Hidden Markov Models in Finance
|
|
- Cory Arnold
- 5 years ago
- Views:
Transcription
1 Hidden Markov Models in Finance Edited by, Rogemar S. Mamon Robert J. Elliott B fya Springer
2 Contents 1 An Exact Solution of the Term Structure of Interest Rate under Regime-Switching Risk Shu Wu, Yong Zeng Introduction A new representation for modeling regime shift The model Two state variables Pricing kernel The risk-neutral probability measure 5 1.3:4 The term structure of interest rates A tractable specification with exact solution Affine regime-switching models Conclusions 13 References 13 2 The Term Structure of Interest Rates in a Hidden Markov Setting Robert J. Elliott, Craig A. Wilson Introduction ; The Model The Markov chain The short-term interest rate The zero-coupon bond value Implementation Results Conclusion 30 References 30
3 VI Contents 3 On Fair Valuation of Participating Life Insurance Policies With Regime Switching Tak Kuen Siu ' Introduction The model dynamics _ Dimension reduction to regime-switching PDE Further investigation 42 References \ 42 4 Pricing Options and Variance Swaps iri Markov-Modulated Brownian Markets Robert J. Elliott, Anatoliy V. Swishchuk Introduction Literature review Martingale characterization of Markov processes Pricing options for Markov-modulated security markets Incompleteness of Markov-modulated Brownian security markets The Black-Scholes formula for pricing options in a Markov-modulated Brownian market Pricing options for Markov-modulated Brownian markets with jumps 58' Incompleteness of Markov-modulated Brownian (B, S')-security markets with jumps Black-Scholes formula for pricing options in Markovmodulated Brownian (B, S)-security market with jumps Pricing of Variancev swaps for stochastic volatility driven by Markov process Stochastic volatility driven by Markov process Pricing of variance swaps for stochastic volatility driven by Markov process Example of variance swap for stochastic volatility driven by two-state continuous Markov chain 64 A Some auxiliary results 64 A.I A Feynmann-Kac formula for the Markov-modulated process (y s (t),x s (t)) t > s 64 A.2 Formula for the option price /T(ST) for the market combined Markov-modulated (B, 5)-security market and compound geometric Poisson process (see Section 4.4.2) References 67
4 Contents 5 Smoothed Parameter Estimation for a Hidden Markov Model of Credit Quality Malgorzata W. Korolkiewicz, Robert J. Elliott Introduction Dynamics of the Markov chain and observations Reference probability Recursive filter Parameter estimates Smoothed estimates 75 A Appendix 80 References 90 6 Expected Shortfall Under a Model With Market and Credit Risks Kin Bong Siu, Hailiang Yang Introduction Markov regime-switching model Weak Markov-regime switching model Concluding remarks 99 References, 99 7 Filtering of Hidden Weak Markov Chain -Discrete Range Observations Shangzhen Luo, Allanus H. Tsoi : Introduction Basic Settings Change of Measure A general unnormalized recursive filter Estimation of states, transitions and occupation times State estimation Estimators for the number of jumps Estimators for 1-state occupation times Estimators for 2-state occupation times Ill Estimators for state to observation transitions Ill 7.6 Parameter re-estimations Error analysis Conclusion 117 References Filtering of a Partially Observed Inventory System Lakhdar Aggoun Introduction Model description Reference probability Filtering Filters for G H, and Si* 128 VII
5 VIII Contents 8.6 Parameter re-estimation 131 References An empirical investigation of the unbiased forward exchange rate hypothesis in a regime switching market Emilio Russo, Fabio Spagnolo and Rogemar Mamon ^-Introduction Stylised features and statistical properties of foreign exchange rates Stationary and nonstationary time series Cointegration and the unbiased forward exchange rate (UFER) hypothesis Evidence from exchange rate market via a Markov regime-switching model Concluding remarks 151 References 151 s 10 Early Warning Systems for Currency Crises: A Regime-Switching Approach Abdul Abiad Introduction A Markov-switching approach to early warning systems Data description and transformation Estimation results Indonesia Korea Malaysia The Philippines Thailand Forecast assessment Conclusions 180 References 182
Contents 1 An Exact Solution of the Term Structure of Interest Rate under Regime-Switching Risk
Contents 1 An Exact Solution of the Term Structure of Interest Rate under Regime-Switching Risk Shu Wu, Yong Zeng... 1 1.1 Introduction... 1 1.2 Anewrepresentationformodelingregimeshift... 3 1.3 Themodel...
