Correlation Between Al Tawfeek and General Silos
Can any of the company-specific risk be diversified away by investing in both Al Tawfeek and General Silos 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 Al Tawfeek and General Silos into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Al Tawfeek Leasing and General Silos Storage, you can compare the effects of market volatilities on Al Tawfeek and General Silos 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 Al Tawfeek with a short position of General Silos. Check out your portfolio center. Please also check ongoing floating volatility patterns of Al Tawfeek and General Silos.
Diversification Opportunities for Al Tawfeek and General Silos
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ATLC and General is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Al Tawfeek Leasing and General Silos Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Silos Storage and Al Tawfeek 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 Al Tawfeek Leasing are associated (or correlated) with General Silos. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Silos Storage has no effect on the direction of Al Tawfeek i.e., Al Tawfeek and General Silos go up and down completely randomly.
Pair Corralation between Al Tawfeek and General Silos
Assuming the 90 days trading horizon Al Tawfeek Leasing is expected to generate 0.49 times more return on investment than General Silos. However, Al Tawfeek Leasing is 2.04 times less risky than General Silos. It trades about 0.29 of its potential returns per unit of risk. General Silos Storage is currently generating about -0.21 per unit of risk. If you would invest 417.00 in Al Tawfeek Leasing on September 5, 2024 and sell it today you would earn a total of 50.00 from holding Al Tawfeek Leasing or generate 11.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Al Tawfeek Leasing vs. General Silos Storage
Performance |
Timeline |
Al Tawfeek Leasing |
General Silos Storage |
Al Tawfeek and General Silos Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Al Tawfeek and General Silos
The main advantage of trading using opposite Al Tawfeek and General Silos positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Al Tawfeek position performs unexpectedly, General Silos 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 General Silos will offset losses from the drop in General Silos' long position.Al Tawfeek vs. Misr Oils Soap | Al Tawfeek vs. Global Telecom Holding | Al Tawfeek vs. Qatar Natl Bank | Al Tawfeek vs. Orascom Construction PLC |
General Silos vs. Misr Oils Soap | General Silos vs. Global Telecom Holding | General Silos vs. Qatar Natl Bank | General Silos vs. Orascom Construction PLC |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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