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Stock market volatility forecasting : do we need high-frequency data?

Lyócsa, Štefan; Molnár, Peter; Výrost, Tomáš - In: International journal of forecasting 37 (2021) 3, pp. 1092-1110

Persistent link: https://www.econbiz.de/10012794812

The realized empirical distribution function of stochastic variance with application to goodness-of-fit testing

Christensen, Kim; Thyrsgaard, Martin; Veliyev, Bezirgen - In: Journal of econometrics 212 (2019) 2, pp. 556-583

Persistent link: https://www.econbiz.de/10012304092

Is the diurnal pattern sufficient to explain intraday variation in volatility? : a nonparametric assessment

Christensen, Kim; Hounyo, Ulrich; Podolskij, Mark - In: Journal of econometrics 205 (2018) 2, pp. 336-362

Persistent link: https://www.econbiz.de/10012110287

Copula-based vMEM specifications versus alternatives: The case of trading activity

Cipollini, Fabrizio; Engle, Robert F.; Gallo, Giampiero M. - In: Econometrics 5 (2017) 2, pp. 1-24

We discuss several multivariate extensions of the Multiplicative Error Model to take into account dynamic interdependence and contemporaneously correlated innovations (vector MEM or vMEM). We suggest copula functions to link Gamma marginals of the innovations, in a specification where past...

Persistent link: https://www.econbiz.de/10011755372