A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.
This book covers all aspects of modern finance relating to portfolio theory and risk–return relationship, offering a comprehensive guide to the importance, measurement and application of the risk–return hypothesis in portfolio management. It is divided into five parts: Part I discusses the valuation of capital assets and presents various techniques and models used in this context. Part II then addresses market efficiency and capital market models, particularly focusing on measuring market efficiency, which is a crucial factor in making correct investment decisions. It also analyzes the major capital market models like CAPM and APT to determine to what extent they are suitable for use in developing economies. Part III highlights the significance of risk–return analysis as a prerequisite for investment decisions, while Part IV examines the selection and performance appraisals of portfolios against the backdrop of the risk–return relationship. It also examines new tools such as the value-at-risk application for mutual funds and the applications of the price-to-earnings ratio in portfolio performance measurement. Lastly, Part V explores contemporary issues in finance, including the relevance of Islamic finance in the increasingly volatile global financial system.
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
At a time when unacceptable risk taking is rightly condemned, how can organizations still benefit from the upside of risk? Can risk still be good? Written by an author who has managed risk, teaches about risk, but most importantly of all has researched the theory of risk, this book will help senior executives dial up the right level of risk within their organizations in order to enhance performance. There are many risk management techniques that are known to work and risk management has logged many successes, but that doesn't mean managers understand why they work, how and why risks arise, and how organizations can be shaped strategically to optimize the benefits of well-judged business risks. Dr Les Coleman argues that finance and management risk has been a theory-free zone, similar to medicine in the Middle Ages, when physicians were aware of surgical techniques and medicines that worked, but did not know why and were impotent in the face of systemic illness. Today risk managers face much the same situation: They know of techniques that work such as audits, controls and procedure guides. Nevertheless, they rarely anticipate, much less prevent, serious failures. They have no comprehensive knowledge framework for targeting optimum risk levels. This timely book fills some of that gap with an outline of the nature and sources of risk in firms. It sets out a body of risk knowledge to support its management, particularly at the corporate level, in much the same way that our understanding of human physiology and the physical sciences support modern medical and engineering techniques. The reader will learn, for example, how risk attitudes and outcomes flow through an organization and about creative techniques such as asset-liability management. In this area of corporate finance so critical for executives and directors, Risk Strategies will help responsible CFOs and other senior managers, together with teachers and students of management, extend their knowledge and risk management skills.
We provide a systematic analysis of the properties of individual returns to wealth using twelve years of population data from Norway’s administrative tax records. We document a number of novel results. First, during our sample period individuals earn markedly different average returns on their financial assets (a standard deviation of 14%) and on their net worth (a standard deviation of 8%). Second, heterogeneity in returns does not arise merely from differences in the allocation of wealth between safe and risky assets: returns are heterogeneous even within asset classes. Third, returns are positively correlated with wealth: moving from the 10th to the 90th percentile of the financial wealth distribution increases the return by 3 percentage points - and by 17 percentage points when the same exercise is performed for the return to net worth. Fourth, wealth returns exhibit substantial persistence over time. We argue that while this persistence partly reflects stable differences in risk exposure and assets scale, it also reflects persistent heterogeneity in sophistication and financial information, as well as entrepreneurial talent. Finally, wealth returns are (mildly) correlated across generations. We discuss the implications of these findings for several strands of the wealth inequality debate.
Dean LeBaron's Treasury of Investment Wisdom Today, investors are faced with an information overload when it comes to investment opportunities. It's hard to find straight answers on which investment vehicles are the best, which ones will last, and what opportunities truly suit your needs. Dean LeBaron's Treasury of Investment Wisdom easily answers all these questions for you. This comprehensive guide to the world's greatest investment ideas and thinkers gives you everything you need to understand today's complex and exciting investment landscape. "There have been other books on investment gurus, but none as complete nor as entertaining as this one. Dean LeBaron has produced an enlightening, thorough, and thought-provoking compendium of the thinking of many of the nation's investment professionals. It covers all the major investment styles and vehicles, from active portfolio management to venture capital, and offers theoretical insights into everything from behavioral finance to market efficiency, providing point and counterpoint. It's a must read." -Michael J. Clowes, editorial director, Pensions & Investments and Investment News and author of The Money Flood: How Pension Funds Revolutionized Investing Filled with commentaries and opinions on a wide range of must-know investment issues, Dean LeBaron's Treasury of Investment Wisdom is your guide to a profitable investing future. Take your investment knowledge to the next level with one-of-a-kind insights that have made the best investors in the world what they are today.
This collection of original articles—8 years in the making—shines a bright light on recent advances in financial econometrics. From a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment, noted scholars Yacine Aït-Sahalia and Lars Peter Hansen benchmark the current state of knowledge while contributors build a framework for its growth. Whether in the presence of statistical uncertainty or the proven advantages and limitations of value at risk models, readers will discover that they can set few constraints on the value of this long-awaited volume. - Presents a broad survey of current research—from local characterizations of the Markov process dynamics to financial market trading activity - Contributors include Nobel Laureate Robert Engle and leading econometricians - Offers a clarity of method and explanation unavailable in other financial econometrics collections