04669nam a22006015i 4500 978-981-99-9534-9 DE-He213 20251030112310.0 cr nn 008mamaa 240612s2024 si | s |||| 0|eng d 9789819995349 978-981-99-9534-9 10.1007/978-981-99-9534-9 doi TA342-343 PBWH bicssc TBJ bicssc MAT003000 bisacsh PBWH thema TBJ thema Chan, Raymond H. author. aut http://id.loc.gov/vocabulary/relators/aut 78646 Financial Mathematics, Derivatives and Structured Products [electronic resource] / by Raymond H. Chan, Yves ZY. Guo, Spike T. Lee, Xun Li. 2nd ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XXVII, 480 p. 119 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Introduction to Financial Markets -- Interest Rate Instruments -- Equities and Equity Indices -- Foreign Exchange Instruments -- Commodities -- Credit Derivatives -- Investment Funds -- Options -- Elements of Probability -- Stochastic Calculus Part I -- Black–Scholes–Merton Model for Option Pricing -- Stochastic Calculus Part II -- Risk-Neutral Pricing Framework -- Numerical Methods for Option Pricing -- American Options -- Exotic Options Pricing and Hedging -- Num´eraires and the Pricing of Vanilla Interest Rate Options -- Foreign Exchange Modelling -- Local, Stochastic Volatility Models, Static Hedging and Variance Swap -- Jump-diffusion Models -- Interest Rate Term Structure Modelling -- Credit Modelling -- Commodity Modelling -- Structured Products -- Popular Structured Products -- Dynamic Asset Allocation -- Systematic Strategy. This book introduces readers to the financial markets, derivatives, structured products and how the products are modelled and implemented by practitioners. In addition, it equips readers with the necessary knowledge of financial markets needed in order to work as product structurers, traders, sales or risk managers. This second edition substantially extends, updates and clarifies the previous edition. New materials and enhanced contents include, but not limited to, the role of central counterparties for derivatives transactions, the reference rates to replace LIBOR, risk-neutral modelling for futures and forward, discussions and analysis on risk-neutral framework and numéraires, discrete dividend modelling, variance reduction techniques for Monte Carlo method, finite difference method analysis, tree method, FX modelling, multi-name credit derivatives modelling, local volatility model, forward variance model and local-stochastic volatility model to reflect market practice. As the book seeks to unify the derivatives modelling and the financial engineering practice in the market, it will be of interest to financial practitioners and academic researchers alike. The book can also be used as a textbook for the following courses: • Financial Mathematics (undergraduate level) • Stochastic Modelling in Finance (postgraduate level) • Financial Markets and Derivatives (undergraduate level) • Structured Products and Solutions (undergraduate/postgraduate level). Mathematical models. 66910 Probabilities. 65724 Finance. 58339 Statistics . 65982 Mathematical Modeling and Industrial Mathematics. 66912 Probability Theory. 67428 Financial Economics. 69737 Statistics in Business, Management, Economics, Finance, Insurance. 69738 Guo, Yves ZY. author. aut http://id.loc.gov/vocabulary/relators/aut 78647 Lee, Spike T. author. aut http://id.loc.gov/vocabulary/relators/aut 78648 Li, Xun. author. aut http://id.loc.gov/vocabulary/relators/aut 78649 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819995332 Printed edition: 9789819995356 Printed edition: 9789819995363 https://doi.org/10.1007/978-981-99-9534-9 ZDB-2-SMA ZDB-2-SXMS 60703 60703