基于实物期权的风险投资项目评价分析

风险投资项目与其他项目相比不确定性更大,在传统投资决策方法下,风险投资项目的不确定性使项目的投资价值更低,而实物期权方法作为一种新的投资决策方法为风险项目投资中不确定性问题提供了一种解决的思路。尝试把实物期权理论引入到风险投资项目评估中,并把传统方法与实物期权方法结合起来,旨在完善风险投资项目的评价方法。最后得出结论,实物期权方法为投资者继续投资提供了科学的依据,其在风险项目投资决策中的应用具有重要意义。     

分阶段风险投资价值评估期权模型研究

风险投资具有期权的特征,可以利用金融期权的定价模型对风险投资项目进行价值评估。但风险投资中的期权有别于金融期权,项目投资中的期权以实物资产为基础,项目投资中的期权被称作实物期权。本文结合实物期权的特征,探讨了分阶段投资项目价值评估模型,并对其优越性和局限性进行了评价。     

基于实物期权理论的房地产投资研究

实物期权是一种指导投资决策的思维方法,它考虑了项目投资中管理柔性和战略投资的价值,是一种更为科学的估价方法。本文在分析房地产投资估价中的期权特性的基础上,用实物期权理论对房地产投资中的等待期权进行估价,并通过案例分析说明其在实际中的应用。     

实物期权风险投资项目的价值评估

一种新的期权定价模型在风险投资项目中得到广泛应用,本文以美式期权为例,基于二叉树模型得出项目价值。算例表明,传统的净现值法由于忽视项目实物期权价值而具有一定的缺陷。     

运用实物期权理论进行风险投资决策

在新领域项目的选择中,如何确定该项目是否可行且有长期潜力?按现有的技术,可以通过价值评估来确定项目的价值从而做出决策。本文通过NPV法和实物期权理论的对比来说明实物期权理论的可行性和准确性,并举例论证实物期权理论在风险投资决策中的作用。     

多阶段风险投资项目评价

对于风险投资项目的投资决策是以对项目的科学评价为基础,通过研究传统风险投资评价模型和指标,基于风险企业的特点-阶段性投资,探讨复合实物期权定价模型在风险投资项目评价方面的应用。复合实物期权定价模型解决了传统方法在风险企业投资价值评价方面的灵活性不足,但忽略了不同阶段投资的期权价值。     

实物期权在风险投资决策中的应用

在风险投资决策过程中,由于传统评价方法的缺陷,形成实物期权这一新的研究方向。基于实物期权定价的改进净现值模型为评价项目的投资可行性提供了新方法,并通过这一新的定价模型对投资案例进行了可行性分析。     

从实物期权角度谈企业并购的价值评估

企业并购价值评估对于企业并购决策具有十分重要的意义。采用正常环境下的传统现金流贴现估价模型对并购进行经济评价有许多不足之处。而实物期权理论是一种针对不确定环境下具有经营灵活性的项目投资进行经济评价的有效方法。本文对实物期权概念、定价模型及其在并购领域的应用进行了探讨。     

实物期权在房地产投资估价中的应用

与传统的投资决策方法相比,实物期权方法不仅考虑到房地产投资的不确定性带来的风险,还体现了其柔性管理和战略投资的价值。介绍了实物期权理论的概念与分类,将实物期权理论引入房地产投资估价中,并通过等待期权实例分析说明了其在实际中的应用。     

实物期权理论分析与应用

随着世界经济全球化的进程进一步加快,企业面临市场中不确定性越来越大,传统的投资决策理论（以净现值法为代表）已越来越不能适应公司投资决策的需要。本文首先指出传统的风险投资项目价值评估方法的局限性,然后对实物期权理论加以介绍,最后介绍实物期权的应用框架。     

创业企业价值的实物期权评估方法

发展创业企业是各国实现经济迅速增长的重要途径。创业企业价值评估对于投资决策具有十分重要的意义。但是,目前常用的折现现金流量法无法完整地评估创业企业价值。因此,本文引入实物期权概念对创业企业价值进行分析,并运用Black-Scholes公式和二叉树模型对其价值进行评估。     

期权“隐含波动率微笑”成因分析

Black-Scholes期权定价模型低估深实值和深虚值期权的现象称为“波动率微笑”。其主要原因是资产价格过程假设和市场机制因素给期权卖方的△套期保值带来了额外风险和成本。确定波动率和随机波动率研究都对BS模型做出了修正。     

风险投资决策的多阶段混合式期权定价模型及其分析

从风险投资的投资时间多阶段性和投资决策不确定性出发,运用实物期权的二叉树模型和扩展后的三叉树模型,建立了一个符合风险投资实际的多阶段混合式期权定价模型,以期开拓对风险投资决策的新思路。     

