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Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? : a multi-scale perspective
Ftiti, Zied; Hadhri, Sinda - In: Pacific-Basin finance journal 53 (2019), pp. 40-55
Persistent link: https://www.econbiz.de/10012133290
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High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets
Mensi, Walid; Sensoy, Ahmet; Aslan, Aylin; Kang, Sang Hoon - In: The North American journal of economics and finance : a … 50 (2019), pp. 1-16
Persistent link: https://www.econbiz.de/10012203700
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The information content of realized volatility of sector indices in China’s stock market
Lin, Tiantian; Liu, Dehong; Zhang, Lili; Lung, Peter P. - In: International review of economics & finance : IREF 64 (2019), pp. 625-640
Persistent link: https://www.econbiz.de/10012372895
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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
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Spot variance path estimation and its application to high frequency jump testing
Bos, Charles S.; Janus, Paweł; Koopman, Siem Jan - 2009
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
Persistent link: https://www.econbiz.de/10011379469
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Bitcoin at high frequency
Catania, Leopoldo; Sandholdt, Mads - In: Journal of risk and financial management : JRFM 12 (2019) 1/36, pp. 1-20
-daily seasonality pattern, and an abnormal trade- and volatility intensity at Thursdays and Fridays. We find no predictability for … Bitcoin returns is also found to be time-varying. We also study the behaviour of the realized volatility of Bitcoin. We … document a remarkable high percentage of jumps above 80% . We also find that realized volatility exhibits: (i) long memory; (ii …
Persistent link: https://www.econbiz.de/10012022322
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Point and density prediction of intra-day volume using Bayesian linear ACV models : evidence from the Polish stock market
Huptas, Roman - In: Quantitative finance 18 (2018) 5, pp. 749-760
Persistent link: https://www.econbiz.de/10011907915
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Evaluating factor pricing models using high-frequency panels
Chang, Yoosoon; Choi, Yongok; Kim, Hwagyun; Park, Joon Y. - In: Quantitative economics : QE ; journal of the … 7 (2016) 3, pp. 889-933
Persistent link: https://www.econbiz.de/10011793568
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A marked point process model for intraday financial returns : modeling extreme risk
Herrera, Rodrigo; Clements, Adam - In: Empirical economics : a journal of the Institute for … 58 (2020) 4, pp. 1575-1601
Persistent link: https://www.econbiz.de/10012219662
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Evaluating factor pricing models using high-frequency panels
Chang, Yoosoon; Choi, Yongok; Kim, Hwagyun; Park, Joon Y. - In: Quantitative economics : QE ; journal of the … 7 (2016) 3, pp. 889-933
samples collected at random intervals, which are set by the clock running inversely proportional to the market volatility. Our …
Persistent link: https://www.econbiz.de/10011800879