Quantitative Risk And Portfolio Management
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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.
Quantitative Portfolio Management
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Author : Pierre Brugière
language : en
Publisher: Springer Nature
Release Date : 2020-03-28
Quantitative Portfolio Management written by Pierre Brugière and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-28 with Mathematics categories.
This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily interpretable way. All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and intrinsic approaches for statistical methods, leading to unusually short and elegant proofs. The statistical methods concern both parametric and non-parametric estimators and, to estimate the factors of a model, principal component analysis is explained. The presented Python code and web scraping techniques also make it possible to test the presented concepts on market data. This book will be useful for teaching Masters students and for professionals in asset management, and will be of interest to academics who want to explore a field in which they are not specialists. The ideal pre-requisites consist of undergraduate probability and statistics and a familiarity with linear algebra and matrix manipulation. Those who want to run the code will have to install Python on their pc, or alternatively can use Google Colab on the cloud. Professionals will need to have a quantitative background, being either portfolio managers or risk managers, or potentially quants wanting to double check their understanding of the subject.
Quantitative Risk Management
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Author : Thomas S. Coleman
language : en
Publisher: John Wiley & Sons
Release Date : 2012-03-20
Quantitative Risk Management written by Thomas S. Coleman 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 2012-03-20 with Business & Economics categories.
State of the art risk management techniques and practices—supplemented with interactive analytics All too often risk management books focus on risk measurement details without taking a broader view. Quantitative Risk Management delivers a synthesis of common sense management together with the cutting-edge tools of modern theory. This book presents a road map for tactical and strategic decision making designed to control risk and capitalize on opportunities. Most provocatively it challenges the conventional wisdom that "risk management" is or ever should be delegated to a separate department. Good managers have always known that managing risk is central to a financial firm and must be the responsibility of anyone who contributes to the profit of the firm. A guide to risk management for financial firms and managers in the post-crisis world, Quantitative Risk Management updates the techniques and tools used to measure and monitor risk. These are often mathematical and specialized, but the ideas are simple. The book starts with how we think about risk and uncertainty, then turns to a practical explanation of how risk is measured in today's complex financial markets. Covers everything from risk measures, probability, and regulatory issues to portfolio risk analytics and reporting Includes interactive graphs and computer code for portfolio risk and analytics Explains why tactical and strategic decisions must be made at every level of the firm and portfolio Providing the models, tools, and techniques firms need to build the best risk management practices, Quantitative Risk Management is an essential volume from an experienced manager and quantitative analyst.
Quantitative Risk Management
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Author : Rudiger Frey
language : en
Publisher:
Release Date : 2010
Quantitative Risk Management written by Rudiger Frey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Quantitative Risk And Portfolio Management
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Author : Kenneth Winston
language : en
Publisher: Cambridge University Press
Release Date : 2023-09-21
Quantitative Risk And Portfolio Management written by Kenneth Winston and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-21 with Business & Economics categories.
A book combining the rigour of academic finance with the pragmatism of hands-on finance.
Quantitative Risk And Portfolio Management
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Author : Kenneth James Winston
language : en
Publisher:
Release Date : 2023
Quantitative Risk And Portfolio Management written by Kenneth James Winston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Financial risk management categories.
"A modern introduction to risk and portfolio management for advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance, including extensive live data and Python code which allow the application of theory to real-world situations"--
Strategic Risk Management
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Author : Campbell R. Harvey
language : en
Publisher: John Wiley & Sons
Release Date : 2021-05-04
Strategic Risk Management written by Campbell R. Harvey 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 2021-05-04 with Business & Economics categories.