Valuing lookback options with barrier

In this paper, we introduce a new class of exotic options, termed lookback-barrier options, which literally combine lookback and barrier options by incorporating an activating barrier condition into the European lookback payoff. A prototype of lookback-barrier option was first proposed by Bermin (1998), where he intended to reduce the expensive cost of lookback option by considering lookback options with barrier. However, despite his novel trial, it has not attracted much attention yet. Thus, in this paper, we revisit the idea and extend the horizon of lookback-barrier option in order to enhance the marketability and applicability to equity-linked investments. Devising a variety of payoffs, this paper develops a complete valuation framework which allows for closed-form pricing formulas under the Black–Scholes model. Our closed-form pricing formulas provide a substantial advantage over the method of Monte Carlo simulation, because the extrema appearing in both of the lookback payoff and barrier condition would require a large number of simulations for exact calculation. Complexities involved in the derivation process would be resolved by the Esscher transform and the reflection principle of the Brownian motion. We illustrate our results with numerical examples.     

企业并购中人力资本价值评估模型研究

人力资本是实现企业价值创造的关键因素,企业并购会对人力资本价值产生重大影响。由于企业并购对人力资本价值的影响具有特殊性,因此在界定企业人力资本内涵的基础上,论文分析了现有定价模型的缺陷,通过阐析并购过程中人力资本价值变化与实物期权的相关特性,引入实物期权模型对并购过程中的人力资本价值变化进行评估分析。     

The effect of market sentiment and information asymmetry on option pricing

This work addresses the impact of imperfections, such as information asymmetry and market sentiment, on the performance of option pricing models. More precisely, this work compares the option pricing model of Black and Scholes and the same model in the presence of imperfections. This study is based on S&P 500 options that cover the period between 17/03/2000 and 14/06/2013. The achieved results show that, in general, in the presence of imperfections, the model is more effective than the Black and Scholes model. This research appears to be promising for the incorporation of imperfections into the assessment of options.     

基于增长期权的并购目标企业价值评估

实物期权评价方法的引入弥补了传统现金流量法在并购目标企业价值评估中的不足,并充分考虑了管理灵活性所具有的价值。首先,回顾了国内运用实物期权评价法对并购目标企业价值评估的研究;然后,建立包含增长期权的并购目标企业价值评估模型,在对其中增长期权的定价中加入市场竞争及企业竞争力的影响;最后,运用案例演示具体计算过程。     

Dupire’s formulas in the Piterbarg option pricing model

In this paper we derive an expression for the local volatility of an underlying asset, given the prices of liquid European call options under the Piterbarg framework. The Piterbarg framework is a multi-curve derivative pricing model which extends the well known Black–Scholes–Merton model by relaxing the assumption of a risk-free interest rate, and includes collateral payments. The expressions for the local volatility is a function of the option price surface, and is then transformed to become a function of the implied volatility surface.     

Option Pricing under the Double Exponential Jump-Diffusion Model with Stochastic Volatility and Interest Rate

This paper proposes an efficient option pricing model that incorporates stochastic interest rate (SIR), stochastic volatility (SV), and double exponential jump into the jump-diffusion settings. The model comprehensively considers the leptokurtosis and heteroscedasticity of the underlying asset’s returns, rare events, and an SIR. Using the model, we deduce the pricing characteristic function and pricing formula of a European option. Then, we develop the Markov chain Monte Carlo method with latent variable to solve the problem of parameter estimation under the double exponential jump-diffusion model with SIR and SV. For verification purposes, we conduct time efficiency analysis, goodness of fit analysis, and jump/drift term analysis of the proposed model. In addition, we compare the pricing accuracy of the proposed model with those of the Black–Scholes and the Kou (2002) models. The empirical results show that the proposed option pricing model has high time efficiency, and the goodness of fit and pricing accuracy are significantly higher than those of the other two models.     

Valuation of piecewise linear barrier options

This paper discusses the valuation of piecewise linear barrier options that generalize classical barrier options. We establish formulas for joint probabilities of the logarithmic returns of the underlying asset and its partial running maxima when the process has a piecewise constant drift. In particular, we show that our results embrace the famous reflection principle as a special case, and that our established proposition delivers useful scalability for computing desired probabilities related to various types of barriers. We derive the closed-form prices of piecewise linear barrier options under the Black–Scholes framework, which are obtainable with little effort by relying on the derived probabilities. In addition, we provide numerical examples and discuss how option prices respond to several types of piecewise linear barriers.