Download or read book The Assessment of Pricing Quality for the Jump Diffusion Models and the Pure Jump Option Pricing Model Evidence from the Taiwan Stock Options written by 林坤慶 and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Option Pricing on Jump diffusion Models written by and published by . This book was released on 2009 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Role of Additional Information in Option Pricing Estimation Issue Under Jump diffusion Models written by 黃建霖 and published by . This book was released on 2009 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Jump Diffusion Model for Option Pricing written by Steven Kou and published by . This book was released on 2001 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract_Content: Brownian motion and normal distribution have been widely used in the Black-Scholes option pricing framework to model the return of assets. However, two puzzles emerge from many empirical investigations: the leptokurtic feature that the return distribution of assets may have a higher peak and two (asymmetric) heavier tails than those of the normal distribution, and an empirical abnormity called quot;volatility smile'' in option pricing. To incorporate both of them, this paper proposes, for the purpose of option pricing, a double exponential jump diffusion model. The main attraction of the model is its simplicity. In particular, it is simple enough to derive analytical solutions for a variety of option pricing problems, including call and put options, interest rate derivatives and path-dependent options; it seems impossible for many other alternative models to do this. Equilibrium analysis and a psychological interpretation of the model are also presented.
Download or read book Pricing Options in Jump Diffusion Models written by Liming Feng and published by . This book was released on 2007 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a new computational method for the valuation of options in jump-diffusion models. The option value function for European and barrier options satisfies a partial integro-differential equation (PIDE). This PIDE is commonly integrated in time by implicit-explicit (IMEX) time discretization schemes, where the differential (diffusion) term is treated implicitly, while the integral (jump) term is treated explicitly. In particular, the popular IMEX Euler scheme is first order accurate in time. Second order accuracy in time can be achieved by using the IMEX midpoint scheme. In contrast to the above approaches, we propose a new high-order time discretization scheme for the PIDE based on the extrapolation approach to the solution of ODEs, that also treats the diffusion term implicitly and the jump term explicitly. The scheme is simple to implement, can be added to any PIDE solver based on the IMEX Euler scheme, and is remarkably fast and accurate. We demonstrate our approach on the examples of Merton's and Kou's jump-diffusion models, diffusion-extended Variance Gamma model, as well as the two-dimensional Duffie-Pan-Singleton model with correlated and contemporaneous jumps in the stock price and its volatility. By way of example, pricing a one-year double-barrier option in Kou's jump-diffusion model, our scheme attains accuracy of $10^{-5}$ in 72 time steps (in 0.05 seconds). In contrast, it takes the first-order IMEX Euler scheme more than 1.3 million time steps (in 873 seconds) and the second-order IMEX midpoint scheme 768 time steps (in 0.49 seconds) to attain the same accuracy. Our scheme is also well suited for Bermudan options. Combining simplicity of implementation and remarkable gains in computational efficiency, we expect this method to be very attractive to financial engineering modelers.
Download or read book Jump Diffusion Option Pricing A Reexamination from an Economic Viewpoint written by Bernhard Nietert and published by . This book was released on 1997 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Options will usually elude arbitrage-oriented pricing if the underlying stock follows a jump/ diffusion process - one has to rely on equilibrium-based pricing approaches. However, all ex-isting pricing models under jumps have one in common weakness: they pay too less attention to the economic modeling of jumps, because they chiefly argue with constant, at best deter-ministicly changing jump probabilities. Hence, they imply a predictable pattern of jumps' oc-currences, which is not able to adequately depict the arrival of extraordinary and partly surpris-ing information jumps are intended to capture.Therefore, we need an economically more precise characterization of the jump phenomenon. To that end, we firstly distinguish between firm-specific and market jumps (scope of jumps) as well as between crashes and explosions (direction of jumps). Secondly, we use stochastic jump probabilities and density functions of jump amplitudes to take into account the uncertain arri-val of extraordinary information. Based on this - compared to literature - significantly modi-fied jump representation, we derive option pricing formulas in a jump/diffusion environment under exogenous and endogenous interest rate.
Download or read book The Pricing of Jump Propagation written by Du Du and published by . This book was released on 2017 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines the joint time series of the S&P500 index and its options with a two-factor Hawkes jump-diffusion model that captures jump propagation (i.e., the phenomenon in which the strike of one jump substantially raises the probability for more to follow). The propagation effect uncovered from the joint data is severe but short-lived. On average, this component takes up more than two-thirds of the total jump risks. Our jump specification proves crucial not only in reconciling the dynamics implied from the joint data but also in explaining the time series of option-implied volatility skew.
