Correlation Between Gokul Refoils and Southern Petrochemicals
Can any of the company-specific risk be diversified away by investing in both Gokul Refoils and Southern Petrochemicals at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Gokul Refoils and Southern Petrochemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gokul Refoils and and Southern Petrochemicals Industries, you can compare the effects of market volatilities on Gokul Refoils and Southern Petrochemicals and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Gokul Refoils with a short position of Southern Petrochemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gokul Refoils and Southern Petrochemicals.
Diversification Opportunities for Gokul Refoils and Southern Petrochemicals
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gokul and Southern is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Gokul Refoils and and Southern Petrochemicals Indust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Southern Petrochemicals and Gokul Refoils is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Gokul Refoils and are associated (or correlated) with Southern Petrochemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Southern Petrochemicals has no effect on the direction of Gokul Refoils i.e., Gokul Refoils and Southern Petrochemicals go up and down completely randomly.
Pair Corralation between Gokul Refoils and Southern Petrochemicals
Assuming the 90 days trading horizon Gokul Refoils and is expected to generate 1.57 times more return on investment than Southern Petrochemicals. However, Gokul Refoils is 1.57 times more volatile than Southern Petrochemicals Industries. It trades about 0.12 of its potential returns per unit of risk. Southern Petrochemicals Industries is currently generating about -0.11 per unit of risk. If you would invest 5,070 in Gokul Refoils and on September 25, 2024 and sell it today you would earn a total of 1,177 from holding Gokul Refoils and or generate 23.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gokul Refoils and vs. Southern Petrochemicals Indust
Performance |
Timeline |
Gokul Refoils |
Southern Petrochemicals |
Gokul Refoils and Southern Petrochemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gokul Refoils and Southern Petrochemicals
The main advantage of trading using opposite Gokul Refoils and Southern Petrochemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gokul Refoils position performs unexpectedly, Southern Petrochemicals can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Southern Petrochemicals will offset losses from the drop in Southern Petrochemicals' long position.Gokul Refoils vs. Reliance Industries Limited | Gokul Refoils vs. State Bank of | Gokul Refoils vs. HDFC Bank Limited | Gokul Refoils vs. Oil Natural Gas |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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