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Titlebook: Quantitative Methods for Electricity Trading and Risk Management; Advanced Mathematica Stefano Fiorenzani Book 2006 Stefano Fiorenzani 2006

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發(fā)表于 2025-3-21 19:09:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Quantitative Methods for Electricity Trading and Risk Management
副標(biāo)題Advanced Mathematica
編輯Stefano Fiorenzani
視頻videohttp://file.papertrans.cn/781/780901/780901.mp4
叢書名稱Finance and Capital Markets Series
圖書封面Titlebook: Quantitative Methods for Electricity Trading and Risk Management; Advanced Mathematica Stefano Fiorenzani Book 2006 Stefano Fiorenzani 2006
描述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.
出版日期Book 2006
關(guān)鍵詞asset management; derivatives; Hedging; methods; Options; Risk Management; investments and securities
版次1
doihttps://doi.org/10.1057/9780230598348
isbn_softcover978-1-349-52221-7
isbn_ebook978-0-230-59834-8Series ISSN 2946-2010 Series E-ISSN 2946-2029
issn_series 2946-2010
copyrightStefano Fiorenzani 2006
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發(fā)表于 2025-3-21 22:32:44 | 只看該作者
Book 2006This 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.
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Probabilistic Modeling of Electricity Pricesnd Mandelbroat, or even at the beginning of the twentieth century with Bachelier. However, we can observe its massive diffusion after the publication of the famous Black–Scholes and Merton articles (1973) on option pricing and the subsequent growing importance of derivative pricing problems in financial economics.
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Electricity Derivatives: Main Typologiesigh-risk level is not always compatible with agents’ risk attitudes, and hence derivative instruments represent a necessary tool to reconcile agents’ economic exigencies with electricity markets’ natural characteristics.
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