Advanced Mathematical Methods for Finance 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Advanced Mathematical Methods for Finance

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Oksendal, Bernt 編 作者
譯者
出版日期
536 頁數
$ 134.47 價格
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9783642184116 圖書編碼

Advanced Mathematical Methods for Finance 在線電子書 圖書標籤: 數學  for  Springer  Methods  Mathematical  Finance  Advanced   


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發表於2024-07-06

Advanced Mathematical Methods for Finance 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Advanced Mathematical Methods for Finance 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Advanced Mathematical Methods for Finance 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Advanced Mathematical Methods for Finance 在線電子書 著者簡介

Giulia Di Nunno and Bernt Øksendal are professors at the University of Oslo. Their work in stochastic analysis, control, and mathematical finance is internationally highly appreciated. They have been chairing the leadership of the large European ESF funded networking program AMaMeF in financial mathematics.


Advanced Mathematical Methods for Finance 在線電子書 著者簡介


Advanced Mathematical Methods for Finance 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Advanced Mathematical Methods for Finance 在線電子書 圖書描述

This book presents innovations in the mathematical foundations of financial analysis and numerical methods for finance and applications to the modeling of risk. The topics selected include measures of risk, credit contagion, insider trading, information in finance, stochastic control and its applications to portfolio choices and liquidation, models of liquidity, pricing, and hedging. The models presented are based on the use of Brownian motion, Lévy processes and jump diffusions. Moreover, fractional Brownian motion and ambit processes are also introduced at various levels. The chosen blend of topics gives an overview of the frontiers of mathematics for finance. New results, new methods and new models are all introduced in different forms according to the subject. Additionally, the existing literature on the topic is reviewed. The diversity of the topics makes the book suitable for graduate students, researchers and practitioners in the areas of financial modeling and quantitative finance. The chapters will also be of interest to experts in the financial market interested in new methods and products. This volume presents the results of the European ESF research networking program Advanced Mathematical Methods for Finance.

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