Correlation Between Dow Jones and Companhia
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Companhia 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 Companhia 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 Companhia de Fiacao, you can compare the effects of market volatilities on Dow Jones and Companhia 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 Companhia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Companhia.
Diversification Opportunities for Dow Jones and Companhia
Very good diversification
The 3 months correlation between Dow and Companhia is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Companhia de Fiacao in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Companhia de Fiacao 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 Companhia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Companhia de Fiacao has no effect on the direction of Dow Jones i.e., Dow Jones and Companhia go up and down completely randomly.
Pair Corralation between Dow Jones and Companhia
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Companhia. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 8.18 times less risky than Companhia. The index trades about -0.01 of its potential returns per unit of risk. The Companhia de Fiacao is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 2,200 in Companhia de Fiacao on September 14, 2024 and sell it today you would earn a total of 299.00 from holding Companhia de Fiacao or generate 13.59% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.24% |
| Values | Daily Returns |
Dow Jones Industrial vs. Companhia de Fiacao
Performance |
| Timeline |
Dow Jones and Companhia Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Companhia de Fiacao
Pair trading matchups for Companhia
Pair Trading with Dow Jones and Companhia
The main advantage of trading using opposite Dow Jones and Companhia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Companhia 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 Companhia will offset losses from the drop in Companhia's long position.| Dow Jones vs. Hurco Companies | Dow Jones vs. Tyson Foods | Dow Jones vs. MYR Group | Dow Jones vs. Cannae Holdings |
| Companhia vs. CVS Health | Companhia vs. Lloyds Banking Group | Companhia vs. Mitsubishi UFJ Financial | Companhia vs. Ameriprise Financial |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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