Essays In Quantitative Finance On Risk Management And Credit Portfolio Optimisation
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Essays In Quantitative Finance On Risk Management And Credit Portfolio Optimisation
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Author : Zhi Wang
language : en
Publisher:
Release Date : 2011
Essays In Quantitative Finance On Risk Management And Credit Portfolio Optimisation written by Zhi Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
This thesis discusses three topics in the area of quantitative finance in relation to risk and credit portfolio management. Chapter 2 investigates the issue of estimating and testing the goodness-of-fit of a model for a dependence break. The dependence is modelled by copulas and an unknown break of dependence structure is allowed for by including a dummy variable in the copula. The model is selected by minimizing the Akaike Information Criterion (AIC) of each candidate breaking point. The candidate models are estimated by a well-established two-step Maximum Likelihood (ML) approach, namely "Inference Function for Margin" (IFM). Moreover, we examine 5 single-factor copulas and compare them to each other by AIC criteria. A parametric bootstrap goodness-of-fit test is also proposed. Empirically, the dependence structures of stock indices between the US-UK and US-Japan markets during the Subprime crisis are examined. We found breaks in both dependence structures. In Chapter 3, a new general approach is developed for optimizing a credit portfolio by minimizing the default risk of a whole credit portfolio subject to a certain target premium. The approach is rooted in concepts from Modem Portfolio Theory. The default risk is measured by a quadratic form of weights and a matrix containing information about default correlations between any two single-names and default intensities of each single-name. The default correlation and the default intensities are modelled by a new binomial intensity model. A Genetic Algorithm (GA) approach is also introduced to optimize a credit portfolio with the purpose of overcoming limitations of the analytical method and the traditional numerical method based on the first order condition. Empirically, the approach is applied to optimize Credit Default Swap (CDS) portfolios consisting of members of iTraxx and CDX indices. In Chapter 4, we focus on modelling counterparty risks of two important financial instruments: the Interest Rate Swap (IRS) and the CDS. Analytical solutions are derived for the theoretical fair prices of the IRS and the CDS under various assumptions of defaults of counterparties. Also a Monte Carlo approach is proposed as a numerical solution for the fair prices. Numerical experiments are designed to study the effects of various factors on the fair price. Empirically, we examine the counterparty risk of a CDS portfolio, composed of randomly selected single-names from iTraxx series 10.
Quantitative Portfolio Optimisation Asset Allocation And Risk Management
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Author : M. Rasmussen
language : en
Publisher: Springer
Release Date : 2002-12-13
Quantitative Portfolio Optimisation Asset Allocation And Risk Management written by M. Rasmussen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-12-13 with Business & Economics categories.
Targeted towards institutional asset managers in general and chief investment officers, portfolio managers and risk managers in particular, this practical book serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an accessible yet rigorous approach to investment management, it gradually introduces ever more advanced quantitative tools for these areas. Using extensive examples, this book guides the reader from basic return and risk analysis, all the way through to portfolio optimization and risk characterization, and finally on to fully fledged quantitative asset allocation and risk management. It employs such tools as enhanced modern portfolio theory using Monte Carlo simulation and advanced return distribution analysis, analysis of marginal contributions to absolute and active portfolio risk, Value-at-Risk and Extreme Value Theory. All this is performed within the same conceptual, theoretical and empirical framework, providing a self-contained, comprehensive reading experience with a strongly practical aim.
Computational Methods In Financial Engineering
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Author : Erricos Kontoghiorghes
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-26
Computational Methods In Financial Engineering written by Erricos Kontoghiorghes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-26 with Business & Economics categories.
Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance.
Quantitative Fund Management
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Author : M.A.H. Dempster
language : en
Publisher: CRC Press
Release Date : 2008-12-22
Quantitative Fund Management written by M.A.H. Dempster and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-22 with Business & Economics categories.
The First Collection That Covers This Field at the Dynamic Strategic and One-Period Tactical Levels. Addressing the imbalance between research and practice, Quantitative Fund Management presents leading-edge theory and methods, along with their application in practical problems encountered in the fund management industry. A Current Snapshot of State-of-the-Art Applications of Dynamic Stochastic Optimization Techniques to Long-Term Financial Planning - The first part of the book initially looks at how the quantitative techniques of the equity industry are shifting from basic Markowitz mean-variance portfolio optimization to risk management and trading applications. This section also explores novel aspects of lifetime individual consumption investment problems, fixed-mix portfolio rebalancing allocation strategies, debt management for funding mortgages and national debt, and guaranteed return fund construction. Up-to-Date Overview of Tactical Financial Planning and Risk Management - The second section covers nontrivial computational approaches to tactical fund management. This part focuses on portfolio construction and risk management at the individual security or fund manager level over the period up to the next portfolio rebalance. It discusses non-Gaussian returns, new risk-return tradeoffs, and the robustness of benchmarks and portfolio decisions. The Future Use of Quantitative Techniques in Fund Management - With contributions from well-known academics and practitioners, this volume will undoubtedly foster the recognition and wider acceptance of stochastic optimization techniques in financial practice.
