Modeling the Commodity Prices of Base Metals in Indian Commodity Market Using a Higher Order Markovian Approach View Full Text


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Article Info

DATE

2021-11-18

AUTHORS

Suryadeepto Nag, Sankarshan Basu, Siddhartha P. Chakrabarty

ABSTRACT

A 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. More... »

PAGES

159-171

References to SciGraph publications

  • 2015-03-25. Coordinate descent algorithms in MATHEMATICAL PROGRAMMING
  • 2015-01-23. Modeling and estimating commodity prices: copper prices in MATHEMATICS AND FINANCIAL ECONOMICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s40953-021-00258-8

    DOI

    http://dx.doi.org/10.1007/s40953-021-00258-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1142633449

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34812226


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