Handbook of Portfolio Construction

Handbook of Portfolio Construction PDF 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.

Handbook of Portfolio Construction

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

Get Book Here

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.

Realistic Simulation of Financial Markets

Realistic Simulation of Financial Markets PDF Author: Hajime Kita
Publisher: Springer
ISBN: 4431550577
Category : Business & Economics
Languages : en
Pages : 205

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Book Description
This book takes up unique agent-based approaches to solving problems related to stock and their derivative markets. Toward this end, the authors have worked for more than 15 years on the development of an artificial market simulator called U-Mart for use as a research and educational tool. A noteworthy feature of the U-Mart simulator compared to other artificial market simulators is that U-Mart is an ultra-realistic artificial stock and their derivative market simulator. For example, it can simulate “arrowhead,” a next-generation trading system used in the Tokyo Stock Exchange and other major markets, as it takes into consideration the institutional design of the entire market. Another interesting feature of the U-Mart simulator is that it permits both human and computer programs to participate simultaneously as traders in the artificial market. In this book, first the details of U-Mart are explained, enabling readers to install and run the simulator on their computers for research and educational purposes. The simulator thus can be used for gaming simulation of the artificial market and even for users as agents to implement their own trading strategies for agent-based simulation (ABS).The book also presents selected research cases using the U-Mart simulator. Here, topics include automated acquisition of trading strategy using artificial intelligence techniques, evaluation of a market maker system to treat thin markets such as those for small and regional businesses, systemic risk analysis of the financial market considering institutional design of the market, and analysis of how humans behave and learn in gaming simulation. New perspectives on artificial market research are provided, and the power, potential, and challenge of ABS are discussed. As explained in this important work, ABS is considered to be an effective tool as the third approach of social science, an alternative to traditional literary and mathematical approaches.

Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation PDF Author: Kenneth Train
Publisher: Cambridge University Press
ISBN: 0521766559
Category : Business & Economics
Languages : en
Pages : 399

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Book Description
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Too Smart for Our Own Good: Ingenious Investment Strategies, Illusions of Safety, and Market Crashes

Too Smart for Our Own Good: Ingenious Investment Strategies, Illusions of Safety, and Market Crashes PDF Author: Bruce I. Jacobs
Publisher: McGraw Hill Professional
ISBN: 1260440559
Category : Business & Economics
Languages : en
Pages : 465

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Book Description
How investment strategies designed to reduce risk can increase risk for everyone—and can crash markets and economies Financial crises are often blamed on unforeseeable events, the unforgiving nature of capital markets, or just plain bad luck. Too Smart for Our Own Good argues that these crises are caused by certain alluring investment strategies that promise both high returns and safety of capital. In other words, the severe and widespread crises we have suffered in recent decades were not perfect storms. Instead, they were made by us. By understanding how and why this is so, we may be able to avoid or ameliorate future crises—and maybe even anticipate them. One of today’s leading financial thinkers, Bruce I. Jacobs, examines recent financial crises—including the 1987 stock market crash, the 1998 collapse of the hedge fund Long-Term Capital Management, the 2007–2008 credit crisis, and the European debt crisis—and reveals the common threads that explain these market disruptions. In each case, investors in search of safety were drawn to novel strategies that were intended to reduce risk but actually magnified it—and blew up markets. Too Smart for Our Own Good takes a behind-the-curtain look at: • The inseparable nature of investment risk and reward and the often counterproductive effects of some popular approaches for reducing risk • A trading strategy known as portfolio insurance and the key role it played in the 1987 stock market crash • How option-related trading disrupted markets in the decade following the 1987 crash • Why the demise of Long-Term Capital Management in 1998 wreaked havoc on US stock and bond markets • How mortgage-backed financial products, by shifting risk from one party to another, created the credit crisis of 2007–2008 and contributed to the subsequent European debt crisis This broad, detailed investigation of financial crises is the most penetrating and objective look at the subject to date. In addition, Jacobs, an industry insider, offers invaluable insights into the nature of investment risk and reward, and how to manage risk. Risk is unavoidable—especially in investing—and financial markets connect us all. Until we accept these facts and manage risk in responsible ways, major crises will always be just around the bend. Too Smart for Our Own Good is a big step toward smarter investing—and a better financial future for everyone.

Simulation-based Inference in Econometrics

Simulation-based Inference in Econometrics PDF Author: Roberto Mariano
Publisher: Cambridge University Press
ISBN: 9780521591126
Category : Business & Economics
Languages : en
Pages : 488

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Book Description
This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.

