Title data
Baumann, Michael Heinrich:
Beating the Market? : A Mathematical Puzzle to Market Efficiency.
2018
Event: Seventeenth Annual European Economics and Finance Society Conference (EEFS2018)
, 21.-24. Juni 2018
, Department of Economics, City, University of London, London, England.
(Conference item: Conference
,
Speech
)
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Project information
Project financing: |
Bundesministerium für Bildung und Forschung Hanns-Seidel-Stiftung Promotionsstipendium |
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Abstract in another language
The efficient market hypothesis is highly discussed - supported and criticized - in economic literature. In its strongest form, it states that there are no price trends. When weakening the non-trending assumption only a little to arbitrary short, small, and fully unknown trends, I mathematically prove, for a specific class of control-based trading strategies, positive expected gains. Adjustments for risk and comparisons with buy-and-hold strategies do not satisfactorily solve the problem. In addition, in an exemplary backtesting study, when transaction costs and bid-ask-spreads are taken into account, I still observe, on average, positive gains. These strategies are model-free, i.e., a trader neither has to estimate market parameters as the trend's sign nor has to think about predictable patterns, etc. In this work, I bring together the economists' view on efficient markets and the engineers' view on feedback trading.
Further data
Item Type: | Conference item (Speech) |
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Refereed: | Yes |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) Profile Fields > Advanced Fields > Nonlinear Dynamics Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS) Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Profile Fields Profile Fields > Advanced Fields Research Institutions Research Institutions > Research Centres |
Result of work at the UBT: | Yes |
DDC Subjects: | 300 Social sciences > 330 Economics 500 Science > 510 Mathematics |
Date Deposited: | 28 Aug 2018 06:41 |
Last Modified: | 28 Aug 2018 06:41 |
URI: | https://eref.uni-bayreuth.de/id/eprint/45589 |