Evolution, efficiency and noise traders in a one-sided auction market ¬リニ
نویسنده
چکیده
Natural selection is used to examine a one-sided buyer auction market. With each trader’s behavior preprogrammed with its own inherent and fixed probabilities of overpredicting, predicting correctly and underpredicting the fundamental value of the asset, informational efficiency occurs. If each buyer’s initial wealth is sufficiently small relative to the market supply and if the variation in the asset’s random shock is sufficiently small, then as time gets sufficiently large, the proportion of time, that the asset price is arbitrarily close to the fundamental value, converges to one with probability one. This is established under a weak restriction regarding traders’ behavior. r 2002 Elsevier Science B.V. All rights reserved. JEL classificaion: G14; G10; C73
منابع مشابه
Evolution of market mechanism through a continuous space of auction-type II
This paper describes the use of a genetic algorithm (GA) to find parameter-values for trading agents that operate in virtual “e-marketplaces”, where the rules of the marketplaces are also under simultaneous control of the GA. The aim is to use the GA to automatically design new agent-based e-marketplaces that are more efficient than markets designed by (or populated by) humans. Das et al. (2001...
متن کاملEfficiency of Large Double Auctions
MANY MARKET SETTINGS are approximated by a double auction. Standard examples are the London gold market and the order books maintained by New York Stock Exchange specialists. These auctions typically have many traders on each side of the market. More importantly, large double auctions are an excellent model for microfoundations of price formation in competitive markets. Like a competitive marke...
متن کاملEvolution of Market Mechanism Through a Continuous Space of Auction-Types III: Multiple Market Shocks Give Convergence Toward CDA
This paper builds on previous papers describing our ongoing research in automated market-mechanism design: using a genetic algorithm (GA) to find optimal parameter-settings for softwareagent traders that operate in virtual “e-marketplaces”, where the rules of the marketplaces are also under simultaneous control of the GA. The aim is that the GA automatically designs new agentbased e-marketplace...
متن کاملAutomated trading agents verses virtual humans: An evolutionary game-theoretic comparison of two double-auction market designs
In this paper we describe an analysis, using evolutionary game theory, of two double auction markets—the clearing house auction and the continuous double auction. We use heuristic-strategy approximation to analyse two broad classes of traders. One heuristic strategy approximates human behavior, and the other is a simple automated strategy, so our analysis permits us to predict the evolution of ...
متن کاملCo-evolving Trading Strategies to Analyze Bounded Rationality in Double Auction Markets
We investigate double-auction (DA) market behavior under traders with different degrees of rationality (intelligence or cognitive ability). The rationality of decision making is implemented using genetic programming (GP), where each trader evolves a population of strategies to conduct an auction. By assigning the GP traders different population sizes to differentiate their cognitive ability, th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015