Essays In Volatility And Stochastic Volatility Option Pricing Models

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Essays In Volatility And Stochastic Volatility Option Pricing Models

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Author : İnanç Kırgız
language : en
Publisher:
Release Date : 2001

Essays In Volatility And Stochastic Volatility Option Pricing Models written by İnanç Kırgız and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Financial futures categories.

Essays On American Options Pricing Under Levy Models With Stochastic Volatility And Jumps

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Author : Ye Chen
language : en
Publisher:
Release Date : 2019

Essays On American Options Pricing Under Levy Models With Stochastic Volatility And Jumps written by Ye Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

In ``A Multi-demensional Transform for Pricing American Options Under Stochastic Volatility Models", we present a new transform-based approach for pricing American options under low-dimensional stochastic volatility models which can be used to construct multi-dimensional path-independent lattices for all low-dimensional stochastic volatility models given in the literature, including SV, SV2, SVJ, SV2J, and SVJ2 models. We demonstrate that the prices of European options obtained using the path-independent lattices converge rapidly to their true prices obtained using quasi-analytical solutions. Our transform-based approach is computationally more efficient than all other methods given in the literature for a large class of low-dimensional stochastic volatility models. In ``A Multi-demensional Transform for Pricing American Options Under Levy Models", We extend the multi-dimensional transform to Levy models with stochastic volatility and jumps in the underlying stock price process. Efficient path-independent tree can be constructed for both European and American options. Our path-independent lattice method can be applied to almost all Levy models in the literature, such as Merton (1976), Bates (1996, 2000, 2006), Pan (2002), the NIG model, the VG model and the CGMY model. The numerical results show that our method is extemly accurate and fast. In ``Empirical performance of Levy models for American Options", we investigate in-sample fitting and out-of-sample pricing performance on American call options under Levy models. The drawback of the BS model has been well documented in the literatures, such as negative skewness with excess kurtosis, fat tail, and non-normality. Therefore, many models have been proposed to resolve known issues associated the BS model. For example, to resolve volatility smile, local volatility, stochastic volatility, and diffusion with jumps have been considered in the literatures; to resolve non-normality, non-Markov processes have been considered, e.g., Poisson process, variance gamma process, and other type of Levy processes. One would ask: what is the gain from each of the generalized models? Or, which model is the best for option pricing? We address these problems by examining which model results in the lowest pricing error for American style contracts. For in-sample analysis, the rank (from best to worst) is Pan, CGMYsv, VGsv, Heston, CGMY, VG and BS. And for out-of-sample pricing performance, the rank (from best to worst) is CGMYsv, VGsv, Pan, Heston, BS, VG, and CGMY. Adding stochastic volatility and jump into a model improves American options pricing performance, but pure jump models are worse than the BS model in American options pricing. Our empirical results show that pure jump model are over-fitting, but not improve American options pricing when they are applied to out-of-sample data.

Essays In Volatility Modeling And Option Pricing

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Author : Mathieu Fournier
language : en
Publisher:
Release Date : 2014

Essays In Volatility Modeling And Option Pricing written by Mathieu Fournier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.

Essays On Derivatives Pricing Theory

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Author : Ronald C. Heynen
language : en
Publisher:
Release Date : 1995

Essays On Derivatives Pricing Theory written by Ronald C. Heynen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.

Essays On The Specification Testing For Dynamic Asset Pricing Models

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Author : Jaeho Yun
language : en
Publisher:
Release Date : 2009

Essays On The Specification Testing For Dynamic Asset Pricing Models written by Jaeho Yun and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.

