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Investors Perception towards Commodity Trading in India
Dr. N. Leela Principal and HOD of commerce. Vivekananda Vision Arts & Science College. Katchur. Uthukottai. Thiruvallur District 602026. Tamilnadu
Pages: 1-19 | First Published: 05 Feb 2025
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Abstract
This study aims to measure the investors’ perception and attitude towards Indian stock market especially in Commodity Trading with reference to the investors in Tamilnadu. This research is descriptive research and it is going to measure the variables which influencing the investors' perception and attitude towards commodity trading. So the descriptive research is taken to describe the features in testing the current scenario. Convenient sampling technique has been adopted. Universe of this study was infinite in nature. So it is appropriate to apply non probability sampling. Trail survey was used to select the sample size measuring internal and construct validity and reliability of the instrument being tested. Based on the pilot study, researcher infers that the standard deviation of the population is low. Major findings of this study include, Income has significant impact on frequency of trading in commodity market, selection of mode of trading and selection of market segments. Age and income has significant impact on taking exposure. Forty six functional variables are used in this study to measure investors' perception. These variables have been explained 72% influence on measuring investor perception.
Keywords: Investor Perception, Commodity Trading, Indian stock market and Stock Exchange

References

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  8. R.Mayakkannan (2018) Impact of Buying Behaviour of Consumers towards Instant Food Products in Chennai District; International Journal of Pure and Applied Mathematics Volume 119  No. 12  2018, 16279-16286; ISSN: 1314-3395 (on-line version)url:http: Yoganandan, G. (2015). Carrying out and understanding MBA Students’ summer project - A practical guide. The International Journal of Business & Management, 3(1), 73-76.

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  11. Raman, M., Kaliappen, N., Suan, C.L.A Study on Machine Learning Classifier Models in Analyzing Discipline of Individuals Based on Various Reasons Absenteeism from Work2020 International Conference on Decision Aid Sciences and Application, DASA 2020, 2020, pp. 360–364, 9317017

  12. R.Mayakkannan(2018) //www.ijpam.eu Special Issue (PDF) Impact of Buying Behavior of Consumers towards Instant Food Products in Chennai District. Available from: https://www.researchgate.net/publication/340633912_Impact of Buying Behaviour of Consumers towards Instant Food Products in Chennai District [accessed May 02 2020]

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Factors Influence of Dividend Policy on Stock Price in Indian Market
Dr S Sridharan Assistant Professor Department of Business Administration. Sir Theagaraya College Chennai -600021.
Pages: 20-40 | First Published: 05 Feb 2025
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Abstract 

One of the most disputed subjects in the field of business finance is the relationship between dividend policy and market price of share. There is good volume of literature for and against this issue. An increase in dividend payment is seen as a positive indicator whereas a decrease in dividend payment as a negative indicator on the future earnings prospects of the company, thus leading to an increase or decrease in share prices of the firm (Vijayakumar, 2010; Sattar et al., 2017). The present study has been undertaken to evaluate the effect of dividend policy on market prices of shares of Nifty 50 companies listed on the National Stock Exchange (NSE) for 2022–2023. The data have been analyzed by employing multiple panel data regression models namely pooled regression, fixed effect model and random effect model. The Hausman test has been used to suggest the most appropriate regression model. The result of the Hausman test indicates that random effect model is more relevant in describing the relationship among the given variables. The results of the random effect regression model support the relevant approaches of dividend policy. Thus, we conclude that there is significant effect of dividend policy on the stock price of firms.

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 2. Abor J., & Fiador V. (2013). Does corporate governance explain dividend policy in Sub-Saharan Africa? International Journal of Law and Management, 55(3), 201–225.

 3. Adesina K., Uwuigbe U., Uwuigbe O. R., Asiriuwa O., & Oriabe S. (2017). Dividend policy and share price valuation in Nigerian banks. Euro Economica, 36(1), 185–195. 

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5. Al-Twaijry A. A. (2007). Dividend policy and payout ratio: Evidence from the Kuala Lumpur stock exchange. The Journal of Risk Finance, 8(4), 349–363. 

6. R.Mayakkannan (2018) Impact of Buying Behaviour of Consumers towards Instant Food Products in Chennai District; International Journal of Pure and Applied Mathematics Volume 119 No. 12 2018, 16279-16286; ISSN: 1314- 3395 (on-line version)url:http:

 7. Yoganandan, G. (2015). Carrying out and understanding MBA Students’ summer project - A practical guide. The International Journal of Business & Management, 3(1), 73-76. 

8. Raman, M., Kaliappen, N., Suan, C.L.A Study on Machine Learning Classifier Models in Analyzing Discipline of Individuals Based on Various Reasons Absenteeism from Work2020 International Conference on Decision Aid Sciences and Application, DASA 2020, 2020, pp. 360–364, 9317017 

9. R.Mayakkannan(2018) //www.ijpam.eu Special Issue (PDF) Impact of Buying Behaviour of Consumers towards Instant Food Products in Chennai District. Available from:

10. https://www.researchgate.net/publication/340633912_Impact_of_Buying_Be haviour_of_Consumers_towards_Instant_Food_Products_in_Chennai_Distric t [accessed May 02 2020]