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Stochastic Finance with Python (Record no. 65719)

MARC details
000 -LEADER
fixed length control field 03985nam a22005175i 4500
001 - CONTROL NUMBER
control field 979-8-8688-1052-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030114618.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241214s2024 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9798868810527
-- 979-8-8688-1052-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/979-8-8688-1052-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.73.P98
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMX
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM051360
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMX
Source thema
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nag, Avishek.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 88949
245 10 - TITLE STATEMENT
Title Stochastic Finance with Python
Medium [electronic resource] :
Remainder of title Design Financial Models from Probabilistic Perspective /
Statement of responsibility, etc. by Avishek Nag.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berkeley, CA :
Name of producer, publisher, distributor, manufacturer Apress :
-- Imprint: Apress,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 396 p. 103 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I - Foundations & Pre-requisites -- Chapter 1 - Introduction -- Chapter 2 – Finance Basics & Data Sources -- Chapter 3 - Probability -- Chapter 4 - Simulation -- Chapter 5 – Stochastic Process -- Part II – Basic Asset Price Modelling -- Chapter 6 – Diffusion Model -- Chapter 7 – Jump Models -- Part III – Financial Options Modelling -- Chapter 8 – Options & Black-Scholes Model -- Chapter 9 – PDE, Finite-Difference & Black-Scholes Model -- Part IV - Portfolios -- Chapter 10 – Portfolio Optimization.
520 ## - SUMMARY, ETC.
Summary, etc. Journey through the world of stochastic finance from learning theory, underlying models, and derivations of financial models (stocks, options, portfolios) to the almost production-ready Python components under cover of stochastic finance. This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python. The book starts by reviewing financial concepts, such as analyzing different asset types like stocks, options, and portfolios. It then delves into the crux of stochastic finance, providing a glimpse into the probabilistic nature of financial markets. You’ll look closely at probability theory, random variables, Monte Carlo simulation, and stochastic processes to cover the prerequisites from the applied perspective. Then explore random walks and Brownian motion, essential in understanding financial market dynamics. You’ll get a glimpse of two vital modelling tools used throughout the book - stochastic calculus and stochastic differential equations (SDE). Advanced topics like modeling jump processes and estimating their parameters by Fourier-transform-based density recovery methods can be intriguing to those interested in full-numerical solutions of probability models. Moving forward, the book covers options, including the famous Black-Scholes model, dissecting it from both risk-neutral probability and PDE perspectives. A chapter at the end also covers the discovery of portfolio theory, beginning with mean-variance analysis and advancing to portfolio simulation and the efficient frontier.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 64608
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Finance.
9 (RLIN) 58021
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58071
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 47553
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57278
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 69289
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9798868810510
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9798868810534
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9798868813474
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/979-8-8688-1052-7">https://doi.org/10.1007/979-8-8688-1052-7</a>
912 ## -
-- ZDB-2-CWD
912 ## -
-- ZDB-2-SXPC

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