This dissertation consists of three essays on the subjects of specification testing on dynamic asset pricing models. In the first essay (with Yongmiao Hong), "A Simulation Test for Continuous-Time Models," we propose a simulation method to implement Hong and Li's (2005) transition density-based test for continuous-time models. The idea is to simulate a sequence of dynamic probability integral transforms, which is the key ingredient of Hong and Li's (2005) test. The proposed procedure is generally applicable whether or not the transition density of a continuous-time model has a closed form and is simple and computationally inexpensive. A Monte Carlo study shows that the proposed simulation test has very similar sizes and powers to the original Hong and Li's (2005) test. Furthermore, the performance of the simulation test is robust to the choice of the number of simulation iterations and the number of discretization steps between adjacent observations. In the second essay (with Yongmiao Hong), "A Specification Test for Stock Return Models," we propose a simulation-based specification testing method applicable to stochastic volatility models, based on Hong and Li (2005) and Johannes et al. (2008). We approximate a dynamic probability integral transform in Hong and Li' s (2005) density forecasting test, via the particle filters proposed by Johannes et al. (2008). With the proposed testing method, we conduct a comprehensive empirical study on some popular stock return models, such as the GARCH and stochastic volatility models, using the S&P 500 index returns. Our empirical analysis shows that all models are misspecified in terms of density forecast. Among models considered, however, the stochastic volatility models perform relatively well in both in- and out-of-sample. We also find that modeling the leverage effect provides a substantial improvement in the log stochastic volatility models. Our value-at-risk performance analysis results also support stochastic volatility models rather than GARCH models. In the third essay (with Yongmiao Hong), "Option Pricing and Density Forecast Performances of the Affine Jump Diffusion Models: the Role of Time-Varying Jump Risk Premia," we investigate out-of-sample option pricing and density forecast performances for the affine jump diffusion (AJD) models, using the S&P 500 stock index and the associated option contracts. In particular, we examine the role of time-varying jump risk premia in the AJD specifications. For comparison purposes, nonlinear asymmetric GARCH models are also considered. To evaluate density forecasting performances, we extend Hong and Li's (2005) specification testing method to be applicable to the famous AJD class of models, whether or not model-implied spot volatilities are available. For either case, we develop (i) the Fourier inversion of the closed-form conditional characteristic function and (ii) the Monte Carlo integration based on the particle filters proposed by Johannes et al. (2008). Our empirical analysis shows strong evidence in favor of time-varying jump risk premia in pricing cross-sectional options over time. However, for density forecasting performances, we could not find an AJD specification that successfully reconcile the dynamics implied by both time-series and options data.

Essays On Empirical Performance Of Affine Jump Diffusion Option Pricing Models

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Author : Xiang Zhang
language : en
Publisher:
Release Date : 2012

Essays On Empirical Performance Of Affine Jump Diffusion Option Pricing Models written by Xiang Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Economic forecasting categories.

Essays On Equilibrium Valuation Of Options Theorem And Empirical Estimates

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Author : Melanie Cao
language : en
Publisher:
Release Date : 1997

Essays On Equilibrium Valuation Of Options Theorem And Empirical Estimates written by Melanie Cao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.

This thesis consists of three essays which study the valuation of options in an equilibrium framework. The first essay uses a general equilibrium model to study the valuation of options on the market portfolio with predictable returns and stochastic volatility in a complete market. In a closed endowment economy where aggregate dividend is the only source of uncertainty, I investigate why the stock return exhibits certain predictable features. I also examine the equilibrium relationship between the price of the market portfolio and its volatility, as well as the relationship between the spot interest rate and the market volatility. Equilibrium conditions imply that the predictable feature of the market portfolio is induced by the mean-reverting of the rate of dividend growth. It is shown that there is strong interdependence between the stock price process and its volatility process. Using the Euler equation, I derive equilibrium pricing formulas for options on the market portfolio which incorporate both stochastic volatility and stochastic interest rates. Since there is only one source of uncertainty, this model preserves the completeness feature for hedging and risk management purposes. With realistic parameter values, numerical examples show that stochastic volatility and stochastic interest rates are both necessary for correcting the Black-Scholes pricing biases. The second essay focuses on the currency options in an incomplete market where the economy is subject to shocks in aggregate dividend and money supply. The key feature is that the exchange rate exhibits systematic jump risks which should be priced in the currency options. The closed-endowment equilibrium model in the first essay is extended to a small open monetary economy with stochastic jump-diffusion processes for both the money supply and aggregate dividend. It is shown that the exchange rate is affected by both government monetary policies and aggregate dividends. Since the jump in the exchange rate is correlated with aggregate consumption, the jump risk in the exchange rate derived from aggregate consumption must be priced by means of utility maximization. I further derive the foreign agents' risk-neutral valuation of the European currency option and provide restrictions that ensure the law of one price in currency option pricing. In general, these restrictions depend on the agent's risk preference. The objective of the third essay is to empirically study the existence of systematic jump risks in exchange rates and analyze their importance for currency option pricing. The empirical study is based on the theoretical model studied in the second essay, which argues that exchange rates are inherently correlated with the market and so must exhibit systematic jump risks. The third essay uses the maximum-likelihood method to estimate the joint distribution of exchange rates and the price of the market portfolio. Empirical results show that it is important to incorporate both systematic and non-systematic jump components in exchange rates in order to correctly price currency options.

