This book presents practical Risk Management and Trading applications for the Electricity Markets. Various methodologies developed over the last few years are considered and current literature is reviewed. The book emphasizes the relationship between trading, hedging and generation asset management.
Quantitative Methods for Electricity Trading and Risk Management: Advanced Mathematical and Statistical Methods for Energy Finance
โ Scribed by Stefano Fiorenzani (auth.)
- Publisher
- Palgrave Macmillan UK
- Year
- 2006
- Tongue
- English
- Leaves
- 188
- 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-xiii
Front Matter....Pages 1-1
Liberalized Electricity Markets Organization....Pages 3-7
Electricity Price Driving Factors....Pages 8-18
Electricity Spot Price Dynamics and Statistical Features....Pages 19-36
Front Matter....Pages 37-37
Electricity Modeling: General Features....Pages 39-42
Econometric Modeling of Electricity Prices....Pages 43-50
Probabilistic Modeling of Electricity Prices....Pages 51-67
Front Matter....Pages 69-69
Electricity Derivatives: Main Typologies....Pages 71-82
Electricity Derivatives: Valuation Problems....Pages 83-94
Electricity Derivatives: Numerical Methods for Derivatives Pricing....Pages 95-108
Front Matter....Pages 109-109
Financial Optimization of Power Generation Activity....Pages 111-126
Framing and Solving the Optimization Problem....Pages 127-141
Front Matter....Pages 143-143
Risk Definition and Mapping....Pages 145-151
Risk Measurement Methods....Pages 152-164
Risk-Adjusted Planning in the Electricity Industry....Pages 165-175
Back Matter....Pages 176-181
โฆ Subjects
Macroeconomics/Monetary Economics//Financial Economics; Risk Management; Business Finance; Investments and Securities
๐ SIMILAR VOLUMES
<p><b>The mathematical and statistical tools needed in the rapidly growing quantitative finance field</b><p>With the rapid growth in quantitative finance, practitioners must achieve a high level of proficiency in math and statistics. <i>Mathematical Methods and Statistical Tools for Finance</i>, par
<b>The mathematical and statistical tools needed in the rapidly growing quantitative finance field</b><p>With the rapid growth in quantitative finance, practitioners must achieve a high level of proficiency in math and statistics. <i>Mathematical Methods and Statistical Tools for Finance</i>, part o