>This research review discusses and analyses a unique collection of key publications at the intersection of biology and economics, two disciplines that share a common subject: Homo sapiens. Beginning with Thomas Malthus - whose dire predictions of mass starvation due to population growth influenced Charles Darwin - economists have routinely used biological arguments in their models and methods. The review summarizes the most important of these developments in areas such as sociobiology, evolutionary psychology, behavioral ecology, behavioral economics and finance, neuroeconomics, and behavioral genomics. This research review will be an indispensable tool for economists, biologists, and practitioners looking to develop a deeper understanding of the limits of Homo economicus.

A new, evolutionary explanation of markets and investor behavior Half of all Americans have money in the stock market, yet economists can't agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe--and as financial bubbles, crashes, and crises suggest. This is one of the biggest debates in economics and the value or futility of investment management and financial regulation hang on the outcome. In this groundbreaking book, Andrew Lo cuts through this debate with a new framework, the Adaptive Markets Hypothesis, in which rationality and irrationality coexist. Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency isn't wrong but merely incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo's new paradigm explains how financial evolution shapes behavior and markets at the speed of thought--a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation. A fascinating intellectual journey filled with compelling stories, Adaptive Markets starts with the origins of market efficiency and its failures, turns to the foundations of investor behavior, and concludes with practical implications--including how hedge funds have become the Galapagos Islands of finance, what really happened in the 2008 meltdown, and how we might avoid future crises. An ambitious new answer to fundamental questions in economics, Adaptive Markets is essential reading for anyone who wants to know how markets really work.

The Efficient Markets Hypothesis is one of the most controversial and hotly contested ideas in all the social sciences. It is disarmingly simple to state, has far-reaching consequences for academic pursuits and business practice, and yet is surprisingly resilient to empirical proof of refutation. Even after three decades of research and literally thousands of journal articles, economists have not yet reached a consensus about whether markets - particularly financial markets - are efficient or not. These two volumes bring together the most influential articles surrounding the Efficient Markets Hypothesis debate, from Paul Samuelson's pathbreaking proof that properly anticipated prices fluctuate randomly to Fischer Black's study of noise traders, from Eugene Fama's empirical implementation of the Efficient Markets Hypothesis to Robert Merton's analysis of stock price volatility.

How the greatest thinkers in finance changed the field and how their wisdom can help investors today 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 Leibowitz, 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 investors. Inspiring such monikers as the Bond Guru, Wall Street’s Wisest Man, and the Wizard of Wharton, these pioneers of investment management provide candid perspectives, both expected and surprising, on a vast array of investment topics—effective diversification, passive versus active investment, security selection and market timing, foreign versus domestic investments, derivative securities, nontraditional assets, irrational investing, and so much more. While the perfect portfolio is ultimately a moving target based on individual age and stage in life, market conditions, and short- and long-term goals, the fundamental principles for success remain constant. Aimed at novice and professional investors alike, In Pursuit of the Perfect Portfolio is a compendium of financial wisdom that no market enthusiast will want to be without.

A new, evolutionary explanation of markets and investor behavior Half of all Americans have money in the stock market, yet economists can't agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe. The debate is one of the biggest in economics, and the value or futility of investment management and financial regulation hangs on the answer. In this groundbreaking book, Andrew Lo transforms the debate with a powerful new framework in which rationality and irrationality coexist-the Adaptive Markets Hypothesis. Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency is incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo's new paradigm explains how financial evolution shapes behavior and markets at the speed of thought-a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation. An ambitious new answer to fundamental questions about economics and investing, Adaptive Markets is essential reading for anyone who wants to understand how markets really work.

How the greatest thinkers in finance changed the field and how their wisdom can help investors today 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 Leibowitz, 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 investors. Inspiring such monikers as the Bond Guru, Wall Street's Wisest Man, and the Wizard of Wharton, these pioneers of investment management provide candid perspectives, both expected and surprising, on a vast array of investment topics-effective diversification, passive versus active investment, security selection and market timing, foreign versus domestic investments, derivative securities, nontraditional assets, irrational investing, and so much more. While the perfect portfolio is ultimately a moving target based on individual age and stage in life, market conditions, and short- and long-term goals, the fundamental principles for success remain constant. Aimed at novice and professional investors alike, In Pursuit of the Perfect Portfolio is a compendium of financial wisdom that no market enthusiast will want to be without.

