Correlation Between Columbia Real and Templeton Emerging
Can any of the company-specific risk be diversified away by investing in both Columbia Real and Templeton Emerging 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 Columbia Real and Templeton Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Real Estate and Templeton Emerging Markets, you can compare the effects of market volatilities on Columbia Real and Templeton Emerging 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 Columbia Real with a short position of Templeton Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Real and Templeton Emerging.
Diversification Opportunities for Columbia Real and Templeton Emerging
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Columbia and Templeton is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Real Estate and Templeton Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Templeton Emerging and Columbia Real 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 Columbia Real Estate are associated (or correlated) with Templeton Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Templeton Emerging has no effect on the direction of Columbia Real i.e., Columbia Real and Templeton Emerging go up and down completely randomly.
Pair Corralation between Columbia Real and Templeton Emerging
Assuming the 90 days horizon Columbia Real Estate is expected to generate 1.73 times more return on investment than Templeton Emerging. However, Columbia Real is 1.73 times more volatile than Templeton Emerging Markets. It trades about 0.1 of its potential returns per unit of risk. Templeton Emerging Markets is currently generating about -0.08 per unit of risk. If you would invest 1,117 in Columbia Real Estate on August 31, 2024 and sell it today you would earn a total of 60.00 from holding Columbia Real Estate or generate 5.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Real Estate vs. Templeton Emerging Markets
Performance |
Timeline |
Columbia Real Estate |
Templeton Emerging |
Columbia Real and Templeton Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Real and Templeton Emerging
The main advantage of trading using opposite Columbia Real and Templeton Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Real position performs unexpectedly, Templeton Emerging 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 Templeton Emerging will offset losses from the drop in Templeton Emerging's long position.Columbia Real vs. Scharf Global Opportunity | Columbia Real vs. Barings Global Floating | Columbia Real vs. Rbc Global Opportunities | Columbia Real vs. Morgan Stanley Global |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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