This book summarizes theoretical developments inspired by statistical physics in the description of financial markets.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
'... provides a very useful stepping stone to understand the limitations of the Black-Scholes world to that of a more generalized theory of financial markets ... Bouchard and Potters will then provide the reader with an insight and generalization that they may otherwise miss with direct application of more 'traditional' theory to the financial markets. To the experienced reader of financial theory, the book provides a useful reminder of the limitations of traditional theories and a number of useful tools that can be used in the more generalized world of financial risk.' David A. Scott C. Math.FIMA, Mathematics Today
'This book does not try to be a comprehensive text on theoretical finance, but instead picks out classical problems in finance that are overlooked by the generalizations introduced by beautiful, ideal models such as the Black and Scholes model and discusses tools, concepts and paradigms of statistical finance that can contribute to the resolution of such problems ... However, given the themes treated by the book and the expertise and knowledge of the authors, Theory of Financial Risks should certainly find a place on the bookshelves of professionals in risk management who are interested in new quantitative methods of risk minimization.' Rosario Mantegna, Institute of Physics
' ... addresses the expert who is interested in statistical properties of financial time series and the problem of constructing 'good' hedge strategies in the presence of unavoidable residual risk.' Zentralblatt für Mathematik und ihre Grenzgebiete Mathematics Abstracts
Summarizes recent theoretical developments inspired by statistical physics in the description of the potential moves in financial markets, and its application to derivative pricing and risk control. Of interest to physicists, quantitative analysts in financial institutions, risk managers and graduate students in mathematical finance.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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