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Experimental Finance
The goals of experimental finance are to understand human and market behavior in settings relevant to finance. Experiments are synthetic economic environments created by researchers specifically to answer research questions. This might involve, for example, establishing different market settings and environments to observe experimentally and analyze agents' behavior and the resulting characteristics of trading flows, information diffusion and aggregation, price setting mechanism and returns processes. Fields to which experimental methods have been applied include corporate finance, asset pricing, financial econometrics, international finance, personal financial decision-making, macro-finance, banking and financial intermediation, capital markets, risk management and insurance, derivatives, quantitative finance, corporate governance and compensation, investments, market mechanisms, SME and microfinance and entrepreneurial finance. Researchers in experimental finance can study to ...
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Trading
Trade involves the transfer of goods and services from one person or entity to another, often in exchange for money. Economists refer to a system or network that allows trade as a market. An early form of trade, barter, saw the direct exchange of goods and services for other goods and services, i.e. trading things without the use of money. Modern traders generally negotiate through a medium of exchange, such as money. As a result, buying can be separated from selling, or earning. The invention of money (and letter of credit, paper money, and non-physical money) greatly simplified and promoted trade. Trade between two traders is called bilateral trade, while trade involving more than two traders is called multilateral trade. In one modern view, trade exists due to specialization and the division of labour, a predominant form of economic activity in which individuals and groups concentrate on a small aspect of production, but use their output in trades for other products a ...
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Experimental Economics
Experimental economics is the application of experimental methods to study economic questions. Data collected in experiments are used to estimate effect size, test the validity of economic theories, and illuminate market mechanisms. Economic experiments usually use cash to motivate subjects, in order to mimic real-world incentives. Experiments are used to help understand how and why markets and other exchange systems function as they do. Experimental economics have also expanded to understand institutions and the law (experimental law and economics). A fundamental aspect of the subject is design of experiments. Experiments may be conducted in the field or in laboratory settings, whether of individual or group behavior. Variants of the subject outside such formal confines include natural and quasi-natural experiments. Experimental topics One can loosely classify economic experiments using the following topics: * Markets * Games * Evolutionary game theory * Decision making * Barg ...
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Latent Variable
In statistics, latent variables (from Latin: present participle of ''lateo'', “lie hidden”) are variables that can only be inferred indirectly through a mathematical model from other observable variables that can be directly observed or measured. Such ''latent variable models'' are used in many disciplines, including political science, demography, engineering, medicine, ecology, physics, machine learning/artificial intelligence, bioinformatics, chemometrics, natural language processing, management and the social sciences. Latent variables may correspond to aspects of physical reality. These could in principle be measured, but may not be for practical reasons. In this situation, the term ''hidden variables'' is commonly used (reflecting the fact that the variables are meaningful, but not observable). Other latent variables correspond to abstract concepts, like categories, behavioral or mental states, or data structures. The terms ''hypothetical variables'' or ''hypothetical ...
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Self-selection Bias
In statistics, self-selection bias arises in any situation in which individuals select themselves into a group, causing a biased sample with nonprobability sampling. It is commonly used to describe situations where the characteristics of the people which cause them to select themselves in the group create abnormal or undesirable conditions in the group. It is closely related to the non-response bias, describing when the group of people responding has different responses than the group of people not responding. Self-selection bias is a major problem in research in sociology, psychology, economics and many other social sciences. In such fields, a poll suffering from such bias is termed a self-selected listener opinion poll or "SLOP". The term is also used in criminology to describe the process by which specific predispositions may lead an offender to choose a criminal career and lifestyle. While the effects of self-selection bias are closely related to those of selection bias, the ...
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Omitted-variables Bias
In statistics, omitted-variable bias (OVB) occurs when a statistical model leaves out one or more relevant variables. The bias results in the model attributing the effect of the missing variables to those that were included. More specifically, OVB is the bias that appears in the estimates of parameters in a regression analysis, when the assumed specification is incorrect in that it omits an independent variable that is a determinant of the dependent variable and correlated with one or more of the included independent variables. In linear regression Intuition Suppose the true cause-and-effect relationship is given by: :y=a+bx+cz+u with parameters ''a, b, c'', dependent variable ''y'', independent variables ''x'' and ''z'', and error term ''u''. We wish to know the effect of ''x'' itself upon ''y'' (that is, we wish to obtain an estimate of ''b''). Two conditions must hold true for omitted-variable bias to exist in linear regression: * the omitted variable must be a determ ...
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Financial Markets
A financial market is a market in which people trade financial securities and derivatives at low transaction costs. Some of the securities include stocks and bonds, raw materials and precious metals, which are known in the financial markets as commodities. The term "market" is sometimes used for what are more strictly ''exchanges'', organizations that facilitate the trade in financial securities, e.g., a stock exchange or commodity exchange. This may be a physical location (such as the New York Stock Exchange (NYSE), London Stock Exchange (LSE), JSE Limited (JSE), Bombay Stock Exchange (BSE) or an electronic system such as NASDAQ. Much trading of stocks takes place on an exchange; still, corporate actions (merger, spinoff) are outside an exchange, while any two companies or people, for whatever reason, may agree to sell the stock from the one to the other without using an exchange. Trading of currencies and bonds is largely on a bilateral basis, although some bonds trade o ...
