns orthogonal to equity returns is associated positively with changes in profitability and negatively with lagged differences between equity and investment returns.     

Cost of Transacting and Expected Returns in the Nasdaq Market

This article empirically examines the liquidity premium predicted by the Amihud and Mendelson (1986) model using Nasdaq data over the 1973–1990 period. The results support the model and are much stronger than for the New York Stock Exchange (NYSE), as reported by Chen and Kan (1989) and Eleswarapu and Reinganum (1993) . I conjecture that the stronger evidence on the Nasdaq is due to the dealers' inside spreads on the Nasdaq being a better proxy for the actual cost of transacting than the quoted spreads on the NYSE, since the Nasdaq dealers do not face competition from limit orders or floor traders.     

Organization Capital and the Cross‐Section of Expected Returns

Organization capital is a production factor that is embodied in the firm's key talent and has an efficiency that is firm specific. Hence, both shareholders and key talent have a claim to its cash flows. We develop a model in which the outside option of the key talent determines the share of firm cash flows that accrue to shareholders. This outside option varies systematically and renders firms with high organization capital riskier from shareholders' perspective. We find that firms with more organization capital have average returns that are 4.6% higher than firms with less organization capital.     

Expected Option Returns

This paper examines expected option returns in the context of mainstream asset-pricing theory. Under mild assumptions, expected call returns exceed those of the underlying security and increase with the strike price. Likewise, expected put returns are below the risk-free rate and increase with the strike price. S&P index option returns consistently exhibit these characteristics. Under stronger assumptions, expected option returns vary linearly with option betas. However, zero-beta, at-the-money straddle positions produce average losses of approximately three percent per week. This suggests that some additional factor, such as systematic stochastic volatility, is priced in option returns.     

Expected Idiosyncratic Volatility Measures and Expected Returns

We find that idiosyncratic volatility forecasts using information available to traders at the time of the forecast are not related to expected returns. The positive relation documented in a number of other papers only exists when forward‐looking information is incorporated into the volatility estimate. That positive relation is driven by the realized idiosyncratic volatility component that cannot be forecasted by investors. Our findings are robust to several different empirical tests, volatility forecasting models and time periods.     

跋涉前行的中国资本市场

"黑天鹅"现象终结了没有? 创出罕见跌幅的国内A股市场 迄今为止,中国资本市场从未经历过如此跌宕起伏的行情波动.国内A股市场从2008年初的5261点一路下行至1800点附近.期间最大跌幅达到65%,与全球主要市场相比,仍属于历史罕见.     

Capital Investment,Innovative Capacity,and Stock Returns

We study the dynamic implications of capital investment in innovative capacity (IC) on future stock returns, investment, and profitability by modeling the unique effects of IC investment on uncertain option generation/exercise and postexercise revenue. The model highlights the diverse effects of IC investment on expected returns in different postinvestment regimes and yields the novel prediction that, under the neoclassical assumption of nonincreasing revenue returns, IC investment is positively related to subsequent cumulative stock returns with a lag. The model also predicts a positive effect of IC investment on future investment and profitability. We find strong empirical support for these predictions.     

Earnings and Expected Returns

The aggregate dividend payout ratio forecasts excess returns on both stocks and corporate bonds in postwar U.S. data. High dividends forecast high returns. High earnings forecast low returns. The correlation of earnings with business conditions gives them predictive power for returns; they contain information about future returns that is not captured by other variables. Dividends and earnings contribute substantial explanatory power at short horizons. For forecasting long-horizon returns, however, only (scaled) stock prices matter. Forecasts of low long-horizon stock returns in the mid-1990s are caused not by earnings or dividends, but by high stock prices.