Download or read book Calibration of Jump Diffusion Option Pricing Models written by Rama Cont and published by . This book was released on 2015 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a non-parametric method for calibrating jump-diffusion models to a finite set of observed option prices. We show that the usual formulations of the inverse problem via nonlinear least squares are ill-posed and propose a regularization method based on relative entropy. We reformulate our calibration problem into a problem of finding a risk neutral jump-diffusion model that reproduces the observed option prices and has the smallest possible relative entropy with respect to a chosen prior model. Our approach allows to conciliate the idea of calibration by relative entropy minimization with the notion of risk neutral valuation in a continuous time model. We discuss the numerical implementation of our method using a gradient based optimization algorithm and show via simulation tests on various examples that the entropy penalty resolves the numerical instability of the calibration problem. Finally, we apply our method to datasets of index options and discuss the empirical results obtained.
Download or read book Risk Neutral Option Pricing for Log Uniform Jump Amplitude Jump Diffusion Model written by Floyd B. Hanson and published by . This book was released on 2013 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reduced European call and put option formulas by risk-neutral valuation are given. It is shown that the European call and put options for log-uniform jump-diffusion models are worth more than that for the Black-Scholes (diffusion) model with the common parameters. Due to the complexity of the jump-diffusion models, obtaining a closed option pricing formula like that of Black-Scholes is not tractable. Instead, a Monte Carlo algorithm is used to compute European option prices. Monte Carlo variance reduction techniques such as both antithetic and optimal control variates are used to accelerate the calculations by allowing smaller sample sizes. The numerical results show that this is a practical, efficient and easily implementable algorithm.
Download or read book Option Pricing and Jump diffusion Models written by Zongwu Zhu and published by . This book was released on 2005 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Displaced Jump Diffusion Option Valuation written by Antonio Camara and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper extends the jump-diffusion option pricing model of Merton (1976) and the displaced diffusion option pricing model of Rubinstein (1983) to price options on stock indices. First, we provide a theory showing that the stock index value has a positive threshold or positive lower bound if the constituent firms of the index, when their equity falls below a given value, are replaced by new firms with higher equity. Second, using equilibrium arguments in an economy where the systematic jump risk of the stock index can not be eliminated, we derive a displaced jump-diffusion (DJD) option valuation model to price options written on stock indices. Third, we test empirically our DJD option pricing model using Samp;P 500 index options data from January 1996 through April 2006. The results of the tests strongly support our theories.
Download or read book Discrete time Bond and Option Pricing for Jump diffusion Processes written by Sanjiv R. Das and published by . This book was released on 1994 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper provides a methodology for pricing American type interest rate contingent claims for jump-diffusion processes. The method enhances the standard finite-differencing approach to deal with partial differential-difference equations derived in a jump-diffusion world. The numerical stability and convergence of the scheme is also proved. Numerical illustrations compare jump-diffusion and pure-diffusion models. Whereas the existence of jumps affects call options on bonds very much like those on stocks, this is not the case for puts which are affected by the asymmetric convexity of the bond pricing function. Early exercise behavior is also analyzed.
Download or read book Essays on Empirical Performance of Affine Jump diffusion Option Pricing Models written by Xiang Zhang and published by . This book was released on 2012 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Option Pricing for a Stochastic volatility Jump diffusion Model written by Guoqing Yan and published by . This book was released on 2006 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the accurate and fast European option pricing formulas, we calibrate the models to S&P 500 Index option quotes by least squares method. Spot variance and structural parameters for different models including Black-Scholes, Stochastic-Volatility. SVJD-Uniform, SVJD-Normal, SVJD-DbExp are estimated. Fitting performance of different models are compared and our proposed SVJD-Uniform model is found to fit the market data the best.
Download or read book Pricing American Options in the Jump Diffusion Model written by 張育群 and published by . This book was released on 2005 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Two Counters of Jumps written by Antonio Camara and published by . This book was released on 2008 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper introduces a class of two counters of jumps option pricing models. The stock price follows a jump-diffusion process with price jumps up and price jumps down, where each type of jumps can have different means and standard deviations. Price jumps can be negatively autocorrelated as it has been observed in practice. We investigate the volatility surfaces generated by this class of two counters of jumps option pricing models. Our formulae, like the jump-diffusion models with a single counter of jumps, are able to generate smiles, and skews with similar shapes to those observed in the options markets. More importantly, unlike the jump-diffusion models with a single counter of jumps, our formulae are able to generate term structures of implied volatilities of at-the-money options with amp;∩-shaped patterns similar to those observed in the marketplace.
Download or read book Pricing Discrete Lookback Options Under a Jump diffusion Model written by 顔汝芳 and published by . This book was released on 2007 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
