Abstract
We develop a Manipulation Index (ManIx) that captures the potential manipulation intention of dealers during the World Markets/Reuters (WMR) benchmark (London Close) period at 4 pm London time through a unique algorithm and simulation. The application of this model (using a dataset with dealers’ identities) can identify banks that are prone to potential manipulative behavior. The results concerning the identified banks are validated by the regulatory investigations. Implementation of this algorithm allows regulators better direct their limited resources towards more targeted in-depth investigation.
Original language | English |
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Pages (from-to) | 670-688 |
Number of pages | 19 |
Journal | European Journal of Finance |
Volume | 25 |
Issue number | 7 |
DOIs | |
Publication status | Published - 5 Sept 2019 |
Keywords
- simulation
- regulation technology
- WMR fixing
- FX market manipulation
- market microstructure