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RBA Glossary definition for VAR models

VAR models – Vector Auto Regression models

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Identification and Inference under Narrative Restrictions

20 Oct 2023 RDP PDF 1128KB
The initial conditions. (y1p,. ,y0) are given. The reduced-form VAR(p) representation is. ... the likelihood of the reduced-form VAR), whichdepends only on ϕϕϕ and the data.
https://www.rba.gov.au/publications/rdp/2023/pdf/rdp2023-07.pdf

DSGE Reno: Adding a Housing Block to a Small Open Economy Model

1 Apr 2018 RDP 2018-04
Christopher G Gibbs, Jonathan Hambur and Gabriela Nodari
Structural VARS:. The code to estimate the structural VAR models and reproduce Figure 12 can be found in the ‘SVAR’ directory. ... Existing results are stored in VAR_model_1, VAR_model_2, VAR_model_3 and VAR_model_4. Bayesian IRFs:.
https://www.rba.gov.au/publications/rdp/2018/2018-04/read-me.html
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The Structural VAR

31 Dec 2001 RDP 2001-01
John Simon
The VAR methodology specifically allows the data to suggest the best model. ... If, for example, we have estimated a VAR(3) model, the long-run cumulative effect of an innovation in u.
https://www.rba.gov.au/publications/rdp/2001/2001-01/structural-var.html
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Estimating the Effects of Monetary Policy in Australia Using Sign-restricted Structural Vector Autoregressions

29 Dec 2022 RDP PDF 1886KB
known problems with conducting Bayesian inference in set-identified models; in particular, a. ... 3.1 Specification of reduced-form VAR. The model includes a domestic block and a foreign block.
https://www.rba.gov.au/publications/rdp/2022/pdf/rdp2022-09.pdf

Do Monetary Policy and Economic Conditions Impact Innovation? Evidence from Australian Administrative Data

13 Feb 2024 RDP PDF 1260KB
Using. a vector autoregression (VAR) model, they find that contractionary monetary policy lowers innovative. ... In part,. this appears to reflect our use of a local projection model instead of a VAR.
https://www.rba.gov.au/publications/rdp/2024/pdf/rdp2024-01.pdf

Can We Use High-frequency Yield Data to Better Understand the Effects of Monetary Policy and Its Communication? Yes and No!

1 Apr 2023 RDP 2023-04
Jonathan Hambur
model the future path of interest rates and premia based on data on yields. ... Our baseline VAR is estimated (using ordinary least squares) at a monthly frequency.
https://www.rba.gov.au/publications/rdp/2023/2023-04/full.html
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Managing Market Risk in Banks

10 Dec 1996 Bulletin – December 1996
Leading international banks have begun to model these liquidity effects in more detail and incorporate them directly into their VaR models, although this work is still at a relatively early stage. ... There is no doubt that this characteristic makes VaR
https://www.rba.gov.au/publications/bulletin/1996/dec/1.html

An Empirical BVAR-DSGE Model of the Australian Economy

2 Feb 2015 RDP PDF 657KB
3. Estimating the Models 8. 3.1 Estimating the DSGE Model 83.1.1 Estimating the large economy Minnesota VAR 83.1.2 DSGE calibration 103.1.3 DSGE posterior 12. ... 3.3 Estimating the Benchmark Models 173.3.1 The small open economy Minnesota VAR 17.
https://www.rba.gov.au/publications/rdp/2013/pdf/rdp2013-07.pdf

The VAR Methodology

1 May 1986 RDP 8604
Robert G. Trevor and Stephen G. Donald
As is the hallmark of VARs, there are no exclusion restrictions within the B. ... 2t. itself. The model presented in equation (1) is difficult to describe in terms of the B.
https://www.rba.gov.au/publications/rdp/1986/8604/var-methodology.html
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Measuring Traded Market Risk: Value-at-risk and Backtesting Techniques

1 Dec 2009 RDP PDF 400KB
Many banks that use VaR models routinely perform simple comparisons of dailyprofits and losses with model-generated risk measures to gauge the accuracy of theirrisk measurement systems. ... It should be kept in mind that shortcomings in the construction
https://www.rba.gov.au/publications/rdp/1997/pdf/rdp9708.pdf