Listed volatility and variance derivatives : (Record no. 648988)

MARC details
000 -LEADER
fixed length control field 10533cam a22006138i 4500
001 - CONTROL NUMBER
control field ocn961457683
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250919141836.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161028s2016 nju ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2016049867
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119167945
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119167949
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119167921
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119167922
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119167938
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119167930
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119167914
Qualifying information (hardback)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)961457683
Canceled/invalid control number (OCoLC)961930675
037 ## - SOURCE OF ACQUISITION
Stock number 53087A54-F25B-4515-9C3C-7F84B8FB5D86
Source of stock number/acquisition OverDrive, Inc.
Note http://www.overdrive.com
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency DLC
Modifying agency OCLCO
-- YDX
-- NST
-- OCLCF
-- DG1
-- IDEBK
-- DG1
-- UPM
-- DG1
-- TEFOD
-- OCLCQ
042 ## - AUTHENTICATION CODE
Authentication code pcc
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
050 10 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HG6024.A3
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS
Subject category code subdivision 027000
Source bisacsh
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 332.64/57
Edition information 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hilpisch, Yves J.,
Relator term author.
245 10 - TITLE STATEMENT
Title Listed volatility and variance derivatives :
Remainder of title a Python-based guide /
Statement of responsibility, etc. Yves Hilpisch.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 1611
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken :
Name of producer, publisher, distributor, manufacturer Wiley,
Date of production, publication, distribution, manufacture, or copyright notice 2016.
300 ## - PHYSICAL DESCRIPTION
Extent 1 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 n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code nc
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Wiley finance
520 ## - SUMMARY, ETC.
Summary, etc. 'Leverage Python for expert-level volatility and variance derivative trading Listed Volatility and Variance Derivatives is a comprehensive treatment of all aspects of these increasingly popular derivatives products, and has the distinction of being both the first to cover European volatility and variance products provided by Eurex and the first to offer Python code for implementing comprehensive quantitative analyses of these financial products. For those who want to get started right away, the book is accompanied by a dedicated Web page and a Github repository that includes all the code from the book for easy replication and use, as well as a hosted version of all the code for immediate execution. Python is fast making inroads into financial modelling and derivatives analytics, and recent developments allow Python to be as fast as pure C++ or C while consisting generally of only 10% of the code lines associated with the compiled languages. This complete guide offers rare insight into the use of Python to undertake complex quantitative analyses of listed volatility and variance derivatives. Learn how to use Python for data and financial analysis, and reproduce stylised facts on volatility and variance markets Gain an understanding of the fundamental techniques of modelling volatility and variance and the model-free replication of variance Familiarise yourself with micro structure elements of the markets for listed volatility and variance derivatives Reproduce all results and graphics with IPython/Jupyter Notebooks and Python codes that accompany the book Listed Volatility and Variance Derivatives is the complete guide to Python-based quantitative analysis of these Eurex derivatives products'--
Assigning source Provided by publisher.
520 ## - SUMMARY, ETC.
