Market And Professional Decision Making Under Risk And Uncertainty
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| Author | : Erick Davidson |
| Publisher | : |
| Total Pages | : 107 |
| Release | : 2007 |
| Genre | : Dynamic programming |
| ISBN | : |
Abstract: This dissertation explores decision making under risk and uncertainty by professionals and markets composed of professionals. Both essays use empirical data from some of the most competitive economic environments imaginable. The first essay looks at market prices resulting from the sum of both professional and lay choices while the second analyzes the individual choices of professional gamblers. Both essays propose a theoretical framework to not just positively identify what professionals do, but also prescribe normatively what they should do. In both cases, the two are found to be different. The first essay, Market Response to Risk and Uncertainty, 2004 Hurricane Forecasts, develops a simple function to explain insurance losses from hurricanes as a function of short-term forecasts. After demonstrating the accuracy of the function in explaining 2004 insurance claims, the remainder of the essay looks at the stock market's use of these forecasts in pricing insurer and US economy risk. Despite causing billions in damages, both hurricanes and hurricane forecasts are found to have only marginal impacts on financial markets. Surprisingly, markets fail to make efficient use of hurricane forecasts in pricing both insurer and general market exposure to hurricane risk. A potential explanation for market inefficiency around hurricane information is that, like researchers, financial actors may be confounding uncertainty for unpredictability. The second essay, Know When to Hold'em, examines a specific decision within a highly popular, high-stakes version of poker. Like financial markets analyzed in the first essay, professional gamblers must make risky decisions with uncertain probabilities of success. Gamblers are found to be both overly conservative in their choices and overly confident in their abilities to predict uncertain outcomes. A simple statistical model that generalizes across situations to form a naïve probability of having the best cards, is found to be as effective in decision making as players' true expectations of winning. Additionally, a dynamic theoretical model is presented in order to show professional divergence from risk-neutral expected profit maximization in the credit constrained world of tournament poker. Interestingly the value function, derived from this model, is equivalent to an optimal stock price of a poker player.
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 124 |
| Release | : 2006-10-09 |
| Genre | : Science |
| ISBN | : 0309180538 |
Uncertainty is a fundamental characteristic of weather, seasonal climate, and hydrological prediction, and no forecast is complete without a description of its uncertainty. Effective communication of uncertainty helps people better understand the likelihood of a particular event and improves their ability to make decisions based on the forecast. Nonetheless, for decades, users of these forecasts have been conditioned to receive incomplete information about uncertainty. They have become used to single-valued (deterministic) forecasts (e.g., "the high temperature will be 70 degrees Farenheit 9 days from now") and applied their own experience in determining how much confidence to place in the forecast. Most forecast products from the public and private sectors, including those from the National Oceanographic and Atmospheric Administration's National Weather Service, continue this deterministic legacy. Fortunately, the National Weather Service and others in the prediction community have recognized the need to view uncertainty as a fundamental part of forecasts. By partnering with other segments of the community to understand user needs, generate relevant and rich informational products, and utilize effective communication vehicles, the National Weather Service can take a leading role in the transition to widespread, effective incorporation of uncertainty information into predictions. "Completing the Forecast" makes recommendations to the National Weather Service and the broader prediction community on how to make this transition.
| Author | : Antonio J. Conejo |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 549 |
| Release | : 2010-09-08 |
| Genre | : Business & Economics |
| ISBN | : 1441974210 |
Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.
| Author | : Mohammed Abdellaoui |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 245 |
| Release | : 2008-08-29 |
| Genre | : Business & Economics |
| ISBN | : 3540684360 |
Whether we like it or not we all feel that the world is uncertain. From choosing a new technology to selecting a job, we rarely know in advance what outcome will result from our decisions. Unfortunately, the standard theory of choice under uncertainty developed in the early forties and fifties turns out to be too rigid to take many tricky issues of choice under uncertainty into account. The good news is that we have now moved away from the early descriptively inadequate modeling of behavior. This book brings the reader into contact with the accomplished progress in individual decision making through the most recent contributions to uncertainty modeling and behavioral decision making. It also introduces the reader into the many subtle issues to be resolved for rational choice under uncertainty.
| Author | : |
| Publisher | : |
| Total Pages | : 80 |
| Release | : 2000 |
| Genre | : Decision making |
| ISBN | : |
| Author | : J. Geweke |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 256 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 9401128383 |
As desired, the infonnation demand correspondence is single valued at equilibrium prices. Hence no planner is needed to assign infonnation allocations to individuals. Proposition 4. For any given infonnation price system p E . P (F *), almost every a E A demands a unique combined infonnation structure (although traders may be indifferent among partial infonnation sales from different information allocations, etc. ). In particular, the aggregate excess demand correspondence for net combined infonnation trades is a continuous function. Proof Uniqueness fails only if an agent can obtain the same expected utility from two or more net combined infonnation allocations. If this happens, appropriate slight perturbations of personal probability vectors destroy the equality unless the utility functions and wealth allocations were independent across states. Yet, when utilities and wealths don't depend on states in S, no infonnation to distinguish the states is desired, so that the demand for such infonnation structures must equal zero. To show the second claim, recall that if the correspondence is single valued for almost every agent, then its integral is also single valued. Finally, note that an upper hemicontinuous (by Proposition 2) correspondence which is single valued everywhere is, in fact, a continuous function. [] REFERENCES Allen, Beth (1986a). "The Demand for (Differentiated) Infonnation"; Review of Economic Studies. 53. (311-323). Allen, Beth (1986b). "General Equilibrium with Infonnation Sales"; Theory and Decision. 21. (1-33). Allen, Beth (1990). "Infonnation as an Economic Commodity"; American Economic Review. 80. (268-273).
| Author | : Frank H. Knight |
| Publisher | : Cosimo, Inc. |
| Total Pages | : 401 |
| Release | : 2006-11-01 |
| Genre | : Business & Economics |
| ISBN | : 1602060053 |
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.
| Author | : Constantin Zopounidis |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 520 |
| Release | : 2013-04-17 |
| Genre | : Business & Economics |
| ISBN | : 147572845X |
This book provides a new point of view on the subject of the management of uncertainty. It covers a wide variety of both theoretical and practical issues involving the analysis and management of uncertainty in the fields of finance, management and marketing. Audience: Researchers and professionals from operations research, management science and economics.
| Author | : Mykel J. Kochenderfer |
| Publisher | : MIT Press |
| Total Pages | : 350 |
| Release | : 2015-07-24 |
| Genre | : Computers |
| ISBN | : 0262331713 |
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
| Author | : Michael J. Mauboussin |
| Publisher | : Harvard Business Press |
| Total Pages | : 312 |
| Release | : 2012 |
| Genre | : Business & Economics |
| ISBN | : 1422184234 |
In this provocative book, Michael Mauboussin offers the structure needed to analyze the relative importance of skill and luck, offering concrete suggestions for making these insights work to your advantage by making better decisions.
