Correlation Between Brandes Small and Brandes Core
Can any of the company-specific risk be diversified away by investing in both Brandes Small and Brandes Core 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 Brandes Small and Brandes Core into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brandes Small Cap and Brandes E Plus, you can compare the effects of market volatilities on Brandes Small and Brandes Core 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 Brandes Small with a short position of Brandes Core. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brandes Small and Brandes Core.
Diversification Opportunities for Brandes Small and Brandes Core
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Brandes and Brandes is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Brandes Small Cap and Brandes E Plus in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brandes E Plus and Brandes Small 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 Brandes Small Cap are associated (or correlated) with Brandes Core. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brandes E Plus has no effect on the direction of Brandes Small i.e., Brandes Small and Brandes Core go up and down completely randomly.
Pair Corralation between Brandes Small and Brandes Core
Assuming the 90 days horizon Brandes Small Cap is expected to generate 4.13 times more return on investment than Brandes Core. However, Brandes Small is 4.13 times more volatile than Brandes E Plus. It trades about 0.11 of its potential returns per unit of risk. Brandes E Plus is currently generating about -0.06 per unit of risk. If you would invest 1,483 in Brandes Small Cap on November 2, 2024 and sell it today you would earn a total of 175.00 from holding Brandes Small Cap or generate 11.8% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 99.04% |
| Values | Daily Returns |
Brandes Small Cap vs. Brandes E Plus
Performance |
| Timeline |
| Brandes Small Cap |
| Brandes E Plus |
Brandes Small and Brandes Core Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Brandes Small and Brandes Core
The main advantage of trading using opposite Brandes Small and Brandes Core positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brandes Small position performs unexpectedly, Brandes Core 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 Brandes Core will offset losses from the drop in Brandes Core's long position.| Brandes Small vs. Brandes Small Cap | Brandes Small vs. Brandes Small Cap | Brandes Small vs. Brandes E Plus | Brandes Small vs. Brandes E Plus |
| Brandes Core vs. Smead Value Fund | Brandes Core vs. Dodge Cox Stock | Brandes Core vs. Guidemark Large Cap | Brandes Core vs. Qs Large 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 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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