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On idiosyncratic stochasticity of financial leverage effects

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  • Carles Bret\'o
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    Abstract

    We model leverage as stochastic but independent of return shocks and of volatility and perform likelihood-based inference via the recently developed iterated filtering algorithm using S&P500 data, contributing new evidence to the still slim empirical support for random leverage variation.

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    File URL: http://arxiv.org/pdf/1312.5496
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    Bibliographic Info

    Paper provided by arXiv.org in its series Papers with number 1312.5496.

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    Date of creation: Dec 2013
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    Publication status: Published in Statistics & Probability Letters 91 (2014) 20-26
    Handle: RePEc:arx:papers:1312.5496

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    Web page: http://arxiv.org/

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    1. Jun Yu, 2004. "On leverage in a stochastic volatility model," Econometric Society 2004 Far Eastern Meetings 497, Econometric Society.
    2. Jun Yu, 2008. "A Semiparametric Stochastic Volatility Model," Working Papers CoFie-04-2008, Sim Kee Boon Institute for Financial Economics.
    3. Harvey, Andrew C & Shephard, Neil, 1996. "Estimation of an Asymmetric Stochastic Volatility Model for Asset Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 429-34, October.
    4. Asai, M. & McAleer, M.J., 2010. "Alternative Asymmetric Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-69, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Ulrich K. Müller & Philippe-Emmanuel. Petalas, 2010. "Efficient Estimation of the Parameter Path in Unstable Time Series Models," Review of Economic Studies, Oxford University Press, vol. 77(4), pages 1508-1539.
    6. Liesenfeld, Roman & Richard, Jean-Francois, 2003. "Univariate and multivariate stochastic volatility models: estimation and diagnostics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 505-531, September.
    7. Christophe Andrieu & Arnaud Doucet & Roman Holenstein, 2010. "Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 269-342.
    8. Almut E. D. Veraart & Luitgard A. M. Veraart, 2009. "Stochastic volatility and stochastic leverage," CREATES Research Papers 2009-20, School of Economics and Management, University of Aarhus.
    9. Yu-Sheng Lai & Her-Jiun Sheu, 2011. "On the importance of asymmetries for dynamic hedging during the subprime crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 21(11), pages 801-813.
    10. Borus Jungbacker & Siem Jan Koopman, 2007. "Monte Carlo Estimation for Nonlinear Non-Gaussian State Space Models," Biometrika, Biometrika Trust, vol. 94(4), pages 827-839.
    11. Durbin, James & Koopman, Siem Jan, 2001. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, number 9780198523543, September.
    12. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
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