Results 81 to 90 of about 501 (170)

Measuring value-at-risk and expected shortfall of newer cryptocurrencies: new insights

open access: yesCogent Business & Management
A significant amount of historical returns is needed for the generalized autoregressive conditional heteroscedasticity (GARCH) models to be calibrated.
Agoestina Mappadang   +4 more
doaj   +1 more source

ePoster

open access: yes
European Journal of Neurology, Volume 32, Issue S1, June 2025.
wiley   +1 more source

MODELLING ENERGY MARKET VOLATILITY USING GARCH MODELS AND ESTIMATING VALUE-AT-RISK [PDF]

open access: yes, 2019
Purpose: The study focused on modelling the volatility of energy markets spot prices using GARCH models and estimating Value-at-Risk. Methodology: The conditional heteroscedasticity models are used to model the volatility of gasoline and crude oil energy
Ngunyi, Antony   +2 more
core   +1 more source

UEG Week 2024 Moderated Posters

open access: yes
United European Gastroenterology Journal, Volume 12, Issue S8, Page 201-664, October 2024.
wiley   +1 more source

Tourism stocks in times of crises: An econometric investigation of unexpected non-macroeconomic factors [PDF]

open access: yes, 2017
Following the recent terrorist attacks in Paris, the European media emphatically pronounced that billions of Euros were wiped from tourism related stocks.
Lambertides, Neophytos   +3 more
core   +2 more sources

ePosters

open access: yes
European Journal of Neurology, Volume 31, Issue S1, June 2024.
wiley   +1 more source

Automatic Data Processing System of Constructing an Optimal Mean/Value-at-Risk Portfolio [PDF]

open access: yes, 2019
We propose a computer-based automatic system of share prices processing for constructing an optimal mean/Valueat-Risk portfolio with mixed integer linear programming algorithm based on Benati - Rizzi method.
Belsner, Olga Alexandrovna   +1 more
core  

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