1. ABSTRACT
This paper explores and examines the factors that influence the cash rate in Australia from 2001-2011 through the testing of various different models. Numerous factors play a detrimental role in determining its significance of how the cash rate profoundly affects the economic growth in Australia. For this reason, it is essential that a comprehensive understanding of significant variables that affect the cash rate is achieved, thus carefully investigating and analysing the data of the independent variables from the Reserve Bank of Australia (RBA) who control the cash rate.
Significant factors that provide a valid explanation that influence the RBA’s decision in changing the cash rate for the last 10 years include the inflation rate, unemployment rate, and the exchange rate. Clearly, if the RBA makes poor decisions with its cash rate with regard to monetary policy decisions, it will not only generate scrutiny from the public, but their choices can result in a slowdown of Australia’s economic growth. For this reason, it is essential that valid empirical results are validated.
This report also evaluates previous literature and their research. Previous literature is assessed in order to encompass a greater understanding of regressions analyses models of the cash rate and to develop a more knowledgeable understanding of the theoretical framework of the cash rate and its determinants. When making decisions to adjust the cash rate, the Reserve Bank considers a number of factors. The degree of significance for the effects of the independent variables depends largely on how logical the results of the three distinctive models have been through the testing of the STATA regression model.
Through relevant literature findings, we have employed three distinctive models in measuring and formulating the expected changes of the three independent variables that influence the cash rate movement. The development of additional hypotheses and models will achieve required answers that will provide further insight
2. INTRODUCTION
The effects of the cash rate present grave importance, because of its strong relationship to market interest rates. Another word for the cash rate (short-term interest rate) is the interbank overnight rate. In Australia, the monetary policy decisions are expressed in terms of a target for the cash rate, with the Reserve Bank using its domestic market operations (‘open market operations’) to keep the cash rate as close as possible to the target set by the Reserve Bank Board. The latest benchmark interest rate in Australia was reported at 4.75 per cent.
In order to test the reliability of the determinants of the cash rate in Australia, various regression models will be tested. The testing of the regression models is to determine the accuracy and reliability of models for estimating how the determinants affect the cash rate in Australia. Over the last 10 years, there have been a range of factors that affect the cash rate in Australia but we will be looking at three specific determinants, which are the inflation rate, unemployment rate, and exchange rate.
The study of the effects of the Australian cash rate decisions is important because it is the core of monetary policy in Australia (Kearns et al. 2005). The reactions of financial markets to the Reserve Bank’s monetary policy stance (loosening, tightening or neutral stance) are essential for financial market participants (Kearns et al. 2005). The importance of the cash rate effects in Australia is furthered with the exchange settlement funds held by banks engages in the implementation of monetary policy.
The data of the past 10 years has generated increased research interest, mainly because of the imperative role that the cash rate plays in regards to the economic growth and welfare of Australians. The degree of significance for the effects of the independent variables depends largely on how logical the results of the
BANKWEST CURTIN ECONOMICS CENTRE WORKING PAPER SERIES 13/9: A ZERO INFLATED REGRESSION MODEL FOR GROUPED DATA Sarah Brown, Alan Duncan, Mark Harris, Jennifer Roberts and Karl Taylor business.curtin.edu.au/bcec This paper was written by researchers affiliated with the Bankwest Curtin Economics Centre (‘the Centre’). While every effort has been made to ensure the accuracy of this document, the uncertain nature of economic data, forecasting and analysis means that the Centre, Curtin…
New Economic Spaces Definitions Term | Definition | Lecture | Space | An area of the earth’s surface with physical distance; an abstract concept, w/ territoriality/form, location within space, “flowable”, unevenly developed | 1 | Place | Area to which a group of people have become attached; specificity and uniqueness | 1 | Scale | Geographical levels of human activity; differently sized units of analysis (ie. Global, macro-regional, national, regional, local, lived places, body) | 1 |…
modeling - whether it is a tradecraft, such as welding, or a science - the task of financial modeling has been gaining acceptance and rigor over the years.[2] Typically, financial modelling is understood to mean an exercise in either asset pricing or corporate finance, of a quantitative nature. In other words, financial modelling is about translating a set of hypotheses about the behavior of markets or agents into numerical predictions; for example, a firm's decisions about investments (the firm will invest…
1. Brief introduction of the topic 1.1. Definition According to the Wikipedia (2014), Building Information Modelling (BIM) is a process of digitally represent the physical and functional characteristics of an infrastructure during its life-cycle, as a reliable basis for making decisions based on the cooperation between different stakeholders in exchanging the knowledge at different stages of the life-cycle of the infrastructure. 1.2. Background As a type of advanced construction tool, BIM plays…
weeks and the complete 51 weeks data) are built using Bayesian dynamics time series and forecasting and ARIMA techniques. The three different sets of data are used to investigate the dynamic behaviour and structural change of the system. From the modelling results, a comparative study of the models' accuracy is performed. The strengths and weaknesses of the Bayesian time series analysis (BATS) models are also discussed and compared to the ARIMA model. The Bayesian dynamic linear time series model…
reflect those of any of the wider groups with which the authors are associated and are in each case personal views. This document is not to be circulated or quoted without permission. + Corresponding Author: Jón Daníelsson, London School of Economics, London WC2A 2AE, UK; Tel. +44-207-955-6056; e-mail: j.danielsson@lse.ac.uk; www.riskresearch.org An Academic Response to Basel II Executive Summary It is our view that the Basel Committee for Banking Supervision, in its Basel II proposals…
Swedish School of Economics and Business Administration Bo-Christer.Bjork@shh.fi This paper deals with the introduction of electronic document management (EDM) technology in the construction industry, and our current research knowledge about this topic. EDM has the potential to enhance the information management in construction projects considerably, without radical changes to current practice. Over the past fifteen years this topic has been overshadowed by building product modelling in the construction…
PharmacoEconomics (2013) 31:25–48 DOI 10.1007/s40273-012-0008-3 SYSTEMATIC REVIEW A Systematic and Critical Review of the Evolving Methods and Applications of Value of Information in Academia and Practice Lotte Steuten • Gijs van de Wetering • ` Karin Groothuis-Oudshoorn • Valesca Retel Published online: 4 December 2012 Ó Springer International Publishing Switzerland 2012 Abstract Objective This article provides a systematic and critical review of the evolving methods and applications…
Analysis Decision Analytics for Parking Availability in Downtown Pittsburgh Individual assignment Ciro Fisicaro 201459312 1. Introduction This case study was located in Pennsylvania, in the Cultural District of Pittsburgh, core of business and economic activities of all south-western Pennsylvania. The Cultural District of Pittsburgh is exactly in the City centre, located in a 0.5 square miles called “Golden Triangle”, and as business centre, the Golden Triangle claim the presence of 130.000 workers…
Price is an important determinant of food choices and diet. 8 Economic theory predicts that as the price of an item rises the consumption of that item will typically fall. Increasing the price of unhealthy foods, by taxation, should reduce consumption of the taxed foods. Observational data suggest that food consumption is relatively insensitive to price changes, the proportional change in consumption being less than the proportional change in price. 9 10 11 12 Moreover, when the price of…