Correlation Between Kirr Marbach and Oppenheimer Corporate
Can any of the company-specific risk be diversified away by investing in both Kirr Marbach and Oppenheimer Corporate 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 Kirr Marbach and Oppenheimer Corporate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kirr Marbach Partners and Oppenheimer Corporate Bd, you can compare the effects of market volatilities on Kirr Marbach and Oppenheimer Corporate 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 Kirr Marbach with a short position of Oppenheimer Corporate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kirr Marbach and Oppenheimer Corporate.
Diversification Opportunities for Kirr Marbach and Oppenheimer Corporate
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kirr and Oppenheimer is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Kirr Marbach Partners and Oppenheimer Corporate Bd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oppenheimer Corporate and Kirr Marbach 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 Kirr Marbach Partners are associated (or correlated) with Oppenheimer Corporate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oppenheimer Corporate has no effect on the direction of Kirr Marbach i.e., Kirr Marbach and Oppenheimer Corporate go up and down completely randomly.
Pair Corralation between Kirr Marbach and Oppenheimer Corporate
Assuming the 90 days horizon Kirr Marbach Partners is expected to generate 4.47 times more return on investment than Oppenheimer Corporate. However, Kirr Marbach is 4.47 times more volatile than Oppenheimer Corporate Bd. It trades about 0.05 of its potential returns per unit of risk. Oppenheimer Corporate Bd is currently generating about -0.03 per unit of risk. If you would invest 3,366 in Kirr Marbach Partners on October 26, 2024 and sell it today you would earn a total of 131.00 from holding Kirr Marbach Partners or generate 3.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Kirr Marbach Partners vs. Oppenheimer Corporate Bd
Performance |
Timeline |
Kirr Marbach Partners |
Oppenheimer Corporate |
Kirr Marbach and Oppenheimer Corporate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kirr Marbach and Oppenheimer Corporate
The main advantage of trading using opposite Kirr Marbach and Oppenheimer Corporate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kirr Marbach position performs unexpectedly, Oppenheimer Corporate 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 Oppenheimer Corporate will offset losses from the drop in Oppenheimer Corporate's long position.Kirr Marbach vs. Touchstone Sands Capital | Kirr Marbach vs. Madison Mid Cap | Kirr Marbach vs. Harbor Mid Cap | Kirr Marbach vs. James Small Cap |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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