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This book presents both theory of financial data analytics, as well
as comprehensive insights into the application of financial data
analytics techniques in real financial world situations. It offers
solutions on how to logically analyze the enormous amount of
structured and unstructured data generated every moment in the
finance sector. This data can be used by companies, organizations,
and investors to create strategies, as the finance sector rapidly
moves towards data-driven optimization. This book provides an
efficient resource, addressing all applications of data analytics
in the finance sector. International experts from around the globe
cover the most important subjects in finance, including data
processing, knowledge management, machine learning models, data
modeling, visualization, optimization for financial problems,
financial econometrics, financial time series analysis, project
management, and decision making. The authors provide empirical
evidence as examples of specific topics. By combining both
applications and theory, the book offers a holistic approach.
Therefore, it is a must-read for researchers and scholars of
financial economics and finance, as well as practitioners
interested in a better understanding of financial data analytics.
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