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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.
Kaum eine andere Industrie wurde in den vergangenen beiden Jahrzehnten so massiv durch den Einzug der Informationstechnologie geprägt wie der Wertpapierhandel. Traditionelle Geschäftsmodelle haben sich grundlegend verändert. Das klassische Börsenparkett ist nahezu vollständig elektronischen Handelsplattformen gewichen.
THE FINANCIAL INDUSTRY HAS EXPERIENCED A CONTINUOUS EVOLUTION IN SERVICE DELIVERY DUE TO DIGITALIZATION. THIS CHANGE MANIFESTS ITSELF IN EXPANDED CONNECTIVITY, ENHANCED SPEED OF INFORMATION PROCESSING, A MULTITUDE OF NEW FINANCIAL PRODUCTS, AND NOVEL FORMS OF CUSTOMER INTERACTION. AGAINST THIS BACKDROP, ACADEMIC RESEARCH HAS ANALYZED THE IMPACT OF DIGITALPROGRESS IN THE FINANCIAL SECTOR. IN ORDER TO PROVIDE AN OVERVIEW ON THIS RESEARCH AND TO IDENTIFY POSSIBLE GAPS, WE HAVE REVIEWED THE RELEVANT LITERATURE IN THIS FIELD APPLYING A SYSTEMATIC AND COMPREHENSIVE SEARCH.