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Vincenzo Candila

Associate Professor of Economic Statistics

Department of Economics and Statistics  (DISES)

University of Salerno - Italy

vcandila at unisa.it

Research interests

• Time series econometrics

• MIxing-Data Sampling (MIDAS) methods

• Statistics in sports

Useful links

Personal page on DISES

Google Scholar

ResearchGate

R packages

• rumidas (estimation of GARCH-MIDAS, Double Asymmetric GARCH-MIDAS, and MEM-MIDAS models)

• dccmidas (estimation of DCC, DCC-MIDAS, and DECO models)

• welo (Weighted and standard Elo rates for tennis)