Correlation Between Sitara Chemical and Soneri Bank
Can any of the company-specific risk be diversified away by investing in both Sitara Chemical and Soneri Bank 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 Sitara Chemical and Soneri Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sitara Chemical Industries and Soneri Bank, you can compare the effects of market volatilities on Sitara Chemical and Soneri Bank 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 Sitara Chemical with a short position of Soneri Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sitara Chemical and Soneri Bank.
Diversification Opportunities for Sitara Chemical and Soneri Bank
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sitara and Soneri is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Sitara Chemical Industries and Soneri Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Soneri Bank and Sitara Chemical 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 Sitara Chemical Industries are associated (or correlated) with Soneri Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Soneri Bank has no effect on the direction of Sitara Chemical i.e., Sitara Chemical and Soneri Bank go up and down completely randomly.
Pair Corralation between Sitara Chemical and Soneri Bank
Assuming the 90 days trading horizon Sitara Chemical Industries is expected to under-perform the Soneri Bank. In addition to that, Sitara Chemical is 1.54 times more volatile than Soneri Bank. It trades about -0.02 of its total potential returns per unit of risk. Soneri Bank is currently generating about 0.14 per unit of volatility. If you would invest 1,750 in Soneri Bank on November 4, 2024 and sell it today you would earn a total of 77.00 from holding Soneri Bank or generate 4.4% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 90.91% |
| Values | Daily Returns |
Sitara Chemical Industries vs. Soneri Bank
Performance |
| Timeline |
| Sitara Chemical Indu |
| Soneri Bank |
Sitara Chemical and Soneri Bank Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sitara Chemical and Soneri Bank
The main advantage of trading using opposite Sitara Chemical and Soneri Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sitara Chemical position performs unexpectedly, Soneri Bank 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 Soneri Bank will offset losses from the drop in Soneri Bank's long position.| Sitara Chemical vs. Pakistan Tobacco | Sitara Chemical vs. Data Agro | Sitara Chemical vs. Century Insurance | Sitara Chemical vs. Oil and Gas |
| Soneri Bank vs. Sitara Chemical Industries | Soneri Bank vs. Synthetic Products Enterprises | Soneri Bank vs. Pakistan Aluminium Beverage | Soneri Bank vs. IGI Life Insurance |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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