CANDILA, Vincenzo
 Distribuzione geografica
Continente #
AS - Asia 4.681
NA - Nord America 1.763
EU - Europa 1.121
SA - Sud America 203
AF - Africa 27
Continente sconosciuto - Info sul continente non disponibili 2
OC - Oceania 2
Totale 7.799
Nazione #
HK - Hong Kong 3.701
US - Stati Uniti d'America 1.716
IT - Italia 593
SG - Singapore 449
CN - Cina 178
BR - Brasile 152
VN - Vietnam 132
RU - Federazione Russa 124
FR - Francia 84
DE - Germania 63
UA - Ucraina 47
IE - Irlanda 46
GB - Regno Unito 34
TR - Turchia 33
IN - India 31
KR - Corea 28
SE - Svezia 25
MX - Messico 21
AR - Argentina 20
PL - Polonia 19
CA - Canada 18
TW - Taiwan 17
BD - Bangladesh 16
IQ - Iraq 16
FI - Finlandia 15
NL - Olanda 14
ES - Italia 13
JP - Giappone 12
PK - Pakistan 11
CH - Svizzera 10
MY - Malesia 10
CO - Colombia 8
ID - Indonesia 8
AT - Austria 7
ZA - Sudafrica 7
CZ - Repubblica Ceca 6
KE - Kenya 6
SA - Arabia Saudita 6
UZ - Uzbekistan 6
VE - Venezuela 6
BO - Bolivia 5
PH - Filippine 5
EC - Ecuador 4
LT - Lituania 4
NP - Nepal 4
PT - Portogallo 4
BG - Bulgaria 3
CL - Cile 3
EG - Egitto 3
HU - Ungheria 3
PY - Paraguay 3
AF - Afghanistan, Repubblica islamica di 2
DZ - Algeria 2
EU - Europa 2
GE - Georgia 2
IL - Israele 2
JM - Giamaica 2
LB - Libano 2
LU - Lussemburgo 2
OM - Oman 2
TH - Thailandia 2
TN - Tunisia 2
TT - Trinidad e Tobago 2
AE - Emirati Arabi Uniti 1
AL - Albania 1
AU - Australia 1
AZ - Azerbaigian 1
BH - Bahrain 1
BY - Bielorussia 1
CI - Costa d'Avorio 1
CV - Capo Verde 1
CY - Cipro 1
DO - Repubblica Dominicana 1
GA - Gabon 1
GF - Guiana Francese 1
GN - Guinea 1
IR - Iran 1
JO - Giordania 1
KI - Kiribati 1
LV - Lettonia 1
MK - Macedonia 1
MZ - Mozambico 1
NI - Nicaragua 1
NO - Norvegia 1
PA - Panama 1
PE - Perù 1
SV - El Salvador 1
ZM - Zambia 1
ZW - Zimbabwe 1
Totale 7.799
Città #
Hong Kong 3.690
Singapore 226
Ann Arbor 221
Chandler 188
San Jose 177
Ashburn 154
Princeton 112
Dallas 108
Jacksonville 60
Woodbridge 58
Council Bluffs 50
Rome 49
Salerno 42
Dublin 39
Lauterbourg 39
Wilmington 38
Beijing 35
Ho Chi Minh City 35
Hanoi 34
The Dalles 33
Moscow 31
Milan 29
Dong Ket 23
Houston 21
Izmir 21
Andover 17
Mestre 16
New York 16
Changsha 15
Daxi 15
São Paulo 15
Santa Clara 13
Sant'anastasia 12
Teano 12
Los Angeles 11
Naples 11
Warsaw 11
Boardman 10
Pozzuoli 10
Washington 10
Nanjing 9
Seattle 9
Tokyo 9
Baghdad 8
Bologna 8
Catania 8
Frankfurt am Main 8
Guangzhou 8
Haiphong 8
Mexico City 8
Orem 8
Stockholm 8
Fairfield 7
Gragnano 7
Pomigliano d'Arco 7
Brooklyn 6
Chicago 6
Kuala Lumpur 6
Lucca 6
Nanchang 6
Nuremberg 6
Reading 6
Stratford-upon-avon 6
Amsterdam 5
Brno 5
Cercola 5
Charlotte 5
Columbus 5
Da Nang 5
Fisciano 5
Hebei 5
Karachi 5
Munich 5
Ravenna 5
Redwood City 5
Rio de Janeiro 5
Tashkent 5
Vienna 5
Bari 4
Belo Horizonte 4
Brasília 4
Chennai 4
Des Moines 4
Ercolano 4
Istanbul 4
Jiaxing 4
Johannesburg 4
Lahore 4
London 4
Marseille 4
Montreal 4
Nairobi 4
Paredes 4
Paris 4
Pellezzano 4
Sevilla 4
Teresina 4
Turin 4
Waterloo 4
Worms 4
Totale 6.038
Nome #
Corporate Governance, Investment, Profitability and Insolvency Risk: Evidence from Italy 917
Does U.S. monetary policy affect crude oil future price volatility? An empirical investigation 711
On the asymmetric impact of macro–variables on volatility 462
The Impact of ESG Scores on Risk Market Performance 433
Neural networks and betting strategies for tennis 375
Double Asymmetric GARCH-MIDAS model - new insights and results 355
