MARTIN Gets a Bank Account: Adding a Banking Sector to the RBA's Macroeconometric Model

Anthony Brassil, M. Major, P. Rickards
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Abstract

We add a simplified banking sector to the RBA's macroeconometric model (MARTIN). How this banking sector interacts with the rest of the economy chiefly depends on the extent of loan losses. During small downturns, losses are absorbed by banks' profits and the resulting effect on the broader economy is limited to that caused by the lower shareholder returns (which is already part of MARTIN). During large downturns, loan losses reduce banks' capital, and banks respond by reducing their credit supply. This reduction in supply reduces housing prices, wealth and investment; thereby amplifying the downturn (which leads to further losses). Our state-dependent approach is a significant advance on the treatment of financial sectors within existing macroeconometric models. Having a banking sector in MARTIN allows us to explore important policy questions. In this paper, we show how the effectiveness of monetary policy depends on the state of the economy. During large downturns, monetary policy is more effective than usual because it can reduce loan losses and therefore moderate any reduction in credit supply. But at low interest rates, the zero lower bound on retail deposit interest rates reduces policy effectiveness. We also investigate how one of the more pessimistic economic scenarios that could have resulted from COVID-19 might have affected the banking sector, and subsequently amplified the resulting downturn.
马丁获得银行账户:将银行业加入澳大利亚央行的宏观计量经济模型
我们在澳大利亚央行的宏观计量经济模型(MARTIN)中添加了一个简化的银行业。银行业如何与其他经济部门相互作用,主要取决于贷款损失的程度。在小规模的经济衰退中,损失被银行的利润所吸收,由此产生的对更广泛经济的影响仅限于股东回报的降低(这已经是MARTIN的一部分)。在经济大幅下滑期间,贷款损失减少了银行的资本,银行通过减少信贷供应来应对。供给的减少降低了房价、财富和投资;从而放大了低迷(导致进一步的损失)。我们的国家依赖方法是在现有宏观计量经济模型中处理金融部门的重大进步。马丁拥有一个银行部门,使我们能够探索重要的政策问题。在本文中,我们展示了货币政策的有效性如何取决于经济状况。在经济大幅下滑期间,货币政策比平时更有效,因为它可以减少贷款损失,从而缓和信贷供应的减少。但在低利率下,零售存款利率的下限为零会降低政策的有效性。我们还调查了COVID-19可能导致的更悲观的经济情景之一如何影响银行业,并随后放大了由此导致的衰退。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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