Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization PDF Download

Author: Svetlozar T. Rachev
Publisher: Wiley
ISBN: 0470253606
Category : Business & Economics
Languages : en
Pages : 416

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Book Description
This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework. Throughout these pages, the expert authors explain the fundamentals of probability metrics, outline new approaches to portfolio optimization, and discuss a variety of essential risk measures. Using numerous examples, they illustrate a range of applications to optimal portfolio choice and risk theory, as well as applications to the area of computational finance that may be useful to financial engineers.

Author: Svetlozar T. Rachev
Publisher: John Wiley & Sons
ISBN: 111808618X
Category : Business & Economics
Languages : en
Pages : 404

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Book Description
Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization The finance industry is seeing increased interest in new risk measures and techniques for portfolio optimization when parameters of the model are uncertain. This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework. Throughout these pages, the expert authors explain the fundamentals of probability metrics, outline new approaches to portfolio optimization, and discuss a variety of essential risk measures. Using numerous examples, they illustrate a range of applications to optimal portfolio choice and risk theory, as well as applications to the area of computational finance that may be useful to financial engineers. They also clearly show how stochastic models, risk assessment, and optimization are essential to mastering risk, uncertainty, and performance measurement. Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization provides quantitative portfolio managers (including hedge fund managers), financial engineers, consultants, and academic researchers with answers to the key question of which risk measure is best for any given problem.

Author: Ralf Korn
Publisher: World Scientific
ISBN: 9812385347
Category : Business & Economics
Languages : en
Pages : 352

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Book Description
The focus of the book is the construction of optimal investment strategies in a security market model where the prices follow diffusion processes. It begins by presenting the complete Black-Scholes type model and then moves on to incomplete models and models including constraints and transaction costs. The models and methods presented will include the stochastic control method of Merton, the martingale method of Cox-Huang and Karatzas et al., the log optimal method of Cover and Jamshidian, the value-preserving model of Hellwig etc.

Author: W. Brent Lindquist
Publisher: Springer Nature
ISBN: 3031152867
Category : Business & Economics
Languages : en
Pages : 268

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Book Description
This book provides an investor-friendly presentation of the premises and applications of the quantitative finance models governing investment in one asset class of publicly traded stocks, specifically real estate investment trusts (REITs). The models provide highly advanced analytics for REIT investment, including: portfolio optimization using both historic and predictive return estimation; model backtesting; a complete spectrum of risk assessment and management tools with an emphasis on early warning systems, risk budgeting, estimating tail risk, and factor analysis; derivative valuation; and incorporating ESG ratings into REIT investment. These quantitative finance models are presented in a unified framework consistent with dynamic asset pricing (rational finance). Given its scope and practical orientation, this book will appeal to investors interested in portfolio optimization and innovative tools for investment risk assessment.

Author: Rudabeh Meskarian
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
This project is focused on stochastic models and methods and their application in portfolio optimization and risk management. In particular it involves development and analysis of novel numerical methods for solving these types of problem. First, we study new numerical methods for a general second order stochastic dominance model where the underlying functions are not necessarily linear. Specifically, we penalize the second order stochastic dominance constraints to the objective under Slater's constraint qualification and then apply the well known stochastic approximation method and the level function methods to solve the penalized problem and present the corresponding convergence analysis. All methods are applied to some portfolio optimization problems, where the underlying functions are not necessarily linear all results suggests that the portfolio strategy generated by the second order stochastic dominance model outperform the strategy generated by the Markowitz model in a sense of having higher return and lower risk. Furthermore a nonlinear supply chain problem is considered, where the performance of the level function method is compared to the cutting plane method. The results suggests that the level function method is more efficient in a sense of having lower CPU time as well as being less sensitive to the problem size. This is followed by study of multivariate stochastic dominance constraints. We propose a penalization scheme for the multivariate stochastic dominance constraint and present the analysis regarding the Slater constraint qualification. The penalized problem is solved by the level function methods and a modified cutting plane method and compared to the cutting surface method proposed in [70] and the linearized method proposed in [4]. The convergence analysis regarding the proposed algorithms are presented. The proposed numerical schemes are applied to a generic budget allocation problem where it is shown that the proposed methods outperform the linearized method when the problem size is big. Moreover, a portfolio optimization problem is considered where it is shown that the a portfolio strategy generated by the multivariate second order stochastic dominance model outperform the portfolio strategy generated by the Markowitz model in sense of having higher return and lower risk. Also the performance of the algorithms is investigated with respect to the computation time and the problem size. It is shown that the level function method and the cutting plane method outperform the cutting surface method in a sense of both having lower CPU time as well as being less sensitive to the problem size. Finally, reward-risk analysis is studied as an alternative to stochastic dominance. Specifically, we study robust reward-risk ratio optimization. We propose two robust formulations, one based on mixture distribution, and the other based on the first order moment approach. We propose a sample average approximation formulation as well as a penalty scheme for the two robust formulations respectively and solve the latter with the level function method. The convergence analysis are presented and the proposed models are applied to Sortino ratio and some numerical test results are presented. The numerical results suggests that the robust formulation based on the first order moment results in the most conservative portfolio strategy compared to the mixture distribution model and the nominal model.

Author: Michele Leonardo Bianchi
Publisher: World Scientific
ISBN: 9813276215
Category : Business & Economics
Languages : en
Pages : 598

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Book Description
The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.

