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Empirical testing of models of autoregressive conditional heteroscedasticity used for prediction of the volatility of Bulgarian investment funds

Petrova, Mariana; Todorov, Teodor - In: Risks : open access journal 11 (2023) 11, pp. 1-30

The relevance of the development is determined by the possibility of testing a complex analytical methodology for forecasting the daily volatility of Bulgarian investment funds, which will support the investment community in making adequate investment decisions. The used risk attribution...

Persistent link: https://www.econbiz.de/10014436423

When the US stock market becomes extreme?

Aboura, Sofiane - In: Risks : open access journal 2 (2014) 2, pp. 211-225

real estate bubble burst, credit crunch and banking panics. As a response, extreme value theory (EVT) provides a set of …

Persistent link: https://www.econbiz.de/10010399734

Global risk evolution and diversification : a Copula-DCC-GARCH model approach

Righi, Marcelo Brutti; Ceretta, Paulo Sergio - In: Revista Brasileira de Finanças : RBFin 10 (2012) 4, pp. 529-550

Persistent link: https://www.econbiz.de/10010412236

Evaluating an EGARCH model with fat tails, skewness and leverage in forecasting VaR

Benito Muela, Sonia - In: Journal of contemporary management : JMC 4 (2015) 3, pp. 67-80

Persistent link: https://www.econbiz.de/10011392904

Commodity value-at-risk modeling : comparing riskmetrics, historic simulation and quantile regression

Steen, Marie; Westgaard, Sjur; Gjølberg, Ole - In: The journal of risk model validation 9 (2015) 2, pp. 49-78

Persistent link: https://www.econbiz.de/10011326305

Volatility modeling of the JSE all share index and risk estimation using the Bayesian and frequentist approaches

Sigauke, Casto - In: Economics, management and financial markets 11 (2016) 4, pp. 33-48

Persistent link: https://www.econbiz.de/10011868092

Comparison of semi-parametric and benchmark value-at-risk models in several time periods with different volatility levels

Buczyński, Mateusz; Chlebus, Marcin - In: E-Finanse : finansowy kwartalnik internetowy 14 (2018) 2, pp. 67-82

In the literature, there is no consensus as to which Value-at-Risk forecasting model is the best for measuring market risk in banks. In the study an analysis of Value-at-Risk forecasting model quality over varying economic stability periods for main indices from stock exchanges was conducted....

Persistent link: https://www.econbiz.de/10011967246

The role of trading volume in forecasting market risk

Slim, Skander - In: Inventi impact: international trade (2016) 3, pp. 169-181

Persistent link: https://www.econbiz.de/10011567980

Volatility vs. downside risk : optimally protecting against drawdowns and maintaining portfolio performance

Barro, Diana; Canestrelli, Elio; Lanza, Fabio - 2014

Persistent link: https://www.econbiz.de/10011632160

Alternative currency hedging strategies with known covariances

Chen, Wei; Kritzman, Mark; Turkington, David - In: Journal of investment management : JOIM 13 (2015) 2, pp. 6-24

Persistent link: https://www.econbiz.de/10011635273