Comparison of range-based volatility estimators against integrated volatility in European emerging markets
被引:6
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作者:
Arneric, Josip
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机构:
Univ Zagreb, Fac Econ & Business Zagreb, Trg JF Kennedyja 6, Zagreb, CroatiaUniv Zagreb, Fac Econ & Business Zagreb, Trg JF Kennedyja 6, Zagreb, Croatia
Arneric, Josip
[1
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Matkovic, Mario
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机构:
Rabobank Nederland, Graadt Roggenweg 400, NL-3531AH Utrecht, NetherlandsUniv Zagreb, Fac Econ & Business Zagreb, Trg JF Kennedyja 6, Zagreb, Croatia
Matkovic, Mario
[2
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Soric, Petar
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Univ Zagreb, Fac Econ & Business Zagreb, Trg JF Kennedyja 6, Zagreb, CroatiaUniv Zagreb, Fac Econ & Business Zagreb, Trg JF Kennedyja 6, Zagreb, Croatia
Soric, Petar
[1
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机构:
[1] Univ Zagreb, Fac Econ & Business Zagreb, Trg JF Kennedyja 6, Zagreb, Croatia
This paper explores the effectiveness of eight range-based volatility estimators for seven European emerging markets. It offers added value by: (i) finding a consistent and asymptotically unbiased estimator of integrated volatility for emerging markets, (ii) employing the upper tail dependence for comparison purposes, in addition to standard loss functions, and (iii) recommending the appropriate ex-post volatility measure in the lack of high-frequency data. When no strong preference for a specific estimator is found, the upper tail dependence measure is consulted, confirming the MSE-based ranking for Czech Republic, Greece, Poland, and Romania; and the QLIKE-based ranking for Bulgaria, Croatia, and Hungary.
机构:
Hunan Normal Univ, Sch Business, Changsha 410081, Hunan, Peoples R China
Cornell Univ, Dept Econ, Ithaca, NY 14853 USAHunan Normal Univ, Sch Business, Changsha 410081, Hunan, Peoples R China
Li, Hongquan
Hong, Yongmiao
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机构:
Cornell Univ, Dept Econ, Ithaca, NY 14853 USA
Xiamen Univ, Wang Yanan Inst Studies Econ, Xiamen 361005, Fujian, Peoples R China
Xiamen Univ, MOE Key Lab Econometr, Xiamen 361005, Fujian, Peoples R ChinaHunan Normal Univ, Sch Business, Changsha 410081, Hunan, Peoples R China