Description

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Big Data in Finance: Theory and Empirics represents the culmination of almost two decades of the author's consulting, research, and teaching in Big Data, particularly in the context of finance. Examining uncertainty and risk within Big Data in finance, the book can also be used in applied and advanced analytics. With reader-accessible code, Uncertainty and Risk, Theory and Empirics is of immense value to any graduate or undergraduate course on Big Data in finance.