Correlation Between Dow Jones and Columbia Thermostat
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Columbia Thermostat 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 Dow Jones and Columbia Thermostat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Columbia Thermostat Fund, you can compare the effects of market volatilities on Dow Jones and Columbia Thermostat 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 Dow Jones with a short position of Columbia Thermostat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Columbia Thermostat.
Diversification Opportunities for Dow Jones and Columbia Thermostat
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Dow and Columbia is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Columbia Thermostat Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Thermostat and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Columbia Thermostat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Thermostat has no effect on the direction of Dow Jones i.e., Dow Jones and Columbia Thermostat go up and down completely randomly.
Pair Corralation between Dow Jones and Columbia Thermostat
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 1.8 times more return on investment than Columbia Thermostat. However, Dow Jones is 1.8 times more volatile than Columbia Thermostat Fund. It trades about 0.09 of its potential returns per unit of risk. Columbia Thermostat Fund is currently generating about 0.1 per unit of risk. If you would invest 3,755,792 in Dow Jones Industrial on September 14, 2024 and sell it today you would earn a total of 627,014 from holding Dow Jones Industrial or generate 16.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.18% |
Values | Daily Returns |
Dow Jones Industrial vs. Columbia Thermostat Fund
Performance |
Timeline |
Dow Jones and Columbia Thermostat Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Columbia Thermostat Fund
Pair trading matchups for Columbia Thermostat
Pair Trading with Dow Jones and Columbia Thermostat
The main advantage of trading using opposite Dow Jones and Columbia Thermostat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Columbia Thermostat 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 Columbia Thermostat will offset losses from the drop in Columbia Thermostat's long position.Dow Jones vs. Hurco Companies | Dow Jones vs. Tyson Foods | Dow Jones vs. MYR Group | Dow Jones vs. Cannae Holdings |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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