Analysis of agricultural crops price fluctuation (CD)

By: Singare, Sumit
Contributor(s): Shinde, Vilas [Co-author] | Sachdeva, Nishant [Co-author]
Material type: Computer fileComputer filePublisher: Ahmedabad Indian Institute of Management Ahmedabad 2017Description: 20 p.: col. ill. Includes bibliographical referencesSubject(s): Agricultural Crops - Price Fluctuation - Analysis | Market price | Regression analysisDDC classification: SP2017/2381 Online resources: e-Report Summary: The objective of this project is to study ‘the cobweb effect’ in agricultural products. Based on this effect we hypothesized that farmers expect price for their products based on their information of previous prices. Due to the recency effect farmers consider current market price as a basis while making crop selection decision. The period which is required for the harvest would match with the delay in the response of the supply in the market and subsequent price changes. Using regression analysis, we tried to identify the correlation between past prices and arrival. While performing this regression the efforts were focused on identifying the time range for which the prices would affect the most on arrival. Four crops namely Tomato, Onion, Arahar, Soybean were chosen for the study. The selection was done considering the past behavior of commodities prices. These commodities showed higher level of fluctuation. Two of these crops are perishables and others can be stored, this would help get rid of externalities involved in the behavior.
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Student Project Vikram Sarabhai Library
Audio Visual
Non-fiction SP2017/2381 (Browse shelf) Not for Issue SP002381

Submitted to Prof. Vasant Gandhi
Submitted by PGP 2016-2018 batch in 5th term

The objective of this project is to study ‘the cobweb effect’ in agricultural products. Based on this effect we hypothesized that farmers expect price for their products based on their information of previous prices. Due to the recency effect farmers consider current market price as a basis while making crop selection decision. The period which is required for the harvest would match with the delay in the response of the supply in the market and subsequent price changes. Using regression analysis, we tried to identify the correlation between past prices and arrival. While performing this regression the efforts were focused on identifying the time range for which the prices would affect the most on arrival. Four crops namely Tomato, Onion, Arahar, Soybean were chosen for the study. The selection was done considering the past behavior of commodities prices. These commodities showed higher level of fluctuation. Two of these crops are perishables and others can be stored, this would help get rid of externalities involved in the behavior.

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