More informationHidden Markov Models in Finance
Hidden Markov Models in Finance Recent titles in the INTERNATIONAL SERIES IN OPERATIONS RESEARCH & MANAGEMENT SCIENCE Frederick S. Hillier, Series Editor, Stanford University Gass & Assad/ AN ANNOTATED
More informationEMPIRICAL STUDY ON THE MARKOV-MODULATED REGIME-SWITCHING MODEL WHEN THE REGIME SWITCHING RISK IS PRICED
EMPIRICAL STUDY ON THE MARKOV-MODULATED REGIME-SWITCHING MODEL WHEN THE REGIME SWITCHING RISK IS PRICED David Liu Department of Mathematical Sciences Xi an Jiaotong Liverpool University, Suzhou, China
More informationIntroduction to Stochastic Calculus With Applications
Introduction to Stochastic Calculus With Applications Fima C Klebaner University of Melbourne \ Imperial College Press Contents Preliminaries From Calculus 1 1.1 Continuous and Differentiable Functions.
More informationPricing Exotic Options Under a Higher-order Hidden Markov Model
Pricing Exotic Options Under a Higher-order Hidden Markov Model Wai-Ki Ching Tak-Kuen Siu Li-min Li 26 Jan. 2007 Abstract In this paper, we consider the pricing of exotic options when the price dynamic
More informationOption Pricing under Delay Geometric Brownian Motion with Regime Switching
Science Journal of Applied Mathematics and Statistics 2016; 4(6): 263-268 http://www.sciencepublishinggroup.com/j/sjams doi: 10.11648/j.sjams.20160406.13 ISSN: 2376-9491 (Print); ISSN: 2376-9513 (Online)
More informationStatistical Models and Methods for Financial Markets
Tze Leung Lai/ Haipeng Xing Statistical Models and Methods for Financial Markets B 374756 4Q Springer Preface \ vii Part I Basic Statistical Methods and Financial Applications 1 Linear Regression Models
More informationSTOCHASTIC MODELLING OF ELECTRICITY AND RELATED MARKETS
Advanced Series on Statistical Science & Applied Probability Vol. I I STOCHASTIC MODELLING OF ELECTRICITY AND RELATED MARKETS Fred Espen Benth JGrate Saltyte Benth University of Oslo, Norway Steen Koekebakker
More informationRisk-Neutral Valuation
N.H. Bingham and Rüdiger Kiesel Risk-Neutral Valuation Pricing and Hedging of Financial Derivatives W) Springer Contents 1. Derivative Background 1 1.1 Financial Markets and Instruments 2 1.1.1 Derivative
More informationWe discussed last time how the Girsanov theorem allows us to reweight probability measures to change the drift in an SDE.
