Nonparametric Estimation of the Leverage Effect: A Trade-Off Between Robustness and Efficiency

被引:33
|
作者
Kalnina, Ilze [1 ]
Xiu, Dacheng [2 ]
机构
[1] Univ Montreal, Dept Econ, Montreal, PQ H3C 3J7, Canada
[2] Univ Chicago, Booth Sch Business, Chicago, IL 60637 USA
关键词
Derivatives; High-frequency data; Implied volatility; Spot correlation; VIX; STOCHASTIC VOLATILITY MODELS; RISK PREMIA; SPECIFICATION; RETURNS; TESTS; JUMPS; SPOT;
D O I
10.1080/01621459.2016.1141687
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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 Chicago Board Options Exchange (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 are 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 an empirical application, in which we study the relationship between the leverage effect and the debt-to-equity ratio, credit risk, and illiquidity. Supplementary materials for this article are available online.
引用
收藏
页码:384 / 396
页数:13
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