000			01981nam a22002177a 4500
999			_c3537 _d3537
005			20221114132348.0
008			221114b ||||| |||| 00| 0 eng d
020			_a9781441918222
082			_a658.15501519282 _bGLA
100			_aGlasserman, Paul _94816
245			_aMonte carlo methods in financial engineering
260			_bSpringer _aSwitzerland _c2003
300			_axiii, 596 p.
365			_aEURO _b56.99
520			_aAbout this book Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques. This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios. The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential. The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.
650			_aFinancial engineering _95916
650			_aMonte Carlo method _95215
650			_aDerivative securities _9463
650			_aMathematical statistics _9837
942			_2ddc _cBK