This book is a practitioner's guide for readers who already have a basic understanding of risk management. Statistical ideas are presented by detailing the necessary concepts and outlining how these methods can be implemented. The book differentiates itself from other energy risk books on the mark
Energy Risk Modeling: Applied Modeling Methods for Risk Managers
โ Scribed by Nigel Da Costa Lewis (auth.)
- Publisher
- Palgrave Macmillan UK
- Year
- 2005
- Tongue
- English
- Leaves
- 263
- Series
- Finance and Capital Markets Series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages i-xix
The Statistical Nature of Energy Risk Modeling....Pages 1-17
Front Matter....Pages 19-19
Introduction to Applied Probability for Energy Risk Management....Pages 21-40
Descriptive Statistics of Energy Prices and Returns....Pages 41-52
Inferential Statistical Methods for Energy Risk Managers....Pages 53-62
Front Matter....Pages 63-64
Modeling and Fitting Price Distributions....Pages 65-106
Nonparametric Density Estimation for Energy Price Returns....Pages 107-124
Correlation Analysis....Pages 125-150
A Primer in Applied Regression Analysis....Pages 151-168
Multiple Regression and Prediction....Pages 169-178
Misspecification Testing....Pages 179-186
Non-linear and Limited Dependent Regression....Pages 187-195
Modeling Energy Price Volatility....Pages 196-212
Stochastic Differential Equations for Derivative Pricing and Energy Risk Management....Pages 213-226
Back Matter....Pages 227-247
โฆ Subjects
Business Finance; Risk Management; Investments and Securities
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