02548cam a22003138i 450000100090000000300040000900500170001300800410003001000170007102000180008804000330010604200080013905000220014708200210016910000250019024500800021525000120029526300090030726400470031633600260036333700280038933800270041749000620044450400410050652016010054765000340214865000250218265000270220721498957OSt20220418151914.0200414s2020    nyu      b    000 0 eng    a  2020014571  a9780367492939  aDLCbengerdacAIMIT LIBRARY  apcc00aHG106b.C656 202000a519.72 21bCESF  aCesarone, Francesco.00aComputational finance :bMATLAB oriented modeling /cBy Francesco Cesarone.  a1st ed.  a2007 1aNew York :bRoutledge-Giappichelli,c2020.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier0 aRoutledge-Giappichelli studies in business and management  aIncludes bibliographical references.  a"Computational Finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available. Consequently, we need to rely on computational techniques and specific numerical algorithms. This book combines theoretical concepts with practical implementation. Furthermore, the numerical solution of models is exploited, both to enhance the understanding of some mathematical and statistical notions, and to acquire sound programming skills in MATLAB®, which is useful for several other programming languages also. The material assumes the reader has a relatively limited knowledge of mathematics, probability and statistics. Hence, the book contains a short description of the fundamental tools needed to address the two main fields of quantitative finance: portfolio selection and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio selection, where the author includes an overview of recent approaches. The book gradually takes the reader from a basic to medium level of expertise by using examples and exercises to simplify the understanding of complex models in Finance, giving them the ability to place financial models in a computational setting. The book is ideal for courses focusing on quantitative finance, asset management, mathematical methods for economics and finance, investment banking, and corporate finance"--cProvided by publisher. 0aFinancexMathematical models. 0aFinancevStatistics. 0aFinancial engineering.