Author : Luigi Guiso
Publisher : MIT Press
Page : 552 pages
File Size : 33,56 MB
Release : 2002
Category : Business & Economics
ISBN : 9780262072212
Theoretical and empirical analysis of the structure of household portfolios.
Author : Jacques Lussier
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 38,95 MB
Release : 2013-01-28
Category : Business & Economics
ISBN : 1118464796
A process-driven approach to investment management that lets you achieve the same high gains as the most successful portfolio managers, but at half the cost What do you pay for when you hire a portfolio manager? Is it his or her unique experience and expertise, a set of specialized analytical skills possessed by only a few? The truth, according to industry insider Jacques Lussier, is that, despite their often grandiose claims, most successful investment managers, themselves, can't properly explain their successes. In this book Lussier argues convincingly that most of the gains achieved by professional portfolio managers can be accounted for not by special knowledge or arcane analytical methodologies, but proper portfolio management processes whether they are aware of this or not. More importantly, Lussier lays out a formal process-oriented approach proven to consistently garner most of the excess gains generated by traditional analysis-intensive approaches, but at a fraction of the cost since it could be fully implemented internally. Profit from more than a half-century's theoretical and empirical literature, as well as the author's own experiences as a top investment strategist Learn an approach, combining several formal management processes, that simplifies portfolio management and makes its underlying qualities more transparent, while lowering costs significantly Discover proven methods for exploiting the inefficiencies of traditional benchmarks, as well as the behavioral biases of investors and corporate management, for consistently high returns Learn to use highly-efficient portfolio management and rebalancing methodologies and an approach to diversification that yields returns far greater than traditional investment programs
Author : John Quiggin
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 24,42 MB
Release : 1993
Category : Business & Economics
ISBN : 9780792393023
Economic analysis of choice under uncertainty has been dominated by the expected utility (EU) model, yet the EU model has never been without critics. Psychologists accumulated evidence that individual choices under uncertainty were inconsistent with the predictions of the EU model. Applied work in areas such as finance was dominated by the simpler mean-variance analysis. In the 1980s this skepticism was dispelled as a number of generalizations of EU were proposed, most of which were capable of explaining evidence inconsistent with EU, while preserving transitivity and dominance. Generalized expected utility is now a flourishing subfield of economics, with dozens of competing models and considerable literature exploring their theoretical properties and comparing their empirical performance. But the EU model remains the principal tool for the analysis of choice under uncertainty. There is a view that generalized models are too difficult to handle or incapable of generating sharp results. This creates a need to show that the new models can be used in the kinds of economic analysis for which EU has been used, and that they can yield new and interesting results. This book meets this need by describing one of the most popular generalized models -- the rank-dependent expected utility model (RDEU), also known as anticipated utility, EU with rank-dependent preferences, the dual theory of choice under uncertainty, and simply as rank-dependent utility. As the many names indicate, the model has been approached in many ways by many scientists and for this reason, consideration of a single model sheds light on many of the concerns that have motivated the development of generalized utility models. The popularity of the RDEU model rests on its simplicity and tractability. The standard tools of analysis developed for EU theory may be applied to the RDEU model, but since RDEU admits behavior inconsistent with EU, the field of potential applications is widened. As such, the RDEU model is not as much a competitor to EU as an extension based on less restrictive assumptions.
