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Testing asymmetry in financial time series

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  • Francesco Lisi

Abstract

This paper examines the problem of evaluating the presence of asymmetry in the marginal distribution of financial returns by means of a suitable statistical test. After a brief description of existing tests, a bootstrap procedure is proposed. A Monte Carlo study showed that this test works properly and that, in terms of power, it is competitive with existing tests. An application to real financial time series is also presented.

Suggested Citation

  • Francesco Lisi, 2007. "Testing asymmetry in financial time series," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 687-696.
    • Handle: RePEc:taf:quantf:v:7:y:2007:i:6:p:687-696
    DOI: 10.1080/14697680701283739
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    References listed on IDEAS

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    Cited by:

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    2. So, Mike K.P. & Chan, Raymond K.S., 2014. "Bayesian analysis of tail asymmetry based on a threshold extreme value model," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 568-587.
    3. Kai Yang & Qingqing Zhang & Xinyang Yu & Xiaogang Dong, 2023. "Bayesian inference for a mixture double autoregressive model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(2), pages 188-207, May.
    4. Riccardo Borgoni & Piero Quatto & Giorgio Somà & Daniela Bartolo, 2010. "A geostatistical approach to define guidelines for radon prone area identification," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 255-276, June.
    5. Pelagatti Matteo M, 2009. "Modelling Good and Bad Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-20, March.
    6. Matteo Grigoletto & Francesco Lisi, 2011. "Practical implications of higher moments in risk management," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 487-506, November.
    7. Valencia, Marisol & Bedoya, Alejandro, 2013. "Prueba de sesgo sobre rendimientos financieros en el mercado colombiano," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 80, pages 79-102, November.
    8. Pelagatti Matteo M, 2009. "Modelling Good and Bad Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-20, March.
    9. Hasan F. Baklaci & Ömür Süer & Tezer Yelkenci̇, 2018. "Price Linkages Among Emerging Gold Futures Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(05), pages 1345-1365, December.

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