Correlation Between Oppenheimer Holdings and Magic Empire
Can any of the company-specific risk be diversified away by investing in both Oppenheimer Holdings and Magic Empire 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 Oppenheimer Holdings and Magic Empire into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oppenheimer Holdings and Magic Empire Global, you can compare the effects of market volatilities on Oppenheimer Holdings and Magic Empire 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 Oppenheimer Holdings with a short position of Magic Empire. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oppenheimer Holdings and Magic Empire.
Diversification Opportunities for Oppenheimer Holdings and Magic Empire
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Oppenheimer and Magic is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Oppenheimer Holdings and Magic Empire Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Magic Empire Global and Oppenheimer Holdings 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 Oppenheimer Holdings are associated (or correlated) with Magic Empire. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Magic Empire Global has no effect on the direction of Oppenheimer Holdings i.e., Oppenheimer Holdings and Magic Empire go up and down completely randomly.
Pair Corralation between Oppenheimer Holdings and Magic Empire
Considering the 90-day investment horizon Oppenheimer Holdings is expected to generate 0.21 times more return on investment than Magic Empire. However, Oppenheimer Holdings is 4.81 times less risky than Magic Empire. It trades about -0.06 of its potential returns per unit of risk. Magic Empire Global is currently generating about -0.04 per unit of risk. If you would invest 6,467 in Oppenheimer Holdings on December 30, 2024 and sell it today you would lose (549.00) from holding Oppenheimer Holdings or give up 8.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oppenheimer Holdings vs. Magic Empire Global
Performance |
Timeline |
Oppenheimer Holdings |
Magic Empire Global |
Oppenheimer Holdings and Magic Empire Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oppenheimer Holdings and Magic Empire
The main advantage of trading using opposite Oppenheimer Holdings and Magic Empire positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oppenheimer Holdings position performs unexpectedly, Magic Empire 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 Magic Empire will offset losses from the drop in Magic Empire's long position.Oppenheimer Holdings vs. PJT Partners | Oppenheimer Holdings vs. Houlihan Lokey | Oppenheimer Holdings vs. Stifel Financial | Oppenheimer Holdings vs. Evercore Partners |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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