Author : Gene Amromin
Publisher :
Page : 54 pages
File Size : 17,18 MB
Release : 2005
Category : Households
ISBN :
Author : Richard O. Michaud
Publisher : Oxford University Press
Page : 207 pages
File Size : 19,26 MB
Release : 2008-03-03
Category : Business & Economics
ISBN : 0199887195
In spite of theoretical benefits, Markowitz mean-variance (MV) optimized portfolios often fail to meet practical investment goals of marketability, usability, and performance, prompting many investors to seek simpler alternatives. Financial experts Richard and Robert Michaud demonstrate that the limitations of MV optimization are not the result of conceptual flaws in Markowitz theory but unrealistic representation of investment information. What is missing is a realistic treatment of estimation error in the optimization and rebalancing process. The text provides a non-technical review of classical Markowitz optimization and traditional objections. The authors demonstrate that in practice the single most important limitation of MV optimization is oversensitivity to estimation error. Portfolio optimization requires a modern statistical perspective. Efficient Asset Management, Second Edition uses Monte Carlo resampling to address information uncertainty and define Resampled Efficiency (RE) technology. RE optimized portfolios represent a new definition of portfolio optimality that is more investment intuitive, robust, and provably investment effective. RE rebalancing provides the first rigorous portfolio trading, monitoring, and asset importance rules, avoiding widespread ad hoc methods in current practice. The Second Edition resolves several open issues and misunderstandings that have emerged since the original edition. The new edition includes new proofs of effectiveness, substantial revisions of statistical estimation, extensive discussion of long-short optimization, and new tools for dealing with estimation error in applications and enhancing computational efficiency. RE optimization is shown to be a Bayesian-based generalization and enhancement of Markowitz's solution. RE technology corrects many current practices that may adversely impact the investment value of trillions of dollars under current asset management. RE optimization technology may also be useful in other financial optimizations and more generally in multivariate estimation contexts of information uncertainty with Bayesian linear constraints. Michaud and Michaud's new book includes numerous additional proposals to enhance investment value including Stein and Bayesian methods for improved input estimation, the use of portfolio priors, and an economic perspective for asset-liability optimization. Applications include investment policy, asset allocation, and equity portfolio optimization. A simple global asset allocation problem illustrates portfolio optimization techniques. A final chapter includes practical advice for avoiding simple portfolio design errors. With its important implications for investment practice, Efficient Asset Management 's highly intuitive yet rigorous approach to defining optimal portfolios will appeal to investment management executives, consultants, brokers, and anyone seeking to stay abreast of current investment technology. Through practical examples and illustrations, Michaud and Michaud update the practice of optimization for modern investment management.
Author : John Y. Campbell
Publisher : OUP Oxford
Page : 272 pages
File Size : 12,1 MB
Release : 2002-01-03
Category : Business & Economics
ISBN : 019160691X
Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.
Author : Andrew W. Lo
Publisher : Princeton University Press
Page : 414 pages
File Size : 28,21 MB
Release : 2021-08-17
Category : Business & Economics
ISBN : 0691215200
Is there an ideal portfolio of investment assets, one that perfectly balances risk and reward? In Pursuit of the Perfect Portfolio examines this question by profiling and interviewing ten of the most prominent figures in the finance world,Jack Bogle, Charley Ellis, Gene Fama, Marty Liebowitz, Harry Markowitz, Bob Merton, Myron Scholes, Bill Sharpe, Bob Shiller, and Jeremy Siegel. We learn about the personal and intellectual journeys of these luminaries, which include six Nobel Laureates and a trailblazer in mutual funds, and their most innovative contributions. In the process, we come to understand how the science of modern investing came to be. Each of these finance greats discusses their idea of a perfect portfolio, offering invaluable insights to today's investor
Author : M. Agarwal
Publisher : Springer
Page : 258 pages
File Size : 45,27 MB
Release : 2015-12-11
Category : Business & Economics
ISBN : 1137359927
This book discusses new determinants for optimal portfolio selection. It reviews the existing modelling framework and creates mean-variance efficient portfolios from the securities companies on the National Stock Exchange. Comparisons enable researchers to rank them in terms of their effectiveness in the present day Indian securities market.
Author : John B. Guerard
Publisher : SAS Institute
Page : 296 pages
File Size : 23,10 MB
Release : 2019-04-03
Category : Computers
ISBN : 1635266890
Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases.
Author : Taylor Larimore
Publisher : John Wiley & Sons
Page : 93 pages
File Size : 39,10 MB
Release : 2018-06-01
Category : Business & Economics
ISBN : 1119487358
Twenty benefits from the three-fund total market index portfolio. The Bogleheads’ Guide to The Three-Fund Portfolio describes the most popular portfolio on the Bogleheads forum. This all-indexed portfolio contains over 15,000 worldwide securities, in just three easily-managed funds, that has outperformed the vast majority of both professional and amateur investors. If you are a new investor, or an experienced investor who wants to simplify and improve your portfolio, The Bogleheads’ Guide to The Three-Fund Portfolio is a short, easy-to-read guide to show you how.
