Article by: Alberto Cherubini, Trevor Samols
Published by: Automated Trader Magazine, Issue 40
Date: Q3 2016
“Listed futures on VIX and its cousins give exposure to implied variance. But getting exposure to realised variance is very different and usually has been the realm of OTC variance swaps. Here we examine strategies to trade the realised variance using only listed instruments, with simple time-independent formulas not requiring models such as Black-Scholes.”
Full article: Link
Article by: Pierre Blanc, Remy Chicheportiche, Jean-Philippe Bouchaud
Date: 21 May 2014
“We decompose, within an ARCH framework, the daily volatility of stocks into overnight and intraday contributions. We find, as perhaps expected, that the overnight and intraday returns behave completely differently. For example, while past intra-day returns affect equally the future intraday and overnight volatilities, past overnight returns have a weak effect on future intra-day volatilities (except for the very next one) but impact substantially future overnight volatilities. The exogenous component of overnight volatilities is found to be close to zero, which means that the lion’s share of overnight volatility comes from feedback effects. The residual kurtosis of returns is small for intraday returns but infinite for overnight returns. We provide a plausible interpretation for these findings, and show that our Intraday/Overnight model significantly outperforms the standard ARCH framework based on daily returns for Out-of-Sample predictions.”
Full article (PDF): Link
Article by: Euan Sinclair, Saarthak Gupta
Published by: Social Science Research Network
Date: 2 Apr 2015
“Uncertainty is generally avoided when investing. Volatility is a popular proxy for investment uncertainty, and indeed low volatility stocks outperform high volatility stocks. However, there are also many other possible measures of uncertainty, among which are entropy and the Hurst exponent. Here we show that these measures also predict groups of stocks that outperform.”
Full article: Link
Article by: Kenneth R. French, Richard Roll
Published by: Journal of Financial Economics
Date: 1986
“Asset prices are much more volatile during exchange trading hours than during non-trading hours. This paper considers three explanations for this phenomenon: (1) volatility is caused by public information which is more likely to arrive during normal business hours; (2) volatility is caused by private information which affects prices when informed investors trade; and (3) volatility is caused by pricing errors that occur during trading. Although a significant fraction of the daily variance is caused by mispricing, the behavior of returns around exchange holidays suggests that private information is the principle factor behind high trading-time variances.”
Full article (Requires subscription or purchase): Link