Impact of Demographic Profile on Investor Biases in India Using OLAP AND ANOVA

Authors

  • Arindam Banerjee
  • Anupam De
  • Gautam Bandyopadhyay

DOI:

https://doi.org/10.33516/rb.v43i4.75-94p

Keywords:

Demographic Profile, Investor Biases, Online Analytical Processing (OLAP), ANOVA.

Abstract

There are ample evidences of existence of investment biases among Indian investors. Banerjee, De, and Bandyopadhyay (2017), identified eight clusters of investor biases prevalent among Indian investors. The objective of this paper is to explore the impact of demographic profile on investor biases. In this paper, six demographic parameters, e.g. gender, education, occupation, investment, age, and income are being considered. The effect of these demographic parameters is explored on eight behavioural clusters. We used online analytical processing (OLAP) and ANOVA as statistical tools for analysing the data.

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Published

2018-01-01

How to Cite

Banerjee, A., De, A., & Bandyopadhyay, G. (2018). Impact of Demographic Profile on Investor Biases in India Using OLAP AND ANOVA. Research Bulletin, 43(4), 75–94. https://doi.org/10.33516/rb.v43i4.75-94p

Issue

Volume 43, Issue 4, January 2018

Section

Articles
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Scopus
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Europe PMC

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