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Analysis of the specified paint company's financial performance together with the impact on stock liquidity

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  • V. Sadhishkumar
  • P. Uma Swarupa

Abstract

The study examined the paint manufacturer's stock price-liquidity correlation. Choosing the best model and forecasting paint company stock values are financial decisions. Yahoo Finance and Money Control were examined. Demand and supply set prices in open markets. Equilibrium explains stock markets. The top three NSE India-listed paint companies by market cap were examined. Shorting equities reduces market activity, influencing shareholder sentiment and liquidity. This cubic regression model study measures investor sentiment. According to studies, optimistic investors boost market liquidity. Margin trading dampens investor mood and market liquidity. Cognitive data limits market liquidity. Explosive data enhances liquidity in bull markets, decreases it in bear markets, and has no influence when startled. March 2017-February 2022 data was collected monthly. Liquidity does not affect paint makers' stock prices. The cubic regression equation accurately forecasted paint company stock values. The regression equation predicted that AKZOINDIA would trade for 1,912.40, 1,960.45, 1,918.48, 1,872.30, and 1,821.78 Indian rupees in March, April, May, June and July. ASIAN PAINTS may trade for 3,203.00, 3,614.16, 3,714.51, 3,817.38, and 3,922.81 rupees. BERGER PAINT may trade for 736.80, 788.94, 788.67, 787.18, and 784.41 Indian rupees.

Suggested Citation

  • V. Sadhishkumar & P. Uma Swarupa, 2025. "Analysis of the specified paint company's financial performance together with the impact on stock liquidity," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 14(1), pages 106-123.
    • Handle: RePEc:ids:ijelfi:v:14:y:2025:i:1:p:106-123
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