货币政策的粘性均衡汇率效应模型及人民币汇率定价的弹性分析

本文以开放的宏观经济为框架、以厂商利润最大化为微观经济基础、以严格的数学推导为逻辑纽带、以粘性价格为理论依据、以购买力平价的微分冲击形式为理论基础，提出并构建了两国货币政策的粘性均衡汇率效应模型。应用模型，本文对1992～2002年的人民币粘性均衡汇率进行了定价，并对2003年的定价进行了预测。以定价汇率及其预测为标准，对1992～2003年的人民币汇率偏离与经常性项目的关系，进行了弹性分析。根据模型与实证分析，获得了一些重要结论。     

流动性与资产定价:基于我国股市资产换手率与预期收益的实证研究

流动性与资产定价是目前金融研究的热点之一 (O’Hara,2 0 0 3 )。本文通过检验交易频率零假设和交易成本备择假设 ,深入分析我国股市流动性与资产定价的理论与经验关系 ,发现 :我国股市存在显著的流动性溢价 ,换手率低、交易成本高且流动性小的资产具有较高的预期收益 ;产生流动性溢价的原因是交易成本而不是交易频率 ;与国外股市相似 ,小企业收益率高于大企业 ,价值股收益率高于成长股。因此 ,我国股市并非令人无法捉摸 ,流动性、规模和价值效应都是资产定价的因素     

不完备市场下的远期结售汇定价问题研究

本文在研究人民币汇率形成机制改革后远期结售汇市场开放进程的基础上,认为市场不完备和定价不合理成为制约远期结售汇业务发展的主要原因。通过对远期结售汇合同签约金额和定价进行相关性分析后,我们借鉴Black-Scholes模型,建立了远期结售汇定价模型,分析了市场不完备对远期结售汇定价的影响,并提出相关对策建议。     

劳动契约视角下的经营者人力资本定价研究

经营者人力资本定价是目前理论研究的热点与难点问题。基于对经营者人力资本构成的多维性和调用的主动性两个关键特征的考察 ,从劳动契约的微观角度对经营者人力资本定价进行分析 ,并充分考虑劳资双方的特定状态 ,进一步探讨影响经营者人力资本价格的权变因素 ,认为经营者人力资本定价是一个复杂的系统过程 ,应该从可重新谈判的动态角度把握定价的精度     

论电信业互联互通规制创新

互联互通是一个世界性的监管难题,但又是电信业改革的基础。如果没有互联互通,新兴的运营商就难以进入市场,电信业的竞争发展就无从谈起。从我国实际情况出发,有效成分定价原则和整体价格上限法的综合运用不但能提高企业效率,降低成本,促进行业竞争,而且能避免掠夺性定价行为,价格战等行为的发生,它是我国现阶段可以考虑的一种较优的接入定价选择。     

Partial moment volatility indices

Forward‐looking partial moment volatility indices are developed using state‐pricing, called the bear index (BEX) and bull index (BUX). Using S&P 500 index (SPX) option prices, we find that BEX and BUX provide superior forecasts for the lower and upper partial moments of future market realised volatility, respectively. We examine the relation between SPX returns and changes in BEX and BUX at the daily level. Results are consistent with the volatility feedback hypothesis. Further, we show that BEX may be more suitable as the ‘investor fear gauge’ than VIX.     

A Note: Natural Generalization of Black-Scholes in the Presence of Skewness,Using Stable Processes

The Lognormal price model is generalized to the class of Log-Stable Processes, a family which possesses self-similarity properties usually only associated with the Lognormal, but which, more generally, can model negatively skewed distributions of return. This generalization appears to explain several discrepancies between the Black-Scholes Model and observed market phenomena, such as the variation of implied volatility of option price with exercise price and term to expiry, and the nonzero probability of bankruptcy or ‘crash’. It will be argued that the class of maximally negatively skewed Stable distributions (a class which, paradoxically, contains the normal) may be utilized to produce models which imply these phenomena naturally.     

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.     

A Pricing and Hedging Comparison of Parametric and Nonparametric Approaches for American Index Options

This article investigates the extent to which options on theAustralian Stock Price Index can be explained by parametricand nonparametric option pricing techniques. In particular,comparisons are made of out-of-sample option pricing performanceand hedging performance. The dataset differs from many of thoseused previously in the empirical options pricing literaturein that it consists of American options. In addition, a broaderspectrum of techniques are considered: a spline-based nonparametrictechnique is considered in addition to the standard kernel techniques,while the performance of a Heston stochastic volatility modelis also considered. Although some evidence is found of superiorperformance by nonparametric techniques for in-sample pricing,the parametric methods exhibit a markedly better ability toexplain future prices and show superior hedging performance.     

Demarketing as a differentiation strategy

Demarketing discourages consumers from buying. This paper shows that demarketing can be a profitable alternative when differentiation through product improvements is not cost effective. The impact of differentiating demarketing on profit, market share, consumers, and total welfare is investigated.This research began while Hess was visiting MIT's Sloan School of Management and was finished while visiting University of Haifa; he thanks both for their support.