Correlation Between Columbia Global and Putnam Asia
Can any of the company-specific risk be diversified away by investing in both Columbia Global and Putnam Asia 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 Global and Putnam Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Global Technology and Putnam Asia Pacific, you can compare the effects of market volatilities on Columbia Global and Putnam Asia 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 Global with a short position of Putnam Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Global and Putnam Asia.
Diversification Opportunities for Columbia Global and Putnam Asia
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Columbia and Putnam is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Global Technology and Putnam Asia Pacific in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Asia Pacific and Columbia Global 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 Global Technology are associated (or correlated) with Putnam Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Asia Pacific has no effect on the direction of Columbia Global i.e., Columbia Global and Putnam Asia go up and down completely randomly.
Pair Corralation between Columbia Global and Putnam Asia
Assuming the 90 days horizon Columbia Global Technology is expected to generate 3.81 times more return on investment than Putnam Asia. However, Columbia Global is 3.81 times more volatile than Putnam Asia Pacific. It trades about 0.04 of its potential returns per unit of risk. Putnam Asia Pacific is currently generating about -0.04 per unit of risk. If you would invest 9,122 in Columbia Global Technology on September 29, 2024 and sell it today you would earn a total of 513.00 from holding Columbia Global Technology or generate 5.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.21% |
Values | Daily Returns |
Columbia Global Technology vs. Putnam Asia Pacific
Performance |
Timeline |
Columbia Global Tech |
Putnam Asia Pacific |
Columbia Global and Putnam Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Global and Putnam Asia
The main advantage of trading using opposite Columbia Global and Putnam Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Global position performs unexpectedly, Putnam Asia 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 Putnam Asia will offset losses from the drop in Putnam Asia's long position.Columbia Global vs. Columbia Global Technology | Columbia Global vs. Columbia Global Technology | Columbia Global vs. Columbia Global Technology | Columbia Global vs. Aquagold International |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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