Risk Neutral Pricing Thursday, May 12, 2011 2:03 PM We discussed last time how the Girsanov theorem allows us to reweight probability measures to change the drift in an SDE. This is used to construct a
More informationMartingale Methods in Financial Modelling
Marek Musiela Marek Rutkowski Martingale Methods in Financial Modelling Second Edition \ 42 Springer - . Preface to the First Edition... V Preface to the Second Edition... VII I Part I. Spot and Futures
More informationMartingale Methods in Financial Modelling
Marek Musiela Marek Rutkowski Martingale Methods in Financial Modelling Second Edition Springer Table of Contents Preface to the First Edition Preface to the Second Edition V VII Part I. Spot and Futures
More informationContinuous-time Stochastic Control and Optimization with Financial Applications
Huyen Pham Continuous-time Stochastic Control and Optimization with Financial Applications 4y Springer Some elements of stochastic analysis 1 1.1 Stochastic processes 1 1.1.1 Filtration and processes 1
More informationValuing power options under a regime-switching model
6 13 11 ( ) Journal of East China Normal University (Natural Science) No. 6 Nov. 13 Article ID: 1-5641(13)6-3-8 Valuing power options under a regime-switching model SU Xiao-nan 1, WANG Wei, WANG Wen-sheng
More informationTwo and Three factor models for Spread Options Pricing
Two and Three factor models for Spread Options Pricing COMMIDITIES 2007, Birkbeck College, University of London January 17-19, 2007 Sebastian Jaimungal, Associate Director, Mathematical Finance Program,
More informationMartingale Approach to Pricing and Hedging
Introduction and echniques Lecture 9 in Financial Mathematics UiO-SK451 Autumn 15 eacher:s. Ortiz-Latorre Martingale Approach to Pricing and Hedging 1 Risk Neutral Pricing Assume that we are in the basic
More informationPricing Variance Swaps under Stochastic Volatility Model with Regime Switching - Discrete Observations Case
Pricing Variance Swaps under Stochastic Volatility Model with Regime Switching - Discrete Observations Case Guang-Hua Lian Collaboration with Robert Elliott University of Adelaide Feb. 2, 2011 Robert Elliott,
More informationThe Term Structure of Interest Rates under Regime Shifts and Jumps
The Term Structure of Interest Rates under Regime Shifts and Jumps Shu Wu and Yong Zeng September 2005 Abstract This paper develops a tractable dynamic term structure models under jump-diffusion and regime
More informationSubject CT8 Financial Economics Core Technical Syllabus
Subject CT8 Financial Economics Core Technical Syllabus for the 2018 exams 1 June 2017 Aim The aim of the Financial Economics subject is to develop the necessary skills to construct asset liability models
More informationFrom Discrete Time to Continuous Time Modeling
From Discrete Time to Continuous Time Modeling Prof. S. Jaimungal, Department of Statistics, University of Toronto 2004 Arrow-Debreu Securities 2004 Prof. S. Jaimungal 2 Consider a simple one-period economy
More informationDiscrete-time Asset Pricing Models in Applied Stochastic Finance
Discrete-time Asset Pricing Models in Applied Stochastic Finance P.C.G. Vassiliou ) WILEY Table of Contents Preface xi Chapter ^Probability and Random Variables 1 1.1. Introductory notes 1 1.2. Probability
More informationFinancial Models with Levy Processes and Volatility Clustering
Financial Models with Levy Processes and Volatility Clustering SVETLOZAR T. RACHEV # YOUNG SHIN ICIM MICHELE LEONARDO BIANCHI* FRANK J. FABOZZI WILEY John Wiley & Sons, Inc. Contents Preface About the
More informationOperational Risk. Robert Jarrow. September 2006
1 Operational Risk Robert Jarrow September 2006 2 Introduction Risk management considers four risks: market (equities, interest rates, fx, commodities) credit (default) liquidity (selling pressure) operational
More informationINTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS. Jakša Cvitanić and Fernando Zapatero
INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS Jakša Cvitanić and Fernando Zapatero INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS Table of Contents PREFACE...1
More informationModule 10:Application of stochastic processes in areas like finance Lecture 36:Black-Scholes Model. Stochastic Differential Equation.
Stochastic Differential Equation Consider. Moreover partition the interval into and define, where. Now by Rieman Integral we know that, where. Moreover. Using the fundamentals mentioned above we can easily
More informationMarkov Processes and Applications
Markov Processes and Applications Algorithms, Networks, Genome and Finance Etienne Pardoux Laboratoire d'analyse, Topologie, Probabilites Centre de Mathematiques et d'injormatique Universite de Provence,
More informationImplementing Models in Quantitative Finance: Methods and Cases
Gianluca Fusai Andrea Roncoroni Implementing Models in Quantitative Finance: Methods and Cases vl Springer Contents Introduction xv Parti Methods 1 Static Monte Carlo 3 1.1 Motivation and Issues 3 1.1.1
More informationADVANCED ASSET PRICING THEORY
Series in Quantitative Finance -Vol. 2 ADVANCED ASSET PRICING THEORY Chenghu Ma Fudan University, China Imperial College Press Contents List of Figures Preface Background Organization and Content Readership
More informationCredit Risk: Modeling, Valuation and Hedging
Tomasz R. Bielecki Marek Rutkowski Credit Risk: Modeling, Valuation and Hedging Springer Table of Contents Preface V Part I. Structural Approach 1. Introduction to Credit Risk 3 1.1 Corporate Bonds 4 1.1.1
More informationAsset Pricing and Portfolio. Choice Theory SECOND EDITION. Kerry E. Back
Asset Pricing and Portfolio Choice Theory SECOND EDITION Kerry E. Back Preface to the First Edition xv Preface to the Second Edition xvi Asset Pricing and Portfolio Puzzles xvii PART ONE Single-Period
More informationMSc Financial Mathematics
MSc Financial Mathematics Programme Structure Week Zero Induction Week MA9010 Fundamental Tools TERM 1 Weeks 1-1 0 ST9080 MA9070 IB9110 ST9570 Probability & Numerical Asset Pricing Financial Stoch. Processes
More informationEmpirical Dynamic Asset Pricing
Empirical Dynamic Asset Pricing Model Specification and Econometric Assessment Kenneth J. Singleton Princeton University Press Princeton and Oxford Preface Acknowledgments xi xiii 1 Introduction 1 1.1.
