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SIGBPS AOI: Financial Intelligence and Applications Track Chairs:
Daning Hu (University of Zurich)
Track Description: The recent global financial tsunami (2008 – present) has been considered by many economists as the worst financial crisis since the Great Depression in the 1930s. It has resulted in the collapse of major financial institutions like Lehman Brothers, downturns of stock markets around the world, and even breakdowns of financial systems in several countries like Greece and Iceland. One major cause of this crisis is the lack of effective technologies and methods to collect, model, and analyze large-scale, real-time financial data. Financial intelligence (FI) as a broad category of innovative technologies aims to “gather information about the financial affairs of entities of interest, understand their nature and capabilities, and predict their intentions” (Wikipedia). It emerges from the confluence of several distinct disciplines such as artificial intelligence, process management, business intelligence, data mining, simulation, and network analysis, etc. Therefore, this research track aims to attract novel research on this multi-disciplinary domain, particularly in the following perspectives.
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