基于B-S期权定价模型的可转换债券定价实证分析

可转换债券是一种混合金融衍生工具,它把相应的股票看涨期权内嵌在传统的公司债券之中,具有债券和股票的双重性质,因而可转债的定价问题逐渐为企业和投资者所关注。本文借助Black-Scholes定价模型研究定价理论,对Black-Scholes定价模型进行修正,体现了红利发放对可转换债券定价的影响。     

B-S模型在可转换债券定价中的应用研究

可转换债券是集股权与债券于一体,兼具筹资和避险功能的混合性金融工具,随着我国资本市场的不断发展,可转债的交易规模迅速增长,其定价问题也日益受到投资者和企业的关注。由于可转债价值构成的特殊性,对其定价也相对较为复杂,因此,对可转债定价进行研究具有重要的理论和实际意义。Black一Scholes期权定价模型作为唯一的解析定价方法有着无法比拟的优势,是期权定价模型中最为重要的一个模型。本文以燕京转债(126729)为例,基于B-S模型对可转债的理论价值和市场价值进行了比较分析,分析B-S期权定价模型在我国可转债定价中的适用性。     

我国可转换债券的定价分析

可转换债券兼有普通债券的安全性与股票的收益性,因此自其诞生之日起就备受投资者的青睐。然而,可转换债券中包含着众多的期权使得对其进行准确的定价非常困难熏而我国可转换债券的特殊性使得对其定价更为复杂。本文结合我国可转换债券的特点,用二项式模型对其定价,以期获得相对合理的可转换债券理论价格。     

两种期权定价模型在金融衍生产品中应用与比较

期权理论发展日新月异,期权的定价模型无疑是期权应用研究的一个主要方面。本文对较为常见的两种期权定价模型进行阐述、解析、应用和比较。     

可转换债券定价问题浅析

可转换债券是一种极其复杂的信用衍生产品。其价值主要分为由纯债券价值和转换期权价值两部分有机地构成。利用无套利定价方法来确定可转换债券的定价,通过分别求纯债券价值与转换期权价值的总和来确定可转换债券的定价。     

期权定价方法在管理中的应用

期权是一种极为特殊的衍生产品,它能使买方有能力避免坏的结果,而从好的结果中获益,同时,它也能使卖方产生巨大的损失。当然。期权不是免费的．这就产生了期权定价问题。本文以看涨期权为例,应用Black—Scholes期权定价模型对其定价原理进行分析．由此得出结论在企业投资决策中使用实物期权方法,可以确保利用投资活动所创造出的选择权及其价值．而这恰恰是传统投资决策方法所忽视的,从而把握住更多的机会。     

可转换债券定价问题浅析

可转换债券是一种极其复杂的信用衍生产品。其价值主要分为由纯债券价值和转换期权价值两部分有机地构成。利用无套利定价方法来确定可转换债券的定价,通过分别求纯债券价值与转换期权价值的总和来确定可转换债券的定价。     

基于模糊决策空间的B-S期权评价模型研究

在不确定情况下,如何对期权价值进行准确定价一直是研究的热点.在项目评价中,由于人类思维及行为具有模糊以及难以量化的特点,传统的期权定价方法使决策不可避免地再次被刚性化.为此本文应用模糊理论及贝氏定理来度量该模糊性及模糊样本信息效果,据以作为估计期权定价模型中相关变量期望值的依据,并藉以建立模糊期权定价模型,以确定不确定性情况下的B-S期权定价问题.     

An Empirical Portfolio Perspective on Option Pricing Anomalies

We empirically study the economic benefits of giving investorsaccess to index options in the standard portfolio problem, analyzingboth expected-utility and nonexpected-utility investors in orderto understand who optimally buys and sells options. Using dataon S&P 500 index options, CRRA investors find it alwaysoptimal to short out-of-the-money puts and at-the-money straddles.The option positions are economically and statistically significantand robust to corrections for transaction costs, margin requirements,and Peso problems. Loss-averse and disappointment-averse investorsalso optimally hold short option positions. Only with highlydistorted probability assessments can we obtain positive portfolioweights for puts (cumulative prospect theory and anticipatedutility) and straddles (anticipated utility).     