The Art Of Quantitative Finance Vol 3
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Author : Gerhard Larcher
language : en
Publisher:
Release Date : 2023
The Art Of Quantitative Finance Vol 3 written by Gerhard Larcher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
The textbook discusses risk management in capital markets and presents various techniques of portfolio optimization. Special attention is given to risk measurement and credit risk management. Furthermore, the author discusses optimal investment problems and presents various examples. In the last section, the book includes numerous case studies based on the author's own work as a fund manager, court-appointed expert and consultant in the field of quantitative finance. This book is the third volume of the quantitative finance trilogy by the author and builds on the theoretical groundwork introduced in the previous books. The volume presents real-life examples of the successful application of the introduced techniques and methods in financial services and capital markets.
Quantitative Credit Portfolio Management
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Author : Arik Ben Dor
language : en
Publisher: John Wiley & Sons
Release Date : 2011-12-06
Quantitative Credit Portfolio Management written by Arik Ben Dor and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-06 with Business & Economics categories.
An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds—spread, liquidity, and Treasury yield curve risk—as well as managing corporate bond portfolios. Presents comprehensive coverage of everything from duration time spread and liquidity cost scores to capturing the credit spread premium Written by the number one ranked quantitative research group for four consecutive years by Institutional Investor Provides practical answers to difficult question, including: What diversification guidelines should you adopt to protect portfolios from issuer-specific risk? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.
Quantitative Finance And Risk Management
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Author : Jan W Dash
language : en
Publisher: World Scientific Publishing Company
Release Date : 2016-05-10
Quantitative Finance And Risk Management written by Jan W Dash and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-10 with Business & Economics categories.
Written by a physicist with extensive experience as a risk/finance quant, this book treats a wide variety of topics. Presenting the theory and practice of quantitative finance and risk, it delves into the "how to" and "what it's like" aspects not covered in textbooks or papers. A "Technical Index" indicates the mathematical level for each chapter. This second edition includes some new, expanded, and wide-ranging considerations for risk management: Climate Change and its long-term systemic risk; Markets in Crisis and the Reggeon Field Theory; "Smart Monte Carlo" and American Monte Carlo; Trend Risk — time scales and risk, the Macro–Micro model, singular spectrum analysis; credit risk: counterparty risk and issuer risk; stressed correlations — new techniques; and Psychology and option models. Solid risk management topics from the first edition and valid today are included: standard/advanced theory and practice in fixed income, equities, and FX; quantitative finance and risk management — traditional/exotic derivatives, fat tails, advanced stressed VAR, model risk, numerical techniques, deals/portfolios, systems, data, economic capital, and a function toolkit; risk lab — the nuts and bolts of risk management from the desk to the enterprise; case studies of deals; Feynman path integrals, Green functions, and options; and "Life as a Quant" — communication issues, sociology, stories, and advice.
Financial Risk Management
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Author : Jimmy Skoglund
language : en
Publisher: John Wiley & Sons
Release Date : 2015-09-08
Financial Risk Management written by Jimmy Skoglund and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-08 with Business & Economics categories.
A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.
Portfolio Construction Measurement And Efficiency
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Author : John B. Guerard, Jr.
language : en
Publisher: Springer
Release Date : 2016-09-23
Portfolio Construction Measurement And Efficiency written by John B. Guerard, Jr. and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-23 with Business & Economics categories.
This volume, inspired by and dedicated to the work of pioneering investment analyst, Jack Treynor, addresses the issues of portfolio risk and return and how investment portfolios are measured. In a career spanning over fifty years, the primary questions addressed by Jack Treynor were: Is there an observable risk-return trade-off? How can stock selection models be integrated with risk models to enhance client returns? Do managed portfolios earn positive, and statistically significant, excess returns and can mutual fund managers time the market? Since the publication of a pair of seminal Harvard Business Review articles in the mid-1960’s, Jack Treynor has developed thinking that has greatly influenced security selection, portfolio construction and measurement, and market efficiency. Key publications addressed such topics as the Capital Asset Pricing Model and stock selection modeling and integration with risk models. Treynor also served as editor of the Financial Analysts Journal, through which he wrote many columns across a wide spectrum of topics. This volume showcases original essays by leading researchers and practitioners exploring the topics that have interested Treynor while applying the most current methodologies. Such topics include the origins of portfolio theory, market timing, and portfolio construction in equity markets. The result not only reinforces Treynor’s lasting contributions to the field but suggests new areas for research and analysis.
Recent Applications Of Financial Risk Modelling And Portfolio Management
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Author : Škrinjari?, Tihana
language : en
Publisher: IGI Global
Release Date : 2020-09-25
Recent Applications Of Financial Risk Modelling And Portfolio Management written by Škrinjari?, Tihana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Business & Economics categories.
In today’s financial market, portfolio and risk management are facing an array of challenges. This is due to increasing levels of knowledge and data that are being made available that have caused a multitude of different investment models to be explored and implemented. Professionals and researchers in this field are in need of up-to-date research that analyzes these contemporary models of practice and keeps pace with the advancements being made within financial risk modelling and portfolio control. Recent Applications of Financial Risk Modelling and Portfolio Management is a pivotal reference source that provides vital research on the use of modern data analysis as well as quantitative methods for developing successful portfolio and risk management techniques. While highlighting topics such as credit scoring, investment strategies, and budgeting, this publication explores diverse models for achieving investment goals as well as improving upon traditional financial modelling methods. This book is ideally designed for researchers, financial analysts, executives, practitioners, policymakers, academicians, and students seeking current research on contemporary risk management strategies in the financial sector.