2003
DOI: 10.1016/s0304-405x(03)00065-5
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Long-horizon regressions: theoretical results and applications

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Cited by 457 publications
(397 citation statements)
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“…Thus, inference based on the asymptotic normal p-values reported in Table VII is likely to be highly deceptive. Valkanov (2003) suggests another reason as to why inference based on the normal distribution is likely to be inappropriate when testing the unit slope hypothesis. He argues that the use of timeaggregated data, as is the case with compounded interest rate series, may alter the convergence rate of routinely computed t-ratios with massive size distortions as a result.…”
Section: The Full Fisher Effectmentioning
confidence: 99%
“…Thus, inference based on the asymptotic normal p-values reported in Table VII is likely to be highly deceptive. Valkanov (2003) suggests another reason as to why inference based on the normal distribution is likely to be inappropriate when testing the unit slope hypothesis. He argues that the use of timeaggregated data, as is the case with compounded interest rate series, may alter the convergence rate of routinely computed t-ratios with massive size distortions as a result.…”
Section: The Full Fisher Effectmentioning
confidence: 99%
“…The dependant variable can therefore suffer from serious autocorrelation. Valkanov (2003) finds that regressions using long horizon returns can have poor statistical power due to the autocorrelation inherent in the data. This is can be dealt with using the Newey-West (1987) heteroskedasticity and autocorrelation consistent (HAC) standard errors as in Evans and Lyons (2005) who examine exchange rate forecasting.…”
Section: Datamentioning
confidence: 99%
“…Another worrisome point is the summation of logarithmic one-period returns. Even though white noise in theory, Valkanov (2003) shows that concatenating logarithmic one-period stock returns leads to almost unit root processes in the long-run and hence spurious regression results. Valkanov suggests an adjustment to the conventional t-statistic to overcome this obstacle.…”
Section: Incomplete Consumption Risk Sharing and Common Factors In Cumentioning
confidence: 99%
“…Repeating this procedure sufficiently many times and calculating the value of the t-statistic for the significance level at which the null hypothesis is tested should give a good indication of the predictor's true forecasting. Table 3 reports Newey-West (Newey and West (1987)) corrected t-statistics in parenthesis as well as Valkanov (2003) corrected t-statistics in brackets 3 below the regression estimates.…”
Section: Incomplete Consumption Risk Sharing and Common Factors In Cumentioning
confidence: 99%
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