Essays On Multivariate Stochastic Volatility Models

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Author : Sebastian Trojan
language : en
Publisher:
Release Date : 2015

Essays On Multivariate Stochastic Volatility Models written by Sebastian Trojan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.

The first essay describes a very general stochastic volatility (SV) model specification with leverage, heavy tails, skew and switching regimes, using realized volatility (RV) as an auxiliary time series to improve inference on latent volatility. The information content of the range and of implied volatility using the VIX index is also analyzed. Database is the S & P 500 index. Asymmetry in the observation error is modeled by the generalized hyperbolic skew Student-t distribution, whose heavy and light tail enable substantial skewness. Resulting number of regimes and dynamics differ dependent on the auxiliary volatility proxy and are investigated in-sample for the financial crash period 2008/09 in more detail. An out-of-sample study comparing predictive ability of various model variants for a calm and a volatile period yields insights about the gains on forecasting performance from different volatility proxies. Results indicate that including RV or the VIX pays off mostly in more volatile market conditions, whereas in calmer environments SV specifications using no auxiliary series outperform. The range as volatility proxy provides a superior in-sample fit, but its predictive performance is found to be weak. The second essay presents a high frequency stochastic volatility model. Price duration and associated absolute price change in event time are modeled contemporaneously to fully capture volatility on the tick level, combining the SV and stochastic conditional duration (SCD) model. Estimation is with IBM stock intraday data 2001/10 (decimalization completed), taking a minimum midprice threshold of a half tick. Persistent information flow is extracted, featuring a positively correlated innovation term and negative cross effects in the AR(1) persistence matrix. Additionally, regime switching in both duration and absolute price change is introduced to increase nonlinear capabilities of the model. Thereby, a separate price jump.

Essays On Stochastic Volatility And Jumps

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Author : Ke Chen (Economist)
language : en
Publisher:
Release Date : 2013

Essays On Stochastic Volatility And Jumps written by Ke Chen (Economist) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.

This thesis studies a few different finance topics on the application and modelling of jump and stochastic volatility process. First, the thesis proposed a non-parametric method to estimate the impact of jump dependence, which is important for portfolio selection problem. Comparing with existing literature, the new approach requires much less restricted assumption on the jump process, and estimation results suggest that the economical significance of jumps is largely mis-estimated in portfolio optimization problem. Second, this thesis investigates the time varying variance risk premium, in a framework of stochastic volatility with stochastic jump intensity. The proposed model considers jump intensity as an extra factor which is driven by realized jumps, in addition to a stochastic volatility model. The results provide strong evidence of multiple factors in the market and show how they drive the variance risk premium. Thirdly, the thesis uses the proposed models to price options on equity and VIX consistently. Based on calibrated model parameters, the thesis shows how to calculate the unconditional correlation of VIX future between different maturities.

Essays On Stochastic Volatility And Random Field Models In Finance

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Author :
language : en
Publisher:
Release Date : 2006

Essays On Stochastic Volatility And Random Field Models In Finance written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.