Correlation Between Soneri Bank and Crescent Star
Can any of the company-specific risk be diversified away by investing in both Soneri Bank and Crescent Star 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 Soneri Bank and Crescent Star into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Soneri Bank and Crescent Star Insurance, you can compare the effects of market volatilities on Soneri Bank and Crescent Star 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 Soneri Bank with a short position of Crescent Star. Check out your portfolio center. Please also check ongoing floating volatility patterns of Soneri Bank and Crescent Star.
Diversification Opportunities for Soneri Bank and Crescent Star
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Soneri and Crescent is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Soneri Bank and Crescent Star Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Crescent Star Insurance and Soneri Bank 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 Soneri Bank are associated (or correlated) with Crescent Star. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Crescent Star Insurance has no effect on the direction of Soneri Bank i.e., Soneri Bank and Crescent Star go up and down completely randomly.
Pair Corralation between Soneri Bank and Crescent Star
Assuming the 90 days trading horizon Soneri Bank is expected to generate 1.01 times more return on investment than Crescent Star. However, Soneri Bank is 1.01 times more volatile than Crescent Star Insurance. It trades about 0.05 of its potential returns per unit of risk. Crescent Star Insurance is currently generating about -0.04 per unit of risk. If you would invest 1,537 in Soneri Bank on December 24, 2024 and sell it today you would earn a total of 80.00 from holding Soneri Bank or generate 5.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Soneri Bank vs. Crescent Star Insurance
Performance |
Timeline |
Soneri Bank |
Crescent Star Insurance |
Soneri Bank and Crescent Star Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Soneri Bank and Crescent Star
The main advantage of trading using opposite Soneri Bank and Crescent Star positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Soneri Bank position performs unexpectedly, Crescent Star 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 Crescent Star will offset losses from the drop in Crescent Star's long position.Soneri Bank vs. ORIX Leasing Pakistan | Soneri Bank vs. MCB Investment Manag | Soneri Bank vs. Ghani Chemical Industries | Soneri Bank vs. Wah Nobel Chemicals |
Crescent Star vs. IGI Life Insurance | Crescent Star vs. Pakistan Synthetics | Crescent Star vs. Pakistan Reinsurance | Crescent Star vs. Sardar Chemical Industries |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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