Correlation Between Dow Jones and Kensington Dynamic
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Kensington Dynamic 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 Kensington Dynamic 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 Kensington Dynamic Growth, you can compare the effects of market volatilities on Dow Jones and Kensington Dynamic 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 Kensington Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Kensington Dynamic.
Diversification Opportunities for Dow Jones and Kensington Dynamic
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and Kensington is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Kensington Dynamic Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kensington Dynamic Growth 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 Kensington Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kensington Dynamic Growth has no effect on the direction of Dow Jones i.e., Dow Jones and Kensington Dynamic go up and down completely randomly.
Pair Corralation between Dow Jones and Kensington Dynamic
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Kensington Dynamic. In addition to that, Dow Jones is 2.14 times more volatile than Kensington Dynamic Growth. It trades about -0.21 of its total potential returns per unit of risk. Kensington Dynamic Growth is currently generating about 0.44 per unit of volatility. If you would invest 1,138 in Kensington Dynamic Growth on September 23, 2024 and sell it today you would earn a total of 37.00 from holding Kensington Dynamic Growth or generate 3.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Kensington Dynamic Growth
Performance |
Timeline |
Dow Jones and Kensington Dynamic Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Kensington Dynamic Growth
Pair trading matchups for Kensington Dynamic
Pair Trading with Dow Jones and Kensington Dynamic
The main advantage of trading using opposite Dow Jones and Kensington Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Kensington Dynamic 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 Kensington Dynamic will offset losses from the drop in Kensington Dynamic's long position.Dow Jones vs. Nok Airlines Public | Dow Jones vs. Alaska Air Group | Dow Jones vs. Universal Music Group | Dow Jones vs. Copa Holdings SA |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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