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Forecasting stock volatility using after-hour information : evidence from the Australian Stock Exchange
Jayawardena, Nirodha I.; Todorova, Neda; Li, Bin; Su, Jen-je - In: Economic modelling 52 (2016), pp. 592-608
Persistent link: https://www.econbiz.de/10011642932
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Trading and non-trading period realized market volatility : does it matter for forecasting the volatility of US stocks?
Lyócsa, Štefan; Todorova, Neda - In: International journal of forecasting 36 (2020) 2, pp. 628-645
Persistent link: https://www.econbiz.de/10012415313
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An empirical evaluation in GARCH volatility modeling : evidence from the Stockholm stock exchange
Dritsaki, Chaido - In: Journal of mathematical finance 7 (2017) 2, pp. 366-390
Persistent link: https://www.econbiz.de/10011673942
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Asymmetric risk and return : evidence from the Australian Stock Exchange
Vo, Minh T.; Cohen, Michael; Boulter, Terry - In: Pacific-Basin finance journal 35 (2015) 2, pp. 558-573
Persistent link: https://www.econbiz.de/10011543740
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The impact of macroeconomic factors on the US Stock Exchange
Süslü, Cemil - In: International journal of sustainable economies … 11 (2022) 1, pp. 1-22
Persistent link: https://www.econbiz.de/10014290717
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Testing of consistent trends in stock performance in the Nairobi securities exchange
Ndegwa, James N.; Kiweu, Josephat Mboya - In: DBA Africa management review 5 (2015) 2, pp. 212-221
Persistent link: https://www.econbiz.de/10012250738
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Range-based volatility estimation and forecasting
Benčík, Daniel - 2014
prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … a vector error-correction model of daily highs and lows. Contrary to intuition, models based on co-integration of daily …
Persistent link: https://www.econbiz.de/10010461231
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Financial time series: methods and models
Caporin, Massimiliano; Storti, Giuseppe - In: Journal of risk and financial management : JRFM 13 (2020) 5/86, pp. 1-3
The statistical analysis of financial time series is a rich and diversified research field whose inherent complexity requires an interdisciplinary approach, gathering together several disciplines, such as statistics, economics, and computational sciences. This special issue of the Journal of...
Persistent link: https://www.econbiz.de/10012304649
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Estimation of asymmetric stochastic volatility models for stock-exchange index returns
Del Carmen García Centeno, María; Minguez Salido, Román - In: International advances in economic research : IAER ; an … 15 (2009) 1, pp. 71-87
Persistent link: https://www.econbiz.de/10003813391
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Fractional integration and asymmetric volatility in European, American and Asian bull and bear markets : application to high-frequency stock data
Yaya, OlaOluwa S.; Gil-Alaña, Luis A.; Shittu, … - In: International journal of finance & economics : IJFE 20 (2015) 3, pp. 276-290
Persistent link: https://www.econbiz.de/10011348408