Correlation Between Orascom Financial and Pyramisa Hotels
Can any of the company-specific risk be diversified away by investing in both Orascom Financial and Pyramisa Hotels 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 Orascom Financial and Pyramisa Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Orascom Financial Holding and Pyramisa Hotels, you can compare the effects of market volatilities on Orascom Financial and Pyramisa Hotels 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 Orascom Financial with a short position of Pyramisa Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Orascom Financial and Pyramisa Hotels.
Diversification Opportunities for Orascom Financial and Pyramisa Hotels
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Orascom and Pyramisa is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Orascom Financial Holding and Pyramisa Hotels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pyramisa Hotels and Orascom Financial 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 Orascom Financial Holding are associated (or correlated) with Pyramisa Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pyramisa Hotels has no effect on the direction of Orascom Financial i.e., Orascom Financial and Pyramisa Hotels go up and down completely randomly.
Pair Corralation between Orascom Financial and Pyramisa Hotels
Assuming the 90 days trading horizon Orascom Financial Holding is expected to generate 2.41 times more return on investment than Pyramisa Hotels. However, Orascom Financial is 2.41 times more volatile than Pyramisa Hotels. It trades about 0.09 of its potential returns per unit of risk. Pyramisa Hotels is currently generating about -0.15 per unit of risk. If you would invest 36.00 in Orascom Financial Holding on December 4, 2024 and sell it today you would earn a total of 5.00 from holding Orascom Financial Holding or generate 13.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Orascom Financial Holding vs. Pyramisa Hotels
Performance |
Timeline |
Orascom Financial Holding |
Pyramisa Hotels |
Orascom Financial and Pyramisa Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Orascom Financial and Pyramisa Hotels
The main advantage of trading using opposite Orascom Financial and Pyramisa Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Orascom Financial position performs unexpectedly, Pyramisa Hotels 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 Pyramisa Hotels will offset losses from the drop in Pyramisa Hotels' long position.Orascom Financial vs. Faisal Islamic Bank | Orascom Financial vs. Cleopatra Hospital | Orascom Financial vs. Misr National Steel | Orascom Financial vs. Egypt Aluminum |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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