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Forecasting S&P 500 volatility : long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements

Martens, Martin; Dijk, Dick van; Pooter, Michiel de - In: International journal of forecasting 25 (2009) 2, pp. 282-303

Persistent link: https://www.econbiz.de/10003870055

Modelling the dynamics of stock market in the Gulf Cooperation Council countries : evidence on persistence to shocks

Boubaker, Heni; Saidane, Bassem; Zorgati, Mouna Ben Saad - In: Financial innovation : FIN 8 (2022), pp. 1-22

conditional volatility and strongly support the estimation of dynamic returns that allow for time-varying correlations. A …This study examines the statistical properties required to model the dynamics of both the returns and volatility series … adequately estimate long-memory dynamics in returns and volatility. The in-sample diagnostic tests as well as out …

Persistent link: https://www.econbiz.de/10013272684

Seasonalities in the German stock market

Hofmann, Daniel; Keiber, Karl Ludwig - In: Financial markets and portfolio management 35 (2021) 2, pp. 151-192

Persistent link: https://www.econbiz.de/10012588317

Predictive ability of low-frequency volatility measures : evidence from the Hong Kong stock markets

Gan, Christopher; Nartea, Gilbert V.; Wu, Ji - In: Finance research letters 26 (2018), pp. 40-46

Persistent link: https://www.econbiz.de/10012005426

The asymmetric volatility spillover across Shanghai, Hong Kong and the U.S. stock markets : a regime weighted measure and its forecast inference

Sheng, Lin Wen; Uddin, Mohammed Gazi Salah; Sen, Ding; … - In: International review of financial analysis 91 (2024), pp. 1-14

Persistent link: https://www.econbiz.de/10014446963

Modeling price dynamics and risk forecasting in Tehran stock exchange : conditional variance heteroscedasticity hidden Markov models

Nilchi, Moslem; Farid, Daryush; Peymany, Moslem; … - In: Iranian journal of finance 7 (2023) 3, pp. 1-24

Persistent link: https://www.econbiz.de/10014429053

Long run returns predictability and volatility with moving averages

Chang, Chia-Lin; Ilomäki, Jukka; Laurila, Hannu; … - In: Risks : open access journal 6 (2018) 4, pp. 1-18

This paper examines how the size of the rolling window, and the frequency used in moving average (MA) trading strategies, affects financial performance when risk is measured. We use the MA rule for market timing, that is, for when to buy stocks and when to shift to the risk-free rate. The...

Persistent link: https://www.econbiz.de/10011906234

Improving volatility forecasts with GED-GARCH model: evidence from U.S. stock market

Giacalone, Massimiliano; Mattera, Raffaele; Cozzucoli, … - In: The empirical economics letters : a monthly … 18 (2019) 7, pp. 785-791

Persistent link: https://www.econbiz.de/10012315480

Long run volatility forecasting for individual stocks in a one factor model

Engle, Robert F.; Lee, Gary G. J. - 1993

Persistent link: https://www.econbiz.de/10000877958

Stock market volatility: Identifying major drivers and the nature of their impact

Mittnik, Stefan; Robinzonov, Nikolay; Spindler, Martin - In: Journal of banking & finance 58 (2015), pp. 1-14

Persistent link: https://www.econbiz.de/10011543844

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