000			03796nam a22002537a 4500
999			_c1602 _d1602
005			20220222110807.0
008			220222b ||||| |||| 00| 0 eng d
020			_a9784431566403
082			_a332.60285 _bKIT
245			_aRealistic simulation of financial markets: analyzing market behaviors by the third mode of science
260			_bSpringer _aJapan _c2016
300			_axv, 197 p.
365			_aEURO _b109.99
490			_aEvolutionary economics and social complexity science
504			_aTable of content Front Matter Pages i-xv PDF U-Mart System: The First Test Bed of the Third Mode of Science Front Matter Pages 1-1 PDF A Guided Tour of the Backside of Agent-Based Simulation Yoshinori Shiozawa Pages 3-50 Research on ABS and Artificial Market Hajime Kita Pages 51-58 Building Artificial Markets for Evaluating Market Institutions and Trading Strategies Isao Ono, Hiroshi Sato Pages 59-85 A Perspective on the Future of the Smallest Big Project in the World Takao Terano Pages 87-93 Applications of Artificial Markets Front Matter Pages 95-95 PDF Evolution of Day Trade Agent Strategy by Means of Genetic Programming with Machine Learning Naoki Mori Pages 97-115 How to Estimate Market Maker Models in an Artificial Market Yoshihiro Nakajima Pages 117-135 The Effect of Resilience in Optimal Execution with Artificial-Market Approach Hiroyuki Matsui, Ryo Ohyama Pages 137-169 Observation of Trading Process, Exchange, and Market Kazuhisa Taniguchi Pages 171-193 Back Matter Pages 195-197
520			_aIntroduction This book takes up unique agent-based approaches to solving problems related to stock and their derivative markets. Toward this end, the authors have worked for more than 15 years on the development of an artificial market simulator called U-Mart for use as a research and educational tool. A noteworthy feature of the U-Mart simulator compared to other artificial market simulators is that U-Mart is an ultra-realistic artificial stock and their derivative market simulator. For example, it can simulate “arrowhead,” a next-generation trading system used in the Tokyo Stock Exchange and other major markets, as it takes into consideration the institutional design of the entire market. Another interesting feature of the U-Mart simulator is that it permits both human and computer programs to participate simultaneously as traders in the artificial market. In this book, first the details of U-Mart are explained, enabling readers to install and run the simulator on their computers for research and educational purposes. The simulator thus can be used for gaming simulation of the artificial market and even for users as agents to implement their own trading strategies for agent-based simulation (ABS).The book also presents selected research cases using the U-Mart simulator. Here, topics include automated acquisition of trading strategy using artificial intelligence techniques, evaluation of a market maker system to treat thin markets such as those for small and regional businesses, systemic risk analysis of the financial market considering institutional design of the market, and analysis of how humans behave and learn in gaming simulation. New perspectives on artificial market research are provided, and the power, potential, and challenge of ABS are discussed. As explained in this important work, ABS is considered to be an effective tool as the third approach of social science, an alternative to traditional literary and mathematical approaches.
650			_aInvestments--Computer simulation _95477
650			_aMacroeconomics _91161
650			_aEconomics _9722
700			_aKita, Hajime _94537
700			_aTaniguchi, Kazuhisa _95478
700			_aNakajima, Yoshihiro _95479
942			_2ddc _cBK