Live Covid-19
United States 89,360,080
Cases: 89,360,080
Deaths: 1,042,678
Recovered: 84,916,391
Active: 3,401,011
India 43,471,282
Cases: 43,471,282
Deaths: 525,139
Recovered: 42,836,906
Active: 109,237
Brazil 32,358,451
Cases: 32,358,451
Deaths: 671,466
Recovered: 30,846,850
Active: 840,135
France 31,083,859
Cases: 31,083,859
Deaths: 149,533
Recovered: 29,620,989
Active: 1,313,337
Germany 28,293,960
Cases: 28,293,960
Deaths: 141,189
Recovered: 26,702,200
Active: 1,450,571
United Kingdom 22,720,345
Cases: 22,720,345
Deaths: 180,330
Recovered: 22,145,429
Active: 394,586
Italy 18,523,111
Cases: 18,523,111
Deaths: 168,353
Recovered: 17,469,969
Active: 884,789
Russia 18,433,394
Cases: 18,433,394
Deaths: 381,165
Recovered: 17,861,605
Active: 190,624
South Korea 18,368,857
Cases: 18,368,857
Deaths: 24,555
Recovered: 18,204,741
Active: 139,561
Turkey 15,123,331
Cases: 15,123,331
Deaths: 99,032
Recovered: 15,005,249
Active: 19,050
Spain 12,734,038
Cases: 12,734,038
Deaths: 107,906
Recovered: 12,218,358
Active: 407,774
Vietnam 10,746,470
Cases: 10,746,470
Deaths: 43,087
Recovered: 9,681,318
Active: 1,022,065
Argentina 9,367,172
Cases: 9,367,172
Deaths: 129,070
Recovered: 9,163,334
Active: 74,768
Japan 9,329,520
Cases: 9,329,520
Deaths: 31,281
Recovered: 9,135,363
Active: 162,876
Netherlands 8,184,179
Cases: 8,184,179
Deaths: 22,378
Recovered: 8,063,483
Active: 98,318
Australia 8,162,153
Cases: 8,162,153
Deaths: 9,930
Recovered: 7,905,095
Active: 247,128
Iran 7,238,126
Cases: 7,238,126
Deaths: 141,389
Recovered: 7,062,657
Active: 34,080
Colombia 6,175,181
Cases: 6,175,181
Deaths: 140,070
Recovered: 5,984,546
Active: 50,565
Indonesia 6,088,460
Cases: 6,088,460
Deaths: 156,737
Recovered: 5,914,933
Active: 16,790
Mexico 6,034,602
Cases: 6,034,602
Deaths: 325,716
Recovered: 5,192,957
Active: 515,929
Poland 6,015,634
Cases: 6,015,634
Deaths: 116,429
Recovered: 5,335,673
Active: 563,532
Portugal 5,171,236
Cases: 5,171,236
Deaths: 24,149
Recovered: 4,745,321
Active: 401,766
Ukraine 5,017,038
Cases: 5,017,038
Deaths: 108,638
Recovered: 4,906,519
Active: 1,881
North Korea 4,744,430
Cases: 4,744,430
Deaths: 73
Recovered: 4,736,220
Active: 8,137
Malaysia 4,566,055
Cases: 4,566,055
Deaths: 35,765
Recovered: 4,500,856
Active: 29,434
Thailand 4,525,269
Cases: 4,525,269
Deaths: 30,667
Recovered: 4,470,490
Active: 24,112
Austria 4,438,883
Cases: 4,438,883
Deaths: 18,792
Recovered: 4,314,940
Active: 105,151
Israel 4,344,800
Cases: 4,344,800
Deaths: 10,958
Recovered: 4,259,884
Active: 73,958
Belgium 4,225,222
Cases: 4,225,222
Deaths: 31,903
Recovered: 4,122,858
Active: 70,461
South Africa 3,993,843
Cases: 3,993,843
Deaths: 101,793
Recovered: 3,880,462
Active: 11,588

Dividends as a Determinant Factor of Share Price of Non-Financial Firms in Nigeria

Dividends as a Determinant Factor of Share Price of Non-Financial Firms in Nigeria

ABSTRACT

This study explored the effectiveness of dividends as a determinant factor of share price of quoted non-financial firms in Nigeria. Specifically, the study focused on dividend yield, dividend payout, earning per share and book value per share in relation to share price of the selected non-financial firms. Samples of 75 companies from different sectors were used for the period of ten years spanning 2010 to 2019. The study adopted ex-post facto and cross-sectional research design. The secondary data were sourced from annual reports of the selected non-financial firms quoted in Nigeria stock exchange. Analytical techniques employed was panel least squares multiple regression analysis with some preliminary tests such as descriptive analysis, correlation analysis, variance inflation factor analysis and Hausman effects tests for the period of ten years. Result uncovered that book value per share and earnings per share are positive contributors to share price of non-financial firms in Nigeria while dividend payout and dividend yield are negative factors to share price. However, only earnings per share size exert significant influence; hence, earning per share is the major determinant factor of share price of quoted non-financial firms in Nigeria. The findings showed that about 91.9% of the changes in total variation in the share price of selected non-financial firms can be attributed to the joint effect of all the explanatory variables while about 8.1% was unaccounted for thereby captured by the stochastic error term. The study recommends among others, that managers of non-financial firms should pay more attention towards earnings per share and book value per share to boost their performance and hence add value to their share price.

Keywords: Dividend; Share Price; Non-Financial Firms; Least Squares Regression

Authorship
1Nwobodo, Azuka Tina, 2Prof. Ifurueze, Meshack and 3Ofor, Nkechi Theresa, PhD

Download Full PDF

 

Categories: