Advanced Mathematical Methods for Finance is popular PDF and ePub book, written by Julia Di Nunno in 2011-03-29, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Advanced Mathematical Methods for Finance can be Read Online from any device for your convenience.

Advanced Mathematical Methods for Finance Book PDF Summary

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.

Detail Book of Advanced Mathematical Methods for Finance PDF

Advanced Mathematical Methods for Finance
  • Author : Julia Di Nunno
  • Release : 29 March 2011
  • Publisher : Springer Science & Business Media
  • ISBN : 9783642184123
  • Genre : Mathematics
  • Total Page : 532 pages
  • Language : English
  • PDF File Size : 19,7 Mb

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