Stochastic Finance Год выпуска: 2005Издательство: Страниц: 370ISBN: 0387282629Описание Since the pioneering work of Black, Scholes, and Merton in the field of financial mathematics, research has led to the rapid development of a substantial body of knowledge, with plenty of applications to the common functioning of the world’s financial institutions. Mathematics, as the language of science, has always played a role in the development of knowledge and technology. Presently, the high-tech character of modern business has increased the need for advanced methods, which rely to a large extent on mathematical techniques. It has become essential for the financial analyst to possess a high degree of proficiency in these mathematical techniques.
Похожие книги
Advanced Trading Rules (Quantitative Finance Series). – М.: , 0. – 0 с. Damiano Brigo, Fabio Mercurio. Interest Rate Models - Theory and Practice: With Smile, Inflation and Credit (Springer Finance). – М.: Springer, 2006. – 982 с. Mario J. Miranda, Paul L. Fackler. Applied Computational Economics and Finance. – М.: , 0. – 0 с. Jacques Janssen, Christos H. Skiadas, Constantin Zopounidis. Advances in Stochastic Modelling and Data Analysis. – М.: , 0. – 0 с. Erricos John Kontoghiorghes, Berc Rustem, Stavros Siokos. Computational Methods in Decision-Making, Economics and Finance (Applied Optimization, 74). – М.: , 0. – 0 с. Haim Levy, Myles Robinson. Stochastic Dominance: Investment Decision Making Under Uncertainty (Studies in Risk and Uncertainty). – М.: , 0. – 0 с. Fabio Fornari, Antonio Mele. Stochastic Volatility in Financial Markets: Crossing the Bridge to Continuous Time (Dynamic Modeling and Econometrics in Economics and Finance). – М.: , 0. – 0 с. A. G. Malliaris, William A. Brock. Stochastic Methods in Economics and Finance (Handbooks in Economics). – М.: , 0. – 0 с. Mark S. Joshi. The Concepts and Practice of Mathematical Finance. – М.: Cambridge University Press, 2004. – 492 с. Paul Glasserman. Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability). – М.: Springer, 2005. – 616 с. Paolo Brandimarte. Numerical Methods in Finance: A MATLAB-Based Introduction. – М.: , 0. – 0 с. Thomas Mikosch. Elementary Stochastic Calculus With Finance in View (Advanced Series on Statistical Science & Applied Probability, Vol 6). – М.: , 0. – 0 с. Albert N. Shiriaev. Essentials of Stochastic Finance: Facts, Models, Theory. – М.: , 0. – 0 с. L. C. G. Rogers, D. Talay. Numerical Methods in Finance (Publications of the Newton Institute). – М.: , 0. – 0 с. N. H. Bingham, Rudiger Kiesel, Nicholas Bingham. Risk-Neutral Valuation: Pricing and Hedging of Financial Derivitives (Springer Finance). – М.: , 2004. – 0 с. Hans Follmer. Stochastic Finance: An Introduction In Discrete Time 2 (De Gruyter Studies in Mathematics). – М.: , 2004. – 0 с. Jacques Janssen, Raimondo Manca, Ernesto Volpe. Mathematical Finance: Stochastic Models. – М.: , 2008. – 352 с. Образцы работ
Задайте свой вопрос по вашей теме
Контакты
Поделиться
Мы в социальных сетях
Реклама
Отзывы
Светлана Спасибо за сопровождение дипломной работы, ее оценили на "отлично", защитилась на четверку! Спасибо за помощь!
