TY - BOOK ID - 65535088 TI - Financial models in production AU - Kettani, Othmane AU - Reghai, Adil PY - 2020 SN - 3030574962 3030574954 PB - Springer International Publishing DB - UniCat KW - Probabilities. KW - Bank marketing. KW - Applied mathematics. KW - Engineering mathematics. KW - Computer simulation. KW - Probability Theory and Stochastic Processes. KW - Financial Services. KW - Applications of Mathematics. KW - Simulation and Modeling. KW - Computer modeling KW - Computer models KW - Modeling, Computer KW - Models, Computer KW - Simulation, Computer KW - Electromechanical analogies KW - Mathematical models KW - Simulation methods KW - Model-integrated computing KW - Engineering KW - Engineering analysis KW - Mathematical analysis KW - Banks and banking KW - Marketing of bank services KW - Marketing of banking services KW - Marketing KW - Probability KW - Statistical inference KW - Combinations KW - Mathematics KW - Chance KW - Least squares KW - Mathematical statistics KW - Risk KW - Bank management. KW - Bank liquidity. KW - Risk management. KW - Agricultural banks KW - Banking KW - Banking industry KW - Commercial banks KW - Depository institutions KW - Finance KW - Financial institutions KW - Money KW - Liquidity (Economics) KW - Management UR - https://www.unicat.be/uniCat?func=search&query=sysid:65535088 AB - This book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes. It shows how to put these models into use in production while minimizing the cost of implementation and maximizing robustness and control. Addressing some of the most important and cutting-edge issues, it describes how to build the necessary models in order to risk manage all the costs involved in options fabrication within the world of equity derivatives and hybrids. This is achieved by extending classical models and improving them in order to account for complex features. The book is primarily aimed at market practitioners (traders, risk managers, risk control, top managers), as well as Masters students in Quantitative/Mathematical Finance. It will also be useful for instructors hoping to enrich their courses with practical examples. The prerequisites are basic stochastic calculus and a general knowledge of financial markets and financial derivatives. . ER -