Option Pricing under Stochastic Interest Rates: An Empirical Investigation

Using daily data of the Nikkei 225 index, call option prices and call money rates of the Japanese financial market,a comparison is made of the pricing performance of stock option pricing modelsunder several stochastic interest rate processes proposedby the existing term structure literature.The results show that (1) one option pricing modelunder a specific stochastic interest ratedoes not significantly outperformanother option pricing model under an alternative stochasticinterest rate, and (2) incorporating stochastic interest ratesinto stock option pricing does not contribute to the performanceimprovement of the original Black–Scholes pricing formula.     

中国地震巨灾期权定价机制的实证研究

中国是遭受地震灾害最严重的国家之一,青海玉树地震将巨灾风险管理的课题再次摆到了研究者和决策者的面前。本文在剖析中国地震巨灾期权发展现状的基础上,借鉴并改进了海内外相关研究结论,构建了中国地震巨灾期权的定价模型,并对其进行了实证计量和讨论。通过对其定价机制的实证研究,本文对推动中国地震巨灾期权的发展提出了必要的政策建议。     

可转债定价实证

可转债的合理定价是债券成功发行的关键,对其隐含的标的股票看涨期权价值衡量主要有B-S模型和二叉树模型两种方法。近年来,可转债在中国市场取得了很大发展,两种可转债定价模型在中国可转债市场定价的适用性研究不论是从理论意义还是从实际应用的角度来说,都应得到投资者的重视。     

Empirical Performance of Alternative Option Pricing Models

Substantial progress has been made in developing more realistic option pricing models. Empirically, however, it is not known whether and by how much each generalization improves option pricing and hedging. We fill this gap by first deriving an option model that allows volatility, interest rates and jumps to be stochastic. Using S&P 500 options, we examine several alternative models from three perspectives: (1) internal consistency of implied parameters/volatility with relevant time-series data, (2) out-of-sample pricing, and (3) hedging. Overall, incorporating stochastic volatility and jumps is important for pricing and internal consistency. But for hedging, modeling stochastic volatility alone yields the best performance.     

An Event Option Pricing Model with Scheduled and Unscheduled Announcement Effects

There is considerable evidence supporting the time-varying distribution of asset returns. There is also ample evidence that scheduled announcement events such as money supply announcements (in the case of foreign exchange), earnings announcements (in the case of stocks), and crop reports (in the case of commodities), as well as random unscheduled events, can affect the level and volatility of asset returns. This study provides an Event Model for European call options which explicitly addresses effects of these two classes of events. This specification requires estimation of more parameters, but it could provide a more accurate basis for pricing options than previous Poisson jump-diffusion models. Parametric analysis shows that the standard models under price the options relative to the Event Model. The Event Model may be particularly useful in pricing short-term deep out-of-the-money options when scheduled events are present in the market.     

基于B-S模型的金融衍生工具定价创新机理研究

在金融市场中,对金融衍生工具的定价是非常困难同时也是非常重要的问题。本文从金融学角度,在理论上证明和推导了布莱克-舒尔斯定价模型,并通过对该模型加以分析与应用,导出了期货价格的动态定价模型。     

Analysis of the Nonlinear Option Pricing Model Under Variable Transaction Costs

In this paper we analyze a nonlinear Black–Scholes model for option pricing under variable transaction costs. The diffusion coefficient of the nonlinear parabolic equation for the price V is assumed to be a function of the underlying asset price and the Gamma of the option. We show that the generalizations of the classical Black–Scholes model can be analyzed by means of transformation of the fully nonlinear parabolic equation into a quasilinear parabolic equation for the second derivative of the option price. We show existence of a classical smooth solution and prove useful bounds on the option prices. Furthermore, we construct an effective numerical scheme for approximation of the solution. The solutions are obtained by means of the efficient numerical discretization scheme of the Gamma equation. Several computational examples are presented.