Quantitative Equity Portfolio Management

Modern Techniques and Applications

Author: Edward E. Qian,Ronald H. Hua,Eric H. Sorensen

Publisher: CRC Press

ISBN: 1420010794

Category: Mathematics

Page: 464

View: 4375

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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 quantitative investment students. Providing a solid foundation in the subject, Quantitative Equity Portfolio Management: Modern Techniques and Applications presents a self-contained overview and a detailed mathematical treatment of various topics. From the theoretical basis of behavior finance to recently developed techniques, the authors review quantitative investment strategies and factors that are commonly used in practice, including value, momentum, and quality, accompanied by their academic origins. They present advanced techniques and applications in return forecasting models, risk management, portfolio construction, and portfolio implementation that include examples such as optimal multi-factor models, contextual and nonlinear models, factor timing techniques, portfolio turnover control, Monte Carlo valuation of firm values, and optimal trading. In many cases, the text frames related problems in mathematical terms and illustrates the mathematical concepts and solutions with numerical and empirical examples. Ideal for students in computational and quantitative finance programs, Quantitative Equity Portfolio Management serves as a guide to combat many common modeling issues and provides a rich understanding of portfolio management using mathematical analysis.

Portfolio Rebalancing

Author: Edward E. Qian

Publisher: CRC Press

ISBN: 1351647008

Category: Mathematics

Page: 244

View: 9322

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The goal of Portfolio Rebalancing is to provide mathematical and empirical analysis of the effects of portfolio rebalancing on portfolio returns and risks. The mathematical analysis answers the question of when and why fixed-weight portfolios might outperform buy-and-hold portfolios based on volatilities and returns. The empirical analysis, aided by mathematical insights, will examine the effects of portfolio rebalancing in capital markets for asset allocation portfolios and portfolios of stocks, bonds, and commodities.

Portfolio Choice Problems

An Introductory Survey of Single and Multiperiod Models

Author: Nicolas Chapados

Publisher: Springer Science & Business Media

ISBN: 9781461405771

Category: Computers

Page: 96

View: 9409

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This brief offers a broad, yet concise, coverage of portfolio choice, containing both application-oriented and academic results, along with abundant pointers to the literature for further study. It cuts through many strands of the subject, presenting not only the classical results from financial economics but also approaches originating from information theory, machine learning and operations research. This compact treatment of the topic will be valuable to students entering the field, as well as practitioners looking for a broad coverage of the topic.

Die intelligente Asset Allocation

Wie man profitable und abgesicherte Portfolios erstellt

Author: William J. Bernstein

Publisher: FinanzBuch Verlag

ISBN: 3862488365

Category: Business & Economics

Page: 217

View: 2160

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William J. Bernstein ist in Fachkreisen längst als Guru der Investmentwelt bekannt. Er betreibt eine der weltweit erfolgreichsten Investment-Websites. In diesem Buch erklärt er wie man sicher, einfach und ohne großen Zeitaufwand sein Portfolio zusammenstellen kann. Dabei beruft er sich auf Techniken, mit denen seit Jahrzehnten erfolgreich Investiert wird. Mit nur 30 Minuten Zeitaufwand im Jahr kann damit jeder ein Portfolio zusammenstellen, das 75 Prozent aller professionell gemanagten Aktienkörbe hinter sich lässt.

Online Portfolio Selection

Principles and Algorithms

Author: Bin Li,Steven Chu Hong Hoi

Publisher: CRC Press

ISBN: 1482249642

Category: Business & Economics

Page: 212

View: 8204

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With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision task Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the art Investigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment. Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.

Handbook in Monte Carlo Simulation

Applications in Financial Engineering, Risk Management, and Economics

Author: Paolo Brandimarte

Publisher: John Wiley & Sons

ISBN: 1118593642

Category: Business & Economics

Page: 688

View: 4763

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An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization. The Handbook in Monte Carlo Simulation features: An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

Optionsbewertung und Portfolio-Optimierung

Moderne Methoden der Finanzmathematik

Author: Ralf Korn,Elke Korn

Publisher: Springer-Verlag

ISBN: 3322832104

Category: Business & Economics

Page: 294

View: 5978

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Es werden die typischen Aufgabenstellungen der zeitstetigen Modellierung von Finanzmärkten wie Optionsbewertung (insbesondere auch die Black-Scholes-Formel und zugehörige Varianten) und Portfolio-Optimierung (Bestimmen optimaler Investmentstrategien) behandelt. Die benötigten mathematischen Werkzeuge (wie z. B. Brownsche Bewegung, Martingaltheorie, Ito-Kalkül, stochastische Steuerung) werden in selbständigen Exkursen bereitgestellt. Das Buch eignet sich als Grundlage einer Vorlesung, die sich an einen Grundkurs in Stochastik anschließt. Es richtet sich an Mathematiker, Finanz- und Wirtschaftsmathematiker in Studium und Beruf und ist aufgrund seiner modularen Struktur auch für Praktiker in den Bereichen Banken und Versicherungen geeignet.

Risk Analysis in Finance and Insurance, Second Edition

Author: Alexander Melnikov

Publisher: CRC Press

ISBN: 1420070533

Category: Mathematics

Page: 328

View: 3492

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Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many important ideas from mathematics, finance, and actuarial science in a simplified manner. He explores the interconnections among these disciplines and encourages readers toward further study of the subject. This edition continues to study risks associated with financial and insurance contracts, using an approach that estimates the value of future payments based on current financial, insurance, and other information. New to the Second Edition Expanded section on the foundations of probability and stochastic analysis Coverage of new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance More worked examples and problems Reorganized and expanded, this updated book illustrates how to use quantitative methods of stochastic analysis in modern financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis and management.