More informationMonte Carlo Methods in Financial Engineering
Paul Glassennan Monte Carlo Methods in Financial Engineering With 99 Figures
More informationMSc Financial Mathematics
MSc Financial Mathematics The following information is applicable for academic year 2018-19 Programme Structure Week Zero Induction Week MA9010 Fundamental Tools TERM 1 Weeks 1-1 0 ST9080 MA9070 IB9110
More informationRisk Measures for Derivative Securities: From a Yin-Yang Approach to Aerospace Space
Risk Measures for Derivative Securities: From a Yin-Yang Approach to Aerospace Space Tak Kuen Siu Department of Applied Finance and Actuarial Studies, Faculty of Business and Economics, Macquarie University,
More informationPricing exotic options under a high-order markovian regime switching model
Title Pricing exotic options under a high-order markovian regime switching model Author(s) Ching, WK; Siu, TK; Li, LM Citation Journal Of Applied Mathematics And Decision Sciences, 2007, v. 2007, article
More informationAsset Pricing Models with Underlying Time-varying Lévy Processes
Asset Pricing Models with Underlying Time-varying Lévy Processes Stochastics & Computational Finance 2015 Xuecan CUI Jang SCHILTZ University of Luxembourg July 9, 2015 Xuecan CUI, Jang SCHILTZ University
More informationFinancial Econometrics Notes. Kevin Sheppard University of Oxford
Financial Econometrics Notes Kevin Sheppard University of Oxford Monday 15 th January, 2018 2 This version: 22:52, Monday 15 th January, 2018 2018 Kevin Sheppard ii Contents 1 Probability, Random Variables
More informationStochastic Dynamical Systems and SDE s. An Informal Introduction
Stochastic Dynamical Systems and SDE s An Informal Introduction Olav Kallenberg Graduate Student Seminar, April 18, 2012 1 / 33 2 / 33 Simple recursion: Deterministic system, discrete time x n+1 = f (x
More informationLinearity-Generating Processes, Unspanned Stochastic Volatility, and Interest-Rate Option Pricing
Linearity-Generating Processes, Unspanned Stochastic Volatility, and Interest-Rate Option Pricing Liuren Wu, Baruch College Joint work with Peter Carr and Xavier Gabaix at New York University Board of
More informationExam Quantitative Finance (35V5A1)
Exam Quantitative Finance (35V5A1) Part I: Discrete-time finance Exercise 1 (20 points) a. Provide the definition of the pricing kernel k q. Relate this pricing kernel to the set of discount factors D
More informationOption pricing with regime switching by trinomial tree method
Title Option pricing with regime switching by trinomial tree method Author(s) Yuen, FL; Yang, H Citation Journal Of Computational And Applied Mathematics, 2010, v. 233 n. 8, p. 1821-1833 Issued Date 2010
More informationCredit Value Adjustment (CVA) Introduction
Credit Value Adjustment (CVA) Introduction Alex Yang FinPricing http://www.finpricing.com Summary CVA History CVA Definition Risk Free Valuation Risky Valuation CVA History Current market practice Discounting
More informationAsset allocation under regime-switching models
Title Asset allocation under regime-switching models Authors Song, N; Ching, WK; Zhu, D; Siu, TK Citation The 5th International Conference on Business Intelligence and Financial Engineering BIFE 212, Lanzhou,
More informationFinancial and Actuarial Mathematics
Financial and Actuarial Mathematics Syllabus for a Master Course Leda Minkova Faculty of Mathematics and Informatics, Sofia University St. Kl.Ohridski leda@fmi.uni-sofia.bg Slobodanka Jankovic Faculty
More informationPROBABILITY. Wiley. With Applications and R ROBERT P. DOBROW. Department of Mathematics. Carleton College Northfield, MN
