Paper
15 June 2007 Volatility and serial correlation: revisiting the LeBaron effect
Author Affiliations +
Proceedings Volume 6601, Noise and Stochastics in Complex Systems and Finance; 66010Y (2007) https://doi.org/10.1117/12.724714
Event: SPIE Fourth International Symposium on Fluctuations and Noise, 2007, Florence, Italy
Abstract
According to the LeBaron effect, serial correlation is low when volatility is high and vice-versa. We show that it is true only for the predictable part of the volatility, while volatility which cannot be forecasted is positively linked to serial correlation. Since the mechanism of price formation can be very different in small and large markets we investigate the effect of volatility on intraday serial correlation in Italy (a small market) and U.S. (a large market). We find substantial differences in the impact of volatility in the two markets.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Simone Bianco and Roberto Renò "Volatility and serial correlation: revisiting the LeBaron effect", Proc. SPIE 6601, Noise and Stochastics in Complex Systems and Finance, 66010Y (15 June 2007); https://doi.org/10.1117/12.724714
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KEYWORDS
Data modeling

Autoregressive models

Liquids

Monte Carlo methods

Complex systems

Statistical modeling

Stochastic processes

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