Factors Influencing Pricing Multiples: Evidence from India


  • Jeelan Basha V
  • Tejesh H R
  • Sharanappa Kilarahatti




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This study attempts to enhance insights into the valuation process by exploring factors influencing pricing multiples, considering their crucial role in corporate decisions and investment strategies. The reference securities are adopted from the Nifty-50 index. The findings show that almost all the dependent and majority of independent variables are right skewed and confirm the leptokurtic nature in the distribution. The Jarque-Bera test for normality is significant for all the variables, except for LTG. Majority of the fundamentals have positive and weak association with the multiples. ROCE is found to be significant in three models – PE, PB, and PS. STG, NPM and Leverages are important for certain specific multiples. The results of the diagnostic tests confirm that there is no collinearity issue, and the residuals are not normally distributed, not auto correlated, and heteroscedasticity is noticed for PE and PS models.


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How to Cite

V, J. B., H R, T., & Kilarahatti, S. (2024). Factors Influencing Pricing Multiples: Evidence from India. The Management Accountant Journal, 59(5), 93–96. https://doi.org/10.33516/maj.v59i5.93-96p





Barket, R. (1999). The Role of Dividends in Valuation Models Used by Analysts and Fund Managers. The European Accounting Review, 8(2), 195-218.

Demirakos, et al. (2004). What Valuation Models Do Analysts Use?. Accounting Horizons, 18(4), 221-240.

Lie, E., & Lie, H. (2002). Multiples Used to Estimate Corporate Value. Financial Analysts Journal, 58(2), 44-54.

Maniar, B. (2014). Factors Influencing Pricing Multiples in India. The IUP Journal of Applied Finance, 20(1), 23-33.

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