Monte Carlo Methods in Financial Engineering (Record no. 13644)

MARC details
000 -LEADER
fixed length control field 03222nmm a22003375i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230705150637.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130105s2003 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387216171
-- 978-0-387-21617-1
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Glasserman, Paul.
9 (RLIN) 20468
245 ## - TITLE STATEMENT
Title Monte Carlo Methods in Financial Engineering
Medium [electronic resource] /
Statement of responsibility, etc. by Paul Glasserman.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2003.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York, NY :
Name of publisher, distributor, etc. Springer New York :
-- Imprint: Springer,
Date of publication, distribution, etc. 2003.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 596 p. 4 illus.
Other physical details online resource.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1 Foundations -- 2 Generating Random Numbers and Random Variables -- 3 Generating Sample Paths -- 4 Variance Reduction Techniques -- 5 Quasi-Monte Carlo -- 6 Discretization Methods -- 7 Estimating Sensitivities -- 8 Pricing American Options -- 9 Applications in Risk Management -- A Appendix: Convergence and Confidence Intervals -- A.1 Convergence Concepts -- A.2 Central Limit Theorem and Confidence Intervals -- B Appendix: Results from Stochastic Calculus -- B.1 ItĂ´'s Formula -- B.2 Stochastic Differential Equations -- B.3 Martingales -- B.4 Change of Measure -- C Appendix: The Term Structure of Interest Rates -- C.1 Term Structure Terminology -- C.2 Interest Rate Derivatives -- References.
520 ## - SUMMARY, ETC.
Summary, etc. 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics.
9 (RLIN) 20469
Topical term or geographic name entry element Finance, Public.
9 (RLIN) 20470
Topical term or geographic name entry element Probabilities.
9 (RLIN) 20471
Topical term or geographic name entry element Social sciences-Mathematics.
9 (RLIN) 20472
Topical term or geographic name entry element Statistics .
9 (RLIN) 20473
Topical term or geographic name entry element Econometrics.
9 (RLIN) 20474
Topical term or geographic name entry element Applications of Mathematics.
9 (RLIN) 20475
Topical term or geographic name entry element Public Economics.
9 (RLIN) 20476
Topical term or geographic name entry element Probability Theory.
9 (RLIN) 20477
Topical term or geographic name entry element Mathematics in Business, Economics and Finance.
9 (RLIN) 20478
Topical term or geographic name entry element Statistical Theory and Methods.
9 (RLIN) 20479
Topical term or geographic name entry element Quantitative Economics.
9 (RLIN) 20480
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-0-387-21617-1">https://doi.org/10.1007/978-0-387-21617-1</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online 2023-07-05 Infokart India Pvt. Ltd., New Delhi   519 EB1416 2023-07-05 2023-07-05 e-Book