This paper proposes new estimators for the daily return variance which are based on common intraday statistics (opening, high, low, and closing prices). These estimators utilize information contained in products of absolute values of uncorrelated intraday statistics. An empirical study of nine...

This paper proposes new estimators for the daily return variance which are based on common intraday statistics (opening, high, low, and closing prices). These estimators utilize information contained in products of absolute values of uncorrelated intraday statistics. An empirical study of nine...

The dynamic structure of profit rates for 156 US manufacturing companies is analyzed by means of fractional integration techniques as an alternative to the commolny used ARMIA models with respect to the "persistence of profits". The results show - despite the short lengths of the series - that...

This paper attempts to assemble evidence for the relationship between the product and the financial market. Drawing back on work in industrial organization, we analyze the relationship between profit persistence and expected stock returns. We show that long-run profit persistence together with...

A Monte Carlo study is undertaken to analyze the small sample properties of two time domain and two frequency domain estimators for low order autoregressive fractionally integrated moving average Gaussian models, ARFIMA (p,d,q). More specifically (1,0,0), (0,0,1), (0,d,0), various (2,0,0),...

Previous findings indicate that the inclusion of dynamic factors obtained from a large set of predictors can improve macroeconomic forecasts. In this paper, we explore three possible further developments: (i) using automatic criteria for choosing those factors which have the greatest predictive...

The goal of this paper is to search for conclusive evidence against the stationarity of the global air surface temperature, which is one of the most important indicators of climate change. For this purpose, possible long-range dependencies are investigated in the frequency-domain. Since...

For typical sample sizes occurring in economic and financial applications, the squared bias of estimators for the memory parameter is small relative to the variance. Smoothing is therefore a suitable way to improve the performance in terms of the mean squared error. However, in an analysis of...

For typical sample sizes occurring in economic and financial applications, the squared bias of estimators for the memory parameter is small relative to the variance. Smoothing is therefore a suitable way to improve the performance in terms of the mean squared error. However, in an analysis of...

The goal of this paper is to search for conclusive evidence against the stationarity of the global air surface temperature, which is one of the most important indicators of climate change. For this purpose, possible long-range dependencies are investigated in the frequency-domain. Since...