Search: RMSEs
RBA Glossary definition for RMSEs
RMSEs – Root Mean Squared Errors
Search Results
Econometric Analysis
31 Dec 2015
RDP
2015-06
The aggregate level of credit losses predicted by Model C fits actual losses quite closely (the RMSE is 0.15), so this model provides a macro-level explanation that, while suffering ... This omission of lending standards is partly responsible for the
https://www.rba.gov.au/publications/rdp/2015/2015-06/eco-analysis.html
Out-Of-Sample Forecasting
1 Nov 1996
RDP
9606
For each forecast horizon from 1 to 8 periods into the future, the root mean squared error (RMSE) is generated for each model. ... forecast. In our case, if the financial aggregates add no value to the forecast, the two VAR model alternatives should have
https://www.rba.gov.au/publications/rdp/1996/9606/out-of-sample-forecasting.html
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An Empirical Comparison of Alternative Measures
31 Dec 2006
RDP
2006-03
54.0. Melbourne – constant. Prices growth. (a). 8.5. 8.8. 8.7. RMSE. ... Brisbane – constant. Prices growth. (a). 6.0. 6.3. 6.3. RMSE. 25.0.
https://www.rba.gov.au/publications/rdp/2006/2006-03/an-empirical-comparison-of-alternative-measures.html
The Stability of Money Demand
1 May 1987
RDP
8703
1.143. 2.84. RMSE. b. =0.029. 0.097. 5. γ. 2. = 0. ... 2.769). 0.00. 0.962. 2.95. RMSE. b. =0.014. 0.087. 5. γ. 2. =
https://www.rba.gov.au/publications/rdp/1987/8703/the-stability-of-money-demand.html
Multivariate Modelling
1 Aug 1986
RDP
8612
is the optimal forecast and. is the forecast error. By comparing the root mean square error (RMSE) of μ to. , ... Max. Min. RMSE. Australia. M3 (monthly). μ. 011. 009. –. –. 014. 587. 053. 99. 66. –. μ. 012. 005. –. –. –. F. 0.0008. 010.
https://www.rba.gov.au/publications/rdp/1986/8612/multivariate-modelling.html
Is it Possible to Pick Good Forecasters?
1 Aug 1983
RDP
8302
It is tempting to award points to the forecasts that did best on average, judged by both RMSE and correlation. ... That is, the forecasters were ranked from one to twelve by the size of their RMSE for each variable for each year.
https://www.rba.gov.au/publications/rdp/1983/8302/is-it-possible-to-pick-good-forecasters.html
An Assessment of Estimates of the Output Gap
1 Aug 1998
RDP
9809
RMSE. 0.0030. 0.0022. 0.0021. 0.0026. 0.0015. 0.0021. 0.0016. Mean absolute error. ... 0.0028. 0.0020. 0.0019. 0.0023. 0.0014. 0.0019. 0.0015. Note: RMSE is the root mean square error.
https://www.rba.gov.au/publications/rdp/1998/1998-09/assessment-of-estimates-of-the-output-gap.html
Underlying Inflation Concepts and Alternative Measures
31 Dec 2005
RDP
2005-05
Bryan and Cecchetti (1994) suggest that the optimal trim can be found by searching across different trims and choosing the time-invariant trim that minimises the root mean squared error (RMSE) ... in the calculation of the RMSE and mean absolute
https://www.rba.gov.au/publications/rdp/2005/2005-05/underlying-inflation-concepts-measures.html
Exchange Rate Expectations and the Forward Rate
1 Oct 1989
RDP
8906
s. e. t k. s. t. Judged by the root mean square error (RMSE) over the sample period, both the average market participants' four-week forecast (s. ... The root mean square errors are respectively, 3.3% and 3.2% compared with a RMSE for the no-change
https://www.rba.gov.au/publications/rdp/1989/8906/exchange-rate-expectations-and-the-forward-rate.html
Issues in Formulating an Inflation Objective
1 Mar 1995
RDP
9503
3.5. 2.8. 1.7. 2.3. mean error. (π$π). 0.23. 0.29. RMSE. 1.27. ... The weighted average RMSE of the individual OECD forecasts for the G7 countries over the period 1974–1992 was 1.5 per cent.
https://www.rba.gov.au/publications/rdp/1995/9503/issues-in-formulating-an-inflation-objective.html