PROBABILITY With Applications and R ROBERT P. DOBROW Department of Mathematics Carleton College Northfield, MN Wiley CONTENTS Preface Acknowledgments Introduction xi xiv xv 1 First Principles 1 1.1 Random
More informationTable of Contents. Part I. Deterministic Models... 1
Preface...xvii Part I. Deterministic Models... 1 Chapter 1. Introductory Elements to Financial Mathematics.... 3 1.1. The object of traditional financial mathematics... 3 1.2. Financial supplies. Preference
More informationINSTITUTE OF ACTUARIES OF INDIA
INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 23 rd March 2017 Subject CT8 Financial Economics Time allowed: Three Hours (10.30 13.30 Hours) Total Marks: 100 INSTRUCTIONS TO THE CANDIDATES 1. Please read
More informationFinancial Engineering MRM 8610 Spring 2015 (CRN 12477) Instructor Information. Class Information. Catalog Description. Textbooks
Instructor Information Financial Engineering MRM 8610 Spring 2015 (CRN 12477) Instructor: Daniel Bauer Office: Room 1126, Robinson College of Business (35 Broad Street) Office Hours: By appointment (just
More informationModeling via Stochastic Processes in Finance
Modeling via Stochastic Processes in Finance Dimbinirina Ramarimbahoaka Department of Mathematics and Statistics University of Calgary AMAT 621 - Fall 2012 October 15, 2012 Question: What are appropriate
More informationInstitute of Actuaries of India Subject CT6 Statistical Methods
Institute of Actuaries of India Subject CT6 Statistical Methods For 2014 Examinations Aim The aim of the Statistical Methods subject is to provide a further grounding in mathematical and statistical techniques
More informationDistortion operator of uncertainty claim pricing using weibull distortion operator
ISSN: 2455-216X Impact Factor: RJIF 5.12 www.allnationaljournal.com Volume 4; Issue 3; September 2018; Page No. 25-30 Distortion operator of uncertainty claim pricing using weibull distortion operator
More informationApplied Stochastic Processes and Control for Jump-Diffusions
Applied Stochastic Processes and Control for Jump-Diffusions Modeling, Analysis, and Computation Floyd B. Hanson University of Illinois at Chicago Chicago, Illinois siam.. Society for Industrial and Applied
More informationUnified Credit-Equity Modeling
Unified Credit-Equity Modeling Rafael Mendoza-Arriaga Based on joint research with: Vadim Linetsky and Peter Carr The University of Texas at Austin McCombs School of Business (IROM) Recent Advancements
More informationWIF Option Pricing with Hidden Markov Models. Hiroshi Ishijima, Takao Kihara
WIF-05-004 Option Pricing with Hidden Markov Models Hiroshi Ishijima, Takao Kihara Option Pricing with Hidden Markov Models Hiroshi Ishijima Takao Kihara May 6 & September 22, 2005 Abstract In this paper,
More informationOptimal Bid-Ask Spread in Limit-Order Books under Regime Switching Framework. Farzad Alavi Fard
Review of Economics & Finance Submitted on 17/06/2014 Article ID: 1923-7529-2014-04-33-16 Farzad Alavi Fard Optimal Bid-Ask Spread in Limit-Order Books under Regime Switching Framework Farzad Alavi Fard
More informationDynamic Copula Methods in Finance
Dynamic Copula Methods in Finance Umberto Cherubini Fabio Gofobi Sabriea Mulinacci Silvia Romageoli A John Wiley & Sons, Ltd., Publication Contents Preface ix 1 Correlation Risk in Finance 1 1.1 Correlation
More informationTEST OF BOUNDED LOG-NORMAL PROCESS FOR OPTIONS PRICING
TEST OF BOUNDED LOG-NORMAL PROCESS FOR OPTIONS PRICING Semih Yön 1, Cafer Erhan Bozdağ 2 1,2 Department of Industrial Engineering, Istanbul Technical University, Macka Besiktas, 34367 Turkey Abstract.
