語系:
繁體中文
English
日文
簡体中文
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Realistic simulation of financial ma...
~
Kita, Hajime.
Realistic simulation of financial markets[electronic resource] :analyzing market behaviors by the third mode of science /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
332.60285
書名/作者:
Realistic simulation of financial markets : analyzing market behaviors by the third mode of science // edited by Hajime Kita, Kazuhisa Taniguchi, Yoshihiro Nakajima.
其他作者:
Kita, Hajime.
出版者:
Tokyo : : Springer Japan :, 2016.
面頁冊數:
xv, 197 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Investments - Computer simulation.
標題:
Economics.
標題:
Macroeconomics/Monetary Economics//Financial Economics.
標題:
Finance, general.
標題:
Economic Theory/Quantitative Economics/Mathematical Methods.
ISBN:
9784431550570
ISBN:
9784431550563
內容註:
Part I U-Mart System: The first test bed of the Third Mode of Science -- 1 A Guided Tour of the Backside of Agent-Based Simulation -- 2 Research on ABS and Artificial Market -- 3 Building Artificial Markets for Evaluating Market Institutions and Trading Strategies -- 4 A Perspective on the Future of the Smallest Big Project in the World -- Part II Applications of Artificial Markets -- 5 Evolution of Day Trade Agent Strategy by means of Genetic Programming with Machine Learning -- 6 How to Estimate Market Maker Models in an Artificial Market -- 7 The Effect of Resilience in Optimal Execution with Artificial Market Approach -- 8 Observation of Trading Process, Exchange, and Market -- Index.
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1007/978-4-431-55057-0
Realistic simulation of financial markets[electronic resource] :analyzing market behaviors by the third mode of science /
Realistic simulation of financial markets
analyzing market behaviors by the third mode of science /[electronic resource] :edited by Hajime Kita, Kazuhisa Taniguchi, Yoshihiro Nakajima. - Tokyo :Springer Japan :2016. - xv, 197 p. :ill., digital ;24 cm. - Evolutionary economics and social complexity science,v.42198-4204 ;. - Evolutionary economics and social complexity science ;v.1..
Part I U-Mart System: The first test bed of the Third Mode of Science -- 1 A Guided Tour of the Backside of Agent-Based Simulation -- 2 Research on ABS and Artificial Market -- 3 Building Artificial Markets for Evaluating Market Institutions and Trading Strategies -- 4 A Perspective on the Future of the Smallest Big Project in the World -- Part II Applications of Artificial Markets -- 5 Evolution of Day Trade Agent Strategy by means of Genetic Programming with Machine Learning -- 6 How to Estimate Market Maker Models in an Artificial Market -- 7 The Effect of Resilience in Optimal Execution with Artificial Market Approach -- 8 Observation of Trading Process, Exchange, and Market -- Index.
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.
ISBN: 9784431550570
Standard No.: 10.1007/978-4-431-55057-0doiSubjects--Topical Terms:
404970
Investments
--Computer simulation.
LC Class. No.: HG4515.5 / .R43 2016
Dewey Class. No.: 332.60285
Realistic simulation of financial markets[electronic resource] :analyzing market behaviors by the third mode of science /
LDR
:03847nmm a2200349 a 4500
001
462154
003
DE-He213
005
20160706142216.0
006
m d
007
cr nn 008maaau
008
170223s2016 ja s 0 eng d
020
$a
9784431550570
$q
(electronic bk.)
020
$a
9784431550563
$q
(paper)
024
7
$a
10.1007/978-4-431-55057-0
$2
doi
035
$a
978-4-431-55057-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HG4515.5
$b
.R43 2016
072
7
$a
KCB
$2
bicssc
072
7
$a
KCBM
$2
bicssc
072
7
$a
BUS039000
$2
bisacsh
072
7
$a
BUS045000
$2
bisacsh
082
0 4
$a
332.60285
$2
23
090
$a
HG4515.5
$b
.R288 2016
245
1 0
$a
Realistic simulation of financial markets
$h
[electronic resource] :
$b
analyzing market behaviors by the third mode of science /
$c
edited by Hajime Kita, Kazuhisa Taniguchi, Yoshihiro Nakajima.
260
$a
Tokyo :
$b
Springer Japan :
$b
Imprint: Springer,
$c
2016.
300
$a
xv, 197 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Evolutionary economics and social complexity science,
$x
2198-4204 ;
$v
v.4
505
0
$a
Part I U-Mart System: The first test bed of the Third Mode of Science -- 1 A Guided Tour of the Backside of Agent-Based Simulation -- 2 Research on ABS and Artificial Market -- 3 Building Artificial Markets for Evaluating Market Institutions and Trading Strategies -- 4 A Perspective on the Future of the Smallest Big Project in the World -- Part II Applications of Artificial Markets -- 5 Evolution of Day Trade Agent Strategy by means of Genetic Programming with Machine Learning -- 6 How to Estimate Market Maker Models in an Artificial Market -- 7 The Effect of Resilience in Optimal Execution with Artificial Market Approach -- 8 Observation of Trading Process, Exchange, and Market -- Index.
520
$a
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
0
$a
Investments
$x
Computer simulation.
$3
404970
650
1 4
$a
Economics.
$3
172164
650
2 4
$a
Macroeconomics/Monetary Economics//Financial Economics.
$3
634732
650
2 4
$a
Finance, general.
$3
634722
650
2 4
$a
Economic Theory/Quantitative Economics/Mathematical Methods.
$3
634752
700
1
$a
Kita, Hajime.
$3
666438
700
1
$a
Taniguchi, Kazuhisa.
$3
666439
700
1
$a
Nakajima, Yoshihiro.
$3
666440
710
2
$a
SpringerLink (Online service)
$3
463450
773
0
$t
Springer eBooks
830
0
$a
Evolutionary economics and social complexity science ;
$v
v.1.
$3
603157
856
4 0
$u
http://dx.doi.org/10.1007/978-4-431-55057-0
950
$a
Economics and Finance (Springer-41170)
筆 0 讀者評論
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-4-431-55057-0
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入