Methods of Mathematical Finance

Methods of Mathematical Finance PDF Author: Ioannis Karatzas
Publisher: Springer
ISBN: 1493968459
Category : Mathematics
Languages : en
Pages : 426

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Book Description
This sequel to Brownian Motion and Stochastic Calculus by the same authors develops contingent claim pricing and optimal consumption/investment in both complete and incomplete markets, within the context of Brownian-motion-driven asset prices. The latter topic is extended to a study of equilibrium, providing conditions for existence and uniqueness of market prices which support trading by several heterogeneous agents. Although much of the incomplete-market material is available in research papers, these topics are treated for the first time in a unified manner. The book contains an extensive set of references and notes describing the field, including topics not treated in the book. This book will be of interest to researchers wishing to see advanced mathematics applied to finance. The material on optimal consumption and investment, leading to equilibrium, is addressed to the theoretical finance community. The chapters on contingent claim valuation present techniques of practical importance, especially for pricing exotic options.

Behavioral Simulation Methods in Tax Policy Analysis

Behavioral Simulation Methods in Tax Policy Analysis PDF Author: Martin Feldstein
Publisher: University of Chicago Press
ISBN: 0226241750
Category : Business & Economics
Languages : en
Pages : 523

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Book Description
These thirteen papers and accompanying commentaries are the first fruits of an ongoing research project that has concentrated on developing simulation models that incorporate the behavioral responses of individuals and businesses to alternative tax rules and rates and on expanding computational general equilibrium models that analyze the long-run effects of changes on the economy as a whole. The principal focus of the project has been on the microsimulation of individual behavior. Thus, this volume includes studies of individual responses to an over reduction in tax rates and to changes in the highest tax rates; a study of alternative tax treatments of the family; and studies of such specific aspects of household behavior as tax treatment of home ownership, charitable contributions, and individual saving behavior. Microsimulation techniques are also used to estimate the effects of alternative policies on the long-run financial status of the social security program and to examine the effects of alternative tax rules on corporate investment and of foreign-source income on overseas investment. The papers devoted to the development of general equilibrium simulation models to include an examination of the implications of international trade and capital flows, a study of the effects of capital taxation that uses a closed economy equilibrium model, and an examination of the effect of switching to an inflation-indexed tax system. In the volume's final paper, a life-cycle model in which individuals maximize lifetime utility subject to a lifetime budget constraint is used to simulate the effects of tax rules on personal savings.

Monte Carlo Simulation and Finance

Monte Carlo Simulation and Finance PDF Author: Don L. McLeish
Publisher: John Wiley & Sons
ISBN: 1118160940
Category : Business & Economics
Languages : en
Pages : 308

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Book Description
Monte Carlo methods have been used for decades in physics, engineering, statistics, and other fields. Monte Carlo Simulation and Finance explains the nuts and bolts of this essential technique used to value derivatives and other securities. Author and educator Don McLeish examines this fundamental process, and discusses important issues, including specialized problems in finance that Monte Carlo and Quasi-Monte Carlo methods can help solve and the different ways Monte Carlo methods can be improved upon. This state-of-the-art book on Monte Carlo simulation methods is ideal for finance professionals and students. Order your copy today.

Computational Methods in Economic Dynamics

Computational Methods in Economic Dynamics PDF Author: Herbert Dawid
Publisher: Springer Science & Business Media
ISBN: 3642169430
Category : Business & Economics
Languages : en
Pages : 217

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Book Description
This volume is centered around the issue of market design and resulting market dynamics. The economic crisis of 2007-2009 has once again highlighted the importance of a proper design of market protocols and institutional details for economic dynamics and macroeconomics. Papers in this volume capture institutional details of particular markets, behavioral details of agents' decision making as well as spillovers between markets and effects to the macroeconomy. Computational methods are used to replicate and understand market dynamics emerging from interaction of heterogeneous agents, and to develop models that have predictive power for complex market dynamics. Finally treatments of overlapping generations models and differential games with heterogeneous actors are provided.

Power System Simulation, Control and Optimization

Power System Simulation, Control and Optimization PDF Author: José Antonio Domínguez-Navarro
Publisher: MDPI
ISBN: 3036507485
Category : Technology & Engineering
Languages : en
Pages : 242

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Book Description
This Special Issue “Power System Simulation, Control and Optimization” offers valuable insights into the most recent research developments in these topics. The analysis, operation, and control of power systems are increasingly complex tasks that require advanced simulation models to analyze and control the effects of transformations concerning electricity grids today: Massive integration of renewable energies, progressive implementation of electric vehicles, development of intelligent networks, and progressive evolution of the applications of artificial intelligence.