International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
Conferences Published ↓
IC-AIRCM-T3-2026
SPHERE-2025
AIMAR-2025
SVGASCA-2025
ICCE-2025
Chinai-2023
PIPRDA-2023
ICMRS'23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 2
March-April 2026
Indexing Partners
To Analyze Patterns and Factors of Price Fluctuations in Agricultural Commodity Markets
| Author(s) | Ms. Sonali Chaurasia, Prof. Dr. Pinki Sharma, Prof. Dr. Akhilesh A Waoo |
|---|---|
| Country | India |
| Abstract | The aim of the study is to investigate the trends and predictors of price fluctuations on agricultural commodity markets through the systematic review of the literature on the subject (both empirical and theoretical). The price volatility in the agricultural prices has significant effects to the income stability of the farmers, consumer welfare, food security and the macroeconomic stability. The analysis is done on the basis of synthesis of the findings on the demand supply relationships, climatic variability, government intervention, international trading policies, speculative trading, and financialization of the commodity markets. It adopts a systematic review methodology to group the available literature into thematic groups to incorporate the macroeconomic factors, structural market inefficiency, behavioural factors, and technological factors. Other methodological tools compared in the paper are time-series econometrics (ARIMA, GARCH, VAR), panel data models and machine learning models. The most important areas of research gaps include predictive analytics, real-time data integration, and model of climate-risks. The paper has also come up with a conclusion by providing a synthesized analytic model that incorporates econometric and AI-based models to boost and control the hazards in agricultural prices. |
| Keywords | Agricultural commodity markets; Price volatility; Supply-demand dynamics; Climate shocks; Econometric modelling; Market integration; Speculation; Food security. |
| Field | Computer |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-01 |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
Powered by Sky Research Publication and Journals