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

Suryadeepto Nag, Sankarshan Basu () and Siddhartha P. Chakrabarty ()
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Sankarshan Basu: Indian Institute of Management Bangalore
Siddhartha P. Chakrabarty: Indian Institute of Technology Guwahati

Journal of Quantitative Economics, 2022, vol. 20, issue 1, No 7, 159-171

Abstract: 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.

Keywords: Commodity prices; Copper mini; Higher order Markovian; Estimation (search for similar items in EconPapers)
JEL-codes: C6 C8 (search for similar items in EconPapers)
Date: 2022
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Working Paper: Modeling the commodity prices of base metals in Indian commodity market using a Higher Order Markovian Approach (2020)
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DOI: 10.1007/s40953-021-00258-8

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