Tackling macroeconomic precariousness: The role of the composite leading indicator
The present study explored the possibility of extending the leading indicator framework to establish a composite leading indicator (CLI) for the Cambodian economy. We established the CLI on the basis of a non-parametric approach originated by the National Bureau of Economic Research (NBER). We subje...
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my.unimas.ir.140852017-02-17T01:15:53Z http://ir.unimas.my/id/eprint/14085/ Tackling macroeconomic precariousness: The role of the composite leading indicator Puah, Chin-Hong Tan, Wei-tTing Shazali, Abu Mansor Wong, Shirly Siew Ling HB Economic Theory The present study explored the possibility of extending the leading indicator framework to establish a composite leading indicator (CLI) for the Cambodian economy. We established the CLI on the basis of a non-parametric approach originated by the National Bureau of Economic Research (NBER). We subjected a great number of macroeconomic series to empirical scrutiny and settled on two prominent leading variables that ultimately molded a remarkable CLI that effectively tracked the precarious ebb and flow of the macroeconomic environment in Cambodia. Of note is that an average lead time of 7 months manifested great potential for CLI to evolve as a pragmatic means of near-term forecasting to prefigure the fluctuating business cycle. International Information Institute Ltd. 2016-06 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/14085/1/Tackling-macroeconomic-precariousness-The-role-of-the-composite-leading-indicator_2016_Information-%28Japan%29.html Puah, Chin-Hong and Tan, Wei-tTing and Shazali, Abu Mansor and Wong, Shirly Siew Ling (2016) Tackling macroeconomic precariousness: The role of the composite leading indicator. Information (Japan), 19 (6B). pp. 2217-2224. ISSN 13434500 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984839742&partnerID=40&md5=4480d179b40d4777788354abb3843eef International Information Institute Ltd. |
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HB Economic Theory Puah, Chin-Hong Tan, Wei-tTing Shazali, Abu Mansor Wong, Shirly Siew Ling Tackling macroeconomic precariousness: The role of the composite leading indicator |
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The present study explored the possibility of extending the leading indicator framework to establish a composite leading indicator (CLI) for the Cambodian economy. We established the CLI on the basis of a non-parametric approach originated by the National Bureau of Economic Research (NBER). We subjected a great number of macroeconomic series to empirical scrutiny and settled on two prominent leading variables that ultimately molded a remarkable CLI that effectively tracked the precarious ebb and flow of the macroeconomic environment in Cambodia. Of note is that an average lead time of 7 months manifested great potential for CLI to evolve as a pragmatic means of near-term forecasting to prefigure the fluctuating business cycle. |
format |
E-Article |
author |
Puah, Chin-Hong Tan, Wei-tTing Shazali, Abu Mansor Wong, Shirly Siew Ling |
author_facet |
Puah, Chin-Hong Tan, Wei-tTing Shazali, Abu Mansor Wong, Shirly Siew Ling |
author_sort |
Puah, Chin-Hong |
title |
Tackling macroeconomic precariousness: The role of the composite leading indicator |
title_short |
Tackling macroeconomic precariousness: The role of the composite leading indicator |
title_full |
Tackling macroeconomic precariousness: The role of the composite leading indicator |
title_fullStr |
Tackling macroeconomic precariousness: The role of the composite leading indicator |
title_full_unstemmed |
Tackling macroeconomic precariousness: The role of the composite leading indicator |
title_sort |
tackling macroeconomic precariousness: the role of the composite leading indicator |
publisher |
International Information Institute Ltd. |
publishDate |
2016 |
url |
http://ir.unimas.my/id/eprint/14085/1/Tackling-macroeconomic-precariousness-The-role-of-the-composite-leading-indicator_2016_Information-%28Japan%29.html http://ir.unimas.my/id/eprint/14085/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984839742&partnerID=40&md5=4480d179b40d4777788354abb3843eef |
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