posted on 2024-01-19, 00:40authored byMd Arafat Rahman
This thesis comprises three independent papers employing cutting-edge timeseries econometrics techniques in macroeconomics and finance. The first paper predicts cash rates in Australia using various discrete choice models and forecast combination approaches. The second paper investigates the impact of COVID19 on the U.S. equity market, identifying crisis episodes across sectors with pseudo-real-time methods. Furthermore, we compare the unconditional mean, variance, and correlation network structure of stock market returns in pre- and post-onset of COVID-19. The third paper identifies the global housing network structure and explores its driving factors. These findings provide valuable insights for market participants, policymakers, and investors.
Funding
Research Excellence Scholarship (MQRES)
History
Table of Contents
1 Introduction -- 2 Predicting Australian cash rates with discrete choice models -- 3 The heterogeneous impacts of COVID-19 on the U.S. National and Sectoral Equity Indices -- 4 Exploring housing networks and driving forces: a global perspective
Awarding Institution
Macquarie University
Degree Type
Thesis PhD
Degree
Doctor of Philosophy
Department, Centre or School
Department of Economics
Year of Award
2023
Principal Supervisor
Shuping Shi
Additional Supervisor 1
Roselyne Joyeux
Rights
Copyright: The Author
Copyright disclaimer: https://www.mq.edu.au/copyright-disclaimer