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RBA Glossary definition for RMSEs

RMSEs – Root Mean Squared Errors

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Forecasting Performance Comparison

23 Sep 2008 RDP 2008-04
Andrew Hodge, Tim Robinson and Robyn Stuart
To evaluate the forecasting performance of the models we construct out-of-sample forecasts and compute their RMSE. ... Table 4: RMSE of BVAR-DSGE 2002:Q1–2007:Q4, VAR(3). Variable. One quarter ahead.
https://www.rba.gov.au/publications/rdp/2008/2008-04/for-per-comparisons.html
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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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Indicators of Labour Demand

19 Sep 2013 Bulletin – September 2013
Kim Edwards and Linus Gustafsson
There are several indicators of labour demand that can be used to assess labour market conditions and as inputs into forecasts of employment growth. These include measures of job vacancies, job advertisements and business surveys of employment
https://www.rba.gov.au/publications/bulletin/2013/sep/1.html

Econometric Analysis

31 Dec 2015 RDP 2015-06
David Rodgers
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
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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Government Bond Market Functioning and COVID-19

27 Jul 2020 Bulletin – September 2020
Richard Finlay, Claudia Seibold and Michelle Xiang
The market for Australian Government Securities is a critical fixed income market in Australia, including because it serves as a pricing benchmark for many other interest rates in the economy.
https://www.rba.gov.au/publications/bulletin/2020/sep/government-bond-market-functioning-and-covid-19.html

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