Forecasting news-related liquidity shocks: extracting signals from unstructured data
- TO DERIVE OPTIMAL ORDER EXECUTION STRATEGIES THAT STRIVE TO MINIMIZE TRANSACTION COSTS, INVESTORS AS WELL AS AUTOMATED TRADING ENGINES MUST BE ABLE TO ANTICIPATE CHANGES IN THE AVAILABLE MARKET LIQUIDITY. BASED ON AN EVENT STUDY ON THE LIQUIDITY IMPACT OF AD-HOC DISCLOSURES, WE PROPOSE A NOVEL IT ARTIFACT THAT ALLOWS AUTOMATED TRADING ENGINES TO APPROPRIATELY REACT TO NEWS-RELATED LIQUIDITY SHOCKS. FURTHERMORE, WE PROVIDE A SIMULATIONBASED EVALUATION THAT SHOWS ITS ECONOMIC RELEVANCE.
| Author: | Sven S. Groth, Michael Siering, Peter GomberORCiDGND |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-579735 |
| ISSN: | 1866-1238 |
| Parent Title (English): | EFL quarterly : an E-Finance Lab publication |
| Publisher: | E-Finance Lab e.V. |
| Place of publication: | Frankfurt am Main |
| Document Type: | Article |
| Language: | English |
| Year of Completion: | 2015 |
| Year of first Publication: | 2015 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2021/01/28 |
| Volume: | 2015 |
| Issue: | 1 |
| Page Number: | 3 |
| First Page: | 6 |
| Last Page: | 8 |
| HeBIS-PPN: | 477247717 |
| Institutes: | Angeschlossene und kooperierende Institutionen / E-Finance Lab e.V. |
| Dewey Decimal Classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Deutsches Urheberrecht |
