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Use of the Baltic Dry Index as a leading economic indicator to predict Asian share market performance

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dc.contributor.author Samarasena, CA
dc.contributor.author Sigera, I
dc.contributor.editor Gunaruwan, TL
dc.date.accessioned 2022-04-22T09:31:19Z
dc.date.available 2022-04-22T09:31:19Z
dc.date.issued 2016-06
dc.identifier.citation Samarasena, C.A., & Sigera, I. (2016). Use of the Baltic Dry Index as a leading economic indicator to predict Asian share market performance [Extended Abstract]. In T.L. Gunaruwan (Ed.), Proceedings of 1st International Conference on Research for Transport and Logistics Industry 2016 (pp. 121-124). Sri Lanka Society of Transport and Logistics. https://slstl.lk/r4tli-2016/ en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/17666
dc.description The London-based Baltic Exchange measures changes in the cost of transporting raw materials such as metals, grains and fossil fuels by sea, through the Baltic Dry Index (BDI). Dry bulks represent initial or intermediary steps of the production cycle. Shipping of dry bulks therefore happens even before the production cycle begins. This allows the use of BDI as a practical leading economic indicator. This research attempts to prove that the BDI has predictive ability for a range of major Asian stock market returns. The following formula is used to calculate the BDI, The value 0.113473601 is the multiplier introduced to standardise the calculation and was first applied when the BDI replaced its predecessor BFI (Baltic Freight Index). Time charter average (TCavg) on routes measured covering Handysize (HT), Supramax (ST), Panamax (PT), and Capesize (CT) ships. These dry bulk carriers carry a range of commodities including coal, iron ore and grain in the 23 routes tracked by the BDI. en_US
dc.language.iso en en_US
dc.publisher Sri Lanka Society for Transport and Logistics en_US
dc.relation.uri https://slstl.lk/r4tli-2016/ en_US
dc.subject Baltic dry index en_US
dc.subject Global stock markets en_US
dc.subject Global real economic activity en_US
dc.subject Predictive regressions en_US
dc.title Use of the Baltic Dry Index as a leading economic indicator to predict Asian share market performance en_US
dc.type Conference-Extended-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Transport and Logistics Management en_US
dc.identifier.year 2016 en_US
dc.identifier.conference 1st International Conference on Research for Transport and Logistics Industry 2016 en_US
dc.identifier.place Colombo en_US
dc.identifier.pgnos pp. 121-124 en_US
dc.identifier.proceeding Proceedings of 1st Conference on Research for Transport and Logistics Industry 2016 en_US


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