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ReserarchID
5R211
Cost of oil affects the profit and loss of the organization as oil is immediate or circuitous expense of operation. In this way, the ascent in crude oil costs will be relied upon to bring about the decline in income, which brought about a decrease of prompt stock market index. The goal of the examination is to get precise answers of exploration inquiries said in particular settings of Pakistan, India and China. This paper utilized regression, Durbin Watson test and correlation analysis to discover the answers of exploration inquiries and goals. The time of study is 21 years (From Jan 1995 to June 2015 on the bases of month to month variations) of dependent and predictor variables. It could be seen that the model is superbly fitted to the regression. In all instances of these three stock trades there is sure relationship between oil costs and stock exchange 100 index.
Waqar Hassan. 1970. \u201cRelationship between Oil Prices and Stock Market Index: A Case of Pak, India & China\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 16 (GJMBR Volume 16 Issue B6): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 100
Country: Pakistan
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: (PhD/Dr. count: 0)
View Count (all-time): 134
Total Views (Real + Logic): 21030
Total Downloads (simulated): 11006
Publish Date: 1970 01, Thu
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Cost of oil affects the profit and loss of the organization as oil is immediate or circuitous expense of operation. In this way, the ascent in crude oil costs will be relied upon to bring about the decline in income, which brought about a decrease of prompt stock market index. The goal of the examination is to get precise answers of exploration inquiries said in particular settings of Pakistan, India and China. This paper utilized regression, Durbin Watson test and correlation analysis to discover the answers of exploration inquiries and goals. The time of study is 21 years (From Jan 1995 to June 2015 on the bases of month to month variations) of dependent and predictor variables. It could be seen that the model is superbly fitted to the regression. In all instances of these three stock trades there is sure relationship between oil costs and stock exchange 100 index.
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