Autoregressive conditional duration: a new model for irregularly spaced transaction data RF Engle, JR Russell Econometrica, 1127-1162, 1998 | 2402 | 1998 |
Microstructure noise, realized variance, and optimal sampling FM Bandi, JR Russell The Review of Economic Studies 75 (2), 339-369, 2008 | 1000 | 2008 |
Separating microstructure noise from volatility FM Bandi, JR Russell Journal of Financial Economics 79 (3), 655-692, 2006 | 835 | 2006 |
A nonlinear autoregressive conditional duration model with applications to financial transaction data MY Zhang, JR Russell, RS Tsay Journal of Econometrics 104 (1), 179-207, 2001 | 462 | 2001 |
A nonlinear autoregressive conditional duration model with applications to financial transaction data MY Zhang, JR Russell, RS Tsay Journal of Econometrics 104 (1), 179-207, 2001 | 461 | 2001 |
Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model RF Engle, JR Russell Journal of empirical finance 4 (2-3), 187-212, 1997 | 358 | 1997 |
True or spurious long memory? A new test A Ohanissian, JR Russell, RS Tsay Journal of Business & Economic Statistics 26 (2), 161-175, 2008 | 247 | 2008 |
Kurtosis of GARCH and stochastic volatility models with non-normal innovations X Bai, JR Russell, GC Tiao Journal of econometrics 114 (2), 349-360, 2003 | 239 | 2003 |
Measuring and modeling execution cost and risk RF Engle, R Ferstenberg, JR Russell NYU Working paper no. FIN-06-044, 2006 | 218 | 2006 |
The magnet effect of price limits: evidence from high-frequency data on Taiwan Stock Exchange DD Cho, J Russell, GC Tiao, R Tsay Journal of Empirical Finance 10 (1-2), 133-168, 2003 | 216 | 2003 |
Analysis of high frequency financial data RF Engle, JR Russell Handbook of financial econometrics, 2004 | 200* | 2004 |
Analysis of high frequency financial data RF Engle, JR Russell Handbook of financial econometrics, 2004 | 198* | 2004 |
Econometric modeling of multivariate irregularly-spaced high-frequency data JR Russell Manuscript, GSB, University of Chicago, 1999 | 194 | 1999 |
Consultative decision engine method and system for financial transactions J Russell, R Gagliano US Patent App. 10/145,263, 2002 | 185 | 2002 |
A discrete-state continuous-time model of financial transactions prices and times: The autoregressive conditional multinomial–autoregressive conditional duration model JR Russell, RF Engle Journal of Business & Economic Statistics 23 (2), 166-180, 2005 | 177 | 2005 |
Realized covariation, realized beta and microstructure noise FM Bandi, JR Russell Unpublished paper, Graduate School of Business, University of Chicago 122, 2005 | 128 | 2005 |
Econometric analysis of discrete-valued irregularly-spaced financial transactions data using a new autoregressive conditional multinomial model JR Russell, RF Engle CRSP Working Paper, 1998 | 124* | 1998 |
Forecasting transaction rates: the autoregressive conditional duration model RF Engle III, JR Russell National Bureau of Economic Research, 1994 | 123 | 1994 |
Using high-frequency data in dynamic portfolio choice FM Bandi, JR Russell, Y Zhu Econometric Reviews 27 (1-3), 163-198, 2008 | 121 | 2008 |
Market microstructure noise, integrated variance estimators, and the accuracy of asymptotic approximations FM Bandi, JR Russell Journal of Econometrics 160 (1), 145-159, 2011 | 111 | 2011 |