Optimal policy in the global liquidity trap. The recent global financial crisis has led most central banks in developed economies to reduce their policy interest rates to unprecedentedly low levels. As a result, the liquidity trap has now become a serious concern internationally. This project will derive the optimal monetary and fiscal policy in the global liquidity trap. It will also show how a shock in one country affects other countries and propose tools for improving the empirical fit of the ....Optimal policy in the global liquidity trap. The recent global financial crisis has led most central banks in developed economies to reduce their policy interest rates to unprecedentedly low levels. As a result, the liquidity trap has now become a serious concern internationally. This project will derive the optimal monetary and fiscal policy in the global liquidity trap. It will also show how a shock in one country affects other countries and propose tools for improving the empirical fit of the models in a liquidity trap. This project will become the foundation for the discussion of policy options in the global liquidity trap.Read moreRead less
Commodity cycles. The implications of resource demand by emerging markets are issues policy makers need to understand. This project address these by focusing on currency, equity and commodity linkages, the financial market and macroeconomic effects of currency collapse, and the role of emerging markets in mitigating/amplifying economic shock transmission.
Discovery Early Career Researcher Award - Grant ID: DE130100967
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Understanding the effects of sovereign default risk on economic fluctuations in open economies. The recent financial crisis has shown that the possibility of sovereign default is no longer an exclusive feature of developing countries. This project incorporates default risk into structural modeling of how foreign disturbances affect the domestic economy. Our results will aid in developing policy responses to adverse macroeconomic events.
Detecting financial contagion using high frequency data. Financial crises spread extraordinarily quickly. However, existing tools for measuring this spread use relatively low frequency data. This project develops tools for measuring and detecting periods of stress and the effects of financial contagion in financial markets, using high frequency data based on recorded transaction prices.