Improved theory and practice in econometric modelling of nonlinear spatial time series. Modern Australia faces many challenges in economic and global climate changes, which require advanced statistical technologies in modeling and forecasting of econometric spatial time series data. This project will provide flexible models and methods that enable practitioners to more accurately measure and manage economic and climatic risks.
Trending time series models with non- and semi-parametric methods. The outcomes of this project will not only complement but also enhance the existing strengths and reputation of Australian researchers in the field of econometrics. The outcomes are also expected to help improve model building and forecasting from better models in climatology, economics, environmetrics and financial econometrics.
Discovery Early Career Researcher Award - Grant ID: DE150100708
Funder
Australian Research Council
Funding Amount
$352,000.00
Summary
Understanding the Linkage of Public and Private Risk in the Global Economy. This project aims to develop a richly detailed model of the global financial system including both public and private institutions. By treating the system as a network of interconnected entities, this project aims to introduce new techniques to map and to trace the evolution of risk in the financial system, to forecast the spillover of risk between entities in the system, and to conduct counterfactual analysis of potenti ....Understanding the Linkage of Public and Private Risk in the Global Economy. This project aims to develop a richly detailed model of the global financial system including both public and private institutions. By treating the system as a network of interconnected entities, this project aims to introduce new techniques to map and to trace the evolution of risk in the financial system, to forecast the spillover of risk between entities in the system, and to conduct counterfactual analysis of potential policy measures. This project will investigate the link between spillover intensity and the existing research on extreme events in financial data. By studying how the recent crisis spread through the global financial system, this project aims to enhance our ability to foresee future crises and to mitigate their impact and costs.Read moreRead less