STRATEGIC RISK MANAGEMENT Having just experienced a global pandemic that sent equity markets into a tailspin in March 2020, risk management is a more relevant topic than ever. It remains, however, an often poorly understood afterthought. Many portfolios are designed without any thought given to risk management before they are handed off to a dedicated—but separate—risk management team. In Strategic Risk Management: Designing Portfolios and Managing Risk, Campbell R. Harvey, Sandy Rattray, and Otto Van Hemert deliver a reimagining of the risk management process. The book envisions a marriage between the investment and risk processes, an approach that has proven successful at the world’s largest publicly listed hedge fund, Man Group. The authors provide readers with a new framework for portfolio design that includes defensive strategies, drawdown risk controls, volatility targeting, and actively timing rebalancing trades. You will learn about how the book’s new approach to risk management fared during the recent market drawdown at the height of the COVID-19 pandemic. You will also discover why the traditional risk weighting approach only works on certain classes of assets. The book shows you how to accurately evaluate the costs of defensive strategies and which ones offer the best and most cost-effective protection against market downturns. Finally, you will learn how to obtain a more balanced return stream by targeting volatility rather than a constant notional exposure and gain a deeper understanding of concepts like portfolio rebalancing. Perfect for people working in the asset management industry and financial policy makers, Strategic Risk Management: Designing Portfolios and Managing Risk will also earn a place in the libraries of economics and finance scholars, as well as casual readers who take an active approach to investing in their savings or pension assets. PRAISE FOR STRATEGIC RISK MANAGEMENT “Strategic Risk Management shows how to fully embed risk management into the portfolio management process as an equal partner to alpha. This should clearly be best practice for all asset managers.” —Jase Auby, Chief Investment Officer, the Teacher Retirement System of Texas “This book shows the power of integrating risk and investment management, rather than applying risk management as an afterthought to satisfy set limits. I was pleased to shepherd some of the key ideas in this book through the publication process at The Journal of Portfolio Management.” —Frank J. Fabozzi, Editor, The Journal of Portfolio Management “Financial markets today are quite different from those of the last century. Understanding leverage, correlations, tails, and other risk parameters of a portfolio is at least as important as work on signals and alpha. In that sense, bringing risk management from ‘control’ to ‘front office’ should be a priority for asset managers. This book explains how to do it.” —Marko Kolanovic, Chief Global Market Strategist, J.P. Morgan A powerful new approach to risk management in volatile and uncertain markets While the COVID-19 pandemic threw the importance of effective risk management into sharp relief, many investment firms hang on to a traditional and outdated model of risk management. Using siloed and independent portfolio management and risk monitoring teams, these firms miss out on the opportunities presented by integrated risk management. Strategic Risk Management: Designing Portfolios and Managing Risk delivers a fresh approach to risk management in difficult market conditions. The accomplished author team advocates for the amalgamation of portfolio design and risk monitoring teams, incorporating risk management into every aspect of portfolio design. The book provides a roadmap for the crucial aspects of portfolio design, including defensive strategies, drawdown risk controls, volatility targeting, and actively timing rebalancing trades. You will discover how these techniques helped the authors achieve remarkable results during the market drawdown in the midst of the COVID-19 pandemic and how they can help you protect your assets against unpredictable—but inevitable—future bear markets. Ideal for professionals in the asset management industry, Strategic Risk Management: Designing Portfolios and Managing Risk is a valuable resource for financial policy makers, economics and finance scholars, and anyone with even a passing interest in taking an active role in investing for their future.
Quantitative Credit Portfolio Management
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Author : Arik Ben Dor
language : en
Publisher: John Wiley & Sons
Release Date : 2011-11-08
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 2011-11-08 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 Equity Portfolio Management
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Author : Edward E. Qian
language : en
Publisher: CRC Press
Release Date : 2007-05-11
Quantitative Equity Portfolio Management written by Edward E. Qian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-11 with Business & Economics categories.
Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for
Risk And Portfolio Analysis
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Author : Henrik Hult
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-20
Risk And Portfolio Analysis written by Henrik Hult 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 2012-07-20 with Mathematics categories.
Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of applied mathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into actual decisions. In Risk and Portfolio Analysis the authors present sound principles and useful methods for making investment and risk management decisions in the presence of hedgeable and non-hedgeable risks using the simplest possible principles, methods, and models that still capture the essential features of the real-world problems. They use rigorous, yet elementary mathematics, avoiding technically advanced approaches which have no clear methodological purpose and are practically irrelevant. The material progresses systematically and topics such as the pricing and hedging of derivative contracts, investment and hedging principles from portfolio theory, and risk measurement and multivariate models from risk management are covered appropriately. The theory is combined with numerous real-world examples that illustrate how the principles, methods, and models can be combined to approach concrete problems and to draw useful conclusions. Exercises are included at the end of the chapters to help reinforce the text and provide insight. This book will serve advanced undergraduate and graduate students, and practitioners in insurance, finance as well as regulators. Prerequisites include undergraduate level courses in linear algebra, analysis, statistics and probability.