Fan chart (time series)

In time series analysis, a fan chart is a chart that joins a simple line chart for observed past data, by showing ranges for possible values of future data together with a line showing a central estimate or most likely value for the future outcomes. As predictions become increasingly uncertain the further into the future one goes, these forecast ranges spread out, creating distinctive wedge or "fan" shapes, hence the term. Alternative forms of the chart can also include uncertainty for past data, such as preliminary data that is subject to revision.

The term "fan chart" was coined by the Bank of England, which has been using these charts and this term since 1997 in its "Inflation Report" [1][2] to describe its best prevision of future inflation to the general public. Fan charts have been used extensively in finance and monetary policy, for instance to represent forecasts of inflation.

FanChartInfl
Hypothetical Fan Chart of the Inflation Rate

Implementation

Predicted future values can be diagrammed in various ways; most simply, by a single predicted value, and an upper and lower range around that (three lines total), or by various future intervals, depicted by varying degrees of shading (darkest near the center of the range, fainter near the ends of the range).

There are several ways to represent the forecast density depending on the shape of the forecasting distribution.

In the Bank of England’s implementation it is assumed that the forecast distribution is a two piece normal or split normal density.[6] This density results from joining the two halves of corresponding normal densities with the same mode but different variances. As a result, the split normal density is non-symmetric and uni-modal. In this case, inflation forecast fan charts are usually accompanied with the balance of risks, the probability that the future inflation falls below its modal forecast. In this way, central banks that employ inflation targeting report to the general public not only the more likely forecasts of the inflation rate but also its balance of risks![7]

The split normal density is completely characterized by three parameters, the mode, variance and skewness. Therefore, the fan chart ranges depend on these parameters only.[4][5][6] and [8]

In a central bank that employs inflation targeting, the three moments of the inflation forecast distribution are determined as follows:

References

  1. Bank of England, Inflation Report
  2. 2.0 2.1 Britton, E., Fisher, P. and J. Whitley (1998). The Inflation Report Projections: Understanding the Fan Chart (February). Bank of England Quarterly Bulletin. Retrieved 2011-03-15.
  3. Casella, G.; Berger, R. (2002). Statistical Inference (second ed.). Duxbury Press.
  4. 4.0 4.1 Julio, J. M. (2007). The Fan Chart: The Technical Details Of The New Implementation. Banco de la República. Retrieved 2010-09-11, direct link
  5. 5.0 5.1 Julio, J. M. (2009). The HPD Fan Chart with Data Revisions. Banco de la República. Retrieved 2011-03-08, link to software
  6. 6.0 6.1 John, S. (1982). "The three-parameter two-piece normal family of distributions and its fitting". Communications in Statistics - Theory and Methods 11 (8): 879–885. doi:10.1080/03610928208828279. Retrieved 2011-03-09.
  7. 7.0 7.1 Blix, M. and P. Sellin (1998). Uncertainty Bands for Inflation Forecasts (Working paper) (65). Sveriges Riksbank. Retrieved 2011-03-11.
  8. Kotz, S. Johnson, M. and N. Balakrishnan (1994). Continuous univariate distributions 1. John Wiley & Sons. Retrieved 2011-03-11.

External links