Applied probabilistic calculus for financial engineering : (Record no. 60188)

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control field 19867290
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control field CITU
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006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 170807s2017 nju ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2017037530
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119388081 (pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119388043 (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119388050
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency DLC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng.
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HG176.7
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 332.01/5192
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Chan, B. K. C.
Fuller form of name (Bertram Kim-Cheong),
Relator term author.
245 10 - TITLE STATEMENT
Title Applied probabilistic calculus for financial engineering :
Remainder of title an introduction using R /
Statement of responsibility, etc by Bertram K.C. Chan.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, NJ :
Name of publisher, distributor, etc John Wiley & Sons, Inc.,
Date of publication, distribution, etc 2017.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (536 pages).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code nc
Source rdacarrier
500 ## - GENERAL NOTE
General note ABOUT THE AUTHOR<br/>BERTRAM K. C. CHAN, PhD, is Consulting Biostatistician at the Loma Linda University Health, School of Medicine, Loma Linda, CA. Dr. Chan is also Software Development and Forum Lecturer at the School of Public Health, LLUH Department of Biostatistics and Epidemiology.<br/><br/>
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - CONTENTS
Formatted contents note Preface<br/><br/>Dedication<br/><br/>Chapter 1: Introduction to Financial Engineering<br/><br/>1 Introduction to Financial Engineering<br/><br/>1.1 What is Financial Engineering?<br/><br/>1.2 The Meaning of the Title of this Book<br/><br/>1.3 The Continuing Challenge in Financial Engineering<br/><br/>1.4 “Financial Engineering 101”: Modern Portfolio Theory[2]<br/><br/>1.5 Asset Class Assumptions Modeling<br/><br/>1.6 Typical Examples of Proprietary Investment Funds<br/><br/>1.7 The Dow Jones Industrial Average (DJIA) and Inflation<br/><br/>1.8 Some Less Commendable Stock Investment Approaches<br/><br/>1.9 Developing Tools for Financial Engineering Analysis Solutions to Exercises in Chapter 1: <br/><br/>Chapter 2: Probabilistic Calculus for Modeling Financial Engineering<br/><br/>2.1 Introduction to Financial Engineering<br/><br/>2.2 Mathematical Modeling in Financial Engineering<br/><br/>2.3 Building an Effective Financial Model from GBM via Probabilistic Calculus<br/><br/>2.4 A Continuous Financial Model Using Probabilistic Calculus (Stochastic Calculus, Ito Calculus)<br/><br/>2.5 Numerical Examples of Representation of Financial Data Using R<br/><br/>Chapter 3: Classical Mathematical Models in Financial Engineering and Modern Portfolio Theory<br/><br/>3.0 An Introduction to the Cost of Money in the Financial Market<br/><br/>3.1 Modern Theories of Portfolio Optimization<br/><br/>3.2 The Black-Litterman Model<br/><br/>3.3 The Black-Scholes Option Pricing Model<br/><br/>Chapter 4: Data Analysis Using R Programming<br/><br/>4.1 Data and Processing<br/><br/>4.2 Beginning R<br/><br/>4.3 R as a Calculator<br/><br/>4.4 Using R in Data Analysis in Financial Engineering<br/><br/>4.5 Univariate, Bivariate, and Multivariate Data Analysis<br/><br/>Appendix 1: Documentation for the plot function<br/><br/>Special References for Chapter 4<br/><br/>Chapter 5: Assets Allocation Using R <br/><br/>5.1 Risk Aversion and the Assets Allocation Process<br/><br/>5.2 Classical Assets Allocation Approaches<br/><br/>5.3 Allocation with Time Varying Risk Aversion<br/><br/>5.4 Variable Risk Preference Bias<br/><br/>5.5 A Unified Approach for Time Varying Risk Aversion<br/><br/>5.6 Assets Allocation Worked Examples<br/><br/>Chapter 6: Financial Risk Modeling and Portfolio Optimization Using R<br/><br/>6.1 Introduction to the Optimization Process<br/><br/>6.2 Optimization Methodologies in Probabilistic Calculus for Financial Engineering<br/><br/>6.3 Financial Risk Modeling and Portfolio Optimization <br/><br/>References<br/><br/>Index
520 ## - SUMMARY, ETC.
Summary, etc Illustrates how R may be used successfully to solve problems in quantitative finance<br/><br/>Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and multivariate data analysis. It examines probabilistic calculus for modeling financial engineering—walking the reader through building an effective financial model from the Geometric Brownian Motion (GBM) Model via probabilistic calculus, while also covering Ito Calculus. Classical mathematical models in financial engineering and modern portfolio theory are discussed—along with the Two Mutual Fund Theorem and The Sharpe Ratio. The book also looks at R as a calculator and using R in data analysis in financial engineering. Additionally, it covers asset allocation using R, financial risk modeling and portfolio optimization using R, global and local optimal values, locating functional maxima and minima, and portfolio optimization by performance analytics in CRAN.<br/><br/>Covers optimization methodologies in probabilistic calculus for financial engineering<br/>Answers the question: What does a "Random Walk" Financial Theory look like?<br/>Covers the GBM Model and the Random Walk Model<br/>Examines modern theories of portfolio optimization, including The Markowitz Model of Modern Portfolio Theory (MPT), The Black-Litterman Model, and The Black-Scholes Option Pricing Model<br/>Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R s an ideal reference for professionals and students in economics, econometrics, and finance, as well as for financial investment quants and financial engineers.
526 ## - STUDY PROGRAM INFORMATION NOTE
-- 300-399
-- 330
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record and CIP data provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Financial engineering
General subdivision Mathematical models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probabilities.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Calculus.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text Full text available at Wiley Online Library Click here to view
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781119388050
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Source of acquisition Inventory number Full call number Barcode Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY LIC Gateway 2021-03-26 Megatexts Phil. Inc. 50590 332.015192 C3601 2017 CL-50590 2021-03-26 2021-03-26 EBOOK