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Volatility estimation and forecasts based on price durations
Hong, Seok Young; Nolte, Ingmar; Taylor, Stephen; Zhao, … - In: Journal of financial econometrics 21 (2023) 1, pp. 106-144
Persistent link: https://www.econbiz.de/10013542852
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Volatility measurement with pockets of extreme return persistence
Andersen, Torben; Li, Yingying; Todorov, Viktor; Zhou, Bo - In: Journal of econometrics 237 (2023) 2,3, pp. 1-27
Persistent link: https://www.econbiz.de/10014471793
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Realized volatility forecasting in the presence of time-varying noise
Bandi, Federico M.; Russell, Jeffrey R.; Yang, Chen - In: Journal of business & economic statistics : JBES ; a … 31 (2013) 3, pp. 331-345
Persistent link: https://www.econbiz.de/10009785979
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A generalized heterogeneous autoregressive model using market information
Hizmeri, Rodrigo; Izzeldin, Marwan; Nolte, Ingmar; … - In: Quantitative finance 22 (2022) 8, pp. 1513-1534
Persistent link: https://www.econbiz.de/10013367925
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Forecasting volatility with the realized range in the presence of noise and non-trading
Bannouh, Karim; Martens, Martin; Dijk, Dick van - In: The North American journal of economics and finance : a … 26 (2013), pp. 535-551
Persistent link: https://www.econbiz.de/10010370495
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The relationship between the volatility of returns and the number of jumps in financial markets
Cartea, Álvaro; Karyampas, Dimitrios - In: Econometric reviews 35 (2016) 5/7, pp. 929-950
Persistent link: https://www.econbiz.de/10011590735
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Weighted least squares realized covariation estimation
Li, Yifan; Nolte, Ingmar; Vasios, Michalis; Voev, Valeri; … - In: Journal of banking & finance 137 (2022), pp. 1-21
Persistent link: https://www.econbiz.de/10013460187
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Realized semicovariances : looking for signs of direction inside the covariance matrix
Bollerslev, Tim; Patton, Andrew J.; Quaedvlieg, Rogier - 2017 - This version: September 5, 2017
components and the mixed-sign component load differently on economic information concerning stochastic correlation and jumps. The …
Persistent link: https://www.econbiz.de/10012116691
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Realized variances vs. correlations : unlocking the gains in multivariate volatility forecasting
Capera Romero, Laura; Opschoor, Anne - 2024
volatility forecasting into two pillars: the realized variances and realized correlations and quantifies the corresponding …% and at least 78%). The results on the GMV portfolios show that realized covariance models exhibit lower ex-post volatility …
Persistent link: https://www.econbiz.de/10015064180
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Forecasting stock return volatility : realized volatility-type or duration-based estimators
Fei, Tianlun; Liu, Xiaoquan; Wen, Conghua - In: Journal of forecasting 42 (2023) 7, pp. 1594-1621
Persistent link: https://www.econbiz.de/10014432725