Abstract:Based on high-frequency firm-level data, this paper uncovers new empirical patterns on intraday momentum in China. First, there exists a strong intraday momentum effect at the firm level. Second, the intraday predictability stems mainly from the overnight component rather than the opening half-hour component, which is consistent with the microstructure features of the Chinese market. Third, the intraday predictability attenuates (strengthens) following large positive (negative) informational shocks, implying a… Show more
“…As such, p i,t denotes the ith half-hour price on day t. As p 0,t , we use the previous trading day's closing price, which is at 16:00 for USO. This is consistent with many other intraday momentum studies (see, e.g., Gao et al, 2018Gao et al, , 2019Wen et al, 2020). As a result, the first half-hour return, r 1,t , is calculated as the (log) difference between the price at 10:00 and the closing price at 16:00 the previous trading day.…”
Section: United States Oil Fund and Intraday Returnssupporting
confidence: 93%
“…Second, we show that the predicting source of the first half-hour returns on non-EIA days comes from the overnight component, the return between the price at market open and the previous day's price at market close. This finding adds to the understanding of the role of overnight returns in intraday momentum, which is the main source of prediction in a normal mar-ket state (e.g., Gao et al, 2019) but not in particular contexts, such as during EIA announcements. Third, we explore the theoretical mechanisms in the different predictive sources in third half-hour returns by connecting them to informed trading and liquidity provision, respectively.…”
We study the impact of the announcements released by the US Energy Information Administration (EIA) on crude oil storage every Wednesday at 10:30 ET (the beginning of the third half-hour interval) on intraday return predictability, that is, intraday momentum. Our results indicate that returns on the third half-hour on EIA announcement days can significantly and positively predict the returns in the last half-hour, whereas, on non-EIA announcement days, only returns in the first half-hour have significant predictability. The dominant source of prediction in the first half-hour return mainly comes from the overnight component. EIA announcements contribute to intraday momentum because they attract more informed traders and because the period surrounding their release is often associated with a reduction in liquidity. Substantial economic gains can be made by using efficient intraday predictors as trading signals.
“…As such, p i,t denotes the ith half-hour price on day t. As p 0,t , we use the previous trading day's closing price, which is at 16:00 for USO. This is consistent with many other intraday momentum studies (see, e.g., Gao et al, 2018Gao et al, , 2019Wen et al, 2020). As a result, the first half-hour return, r 1,t , is calculated as the (log) difference between the price at 10:00 and the closing price at 16:00 the previous trading day.…”
Section: United States Oil Fund and Intraday Returnssupporting
confidence: 93%
“…Second, we show that the predicting source of the first half-hour returns on non-EIA days comes from the overnight component, the return between the price at market open and the previous day's price at market close. This finding adds to the understanding of the role of overnight returns in intraday momentum, which is the main source of prediction in a normal mar-ket state (e.g., Gao et al, 2019) but not in particular contexts, such as during EIA announcements. Third, we explore the theoretical mechanisms in the different predictive sources in third half-hour returns by connecting them to informed trading and liquidity provision, respectively.…”
We study the impact of the announcements released by the US Energy Information Administration (EIA) on crude oil storage every Wednesday at 10:30 ET (the beginning of the third half-hour interval) on intraday return predictability, that is, intraday momentum. Our results indicate that returns on the third half-hour on EIA announcement days can significantly and positively predict the returns in the last half-hour, whereas, on non-EIA announcement days, only returns in the first half-hour have significant predictability. The dominant source of prediction in the first half-hour return mainly comes from the overnight component. EIA announcements contribute to intraday momentum because they attract more informed traders and because the period surrounding their release is often associated with a reduction in liquidity. Substantial economic gains can be made by using efficient intraday predictors as trading signals.
“…The use of half‐hour returns is in line with earlier studies on intraday time‐series momentum in financial markets (Gao et al, ; Gao, Xing, Youwei, & Xiong, , Komarov, ; Sun et al, ). However, can intraday time‐series momentum also be observed at other time frequencies?…”
This study conducts an investigation of intraday time‐series momentum across four Chinese commodity futures contracts: copper, steel, soybean, and soybean meal. Our results indicate that the first half‐hour return positively predicts the last half‐hour return across all four futures. Furthermore, in metals markets, we find that first trading sessions with high volume or volatility are associated with the strongest intraday time‐series momentum dynamics. Based on this, we propose an intraday momentum informed trading strategy that earns a return in excess of standard always long and buy‐and‐hold benchmarks.
“…The use of half-hour returns is in line with earlier studies on intraday time-series momentum in financial markets (Gao et al, 2018;Gao et al, 2019, Sun et al, 2016Komarov, 2017).…”
This study conducts an investigation of intraday time-series momentum across four Chinese commodity futures contracts: copper, steel, soybean, and soybean meal. Our results indicate that the first half-hour return positively predicts the last half-hour return across all four futures. Furthermore, in metals markets, we find that first trading sessions with high volume or volatility are associated with the strongest intraday time-series momentum dynamics. Based on this, we propose an intraday momentum informed trading strategy that earns a return in excess of standard always long and buy-and-hold benchmarks.
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