Nonparametric Estimation of the Leverage Effect: A Trade-off between Robustness and Efficiency
Ilze Kalnina and
Dacheng Xiu ()
Cahiers de recherche from Centre interuniversitaire de recherche en Ã©conomie quantitative, CIREQ
We consider two new approaches to nonparametric estimation of the leverage effect. The first approach uses stock prices alone. The second approach uses the data on stock prices as well as a certain volatility instrument, such as the CBOE volatility index (VIX) or the Black-Scholes implied volatility. The theoretical justification for the instrument-based estimator relies on a certain invariance property, which can be exploited when high frequency data is available. The price-only estimator is more robust since it is valid under weaker assumptions. However, in the presence of a valid volatility instrument, the price-only estimator is inefficient as the instrument-based estimator has a faster rate of convergence. We consider two empirical applications, in which we study the relationship between the leverage effect and the debt-to-equity ratio, credit risk, and illiquidity.
Keywords: derivatives; VIX; implied volatility; high frequency data; spot correlation (search for similar items in EconPapers)
JEL-codes: C14 C22 G12 (search for similar items in EconPapers)
Pages: 62 pages
New Economics Papers: this item is included in nep-ecm
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Journal Article: Nonparametric Estimation of the Leverage Effect: A Trade-Off Between Robustness and Efficiency (2017)
Working Paper: Nonparametric estimation of the leverage effect: a trade-off between robustness and efficiency (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:mtl:montec:09-2015
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