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Financial Time Series: Methods and Models

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Caporin, M

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  • Published in: JOURNAL OF RISK AND FINANCIAL MANAGEMENT
  • Year: 2020
  • Abstract: The statistical analysis of financial time series is a rich and diversified research field whose inherent complexity requires an interdisciplinary approach, gathering together several disciplines, such as statistics, economics, and computational sciences. This special issue of the Journal of Risk and Financial Management on “Financial Time Series: Methods & Models” contributes to the evolution of research on the analysis of financial time series by presenting a diversified collection of scientific contributions exploring different lines of research within this field.
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Massimiliano Caporin

Professor in Econometrics - University of Padua

GRETA Associate, Scientific Committee and Director of the Area Investment & Financial Advisory

https://homes.stat.unipd.it/massimilianocaporin/