Summary, etc. 'Listed Volatility and Variance Derivatives comprehensively covers all aspects related to these now so popular financial products. It is the first to cover European products provided by Eurex and to provide Python codes for implementing all quantitative aspects related to them. Benefits of Reading the Book: - Data Analysis: Learn how to use Python for data and financial analysis. Reproduce major stylized facts of volatility and variance markets by yourself. - Models: Learn the fundamental techniques of modelling volatility (indices) and variance and the model-free replication of variance. - Trading: Learn the micro structure elements of the markets for listed volatility and variance derivatives. - Python: All results, graphics, etc. presented are in general reproducible with the IPython Notebooks and Python codes accompanying the book'--
Assigning source Provided by publisher.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: Preface 1 I Introduction to Volatility and Variance 3 1 Derivatives, Volatility and Variance 5 1.1 Option Pricing and Hedging 5 1.2 Notions of Volatility and Variance 7 1.3 Listed Volatility and Variance Derivatives 8 1.3.1 The US History 8 1.3.2 The European History 10 1.3.3 Volatility of Volatility Indexes 11 1.3.4 Products Covered in this Book 12 1.4 Volatility and Variance Trading 12 1.4.1 Volatility Trading 13 1.4.2 Variance Trading 14 1.5 Python as Our Tool of Choice 15 1.6 Quick Guide Through Rest of the Book 15 2 Introduction to Python 19 2.1 Python Basics 19 2.1.1 Data Types 19 2.1.2 Data Structures 21 2.1.3 Control Structures 23 2.1.4 Special Python Idioms 24 2.2 NumPy 27 2.3 matplotlib 32 2.4 pandas 36 2.4.1 pandas Data Frame class 36 2.4.2 Input-Output Operations 40 2.4.3 Financial Analytics Examples 43 2.5 Conclusions 48 3 Model-Free Replication of Variance 49 3.1 Introduction 49 3.2 Spanning with Options 49 3.3 Log Contracts 50 3.4 Static Replication of Realized Variance and Variance Swaps 51 3.5 Constant Dollar Gamma Derivatives and Portfolios 51 3.6 Practical Replication of Realized Variance 52 3.7 VSTOXX as Volatility Index 57 3.8 Conclusions 59 II Listed Volatility Derivatives 61 4 Data Analysis and Strategies 63 4.1 Introduction 63 4.2 Retrieving Base Data 63 4.2.1 EURO STOXX 50 Data 63 4.2.2 VSTOXX Data 65 4.2.3 Combining the Data Sets 67 4.2.4 Saving the Data 68 4.3 Basic Data Analysis 69 4.4 Correlation Analysis 72 4.5 Constant Proportion Investment Strategies 77 4.6 Conclusions 82 5 VSTOXX Index 83 5.1 Introduction 83 5.2 Collecting Option Data 84 5.3 Calculating the Sub-Indexes 91 5.3.1 The Algorithm 91 5.4 Calculating the VSTOXX Index 98 5.5 Conclusions 101 5.6 Python Scripts 103 5.6.1 index_collect_option_data.py 103 5.6.2 index_subindex_calculation.py 107 5.6.3 index_vstoxx_calculation.py 110 6 Valuing Volatility Derivatives 113 6.1 Introduction 113 6.2 The Valuation Framework 113 6.3 The Futures Pricing Formula 114 6.4 The Option Pricing Formula 115 6.5 Monte Carlo Simulation 118 6.6 Automated Monte Carlo Tests 123 6.6.1 The Automated Testing 123 6.6.2 The Storage Functions 126 6.6.3 The Results 128 6.7 Model Calibration 133 6.7.1 The Option Quotes 133 6.7.2 The Calibration Procedure 134 6.7.3 The Calibration Results 138 6.8 Conclusions 141 6.9 Python Scripts 141 6.9.1 srd_functions.py 141 6.9.2 srd_simulation_analysis.py 145 6.9.3 srd_simulation_results.py 148 6.9.4 srd_model_calibration.py 151 7 Advanced Modeling of the VSTOXX Index 155 7.1 Introduction 155 7.2 Market Quotes for Call Options 155 7.3 The SRJD Model 158 7.4 Term Structure Calibration 159 7.4.1 Futures Term Structure 159 7.4.2 Shifted Volatility Process 163 7.5 Option Valuation by Monte Carlo Simulation 164 7.5.1 Monte Carlo Valuation 165 7.5.2 Technical Implementation 165 7.6 Model Calibration 169 7.6.1 The Python Code 169 7.6.2 Short Maturity 171 7.6.3 Two Maturities 173 7.6.4 Four Maturities 175 7.6.5 All Maturities 176 7.7 Conclusions 