Search: RMSEs

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RBA Glossary definition for RMSEs

RMSEs – Root Mean Squared Errors

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Introduction

16 May 2008 RDP 2008-02
Hugo Gerard and Kristoffer Nimark
2007). While point forecast combinations are usually evaluated according to root mean squared errors (RMSE), the criteria for evaluating density forecasts are less clear cut.
https://www.rba.gov.au/publications/rdp/2008/2008-02/introduction.html
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Out-Of-Sample Forecasting

1 Nov 1996 RDP 9606
Ellis W. Tallman and Naveen Chandra
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
James Hansen
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
Adrian Blundell-Wignall and Susan Thorp
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
Jeffrey R. Sheen
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
Ian Macfarlane and J.R. Hawkins
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
Gordon de Brouwer
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

Exchange Rate Expectations and the Forward Rate

1 Oct 1989 RDP 8906
Jeremy Smith and David W.R. Gruen
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

An Equilibrium Model of the UV Relationship

1 Jun 1993 RDP 9305
Jerome Fahrer and Andrew Pease
There is no visible difference between the non-linear expression and its linearised form, with the RMSE only 0.09 per cent.
https://www.rba.gov.au/publications/rdp/1993/9305/equilibrium-model-uv-relationship.html

Underlying Inflation Concepts and Alternative Measures

31 Dec 2005 RDP 2005-05
Ivan Roberts
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