MARC보기
LDR02026nmm uu200397 4500
001000000330883
00520240805163013
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438127036
035 ▼a (MiAaPQ)AAI10903097
035 ▼a (MiAaPQ)umichrackham:001304
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 004
1001 ▼a Brinkman, Erik.
24510 ▼a Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis.
260 ▼a [S.l.] : ▼b University of Michigan., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 103 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Michael P. Wellman.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2018.
520 ▼a Financial market activity is increasingly controlled by algorithms, interacting through electronic markets. Unprecedented information response times, autonomous operation, use of machine learning and other adaptive techniques, and ability to pro
520 ▼a Some of the incentives traders face arise from the complexities of modern market structure. Recent studies have turned to agent-based modeling as a way to capture behavioral response to this structure. Agent-based modeling is a simulation paradi
520 ▼a I use empirical game-theoretic analysis, a methodology for computing approximately rational behavior in agent-based models, to investigate three important aspects of market structure. First, I evaluate the impact of strategic bid shading on agen
590 ▼a School code: 0127.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a University of Michigan. ▼b Computer Science & Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000591 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자