Modern Portfolio Theory And Investment Analysis
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Author | : Edwin J. Elton |
Publisher | : John Wiley & Sons |
Total Pages | : 748 |
Release | : 2009-11-16 |
Genre | : Business & Economics |
ISBN | : 0470388323 |
An update of a classic book in the field, Modern Portfolio Theory examines the characteristics and analysis of individual securities as well as the theory and practice of optimally combining securities into portfolios. It stresses the economic intuition behind the subject matter while presenting advanced concepts of investment analysis and portfolio management. Readers will also discover the strengths and weaknesses of modern portfolio theory as well as the latest breakthroughs.
Author | : Edwin J. Elton |
Publisher | : John Wiley & Sons |
Total Pages | : 754 |
Release | : 2014-01-21 |
Genre | : Business & Economics |
ISBN | : 1118469941 |
Modern Portfolio Theory and Investment Analysis, 9th Editionexamines the characteristics and analysis of individual securities, as well as the theory and practice of optimally combining securities into portfolios. It stresses the economic intuition behind the subject matter while presenting advanced concepts of investment analysis and portfolio management. The authors present material that captures the state of modern portfolio analysis, general equilibrium theory, and investment analysis in an accessible and intuitive manner.
Author | : Jack Clark Francis |
Publisher | : John Wiley & Sons |
Total Pages | : 576 |
Release | : 2013-01-18 |
Genre | : Business & Economics |
ISBN | : 1118417208 |
A through guide covering Modern Portfolio Theory as well as the recent developments surrounding it Modern portfolio theory (MPT), which originated with Harry Markowitz's seminal paper "Portfolio Selection" in 1952, has stood the test of time and continues to be the intellectual foundation for real-world portfolio management. This book presents a comprehensive picture of MPT in a manner that can be effectively used by financial practitioners and understood by students. Modern Portfolio Theory provides a summary of the important findings from all of the financial research done since MPT was created and presents all the MPT formulas and models using one consistent set of mathematical symbols. Opening with an informative introduction to the concepts of probability and utility theory, it quickly moves on to discuss Markowitz's seminal work on the topic with a thorough explanation of the underlying mathematics. Analyzes portfolios of all sizes and types, shows how the advanced findings and formulas are derived, and offers a concise and comprehensive review of MPT literature Addresses logical extensions to Markowitz's work, including the Capital Asset Pricing Model, Arbitrage Pricing Theory, portfolio ranking models, and performance attribution Considers stock market developments like decimalization, high frequency trading, and algorithmic trading, and reveals how they align with MPT Companion Website contains Excel spreadsheets that allow you to compute and graph Markowitz efficient frontiers with riskless and risky assets If you want to gain a complete understanding of modern portfolio theory this is the book you need to read.
Author | : Jon Lukomnik |
Publisher | : Routledge |
Total Pages | : 175 |
Release | : 2021-04-29 |
Genre | : Business & Economics |
ISBN | : 100037615X |
Moving Beyond Modern Portfolio Theory: Investing That Matters tells the story of how Modern Portfolio Theory (MPT) revolutionized the investing world and the real economy, but is now showing its age. MPT has no mechanism to understand its impacts on the environmental, social and financial systems, nor any tools for investors to mitigate the havoc that systemic risks can wreck on their portfolios. It’s time for MPT to evolve. The authors propose a new imperative to improve finance’s ability to fulfil its twin main purposes: providing adequate returns to individuals and directing capital to where it is needed in the economy. They show how some of the largest investors in the world focus not on picking stocks, but on mitigating systemic risks, such as climate change and a lack of gender diversity, so as to improve the risk/return of the market as a whole, despite current theory saying that should be impossible. "Moving beyond MPT" recognizes the complex relations between investing and the systems on which capital markets rely, "Investing that matters" embraces MPT’s focus on diversification and risk adjusted return, but understands them in the context of the real economy and the total return needs of investors. Whether an investor, an MBA student, a Finance Professor or a sustainability professional, Moving Beyond Modern Portfolio Theory: Investing That Matters is thought-provoking and relevant. Its bold critique shows how the real world already is moving beyond investing orthodoxy.