Introduction to Risk Parity and Budgeting

Author: Thierry Roncalli

Publisher: CRC Press

ISBN: 1482207168

Category: Business & Economics

Page: 440

View: 3798

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Although portfolio management didn’t change much during the 40 years after the seminal works of Markowitz and Sharpe, the development of risk budgeting techniques marked an important milestone in the deepening of the relationship between risk and asset management. Risk parity then became a popular financial model of investment after the global financial crisis in 2008. Today, pension funds and institutional investors are using this approach in the development of smart indexing and the redefinition of long-term investment policies. Written by a well-known expert of asset management and risk parity, Introduction to Risk Parity and Budgeting provides an up-to-date treatment of this alternative method to Markowitz optimization. It builds financial exposure to equities and commodities, considers credit risk in the management of bond portfolios, and designs long-term investment policy. The first part of the book gives a theoretical account of portfolio optimization and risk parity. The author discusses modern portfolio theory and offers a comprehensive guide to risk budgeting. Each chapter in the second part presents an application of risk parity to a specific asset class. The text covers risk-based equity indexation (also called smart beta) and shows how to use risk budgeting techniques to manage bond portfolios. It also explores alternative investments, such as commodities and hedge funds, and applies risk parity techniques to multi-asset classes. The book’s first appendix provides technical materials on optimization problems, copula functions, and dynamic asset allocation. The second appendix contains 30 tutorial exercises. Solutions to the exercises, slides for instructors, and Gauss computer programs to reproduce the book’s examples, tables, and figures are available on the author’s website.

Risikomanagement

Banken, Versicherungen und andere Finanzinstitutionen

Author: John Hull

Publisher: Pearson Deutschland GmbH

ISBN: 9783868940435

Category: Financial institutional

Page: 616

View: 7054

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Methoden der Quantenmechanik mit Mathematica®

Author: James M. Feagin

Publisher: Springer-Verlag

ISBN: 3662087030

Category: Science

Page: 540

View: 622

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Methoden der Quantenmechanik mit Mathematica wendet sich an interessierte Studenten der Physik und Mathematik, die Zugang zu Mathematica haben und dieses umfassende Computer-Algebra-System konsequent auf quantenmechanische Probleme anwenden wollen. Das Buch schöpft die symbolischen, numerischen und grafischen Möglichkeiten von Mathematica voll aus und bietet einen einzigartigen Zugang zur modernen Quantenmechanik. Die 3 1/2" Begleitdiskette enthält sämtliche Mathematica Eingabezeilen sowie die Ergänzungsangaben im Text, so daß der Anwender alle mathematischen Rechenschritte im Buch gleich auf dem Computer nachvollziehen kann. Die Diskette ist für alle IBM -kompatible Systeme sowie für Macintosh und UNIX geeignet.

Portfolio-Performance

Messung, Analyse und Pr„sentation fr institutionelle Investoren

Author: Silke Rieder

Publisher: Diplomica Verlag

ISBN: 3836683547

Category: Business & Economics

Page: 100

View: 5511

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Die Messung der Performance von Anlageprodukten gemeinsam mit der Beurteilung der Performanceleistung der Manager wurde in der Vergangenheit bereits in vielen Ver ffentlichungen ausf hrlich behandelt. Die intensive Besch ftigung mit dem Thema ist im Verm gensverwaltungsgesch ft mit Privatkunden zum gro en Teil durch die Institutionalisierung der Verm gensverwaltung bedingt, aber auch durch die Erbengeneration, die zum quantitativen Wachstum des angelegten Verm gens einen entscheidenden Beitrag liefert. In der institutionellen Verm gensverwaltung sind es vor allem die Globalisierung der Finanzm rkte und die zunehmende Komplexit t der Finanzinstrumente, welche die Performancemessung und -analyse immer wieder vor neue Herausforderungen stellen. Ein weiteres Schrifttum zu diesem Thema zu erstellen erscheint insbesondere vor dem Hintergrund der drastisch ver nderten Ausgangslage mit Zuspitzung der Finanzmarktkrise im Sommer 2008 als notwendig und wertvoll.

Moderne Finanzmathematik – Theorie und praktische Anwendung

Band 1 – Optionsbewertung und Portfolio-Optimierung

Author: Ralf Korn

Publisher: Springer-Verlag

ISBN: 3658041277

Category: Mathematics

Page: 323

View: 2205

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Das Lehrbuch gibt eine Einführung in typische Aufgabenstellungen der modernen Finanzmathematik. Dabei werden im einfachen zeitdiskreten Rahmen die wichtigsten finanzmathematischen Prinzipien (Arbitrage, Duplikation, Diversifikation) und Resultate (Fundamentalsätze der Optionsbewertung) vorgestellt, ohne dass bereits die Methoden der zeitstetigen Marktmodelle benötigt werden. Aufbauend auf der zeitstetigen Modellierung von Finanzmärkten werden dann die Probleme der Optionsbewertung (insbesondere die Black-Scholes-Formel) und der Portfolio-Optimierung (Optimale Investmentstrategien) behandelt. Die benötigten mathematischen Werkzeuge (wie Brownsche Bewegung, Martingaltheorie, Itô-Kalkül, stochastische Steuerung) werden in selbständigen Exkursen bereitgestellt. Direkte Beziehungen zur Anwendung in der Praxis der Finanzindustrie werden in einleitenden Abschnitten, durch die Vorstellung populärer Handels- und Garantiestrategien sowie zahlreicher numerischer Verfahren zur Bewertung exotischer Optionen hergestellt. Das Buch eignet sich als Grundlage einer Vorlesung, die sich an einen Grundkurs in Stochastik anschließt. Es richtet sich an Studierende der Mathematik und der Finanzwirtschaft sowie an Praktiker in Banken und Versicherungen.