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February 14, 20260 citationsOpen Access

Students' Investment Analysis and Awareness about the Commodity Market in Bengaluru Urban

PPPriya Poudyal

Key Points

  • To examine the level of awareness, investment behaviour, and perception of risk among students in Bengaluru Urban regarding the commodity market.
  • Conducted primary data collection through a structured questionnaire
  • Targeted undergraduate and postgraduate students in commerce and management
  • Utilized secondary data from academic journals and SEBI reports
  • Adopted a descriptive research design
  • Applied percentage analysis and descriptive interpretation for data analysis
  • Identified low awareness of commodity market among students
  • Noted students' preference for traditional investment avenues
  • Highlighted varying perceptions of risk related to commodity investments

Abstract

The commodity market forms a vital component of the financial system by enabling price discovery, risk management, and efficient allocation of resources across the economy. With increasing financial innovation, digital trading platforms, and easy access to market-related information, students today represent an emerging category of potential investors. Despite this growing exposure, awareness and participation of students in commodity markets remain relatively low when compared to traditional investment avenues such as bank deposits, gold, mutual funds, and equity markets. The present study aims to examine the level of awareness, investment behaviour, and perception of risk among students in Bengaluru Urban with regard to the commodity market. The study is based on both primary and secondary data. Primary data were collected through a structured questionnaire administered to undergraduate and postgraduate students pursuing commerce, management, and related courses. Secondary data were sourced from books, academic journals, research articles, SEBI reports, and publications of commodity exchanges. Descriptive research design was adopted, and simple statistical tools such as percentage analysis and descriptive interpretation were used for data analysis.

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Cite This Study

Priya Poudyal (2026) studied this question.

synapsesocial.com/papers/699011a12ccff479cfe5878ahttps://doi.org/10.5281/zenodo.18618289
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