181 7.8 Python Scripts 181 7.8.1 srjd_fwd_calibration.py 181 7.8.2 srjd_simulation.py 183 7.8.3 srjd_model_calibration.py 185 8 Terms of the VSTOXX and its Derivatives 191 8.1 The EURO STOXX 50 Index 191 8.2 The VSTOXX Index 192 8.3 VSTOXX Futures Contracts 192 8.4 VSTOXX Options Contracts 193 8.5 Conclusions 195 III Listed Variance Derivatives 197 9 Realized Variance and Variance Swaps 199 9.1 Introdution 199 9.2 Realized Variance 199 9.3 Variance Swaps 204 9.3.1 Definition of a Variance Swap 204 9.3.2 Numerical Example 205 9.3.3 Mark-to-Market 208 9.3.4 Vega Sensitivity 209 9.3.5 Variance Swap on the EURO STOXX 50 211 9.4 Variance vs. Volatility 216 9.4.1 Squared Variations 216 9.4.2 Additivity in Time 216 9.4.3 Static Hedges 218 9.4.4 Broad Measure of Risk 218 9.5 Conclusions 218 10 Variance Futures at Eurex 219 10.1 Introduction 219 10.2 Variance Futures Concepts 220 10.2.1 Realized Variance 220 10.2.2 Net Present Value Concepts 220 10.2.3 Traded Variance Strike 224 10.2.4 Traded Futures Price 224 10.2.5 Number of Futures 225 10.2.6 Par Variance Strike 225 10.2.7 Futures Settlement Price 225 10.3 Example Calculation for a Variance Future 225 10.4 Comparison of Variance Swap and Future 230 10.5 Conclusions 233 11 Trading and Settlement 235 11.1 Introduction 235 11.2 Overview of Variance Futures Terms 235 11.3 Intraday Trading 236 11.4 Trade Matching 239 11.5 Different Traded Volatilities 239 11.6 After the Trade Matching 241 11.7 Further Details 243 11.7.1 Interest Rate Calculation 243 11.7.2 Market Disruption Events 243 11.8 Conclusions 244 IV DX Analytics 245 12 DX Analytics -- An Overview 247 12.1 Introduction 247 12.2 Modeling Risk Factors 248 12.3 Modeling Derivatives 250 12.4 Derivatives Portfolios 253 12.4.1 Modeling Portfolios 253 12.4.2 Simulation and Valuation 255 12.4.3 Risk Reports 256 12.5 Conclusions 257 13 DX Analytics -- Square-Root Diffusion 259 13.1 Introduction 259 13.2 Data Import and Selection 259 13.3 Modeling the VSTOXX Options 262 13.4 Calibration of the VSTOXX Model 264 13.5 Conclusions 269 13.6 Python Scripts 269 13.6.1 dx_srd_calibration.py 269 14 DX Analytics -- Square-Root Jump Diffusion 275 14.1 Introduction 275 14.2 Modeling the VSTOXX Options 275 14.3 Calibration of the VSTOXX Model 279 14.4 Calibration Results 283 14.4.1 Calibration to 1 Maturity 283 14.4.2 Calibration to 2 Maturities 283 14.4.3 Calibration to 5 Maturities 285 14.4.4 Calibration without Penalties 285 14.5 Conclusions 288 14.6 Python Scripts 288 14.6.1 dx_srjd_calibration.py 288 Bibliography 303 Index 305.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record and CIP data provided by publisher; resource not viewed.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Derivative securities.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BUSINESS & ECONOMICS
General subdivision Finance.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Derivative securities.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst00891019
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01084736
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Hilpisch, Yves J.
Title Listed volatility and variance derivatives.
Place, publisher, and date of publication Hoboken : Wiley, 2016
International Standard Book Number 9781119167914
Record control number (DLC) 2016032543
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1002/9781119167945">https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1002/9781119167945</a>
Public note Wiley Online Library
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b16815786
b 2022-11-03
c 2020-07-17
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Suppress in OPAC No
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Library
Operator's initials, OID (RLIN) 2020-07-17
Cataloger's initials, CIN (RLIN) m
Material Type (Sierra) E-Book
Language English
Country
-- 0
-- .b16815786

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