Arturo Leccadito

Prof. Arturo Leccadito

University of Calabria
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2017 in Energy Economics
Verified
Journal Article
Closed access
BABernardina Algieri
Bernardina Algieri
ALArturo Leccadito
Arturo Leccadito

1 April 2014 in International Journal of Forecasting
Verified
Journal Article
Open access
ALArturo Leccadito
Arturo Leccadito
SBSimona Boffelli
Simona Boffelli
GUGiovanni Urga
Giovanni Urga

1 March 2019 in Journal of Commodity Markets
Verified
Journal Article
Closed access
BABernardina Algieri
Bernardina Algieri
ALArturo Leccadito
Arturo Leccadito

7 November 2014 in Econometric Reviews
Verified
Journal Article
Closed access
ALArturo Leccadito
Arturo Leccadito
OROmar Rachedi
Omar Rachedi
GUGiovanni Urga
Giovanni Urga

13 March 2013 in Review of Quantitative Finance and Accounting
Verified
Journal Article
Closed access
PDF file
MCMassimo Costabile
Massimo Costabile
ALArturo Leccadito
Arturo Leccadito
IMIvar Massabó
Ivar Massabó
RERusso Emilio
Russo Emilio

1 July 2020 in Risks
Verified
Journal Article
Open access
PDF file
LBLorenzo Cerboni Baiardi
Lorenzo Cerboni Baiardi
MCMassimo Costabile
Massimo Costabile
DGDomenico De Giovanni
Domenico De Giovanni
FLFabio Lamantia
Fabio Lamantia
ALArturo Leccadito
Arturo Leccadito
ASAlessandro Staino
Alessandro Staino
This paper provides an econometric analysis aiming at evidencing the dynamics showed by the S&P 500 market index during the period of 4 January 2001–28 April 2020, in which the subprime crisis has taken place and the COVID-19 crisis has begun. In particular, we fit a three-regime switching model that allows market parameters to behave differently during economic downturns, with the regimes representative of the tranquil, volatile, and turbulent states. We document that the tranquil regime is the most frequent for the whole period, while the dominant regime is the volatile one for the crisis of 2008 and the turbulent one for the first four months of 2020. We fit the same model to the returns of the Dow Jones Industrial Average index and find that during the same period of investigation, the most frequent regime has been the tranquil one, while the volatile and turbulent regimes share the same frequencies. Additionally, we use a multinomial logit model to describe the probabilities of volatile or turbulent regimes. We show that, in the case of the S&P 500 index, the returns from the Volatility Index (VIX) index are significant for both the volatile and the turbulent regimes, while the gold, WTI oil, and the dollar indices have some explanatory power only for the turbulent regime.