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 fractionally integrated and long memory processes, estimating VARFIMA models, using and interpreting cointegrating models carefully, choosing sensibly among univariate conditional, stochastic and realized volatility models, not confusing thresholds, asymmetry and leverage, not underestimating the complexity of multivariate volatility models, and thinking carefully about forecasting models and expertise

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Erasmus School of Economics
hdl.handle.net/1765/20167
Econometric Institute Research Papers
Report / Econometric Institute, Erasmus University Rotterdam
Erasmus School of Economics

McAleer, M., & Oxley, L. (2010). Ten Things We Should Know About Time Series (No. EI 2010-49). Report / Econometric Institute, Erasmus University Rotterdam (pp. 1–7). Retrieved from http://hdl.handle.net/1765/20167