Comparison of the forecasting performances of multivariate volatility models 326
Local and Global Economic Policy Uncertainty Influence on US Stock Market Volatility 323
Combining Value-at-Risk and Expected Shortfall measures 267
A new model for predicting the winner in tennis based on the eigenvector centrality 222
Governance, Innovation, Profitability, and Credit Risk: Evidence from Italian manufacturing firms 201
The use of loss functions in assessing the VaR measures 189
Comparing multivariate volatility forecasts by direct and indirect approaches 188
Evaluation of volatility forecasts in a VaR framework 183
Analisi di alcune variabili critiche 180
On the influence of US monetary policy on crude oil price volatility 170
Analisi di scenario 160
Evaluation of volatility predictions in a VaR framework 156
A Model Confidence Set approach to the combination of multivariate volatility forecasts 137
Adding MIDAS terms to Linear ARCH models in a Quantile Regression framework 129
Combining Multivariate Volatility Models 127
Choosing the frequency of volatility components within the Double Asymmetric GARCH–MIDAS–X model 110
Do Agriculture Commodities Spill over onto Latin Stock Markets? 107
Energy and non–energy Commodities: Spillover Effects on African Stock Markets 102
Adaptive combinations of tail-risk forecasts 100
Eras of dominance: identifying strong and weak periods in professional tennis 99
Choosing between weekly and monthly volatility drivers within a Double Asymmetric GARCH-MIDAS model 96
I redditi dichiarati a Firenze. Uno studio basato sulle dichiarazioni dei redditi delle persone fisiche 94
Weighted Elo rating for tennis match predictions 94
Estimating the Implied Probabilities in the Tennis Betting Market: A New Normalization Procedure 92
On the Volatility Spillover between Agricultural Commodities and Latin American Stock Markets 82
Conditional Quantile Estimation for Linear ARCH Models with MIDAS Components 79
On the Use of Mixed Sampling in Modelling Realized Volatility: The MEM–MIDAS 71
Strong eras in male professional tennis 62
Doubly multiplicative error models with long- and short-run components 62
Mixed-frequency quantile regressions to forecast value-at-risk and expected shortfall 60
welo: An R package for Weighted and standard Elo rates 60
Mixed-frequency Quantile Regression Forests for Value-at-Risk forecasting 57
Hypotheses testing in mixed–frequency volatility models: a bootstrap approach 55
On the relationship between oil and exchange rates of oil-exporting and oil-importing countries: From the great recession period to the covid-19 era 49
Multivariate analysis of cryptocurrencies 49
Is Monetary Policy a Driver of Cryptocurrencies? Evidence from a Structural Break GARCH-MIDAS Approach 45
Multivariate analysis of energy commodities during the covid-19 pandemic: Evidence from a mixed-frequency approach 40
Evaluation of Volatility Forecasts 18
Totale 7.894
Categoria #
all - tutte 18.802
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 18.802


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021113 0 0 0 0 0 0 0 0 0 18 47 48
2021/2022287 4 1 7 15 10 9 8 16 25 71 35 86
2022/2023416 37 57 7 52 40 86 5 24 56 9 27 16
2023/2024281 21 17 13 11 25 76 25 32 6 8 12 35
2024/2025630 39 21 20 17 42 44 127 30 72 31 69 118
2025/20265.170 926 1.751 1.238 146 243 109 353 71 130 203 0 0
Totale 7.894