Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/22531
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dc.contributor.authorNag, Suryadeepto
dc.contributor.authorBasu, Sankarshan
dc.contributor.authorChakrabarty, Siddhartha P.
dc.date.accessioned2024-02-20T05:58:38Z-
dc.date.available2024-02-20T05:58:38Z-
dc.date.issued2022
dc.identifier.issn2364-1045
dc.identifier.issn0971-1554
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/22531-
dc.description.abstractA higher order Markovian (HOM) model to capture the dynamics of commodity prices is proposed as an alternative to a Markovian model. In particular, the order of the former model, is taken to be the delay, in the response of the industry, to the market information. This is then empirically analyzed for the prices of copper mini and four other bases metals, namely aluminum, lead, nickel and zinc, in the Indian commodities market. In case of copper mini, the usage of the HOM approach consistently offered improvement, over the Markovian approach, in terms of the errors in forecasting. Similar trends were observed for the other base metals considered, with the exception of aluminum, which can be attributed to the volatility in the Asian market during the COVID-19 outbreak. © 2021, The Author(s), under exclusive licence to The Indian Econometric Society.
dc.publisherSpringer
dc.subjectCommodity prices
dc.subjectCopper mini
dc.subjectEstimation
dc.subjectHigher order Markovian
dc.titleModeling the Commodity Prices of Base Metals in Indian Commodity Market Using a Higher Order Markovian Approach
dc.typeJournal Article
dc.identifier.doi10.1007/s40953-021-00258-8
dc.pages159-171p.
dc.vol.noVol.20
dc.issue.noIss.1
dc.journal.nameJournal of Quantitative Economics
Appears in Collections:2020-2029 C
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