EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH
Bachelor's
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2018
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Online Access: | http://scholarbank.nus.edu.sg/handle/10635/147545 |
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sg-nus-scholar.10635-1475452019-04-12T13:38:42Z EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH KOH BING HAO NUS Business School TKACHENKO, DENIS ROBERT LAWRENCE KIMMEL Early warning, Banking crisis, Panel VAR Bachelor's BACHELOR OF BUSINESS ADMINISTRATION WITH HONOURS 2018-09-24T07:15:56Z 2018-09-24T07:15:56Z 2017 Thesis KOH BING HAO (2017). EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/147545 |
institution |
National University of Singapore |
building |
NUS Library |
country |
Singapore |
collection |
ScholarBank@NUS |
topic |
Early warning, Banking crisis, Panel VAR |
spellingShingle |
Early warning, Banking crisis, Panel VAR KOH BING HAO EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH |
description |
Bachelor's |
author2 |
NUS Business School |
author_facet |
NUS Business School KOH BING HAO |
format |
Theses and Dissertations |
author |
KOH BING HAO |
author_sort |
KOH BING HAO |
title |
EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH |
title_short |
EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH |
title_full |
EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH |
title_fullStr |
EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH |
title_full_unstemmed |
EVALUATING THE USEFULNESS OF EARLY WARNING INDICATORS FOR BANKING CRISIS: A PANEL VAR APPROACH |
title_sort |
evaluating the usefulness of early warning indicators for banking crisis: a panel var approach |
publishDate |
2018 |
url |
http://scholarbank.nus.edu.sg/handle/10635/147545 |
_version_ |
1681098750872780800 |