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A Nonparametric Approach for Value-at-risk and Option Pricing

A Nonparametric Approach for Value-at-risk and Option Pricing PDF Author: Bou-Wen Lin
Publisher:
ISBN:
Category :
Languages : en
Pages : 168

Book Description


A Nonparametric Approach for Value-at-risk and Option Pricing

A Nonparametric Approach for Value-at-risk and Option Pricing PDF Author: Bou-Wen Lin
Publisher:
ISBN:
Category :
Languages : en
Pages : 168

Book Description


Nonparametric Risk Management and Implied Risk Aversion

Nonparametric Risk Management and Implied Risk Aversion PDF Author: Yacine Aït-Sahalia
Publisher:
ISBN:
Category : Equilibrium (Economics)
Languages : en
Pages : 64

Book Description


Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk PDF Author: Fahed Mostafa
Publisher: Springer
ISBN: 331951668X
Category : Technology & Engineering
Languages : en
Pages : 177

Book Description
This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean that they can be applied to market-risk problems to overcome classic problems associated with statistical models.

A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks

A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks PDF Author: James M. Hutchinson
Publisher:
ISBN:
Category : Derivative securities
Languages : en
Pages : 68

Book Description
We propose a nonparametric method for estimating derivative financial asset pricing formulae using learning networks. To demonstrate feasibility, we first simulate Black-Scholes option prices and show that learning networks can recover the Black-Scholes formula from a two-year training set of daily options prices, and that the resulting network formula can be used successfully to both price and delta-hedge options out-of-sample. For comparison, we estimate models using four popular methods: ordinary least squares, radial basis functions, multilayer perceptrons, and projection pursuit. To illustrate practical relevance, we also apply our approach to S & P 500 futures options data from 1987 to 1991. Option pricing, Learning, Finance, Black-Scholes, Hedging.

Option-Implied Risk-Neutral Distributions and Risk Aversion

Option-Implied Risk-Neutral Distributions and Risk Aversion PDF Author: Jens Carsten Jackwerth
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Handbook of Financial Econometrics

Handbook of Financial Econometrics PDF Author: Yacine Ait-Sahalia
Publisher: Elsevier
ISBN: 0080929842
Category : Business & Economics
Languages : en
Pages : 809

Book Description
This collection of original articles—8 years in the making—shines a bright light on recent advances in financial econometrics. From a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment, noted scholars Yacine Aït-Sahalia and Lars Peter Hansen benchmark the current state of knowledge while contributors build a framework for its growth. Whether in the presence of statistical uncertainty or the proven advantages and limitations of value at risk models, readers will discover that they can set few constraints on the value of this long-awaited volume. Presents a broad survey of current research—from local characterizations of the Markov process dynamics to financial market trading activity Contributors include Nobel Laureate Robert Engle and leading econometricians Offers a clarity of method and explanation unavailable in other financial econometrics collections

Handbook of Quantitative Finance and Risk Management

Handbook of Quantitative Finance and Risk Management PDF Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
ISBN: 0387771174
Category : Business & Economics
Languages : en
Pages : 1700

Book Description
Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.

An Actuarial Mathematics Approach to Option Pricing

An Actuarial Mathematics Approach to Option Pricing PDF Author: Filippo Fratini
Publisher:
ISBN:
Category :
Languages : en
Pages : 64

Book Description
We derive and test a new option pricing method based on statistics. We show how such a method allows to a) analytically price options with risk measures - such as Value-at-Risk or Expected Shortfall - on assets with stochastic volatility; and b) build several new structural models for the credit spread. We discuss how the method entails a new put-call parity relation, and how the option price is affected by the issuer's credit spread. Finally, we discuss several extensions to the formalism developed here, such as to assets with interdependencies, and to any model for the asset's returns distribution.

Rethinking Valuation and Pricing Models

Rethinking Valuation and Pricing Models PDF Author: Carsten Wehn
Publisher: Academic Press
ISBN: 0124158757
Category : Business & Economics
Languages : en
Pages : 658

Book Description
It is widely acknowledged that many financial modelling techniques failed during the financial crisis, and in our post-crisis environment many techniques are being reconsidered. This single volume provides a guide to lessons learned for practitioners and a reference for academics. Including reviews of traditional approaches, real examples, and case studies, contributors consider portfolio theory; methods for valuing equities and equity derivatives, interest rate derivatives, and hybrid products; and techniques for calculating risks and implementing investment strategies. Describing new approaches without losing sight of their classical antecedents, this collection of original articles presents a timely perspective on our post-crisis paradigm. Highlights pre-crisis best classical practices, identifies post-crisis key issues, and examines emerging approaches to solving those issues Singles out key factors one must consider when valuing or calculating risks in the post-crisis environment Presents material in a homogenous, practical, clear, and not overly technical manner

Market Expectations and Option Prices

Market Expectations and Option Prices PDF Author: Martin Mandler
Publisher: Springer Science & Business Media
ISBN: 3642574289
Category : Business & Economics
Languages : en
Pages : 227

Book Description
This book is a slightly revised version of my doctoral dissertation which has been accepted by the Department of Economics and Business Administration of the Justus-Liebig-Universitat Giessen in July 2002. I am indebted to my advisor Prof. Dr. Volbert Alexander for encouraging and supporting my research. I am also grateful to the second member of the doctoral committee, Prof. Dr. Horst Rinne. Special thanks go to Dr. Ralf Ahrens for providing part of the data and to my colleague Carsten Lang, who spent much time reading the complete first draft. Wetzlar, January 2003 Martin Mandler Contents 1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Part I Theoretical Foundations 2 Arbitrage Pricing and Risk-Neutral Probabilities........ .. 7 2.1 Arbitrage Pricing in the Black/Scholes-Merton Model... . . .. . 7 2.2 The Equivalent Martingale Measure and Risk-Neutral Valuation ............................................... 11 2.3 Extracting Risk-Neutral Probabilities from Option Prices. . . .. 13 2.4 Summary............................................... 15 Appendix 2A: The Valuation Function in the Black/Scholes-Merton Model .................................................. 16 Appendix 2B: Some Further Details on the Replication Strategy ... 21 3 Survey of the Related Literature .......................... 23 3.1 The Information Content of Forward and Futures Prices. . . .. . 24 3.2 The Information Content of Implied Volatilities ............. 25 3.2.1 Implied Volatilities and the Risk-Neutral Probability Density .......................................... 27 3.2.2 The Term Structure of Implied Volatilities. . . . . . . .. . . 29 . 3.2.3 The Forecasting Information in Implied Volatilities. . .. 30 3.2.4 Implied Correlations as Forecasts of Future Correlations 43 VIII Contents 3.3 The Skewness Premium ..... . . . . . . . . . . . . . . . . . . .. . . 45 . . . . . . .