2018
DOI: 10.1080/14697688.2017.1414484
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Ultra-high-frequency lead–lag relationship and information arrival

Abstract: To our knowledge, this paper is the first study on the effect of information arrival on the leadlag relationship among related spot instruments. Based on a large dataset of ultra-highfrequency transaction prices time-stamped to the millisecond of the S&P500 index and its two most liquid tracking ETFs, we find that their lead-lag relationship is affected by the rate of information arrival whose proxy is the unexpected trading volume of these instruments. Specifically, when information arrives, the leadership of… Show more

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Cited by 10 publications
(2 citation statements)
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“…However, it should be further noticed that the price series have not only synchronous relationships but also asynchronous relationships in real-time stock markets. For example, there is a lead-lag effect on the stock market, which means that stock prices of some firms show a delayed or ahead temporal evolution pattern to other firms' stock prices [27][28][29][30]. Since a possible delay between the stocks could be accounted in the time series, we consider the following case in Figure 2(b): supposing two time series ξ(t) and η(t) in the stock market, we calculate the detrended correlations of each segment i in ξ(t) and η(t), but in some cases, the segment i of ξ(t) may have a relationship with segment j of η(t) in some cases.…”
Section: Time-migrated Dcca Cross-correlation Coefficientmentioning
confidence: 99%
“…However, it should be further noticed that the price series have not only synchronous relationships but also asynchronous relationships in real-time stock markets. For example, there is a lead-lag effect on the stock market, which means that stock prices of some firms show a delayed or ahead temporal evolution pattern to other firms' stock prices [27][28][29][30]. Since a possible delay between the stocks could be accounted in the time series, we consider the following case in Figure 2(b): supposing two time series ξ(t) and η(t) in the stock market, we calculate the detrended correlations of each segment i in ξ(t) and η(t), but in some cases, the segment i of ξ(t) may have a relationship with segment j of η(t) in some cases.…”
Section: Time-migrated Dcca Cross-correlation Coefficientmentioning
confidence: 99%
“…Lead and lag relationships have been investigated in biological, computational, and social sciences (e.g., [28,29]). Since we intended to identify functional and cognitive measures changing early in short-term, marked disease progression and leadlag analyses methodologically required a sufficient dynamic of change to ensure the significance of the results, patients with a deterioration of CDR-SOB ≥2 within 24 months were identified for analyses.…”
Section: Definition Of Collectivementioning
confidence: 99%