Author | : John B. Guerard |
Publisher | : SAS Institute |
Total Pages | : 296 |
Release | : 2019-04-03 |
Genre | : 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 | : Noel Amenc |
Publisher | : John Wiley & Sons |
Total Pages | : 280 |
Release | : 2005-01-21 |
Genre | : Business & Economics |
ISBN | : 0470858753 |
For many years asset management was considered to be a marginal activity, but today, it is central to the development of financial industry throughout the world. Asset management's transition from an "art and craft" to an industry has inevitably called integrated business models into question, favouring specialisation strategies based on cost optimisation and learning curve objectives. This book connects each of these major categories of techniques and practices to the unifying and seminal conceptual developments of modern portfolio theory. In these bear market times, performance evaluation of portfolio managers is of central focus. This book will be one of very few on the market and is by a respected member of the profession. Allows the professionals, whether managers or investors, to take a step back and clearly separate true innovations from mere improvements to well-known, existing techniques Puts into context the importance of innovations with regard to the fundamental portfolio management questions, which are the evolution of the investment management process, risk analysis and performance measurement Takes the explicit or implicit assumptions contained in the promoted tools into account and, by so doing, evaluate the inherent interpretative or practical limits
Author | : |
Publisher | : |
Total Pages | : 728 |
Release | : 2006 |
Genre | : Investment analysis |
ISBN | : |
Author | : Daniel Peris |
Publisher | : McGraw Hill Professional |
Total Pages | : 364 |
Release | : 2018-07-06 |
Genre | : Business & Economics |
ISBN | : 1260135330 |
Modern Portfolio Theory has failed investors. A change in direction is long overdue. We are in a time of enormous risk. Economic growth is anemic, and political risk to the capital markets is on the rise. In the U.S., a generation of white collar baby-boomers is heading into retirement with insufficient assets in their 401(k) programs, and industrial workers are stuck with materially underfunded pension plans. Against that backdrop, the investing industry’s current set of practices and assumptions—Modern Portfolio Theory (MPT)—is based on a half-century old formula that is supposed to deliver the maximum amount of return for a given amount of risk. The trouble is that it doesn’t work very well. In Getting Back to Business, dividend-investing guru Daniel Peris proposes a radical new approach—radical in that it does away with MPT in favor of a more intuitive, common-sense approach practiced by business people in their own affairs everyday: cash returns on cash investments. “In a profession utterly lacking a historical sensibility,” Peris writes. “One periodically needs to ask why we do things the way we do, how we got here, and whether perhaps there is a better way.” Balancing detailed historical evidence with a practitioner’s real-world expertise, Peris asks the right questions—and provides a solution that makes sense in today’s challenging investing landscape.
Author | : Thomas Pistorius |
Publisher | : Springer |
Total Pages | : 265 |
Release | : 2017-08-24 |
Genre | : Business & Economics |
ISBN | : 3319550055 |
This book combines the study of rhetoric, history, philosophy, philosophy of statistics and the culture of investing to discuss the foundations of stochastical predictability in investment theory. Besides discussing the problem of stochastical prediction, the book also covers alternative investment theories. Ideas from uncertainty economics, expressed by the likes of Keynes, Knight, von Mises, Taleb and McCloskey are also discussed. This book will be of interest to researchers and academics in the field of investment theory, as well as investment practitioners.
Author | : C. Thomas Howard |
Publisher | : Harriman House Limited |
Total Pages | : 329 |
Release | : 2014-03-17 |
Genre | : Business & Economics |
ISBN | : 0857193252 |
The investment industry is on the cusp of a major shift, from Modern Portfolio Theory (MPT) to Behavioral Finance, with Behavioral Portfolio Management (BMP) the next step in this transition. BPM focuses on how to harness the price distortions that are driven by emotional crowds and use this to create superior portfolios. Once markets and investing are viewed through the lens of behavior, and portfolios are constructed on this basis, investable opportunities become readily apparent. Mastering your emotions is critical to the process and the insights provided by Tom Howard put investors on the path to achieving this. Forty years of Behavioral Science research presents a clear picture of how individuals make decisions; there are few signs of rationality. Indeed, emotional investors sabotage their own efforts in building long-horizon wealth. When this is combined with the misconception that active management is unable to generate superior returns, the typical emotional investor leaves hundreds of thousands, if not millions, of dollars on the table during their investment lifetimes. Howard moves on to show how industry practice, with its use of the style grid, standard deviation, correlation, maximum drawdown and the Sharpe ratio, has entrenched emotion within investing. The result is that investors construct underperforming, bubble-wrapped portfolios. So if an investor masters their own emotions, they still must challenge the emotionally-based conventional wisdom pervasive throughout the industry. Tom Howard explains how to do this. Attention is then given to measureable and persistent behavioral factors. These provide investors with a new source of information that has the potential to transform how they think about portfolio management and dramatically improve performance. Behavioral factors can be used to select the best stocks, the best active managers, and the best markets in which to invest. Once the transition to behavioral finance is made, the emotional measures of MPT will quickly be forgotten and replaced with rational concepts that allow investors to successfully build long-horizon wealth. If you take portfolio construction seriously, it is essential that you make the next step forward towards Behavioral Portfolio Management.