2015
DOI: 10.1002/fut.21715
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The Impact of Sampling Frequency on Intraday Correlation and Lead–Lag Relationships Between Index Futures and Individual Stocks

Abstract: Transaction costs, liquidity effects, capital limits, and regulatory restrictions reduce arbitrage efficiency and weaken the link between futures prices and their underlying stocks. This study examines how the sampling frequency for return calculation affects the intraday correlation and the lead–lag relationship between the Hong Kong Hang Seng Index futures, the underlying cash index, an exchange‐traded fund (ETF) that mimics the index, and each component stock. The paper uses firm bid and offer quotes to eli… Show more

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Cited by 8 publications
(7 citation statements)
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“…This approach is consistent with the work of Fung, Lau, and Tse (2015) who take the sum of the squares of partial correlation coefficients in order to determine the numerator and denominator in (2). If R 2 Y;XÀl > R 2 X;YÀl or, equivalently, LLR > 1, the returns of X lead those of Y.…”
Section: Intraday Return Analysis Test Methodologysupporting
confidence: 74%
See 1 more Smart Citation
“…This approach is consistent with the work of Fung, Lau, and Tse (2015) who take the sum of the squares of partial correlation coefficients in order to determine the numerator and denominator in (2). If R 2 Y;XÀl > R 2 X;YÀl or, equivalently, LLR > 1, the returns of X lead those of Y.…”
Section: Intraday Return Analysis Test Methodologysupporting
confidence: 74%
“…We dub this the "R 2 criterion." This approach is consistent with the work of Fung, Lau, and Tse (2015) who take the sum of the squares of partial correlation coefficients in order to determine the numerator and denominator in (2). We estimate the population R 2 of the projection of Y on lagged X using the general case…”
Section: Intraday Return Analysis Test Methodologysupporting
confidence: 74%
“…Oehmke (2009) develops a model to show that the stock prices of the illiquid segment of the cash index will subsequently align with the index or index futures level, suggesting that arbitrage is slower in more illiquid markets. The recent empirical analysis of Fung, Lau, and Tse (2015) supports the theoretical result for RV in Hong Kong Hang Seng Index futures. As illiquid markets reduce arbitrage efficiency and weaken the link between futures prices and their underlying stocks, our approach may not work satisfactorily in this situation.…”
supporting
confidence: 67%
“…A popular measure of whether one variable leads or lags another is the lead/lag ratio (LLR) which involves taking the sum of squared correlations across all positive lags divided by the sum of squared correlations across all negative lags (Huth and Abergel, 2014;Fung et al, 2015). Hoffmann et al (2013) use the contrast function defined by covariances to reach similar conclusions relating to lead/lag relations.…”
Section: Introductionmentioning
confidence: 99%