LDR | | 00000nmm u2200205 4500 |
001 | | 000000330883 |
005 | | 20241105164934 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438127036 |
035 | |
▼a (MiAaPQ)AAI10903097 |
035 | |
▼a (MiAaPQ)umichrackham:001304 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 004 |
100 | 1 |
▼a Brinkman, Erik. |
245 | 10 |
▼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. |
502 | 1 |
▼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 |
710 | 20 |
▼a University of Michigan.
▼b Computer Science & Engineering. |
773 | 0 |
▼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 |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000591
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |