Research in Experimental Economics is a series of edited research volumes focused on laboratory experimental economics, first published in 1979 with founding editor Vernon L. Smith. Volume 16 of the series focuses around the themes of experiments in financial economics.

With an in-depth overview of the past, present and future of the field, The Handbook of Experimental Finance provides a comprehensive analysis of the current topics, methodologies, findings, and breakthroughs in research conducted with the help of experimental finance methodology. Leading experts suggest innovative ways of designing, implementing, analyzing, and interpreting finance experiments.

An examination of an area of economic research whereby economists have begun to use laboratories to evaluate economic propositions under carefully controlled conditions. The authors argue for the effectiveness of this technique in selected circumstances.

Financial economics is a fascinating topic where ideas from economics, mathematics and, most recently, psychology are combined to understand financial markets. This book gives a concise introduction into this field and includes for the first time recent results from behavioral finance that help to understand many puzzles in traditional finance. The book is tailor made for master and PhD students and includes tests and exercises that enable the students to keep track of their progress. Parts of the book can also be used on a bachelor level. Researchers will find it particularly useful as a source for recent results in behavioral finance and decision theory.

Over the past two decades, experimental economics has moved from a fringe activity to become a standard tool for empirical research. With experimental economics now regarded as part of the basic tool-kit for applied economics, this book demonstrates how controlled experiments can be a useful in providing evidence relevant to economic research. Professors Jacquemet and L'Haridon take the standard model in applied econometrics as a basis to the methodology of controlled experiments. Methodological discussions are illustrated with standard experimental results. This book provides future experimental practitioners with the means to construct experiments that fit their research question, and new comers with an understanding of the strengths and weaknesses of controlled experiments. Graduate students and academic researchers working in the field of experimental economics will be able to learn how to undertake, understand and criticise empirical research based on lab experiments, and refer to specific experiments, results or designs completed with case study applications.

This book provides an easy to follow guide to economic experiments and specifically those that explore notions of fairness, altruism and trust in economic transactions and how findings in the field can change the way we approach a variety of economic problems.

Praise for Paving Wall Street "This is a remarkable book that weaves the deep scientific roots of modern finance and modern financial institutions with humorous perspective and considerable wisdom. Few understand the pervasive and complex economic principles that govern our world of finance. Few are aware of the academic and scientific origins of financial practices and market instruments that are commonplace today. Ross Miller uses his experience and talents acquired as an experimental economist to help us understand a world that is contradictory, potentially dangerous, and paradoxical. He entertains us while doing it." --Charles R. Plott, Edward S. Harkness Professor of Economics and Political Science, California Institute of Technology "Decisions by millions of individuals produce the fierce tides and churning seas of Wall Street. Miller wields his microscope in the laboratory of experimental economics to provide a sprightly and insightful analysis of investor behavior." --Richard Zeckhauser, Frank P. Ramsey Professor of Political Economy, John F. Kennedy School of Government, Harvard University "Dramatic new ways for buying and selling-spectrum auctions, e-commerce, derivatives-are the economics profession's contribution to the Information Revolution. This book explains how many of these innovations began with simple experiments at Caltech. The style is a refreshing combination-dramatic and fun to read, but also historically and scientifically accurate. So, I can send one to my Dad, a salesman, and another to my girlfriend, a patent attorney." --Colin Camerer, Rea and Lela Axline Professor of Business Economics, California Institute of Technology "Paving Wall Street is a first-rate insight into bubbles and the experimental research performed on the topic by leading academicians such as Vernon Smith." --David Dreman, Chairman, Dreman Value Management "Academic ideas have revolutionized how Wall Street operates. Entirely new markets have been created. This revolution continues today, accelerated by the rise of increasingly automated markets. Ross Miller has produced a book that makes the leading-edge financial and economic thinking that shapes these new markets accessible to practitioners and professionals. With no equations and a deft touch, this is an excellent guide to the future of greater Wall Street." --David J. Leinweber, PhD, Economics/Social Sciences, California Institute of Technology

While the field of economics makes sharp distinctions and produces precise theory, the work of experimental economics sometimes appears blurred and may produce uncertain results. The contributors to this volume have provided brief notes describing specific experimental results.

This book presents a novel approach to characterizing markets in quantitative terms. The examples cut across the world of interest rates, price of gold, stock market and corporate worlds that the stock market rests on, and the pricing of options on financial instruments. The emphasis is on methods of inquiry, methods that can just as easily be applied to other markets and other economic phenomena as well. The goal is to make the methods available to the widest possible audience of quantitative analysts and to the trading desks and investment plans they feed.Quantitative research and modeling in finance and economics have a long history going back to Frank Ramsey, mathematician, logician, and economist, who pioneered the application of dynamic models in economics in the 1920s, and to his theory of the Ramsey Tax, which is a rule for apportioning tax rates in a way that raises the maximum tax revenues while impacting the decisions of taxpayers as little as possible. The opposite would be a tax so inefficient that it causes people to avoid doing whatever it is that subjects them to the tax.These experiments yield valuable insight into economic affairs, but they are only a stepping-stone for others—a starting point for discovery. Foremost among them is locating usable statistical findings to the investment world. Gibbons' intention is not to provide investment advice, it is to provide education. These data are subject to changing results, but that should not diminish their educational value. This is a proactive fusion of business economics and sound social science methods.

Experiments can complement other methods in identifying causal relationships and in measuring behavioral deviations from theoretical predictions. While the experimental method has long been central in many scientific disciplines, it was almost nonexistent in finance until the 1980s. To survey the development of experiments in finance, we compile a comprehensive account of experimental studies published in the Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Review of Finance, Journal of Quantitative and Financial Analysis, and Journal of Banking and Finance-as well as of experimental finance studies published in the Top 5 journals in economics. With this novel dataset, we identify historical trends in experimental finance. Since the first experiments where published in finance journals in the 1980s, and especially in the last 20 years, the share of experimental publications in these journals has increased strongly. We report trends towards descriptive experiments, individual decision experiments, and field experiments.