Forecasting the Global Electronics Cycle with Leading Indicators: A Bayesian VAR Approach
Developments in the global electronics industry are typically monitored by tracking indicators that span a whole spectrum of activities in the sector. However, these indicators invariably give mixed signals at each point in time, thereby hampering attempts at prediction. In this paper, we propose a...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2006
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| Online Access: | https://ink.library.smu.edu.sg/soe_research/201 https://ink.library.smu.edu.sg/context/soe_research/article/1200/viewcontent/Forecasting_the_global_electronics_cycle_2006.pdf |
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| Institution: | Singapore Management University |
| Language: | English |