The management of financial risk is one of the most challenging tasks of financial institutions. In the last two decades, diverse intraday trading strategies proven steps to trading profits wiley trading models and approaches have been developed and refined to address the impact of volatile markets on business. Previous empirical research has shown that certain news stories, such as corporate disclosures, can cause abnormal price behavior subsequent to their publication. On the basis of a data set comprising such news stories as well as intraday stock prices, this paper explores the risk implications of information being newly available to market participants.

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After showing that such events can significantly drive stock price volatilities, this research aims at identifying among the textual data provided those disclosures that have resulted in most supranormal risk exposures. To this end, four different learners — Naïve Bayes, k-Nearest Neighbour, Neural Network, and Support Vector Machine — have been applied in order to detect patterns in the textual data that could explain increased risk exposure. Two evaluations are presented in order to assess the learning capabilities of the approach in the context of risk management. With regard to classification performance, it is also shown that there exist significant differences between the applied learning techniques. Check if you have access through your login credentials or your institution. He is currently writing his PhD thesis under the supervision of Prof.

Oestrich-Winkel, Germany and Real Estate Investment at the University of Reading Business School, Reading, UK. His research interests include decision support systems and Algorithmic Trading. Assistant Professor of Information Systems and holds the E-Finance Lab endowed Chair of E-Finance and Securities Trading at Goethe University Frankfurt. His research interests include design science, decision support systems and IT valuation, especially in the fields of E-Finance and Mobile Business. In these fields, he has published in journals and proceedings such as Decision Support Systems, Journal of Electronic Commerce Research, Journal of International Financial Markets, Institutions and Money and ICIS. Become a SMH member today!

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