Time series data affect many aspects of our lives. This paper highlights ten things we should all know about time series, namely: a good working knowledge of econometrics and statistics, an awareness of measurement errors, testing for zero frequency, seasonal and periodic unit roots, analysing...

Based on a cash-in-advance approach, this paper investigates theoretically the determinants of money holdings of firms under the conditions of a highly regulated labor market and analyses empirically the demand for money of German businesses during the period 1960-1998. As a result of our...

One of the fastest growing areas in empirical finance, and also one of the least rigorously analyzed, especially from a financial econometrics perspective, is the econometric analysis of financial derivatives, which are typically complicated and difficult to analyze. The purpose of this special...

Over the last years there has been considerable interest in the application of long memory time series models in economics using ARFIMA models. Nowadays, the most popular estimator of the difference parameter in economic applications is that proposed by Geweke and Porter-Hudak (GPH) although has...

In many fields of economic analysis the order of integration of some economic magnitudes is of particular interest. Among other aspects, the order of integration determines the degree of persistence of that magnitude. The rate of inflation is a very interesting example because many contradictory...

This paper estimates a long memory volatility model for 16 agricultural commodity futures returns from different futures markets, namely corn, oats, soybeans, soybean meal, soybean oil, wheat, live cattle, cattle feeder, pork, cocoa, coffee, cotton, orange juice, Kansas City wheat, rubber, and...