More informationSubject CS2A Risk Modelling and Survival Analysis Core Principles
` Subject CS2A Risk Modelling and Survival Analysis Core Principles Syllabus for the 2019 exams 1 June 2018 Copyright in this Core Reading is the property of the Institute and Faculty of Actuaries who
More informationAffine Regime-Switching Models for Interest Rate Term Structure
Contemporary Mathematics Affine Regime-Switching Models for Interest Rate Term Structure Shu Wu and Yong Zeng Abstract. To model the impact of the business cycle, this paper develops a tractable dynamic
More informationStatistics and Finance
David Ruppert Statistics and Finance An Introduction Springer Notation... xxi 1 Introduction... 1 1.1 References... 5 2 Probability and Statistical Models... 7 2.1 Introduction... 7 2.2 Axioms of Probability...
More informationBeyond the Black-Scholes-Merton model
Econophysics Lecture Leiden, November 5, 2009 Overview 1 Limitations of the Black-Scholes model 2 3 4 Limitations of the Black-Scholes model Black-Scholes model Good news: it is a nice, well-behaved model
More informationOn Asymptotic Power Utility-Based Pricing and Hedging
On Asymptotic Power Utility-Based Pricing and Hedging Johannes Muhle-Karbe TU München Joint work with Jan Kallsen and Richard Vierthauer Workshop "Finance and Insurance", Jena Overview Introduction Utility-based
More informationA new approach to multiple curve Market Models of Interest Rates. Rodney Hoskinson
A new approach to multiple curve Market Models of Interest Rates Rodney Hoskinson Rodney Hoskinson This presentation has been prepared for the Actuaries Institute 2014 Financial Services Forum. The Institute
More informationComputational Methods in Finance
Chapman & Hall/CRC FINANCIAL MATHEMATICS SERIES Computational Methods in Finance AM Hirsa Ltfi) CRC Press VV^ J Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor &
More informationCurriculum. Written by Administrator Sunday, 03 February :33 - Last Updated Friday, 28 June :10 1 / 10
1 / 10 Ph.D. in Applied Mathematics with Specialization in the Mathematical Finance and Actuarial Mathematics Professor Dr. Pairote Sattayatham School of Mathematics, Institute of Science, email: pairote@sut.ac.th
More informationLecture 9: Practicalities in Using Black-Scholes. Sunday, September 23, 12
Lecture 9: Practicalities in Using Black-Scholes Major Complaints Most stocks and FX products don t have log-normal distribution Typically fat-tailed distributions are observed Constant volatility assumed,
More informationCredit-Equity Modeling under a Latent Lévy Firm Process
.... Credit-Equity Modeling under a Latent Lévy Firm Process Masaaki Kijima a Chi Chung Siu b a Graduate School of Social Sciences, Tokyo Metropolitan University b University of Technology, Sydney September
More informationFINANCIAL PRICING MODELS
Page 1-22 like equions FINANCIAL PRICING MODELS 20 de Setembro de 2013 PhD Page 1- Student 22 Contents Page 2-22 1 2 3 4 5 PhD Page 2- Student 22 Page 3-22 In 1973, Fischer Black and Myron Scholes presented
More informationBibliography. Principles of Infinitesimal Stochastic and Financial Analysis Downloaded from
Bibliography 1.Anderson, R.M. (1976) " A Nonstandard Representation for Brownian Motion and Ito Integration ", Israel Math. J., 25, 15. 2.Berg I.P. van den ( 1987) Nonstandard Asymptotic Analysis, Springer
More informationAn Econometric Model of The Term Structure of Interest Rates Under Regime-Switching Risk
An Econometric Model of The Term Structure of Interest Rates Under Regime-Switching Risk Shu Wu and Yong Zeng Abstract This paper develops and estimates a continuous-time model of the term structure of
More informationTitle Pricing options and equity-indexed annuities in regimeswitching models by trinomial tree method Author(s) Yuen, Fei-lung; 袁飛龍 Citation Issue Date 2011 URL http://hdl.handle.net/10722/133208 Rights
More informationUniversity of Washington at Seattle School of Business and Administration. Asset Pricing - FIN 592
1 University of Washington at Seattle School of Business and Administration Asset Pricing - FIN 592 Office: MKZ 267 Phone: (206) 543 1843 Fax: (206) 221 6856 E-mail: jduarte@u.washington.edu http://faculty.washington.edu/jduarte/
More informationThe term structure model of corporate bond yields
The term structure model of corporate bond yields JIE-MIN HUANG 1, SU-SHENG WANG 1, JIE-YONG HUANG 2 1 Shenzhen Graduate School Harbin Institute of Technology Shenzhen University Town in Shenzhen City
More informationFrom Financial Engineering to Risk Management. Radu Tunaru University of Kent, UK
Model Risk in Financial Markets From Financial Engineering to Risk Management Radu Tunaru University of Kent, UK \Yp World Scientific NEW JERSEY LONDON SINGAPORE BEIJING SHANGHAI HONG KONG TAIPEI CHENNAI
More informationResearch Article Regime-Switching Risk: To Price or Not to Price?
