Correlation Between Dow Jones and Cambiar Smid
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Cambiar Smid 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 Cambiar Smid 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 Cambiar Smid Fund, you can compare the effects of market volatilities on Dow Jones and Cambiar Smid 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 Cambiar Smid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Cambiar Smid.
Diversification Opportunities for Dow Jones and Cambiar Smid
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dow and Cambiar is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Cambiar Smid Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cambiar Smid 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 Cambiar Smid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cambiar Smid has no effect on the direction of Dow Jones i.e., Dow Jones and Cambiar Smid go up and down completely randomly.
Pair Corralation between Dow Jones and Cambiar Smid
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.82 times more return on investment than Cambiar Smid. However, Dow Jones Industrial is 1.22 times less risky than Cambiar Smid. It trades about 0.07 of its potential returns per unit of risk. Cambiar Smid Fund is currently generating about 0.01 per unit of risk. If you would invest 3,408,604 in Dow Jones Industrial on October 22, 2024 and sell it today you would earn a total of 940,179 from holding Dow Jones Industrial or generate 27.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Dow Jones Industrial vs. Cambiar Smid Fund
Performance |
Timeline |
Dow Jones and Cambiar Smid Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Cambiar Smid Fund
Pair trading matchups for Cambiar Smid
Pair Trading with Dow Jones and Cambiar Smid
The main advantage of trading using opposite Dow Jones and Cambiar Smid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Cambiar Smid 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 Cambiar Smid will offset losses from the drop in Cambiar Smid's long position.Dow Jones vs. Nasdaq Inc | Dow Jones vs. Summit Materials | Dow Jones vs. Vulcan Materials | Dow Jones vs. Celsius Holdings |
Cambiar Smid vs. Small Cap Growth Profund | Cambiar Smid vs. Applied Finance Explorer | Cambiar Smid vs. Mutual Of America | Cambiar Smid vs. Lsv Small Cap |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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