Essays On Quantitative Risk Management With An Application To Asset Allocation Problems
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Essays On Quantitative Risk Management With An Application To Asset Allocation Problems
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Author : Sascha Offermann
language : en
Publisher:
Release Date : 2022
Essays On Quantitative Risk Management With An Application To Asset Allocation Problems written by Sascha Offermann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Essays In Quantitative Risk Management For Financial Regulation Of Operational Risk Models
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Author : Pavan Aroda
language : en
Publisher:
Release Date : 2016
Essays In Quantitative Risk Management For Financial Regulation Of Operational Risk Models written by Pavan Aroda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
An extensive amount of evolving guidance and rules are provided to banks by financial regulators. A particular set of instructions outline requirements to calculate and set aside loss-absorbing regulatory capital to ensure the solvency of a bank. Mathematical models are typically used by banks to quantify sufficient amounts of capital. In this thesis, we explore areas that advance our knowledge in regulatory risk management. In the first essay, we explore an aspect of operational risk loss modeling using scenario analysis. An actuarial modeling method is typically used to quantify a baseline capital value which is then layered with a judgemental component in order to account for and integrate what-if future potential losses into the model. We propose a method from digital signal processing using the convolution operator that views the problem of the blending of two signals. That is, a baseline loss distribution obtained from the modeling of frequency and severity of internal losses is combined with a probability distribution obtained from scenario responses to yield a final output that integrates both sets of information. In the second essay, we revisit scenario analysis and the potential impact of catastrophic events to that of the enterprise level of a bank. We generalize an algorithm to account for multiple level of intensities of events together with unique loss profiles depending on the business units effected. In the third essay, we investigate the problem of allocating aggregate capital across sub-portfolios in a fair manner when there are various forms of interdependencies. Relevant to areas of market, credit and operational risk, the multivariate shortfall allocation problem quantifies the optimal amount of capital needed to ensure that the expected loss under a convex loss penalty function remains bounded by a threshold. We first provide an application of the existing methodology to a subset of high frequency loss cells. Lastly, we provide an extension using copula models which allows for the modeling of joint fat-tailed events or asymmetries in the underlying process.
Innovations In Quantitative Risk Management
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Author : Kathrin Glau
language : en
Publisher: Springer
Release Date : 2015-01-09
Innovations In Quantitative Risk Management written by Kathrin Glau and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-09 with Mathematics categories.
Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.
Essays On Financial Risk Management And Asset Allocation
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Author :
language : en
Publisher:
Release Date : 2017
Essays On Financial Risk Management And Asset Allocation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Quantitative Topics In Portfolio And Risk Management
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Author : Emlyn James Flint
language : en
Publisher:
Release Date : 2019
Quantitative Topics In Portfolio And Risk Management written by Emlyn James Flint and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
The modern quantitative portfolio manager is the quintessential 0́−jack of all trades0́+. Not only do they need to be an expert in the specific area of portfolio management, they also need to have a thorough understanding of the related areas of valuation, data processing, risk management and performance analysis. What this means practically is that quantitative portfolio managers are regularly faced with problems spanning the entire P ? Q spectrum of quantitative finance. Spurred by this reality, the central research question motivating this thesis is exactly the core motivation behind every decision taken by a quantitative portfolio manager: What is the most efficient, practical method for constructing, managing and evaluating optimal multi-asset portfolios in dynamic, non-normal markets? In this thesis, we attempt to provide insight into this broad central research question by offering new perspectives and practical solutions to a selection of sub-problems that a quantitative portfolio manager would have to address in practice. In particular, this thesis is comprised of six essays that each tackle specific problems in the related areas of derivatives, return modelling, systematic trading strategies and portfolio construction.
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.
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.
Essays On Quantitative Risk Management
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Author : Fei Fei
language : en
Publisher:
Release Date : 2013
Essays On Quantitative Risk Management written by Fei Fei and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Innovations In Quantitative Risk Management
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Author : Kathrin Glau
language : en
Publisher: Springer
Release Date : 2015-01-14
Innovations In Quantitative Risk Management written by Kathrin Glau and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-14 with Mathematics categories.
Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.
Mathematical Risk Analysis
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Author : Ludger Rüschendorf
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-12
Mathematical Risk Analysis written by Ludger Rüschendorf 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 2013-03-12 with Mathematics categories.
The author's particular interest in the area of risk measures is to combine this theory with the analysis of dependence properties. The present volume gives an introduction of basic concepts and methods in mathematical risk analysis, in particular of those parts of risk theory that are of special relevance to finance and insurance. Describing the influence of dependence in multivariate stochastic models on risk vectors is the main focus of the text that presents main ideas and methods as well as their relevance to practical applications. The first part introduces basic probabilistic tools and methods of distributional analysis, and describes their use to the modeling of dependence and to the derivation of risk bounds in these models. In the second, part risk measures with a particular focus on those in the financial and insurance context are presented. The final parts are then devoted to applications relevant to optimal risk allocation, optimal portfolio problems as well as to the optimization of insurance contracts. Good knowledge of basic probability and statistics as well as of basic general mathematics is a prerequisite for comfortably reading and working with the present volume, which is intended for graduate students, practitioners and researchers and can serve as a reference resource for the main concepts and techniques.