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The financial industry is currently dominated by a handful of workhorse models, such as the capital asset pricing model and the Black-Scholes options pricing model. Quantitative financial analysis is mainly based on statistics and economics methodology. Signal processing applications, which hold promising potential, remain relatively unexplored within finance.
Its applications for financial data would add a new perspective and could further enrich financial research.
In the September issue of IEEE Signal Processing Magazine, the “Best of the Web” focuses on data resources and analytic tools for quantitative analysis of financial markets. This column article describes financial data resources available online and through subscription services, discusses analysis techniques and financial technology that facilitate money management, and concludes with a listing of online financial industry publications and some of the latest Web-based financial start-ups. This is a great resource for readers who are interested in financial data and analytic tools.
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