Author: John B. Guerard, Jr.
Publisher: Springer Science & Business Media
ISBN: 0387774394
Category : Business & Economics
Languages : en
Pages : 796

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Book Description
Portfolio construction is fundamental to the investment management process. In the 1950s, Harry Markowitz demonstrated the benefits of efficient diversification by formulating a mathematical program for generating the "efficient frontier" to summarize optimal trade-offs between expected return and risk. The Markowitz framework continues to be used as a basis for both practical portfolio construction and emerging research in financial economics. Such concepts as the Capital Asset Pricing Model (CAPM) and the Arbitrage Pricing Theory (APT), for example, provide the foundation for setting benchmarks, for predicting returns and risk, and for performance measurement. This volume showcases original essays by some of today’s most prominent academics and practitioners in the field on the contemporary application of Markowitz techniques. Covering a wide spectrum of topics, including portfolio selection, data mining tests, and multi-factor risk models, the book presents a comprehensive approach to portfolio construction tools, models, frameworks, and analyses, with both practical and theoretical implications.

Author: W. T. Ziemba
Publisher: World Scientific
ISBN: 9812773657
Category : Business & Economics
Languages : en
Pages : 756

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Book Description
A reprint of one of the classic volumes on portfolio theory and investment, this book has been used by the leading professors at universities such as Stanford, Berkeley, and Carnegie-Mellon. It contains five parts, each with a review of the literature and about 150 pages of computational and review exercises and further in-depth, challenging problems. Frequently referenced and highly usable, the material remains as fresh and relevant for a portfolio theory course as ever. Sample Chapter(s). Chapter 1: Expected Utility Theory (373 KB). Contents: Mathematical Tools: Expected Utility Theory; Convexity and the Kuhn-Tucker Conditions; Dynamic Programming; Qualitative Economic Results: Stochastic Dominance; Measures of Risk Aversion; Separation Theorems; Static Portfolio Selection Models: Mean-Variance and Safety First Approaches and Their Extensions; Existence and Diversification of Optimal Portfolio Policies: Effects of Taxes on Risk Taking; Dynamic Models Reducible to Static Models: Models That Have a Single Decision Point; Risk Aversion over Time Implies Static Risk Aversion; Myopic Portfolio Policies; Dynamic Models: Two-Period Consumption Models and Portfolio Revision; Models of Optimal Capital Accumulation and Portfolio Selection; Models of Option Strategy; The Capital Growth Criterion and Continuous-Time Models. Readership: Postdoctoral and graduate students, researchers, academics, and professionals interested in portfolio theory and stochastic optimization.

Author: Kees Koedijk
Publisher: John Wiley & Sons
ISBN: 1119437725
Category : Business & Economics
Languages : en
Pages : 392

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Book Description
Crucial methods, tactics and tools for successful pension fund management Achieving Investment Excellence offers trustees and asset managers a comprehensive handbook for improving the quality of their investments. With a stated goal of substantially and sustainably improving annual returns, this book clarifies and demystifies important concepts surrounding trustee duties and responsibilities, investment strategies, analysis, evaluation and much more. Low interest rates are making the high cost of future pension payouts fraught with tension, even as the time and knowledge required to manage these funds appropriately increases — it is no wonder that pensions are increasingly seen as a financial liability. Now more than ever, it is critical that trustees understand exactly what contributes to investment success — and what detracts from it. This book details the roles, the tools and the strategies that make pension funds pay off. Understand the role of pension funds and the fiduciary duty of trustees Learn the tools and kills you need to build profound and lasting investment excellence Analyse, diagnose and improve investment quality of funds using concrete tools and instruments Study illustrative examples that demonstrate critical implementation and execution advice Packed with expert insight, crucial tools and real-life examples, this book is an important resource for those tasked with governing these. Achieving Investment Excellence provides the expert insight, clear guidance and key wisdom you need to manage these funds successfully.

Author: Jarrod W. Wilcox
Publisher: John Wiley & Sons
ISBN: 1118415329
Category : Business & Economics
Languages : en
Pages : 401

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Book Description
A practical guide to adapting financial advice and investing to a post crisis world There's no room for "business as usual" in today's investment management environment. Following the recent financial crisis, both retail and institutional investors are searching for new ways to oversee investment portfolios. How do you combine growth with a focus on wealth preservation? This book offers you a fresh perspective on the changes in tools and strategies needed to effectively achieve this goal. Financial Advice and Investment Decisions provides today's investment professionals with the conceptual framework and practical tools they need to successfully invest in and manage an investment portfolio with wealth preservation as a key concern. While there are many qualitative discussions, the authors present strong quantitative theory and practice in the form of small conceptual models, simulation, and empirical research. A comprehensive guide to properly managing investments with a focus on matching security and growth goals with the needs of the investor Blends insights gleaned from portfolio management practices used prior to the market mayhem of 2007-2009 with cutting-edge academic and professional investment research Includes innovative and wide-ranging treatment of subjects such as augmented balance sheets, the efficiency of markets, saving, spending, and investing habits, and dealing with uncertainty Description of opportunities for improving the investing environment The recent financial crisis has opened our eyes to the need for improving the way we invest. This book will put you in a better position to excel in this new economic environment.