Los economistas no se ponen de acuerdo sobre si los inversores y los mercados son racionales y eficientes, tal y como supone la moderna teoría de las finanzas, o irracionales e ineficientes, tal y como creen los economistas del comportamiento y como sugieren las burbujas y las crisis financieras. De cómo se resuelva este debate depende que se gestionen bien las inversiones financieras. Con este libro Andrew W. Lo zanja esta cuestión dándole un nuevo marco conceptual: la Hipótesis de los Mercados Adaptativos, en la que la conviven racionalidad y la irracionalidad.Basándose en profundos conocimientos de psicología, biología evolutiva, neurociencia e inteligencia artificial, esta obra sostiene que la teoría de los mercados eficientes no es errónea sino incompleta. Cuando los mercados son inestables, los inversores reaccionan instintivamente, creando ineficiencias que otros pueden aprovechar. El nuevo paradigma del autor explica cómo la evolución de las finanzas, que ocurre a la velocidad del pensamiento, condiciona el comportamiento de los inversores y de los mercados. Un hecho que ponen de manifiesto los vaivenes entre estabilidad y crisis, ganancia y pérdida, e innovación y regulación.

The Adaptive Markets Hypothesis (AMH) presents a formal and systematic exposition of a new narrative about financial markets that reconciles rational investor behaviour with periods of temporary financial insanity. In this narrative, intelligent but fallible investors learn from and adapt to randomly shifting environments. Financial markets may not always be efficient, but they are highly competitive, innovative, and adaptive, varying in their degree of efficiency as investor populations and the financial landscape change over time. Andrew Lo and Ruixun Zhang develop the mathematical foundations of the AMH—a simple yet surprisingly powerful set of evolutionary models of behaviour—and then apply these foundations to show how the most fundamental economic behaviours that we take for granted can arise solely through natural selection. Drawing on recent advances in cognitive neuroscience and artificial intelligence, the book also explores how our brain affects economic and financial decision making. The AMH can be applied in many contexts, ranging from designing trading strategies, to managing risk and understanding financial crises, to formulating macroprudential policies to promote financial stability. This volume is a must read for anyone who has ever been puzzled and concerned by the behaviour of financial markets and the implications for their personal wealth, and seeks to learn how best to respond to such behaviour.

The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory.

Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications

An introductory finance textbook for the healthcare industry We are living in a golden age of biomedical innovation, yet entrepreneurs still struggle with the so-called Valley of Death when seeking funding for their biotech start-ups. In Healthcare Finance, Andrew Lo and Shomesh Chaudhuri show that there are better ways to finance breakthrough therapies, and they provide the essential financial tools and concepts for creating the next generation of healthcare technologies. Geared for MBA and life sciences students, as well as biopharma executives and healthcare investment professionals, this textbook covers the theory and application of financial techniques such as diversification, discounted cash flow analysis, real options, Monte Carlo simulation, and securitization, all within the context of managing biomedical assets. The book demonstrates that more efficient funding structures can reduce financial risks, lower the cost of capital, and bring more lifesaving therapies to patients faster. Readers will gain the background, framework, and techniques needed to reshape the healthcare industry in positive ways. Finance doesn't have to be a zero-sum game, and Healthcare Finance proves that it is possible to do well by doing good. Explores new financing methods for the biopharma industry Provides accessible explanations for making good business decisions in the life sciences Analyzes real-world examples, case studies, and practical applications Includes access to videos of lectures and recitations, interactive figures, self-graded problem sets, and other online content

The hedge fund industry has grown dramatically over the last two decades, with more than eight thousand funds now controlling close to two trillion dollars. Originally intended for the wealthy, these private investments have now attracted a much broader following that includes pension funds and retail investors. Because hedge funds are largely unregulated and shrouded in secrecy, they have developed a mystique and allure that can beguile even the most experienced investor. In "Hedge Funds," Andrew Lo--one of the world's most respected financial economists--addresses the pressing need for a systematic framework for managing hedge fund investments.

Arguing that hedge funds have very different risk and return characteristics than traditional investments, Lo constructs new tools for analyzing their dynamics, including measures of illiquidity exposure and performance smoothing, linear and nonlinear risk models that capture alternative betas, econometric models of hedge fund failure rates, and integrated investment processes for alternative investments. In a new chapter, he looks at how the strategies for and regulation of hedge funds have changed in the aftermath of the financial crisis.

Computational finance, an exciting new cross-disciplinary research area, draws extensively on the tools and techniques of computer science, statistics, information systems, and financial economics. This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. These methods are applied to a wide range of problems in finance, including risk management, asset allocation, style analysis, dynamic trading and hedging, forecasting, and option pricing. The book is based on the sixth annual international conference Computational Finance 1999, held at New York University's Stern School of Business.