Correlation Between Brera Holdings and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Brera Holdings and Dow Jones 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 Brera Holdings and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brera Holdings PLC and Dow Jones Industrial, you can compare the effects of market volatilities on Brera Holdings and Dow Jones 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 Brera Holdings with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brera Holdings and Dow Jones.
Diversification Opportunities for Brera Holdings and Dow Jones
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Brera and Dow is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Brera Holdings PLC and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Brera Holdings 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 Brera Holdings PLC are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Brera Holdings i.e., Brera Holdings and Dow Jones go up and down completely randomly.
Pair Corralation between Brera Holdings and Dow Jones
Given the investment horizon of 90 days Brera Holdings PLC is expected to under-perform the Dow Jones. In addition to that, Brera Holdings is 4.6 times more volatile than Dow Jones Industrial. It trades about -0.39 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.33 per unit of volatility. If you would invest 4,263,520 in Dow Jones Industrial on November 9, 2024 and sell it today you would earn a total of 211,243 from holding Dow Jones Industrial or generate 4.95% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Brera Holdings PLC vs. Dow Jones Industrial
Performance |
| Timeline |
Brera Holdings and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Brera Holdings PLC
Pair trading matchups for Brera Holdings
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Brera Holdings and Dow Jones
The main advantage of trading using opposite Brera Holdings and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brera Holdings position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Brera Holdings vs. Reading International B | Brera Holdings vs. Marcus | Brera Holdings vs. Reading International | Brera Holdings vs. LiveOne |
| Dow Jones vs. Douglas Emmett | Dow Jones vs. Todos Medical | Dow Jones vs. Eastern Co | Dow Jones vs. Merit Medical Systems |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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