Efficient Optimization Algorithms for Pricing Energy Derivatives and Standard Vanilla Options

Efficient Optimization Algorithms for Pricing Energy Derivatives and Standard Vanilla Options
Author: Valeriy V. Ryabchenko
Publisher:
Total Pages:
Release: 2008
Genre:
ISBN:

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Our second study considered a regression approach to pricing European options in an incomplete market. The algorithm replicates an option by a portfolio consisting of the underlying security and a risk-free bond. We apply linear regression framework and quadratic programming with linear constraints (input = sample paths of underlying security; output = table of option prices as a function of time and price of the underlying security). We populate the model with historical prices of the underlying security (possibly massaged to the present volatility) or with Monte Carlo simulated prices. Risk neutral processes or probabilities are not needed in this framework.

Efficient Pricing of Energy Derivatives

Efficient Pricing of Energy Derivatives
Author: Anders B. Trolle
Publisher:
Total Pages: 21
Release: 2016
Genre:
ISBN:

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I present a tractable framework, first developed in Trolle and Schwartz (2009), for pricing energy derivatives in the presence of unspanned stochastic volatility. Among the model features are i) a perfect fit to the initial futures term structure, ii) a fast and accurate Fourier-based pricing formula for European-style options on futures contracts, enabling efficient calibration to liquid plain-vanilla exchange-traded derivatives, and iii) the evolution of the futures curve being described in terms of a low-dimensional affine state vector, making the model ideally suited for pricing complex energy derivatives and real options by simulation. I also consider an extension of the framework that takes jumps in spot prices into account.

Computational Methods for Option Pricing

Computational Methods for Option Pricing
Author: Yves Achdou
Publisher: SIAM
Total Pages: 315
Release: 2005-01-01
Genre: Technology & Engineering
ISBN: 9780898717495

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The authors review some important aspects of finance modeling involving partial differential equations and focus on numerical algorithms for the fast and accurate pricing of financial derivatives and for the calibration of parameters. This book explores the best numerical algorithms and discusses them in depth, from their mathematical analysis up to their implementation in C++ with efficient numerical libraries.

Energy Power Risk

Energy Power Risk
Author: George Levy
Publisher: Emerald Group Publishing
Total Pages: 344
Release: 2018-12-10
Genre: Computers
ISBN: 178743527X

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The book describes both mathematical and computational tools for energy and power risk management, deriving from first principles stochastic models for simulating commodity risk and how to design robust C++ to implement these models.

Energy Derivatives

Energy Derivatives
Author: Les Clewlow
Publisher: Twayne Publishers
Total Pages: 246
Release: 2000
Genre: Derivative securities
ISBN: 9780953889600

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Option Pricing and Estimation of Financial Models with R

Option Pricing and Estimation of Financial Models with R
Author: Stefano M. Iacus
Publisher: John Wiley & Sons
Total Pages: 402
Release: 2011-02-23
Genre: Business & Economics
ISBN: 1119990203

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Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.

Commodity Price Dynamics

Commodity Price Dynamics
Author: Craig Pirrong
Publisher: Cambridge University Press
Total Pages: 238
Release: 2011-10-31
Genre: Business & Economics
ISBN: 1139501976

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Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.

Energy and Power Risk Management

Energy and Power Risk Management
Author: Alexander Eydeland
Publisher: John Wiley & Sons
Total Pages: 506
Release: 2003-02-03
Genre: Business & Economics
ISBN: 0471455873

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Praise for Energy and Power Risk Management "Energy and Power Risk Management identifies and addresses the key issues in the development of the turbulent energy industry and the challenges it poses to market players. An insightful and far-reaching book written by two renowned professionals." -Helyette Geman, Professor of Finance University Paris Dauphine and ESSEC "The most up-to-date and comprehensive book on managing energy price risk in the natural gas and power markets. An absolute imperative for energy traders and energy risk management professionals." -Vincent Kaminski, Managing Director Citadel Investment Group LLC "Eydeland and Wolyniec's work does an excellent job of outlining the methods needed to measure and manage risk in the volatile energy market." -Gerald G. Fleming, Vice President, Head of East Power Trading, TXU Energy Trading "This book combines academic rigor with real-world practicality. It is a must-read for anyone in energy risk management or asset valuation." -Ron Erd, Senior Vice President American Electric Power