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

Additional Metadata
Keywords VARFIMA, asymmetry, cointegration, forecasting models and expertise, fractional integration, leverage, long memory, thresholds, unit roots, volatility
JEL Time-Series Models; Dynamic Quantile Regressions (jel C22), Time-Series Models; Dynamic Quantile Regressions (jel C32)
Publisher Erasmus School of Economics (ESE)
Persistent URL hdl.handle.net/1765/20167
McAleer, M.J, & Oxley, L. (2010). Ten Things We Should Know About Time Series (No. EI 2010-49). Report / Econometric Institute, Erasmus University Rotterdam (pp. 1–7). Erasmus School of Economics (ESE). Retrieved from http://hdl.handle.net/1765/20167