International Stochastic Analysis Volume 211, Article ID 843246, 14 pages doi:1.1155/211/843246 Research Article Regime-Switching Risk: To Price or Not to Price? Tak Kuen Siu Department of Applied Finance
More informationComputational Finance. Computational Finance p. 1
Computational Finance Computational Finance p. 1 Outline Binomial model: option pricing and optimal investment Monte Carlo techniques for pricing of options pricing of non-standard options improving accuracy
More informationPricing Options and Equity-Indexed Annuities in a Regime-switching Model by Trinomial Tree Method
Pricing Options and Equity-Indexed Annuities in a Regime-switching Model by Trinomial Tree Method Fei Lung YUEN Department of Actuarial Mathematics and Statistics and the Maxwell Institute for Mathematical
More informationChanges to Exams FM/2, M and C/4 for the May 2007 Administration
Changes to Exams FM/2, M and C/4 for the May 2007 Administration Listed below is a summary of the changes, transition rules, and the complete exam listings as they will appear in the Spring 2007 Basic
More informationPricing of a European Call Option Under a Local Volatility Interbank Offered Rate Model
American Journal of Theoretical and Applied Statistics 2018; 7(2): 80-84 http://www.sciencepublishinggroup.com/j/ajtas doi: 10.11648/j.ajtas.20180702.14 ISSN: 2326-8999 (Print); ISSN: 2326-9006 (Online)
More informationAN ANALYTICALLY TRACTABLE UNCERTAIN VOLATILITY MODEL
AN ANALYTICALLY TRACTABLE UNCERTAIN VOLATILITY MODEL FABIO MERCURIO BANCA IMI, MILAN http://www.fabiomercurio.it 1 Stylized facts Traders use the Black-Scholes formula to price plain-vanilla options. An
More informationTerm Structure of Credit Spreads of A Firm When Its Underlying Assets are Discontinuous
www.sbm.itb.ac.id/ajtm The Asian Journal of Technology Management Vol. 3 No. 2 (2010) 69-73 Term Structure of Credit Spreads of A Firm When Its Underlying Assets are Discontinuous Budhi Arta Surya *1 1
More informationDefinition Pricing Risk management Second generation barrier options. Barrier Options. Arfima Financial Solutions
Arfima Financial Solutions Contents Definition 1 Definition 2 3 4 Contenido Definition 1 Definition 2 3 4 Definition Definition: A barrier option is an option on the underlying asset that is activated
More informationDerivatives Pricing. AMSI Workshop, April 2007
Derivatives Pricing AMSI Workshop, April 2007 1 1 Overview Derivatives contracts on electricity are traded on the secondary market This seminar aims to: Describe the various standard contracts available
More information論文題目 : Catastrophe Risk Management and Credit Enhancement by Using Contingent Capital
論文題目 : Catastrophe Risk Management and Credit Enhancement by Using Contingent Capital 報名編號 :B0039 Abstract Catastrophe risk comprises exposure to losses from man-made and natural disasters, and recently
More informationHandbook of Financial Risk Management
Handbook of Financial Risk Management Simulations and Case Studies N.H. Chan H.Y. Wong The Chinese University of Hong Kong WILEY Contents Preface xi 1 An Introduction to Excel VBA 1 1.1 How to Start Excel
More informationReplication and Absence of Arbitrage in Non-Semimartingale Models
Replication and Absence of Arbitrage in Non-Semimartingale Models Matematiikan päivät, Tampere, 4-5. January 2006 Tommi Sottinen University of Helsinki 4.1.2006 Outline 1. The classical pricing model:
More informationAMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY TOKYO Academic Press is an Imprint of Elsevier