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Stock Exchanges
A stock exchange, securities exchange, or bourse is an exchange where stockbrokers and traders can buy and sell securities, such as shares of stock, bonds and other financial instruments. Stock exchanges may also provide facilities for the issue and redemption of such securities and instruments and capital events including the payment of income and dividends. Securities traded on a stock exchange include stock issued by listed companies, unit trusts, derivatives, pooled investment products and bonds. Stock exchanges often function as "continuous auction" markets with buyers and sellers consummating transactions via open outcry at a central location such as the floor of the exchange or by using an electronic trading platform. To be able to trade a security on a certain stock exchange, the security must be listed there. Usually, there is a central location for record keeping, but trade is increasingly less linked to a physical place as modern markets use electronic communicatio ...
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Statistical Finance
Statistical finance, is the application of econophysics to financial markets. Instead of the normative roots of finance, it uses a positivist framework. It includes exemplars from statistical physics with an emphasis on emergent or collective properties of financial markets. Empirically observed stylized facts are the starting point for this approach to understanding financial markets. Stylized facts # Stock markets are characterised by bursts of price volatility. # Price changes are less volatile in bull markets and more volatile in bear markets. # Price change correlations are stronger with higher volatility, and their auto-correlations die out quickly. # Almost all real data have more extreme events than suspected. # Volatility correlations decay slowly. # Trading volumes have memory the same way that volatilities do. # Past price changes are negatively correlated with future volatilities. Research objectives Statistical finance is focused on three areas: # Empirical stud ...
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Vernon L
Vernon may refer to: Places Australia *Vernon County, New South Wales Canada *Vernon, British Columbia, a city *Vernon, Ontario France * Vernon, Ardèche *Vernon, Eure United States * Vernon, Alabama * Vernon, Arizona * Vernon, California * Lake Vernon, California * Vernon, Colorado * Vernon, Connecticut * Vernon, Delaware * Vernon, Florida, a city * Vernon Lake (Idaho) * Vernon, Illinois * Vernon, Indiana * Vernon, Kansas * Vernon Community, Hestand, Kentucky * Vernon Parish, Louisiana ** Vernon Lake, a man-made lake in the parish * Vernon, Michigan * Vernon Township, Isabella County, Michigan * Vernon Township, Shiawassee County, Michigan * Vernon, Jasper County, Mississippi * Vernon, Madison County, Mississippi * Vernon, Winston County, Mississippi * Vernon Township, New Jersey * Vernon (town), New York ** Vernon (village), New York * Vernon (Mount Olive, North Carolina), a historic plantation house * Vernon Township, Crawford County, Ohio * Vernon Township, Scioto Cou ...
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Shyam Sunder (economist)
Shyam Sunder (born July 10, 1944) is an accounting theorist and experimental economist. He is the James L. Frank Professor of accounting, economics, and finance at the Yale School of Management; a professor in Yale University’s Department of Economics; and a Fellow of the Whitney Humanities Center. Biography Sunder is a pioneer in the fields of experimental finance and experimental macroeconomics. Over the course of his career, he has conducted research on financial reporting, information dissemination in security markets, statistical theory of valuation, and the design of electronic markets. His current research explores how to structure accounting and auditing institutions to obtain an efficient balance between regulatory oversight and market competition. Before moving to the United States, Sunder was educated at IIT Kharagpur, Indian Railways School of Mechanical & Electrical Engineering at Jamalpur. Subsequently he received his PhD from Carnegie Mellon University in 1974 ...
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Charles Plott
Charles Raymond Plott (born July 8, 1938) is an American economist. He currently is Edward S. Harkness Professor of Economics and Political Science at the California Institute of Technology, Director, Laboratory for Experimental Economics and Political Science, and a pioneer in the field of experimental economics. His research is focused on the basic principles of process performance and the use of those principles in the design of new, decentralized processes to solve complex problems. Applications are found in mechanisms for allocating complex items such as the markets for pollution permits in Southern California, the FCC auction of licenses for Personal Communication Systems, the auctions for electric power in California, the allocation of landing rights at the major U.S. airports, access of private trains to public railway tracks, access to natural gas pipelines, the allocation of licenses for offshore aquaculture sites, the combinatorial sale of fleets of vehicles, and the app ...
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Thomas Palfrey
Thomas Rossman Palfrey (born 1953) is the Flintridge Professor of Economics and Political Science at the California Institute of Technology (Caltech) in Pasadena, California, and Fellow of the Econometric Society. He received his Ph.D. in Social Science from Caltech in 1981. He has authored influential papers in the fields of political economy ("Voter Participation and Strategic Uncertainty" with Howard Rosenthal, APSR 1985), game theory ("Quantal Response Equilibria in Normal Form Games" with Richard McKelvey, GEB 1995), implementation ("Nash Implementation Using Undominated Strategies" with S. Srivastava, Econometrica 1991), and experimental economics Experimental economics is the application of experimental methods to study economic questions. Data collected in experiments are used to estimate effect size, test the validity of economic theories, and illuminate market mechanisms. Economic expe ... ("An Experimental Study of the Centipede Game" with R. McKelvey, Econometrica 1 ...
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