First-order autocorrelation coefficients of (1) daily equally-weighted open-to-open returns, (2) daily equally-weighted intraday-to-intraday returns (terminating at each of 23 successive 15-minute intervals of the trading day beginning at 10:15 a.m.), and (3) daily equally-weighted and value-weighted close-to-close returns (interval 24) are examined. A number of findings concerning the behavior of these autocorrelations are reported. First-order autocorrelation is shown to follow a crude U-shaped pattern when plotted against the time of the trading day. But there is no significant difference in the behavior of autocorrelations based on open-to-open returns and 24-hour returns terminating at 10:15 a.m. Evidence that intraday patterns in auto...
We decompose stock return autocorrelation into spurious components—the nonsynchronous trading effect...
Using a reduced rank regression framework as well as information criteria, we investigate the presen...
Using a reduced rank regression framework as well as information criteria, we investigate the presen...
We discover three significant periodicities in the autocorrelation of intraday stock returns. We dem...
In this paper, differences in return autocorrelation across weekdays have been investigated. Our res...
In this paper, differences in return autocorrelation across weekdays have been investigated. Our res...
This paper investiga tes the extent to which nonsynchronous security trading explains observed autoc...
We investigate whether return volatility, trading volume, return asymmetry, business cycles, and day...
We investigate whether return volatility, trading volume, return asymmetry, business cycles, and day...
In this paper we propose a new approach to a well-known phenomena of intra-day activity pattern on t...
The use of close-to-close returns underestimates returns correlation because international stock mar...
Using a reduced rank regression framework as well as information criteria, we investigate the presen...
There is overwhelming evidence of the presence of autocorrelation in stock returns in many previous ...
We investigate the two components of the total daily return (close-to-close), the overnight return (...
We point out a stunning time asymmetry in the short-time cross-correlations between intra-day and ov...
We decompose stock return autocorrelation into spurious components—the nonsynchronous trading effect...
Using a reduced rank regression framework as well as information criteria, we investigate the presen...
Using a reduced rank regression framework as well as information criteria, we investigate the presen...
We discover three significant periodicities in the autocorrelation of intraday stock returns. We dem...
In this paper, differences in return autocorrelation across weekdays have been investigated. Our res...
In this paper, differences in return autocorrelation across weekdays have been investigated. Our res...
This paper investiga tes the extent to which nonsynchronous security trading explains observed autoc...
We investigate whether return volatility, trading volume, return asymmetry, business cycles, and day...
We investigate whether return volatility, trading volume, return asymmetry, business cycles, and day...
In this paper we propose a new approach to a well-known phenomena of intra-day activity pattern on t...
The use of close-to-close returns underestimates returns correlation because international stock mar...
Using a reduced rank regression framework as well as information criteria, we investigate the presen...
There is overwhelming evidence of the presence of autocorrelation in stock returns in many previous ...
We investigate the two components of the total daily return (close-to-close), the overnight return (...
We point out a stunning time asymmetry in the short-time cross-correlations between intra-day and ov...
We decompose stock return autocorrelation into spurious components—the nonsynchronous trading effect...
Using a reduced rank regression framework as well as information criteria, we investigate the presen...
Using a reduced rank regression framework as well as information criteria, we investigate the presen...