Computational Finance Using C and C# Derivatives and Valuation SECOND EDITION George Levy ELSEVIER AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY TOKYO
More informationFinancial Engineering. Craig Pirrong Spring, 2006
Financial Engineering Craig Pirrong Spring, 2006 March 8, 2006 1 Levy Processes Geometric Brownian Motion is very tractible, and captures some salient features of speculative price dynamics, but it is
More informationA Regime-Switching Relative Value Arbitrage Rule
A Regime-Switching Relative Value Arbitrage Rule Michael Bock and Roland Mestel University of Graz, Institute for Banking and Finance Universitaetsstrasse 15/F2, A-8010 Graz, Austria {michael.bock,roland.mestel}@uni-graz.at
More informationStudies in Computational Intelligence
Studies in Computational Intelligence Volume 697 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: kacprzyk@ibspan.waw.pl About this Series The series Studies in Computational
More informationLecture 8: The Black-Scholes theory
Lecture 8: The Black-Scholes theory Dr. Roman V Belavkin MSO4112 Contents 1 Geometric Brownian motion 1 2 The Black-Scholes pricing 2 3 The Black-Scholes equation 3 References 5 1 Geometric Brownian motion
More information- 1 - **** d(lns) = (µ (1/2)σ 2 )dt + σdw t
- 1 - **** These answers indicate the solutions to the 2014 exam questions. Obviously you should plot graphs where I have simply described the key features. It is important when plotting graphs to label
More informationFinancial Modeling, Actuarial Valuation and Solvency in Insurance
Mario V. Wiithrich Michael Merz Financial Modeling, Actuarial Valuation and Solvency in Insurance 4y Springer Contents 1 Introduction 1 1.1 Full Balance Sheet Approach 3 1.2 -Solvency Considerations 4
More informationPreface Objectives and Audience
Objectives and Audience In the past three decades, we have witnessed the phenomenal growth in the trading of financial derivatives and structured products in the financial markets around the globe and
More informationStochastic modelling of electricity markets Pricing Forwards and Swaps
Stochastic modelling of electricity markets Pricing Forwards and Swaps Jhonny Gonzalez School of Mathematics The University of Manchester Magical books project August 23, 2012 Clip for this slide Pricing
More informationTHE USE OF NUMERAIRES IN MULTI-DIMENSIONAL BLACK- SCHOLES PARTIAL DIFFERENTIAL EQUATIONS. Hyong-chol O *, Yong-hwa Ro **, Ning Wan*** 1.
THE USE OF NUMERAIRES IN MULTI-DIMENSIONAL BLACK- SCHOLES PARTIAL DIFFERENTIAL EQUATIONS Hyong-chol O *, Yong-hwa Ro **, Ning Wan*** Abstract The change of numeraire gives very important computational
More informationQuantitative Modelling of Market Booms and Crashes
Quantitative Modelling of Market Booms and Crashes Ilya Sheynzon (LSE) Workhop on Mathematics of Financial Risk Management Isaac Newton Institute for Mathematical Sciences March 28, 2013 October. This
More informationResearch Article Pricing Participating Products under a Generalized Jump-Diffusion Model
Journal of Applied Mathematics and Stochastic Analysis Volume 28, Article ID 474623, 3 pages doi:1.1155/28/474623 Research Article Pricing Participating Products under a Generalized Jump-Diffusion Model
More informationUPDATED IAA EDUCATION SYLLABUS
II. UPDATED IAA EDUCATION SYLLABUS A. Supporting Learning Areas 1. STATISTICS Aim: To enable students to apply core statistical techniques to actuarial applications in insurance, pensions and emerging
More information