Correlation Between Blackrock International and Polen Smid
Can any of the company-specific risk be diversified away by investing in both Blackrock International and Polen 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 Blackrock International and Polen Smid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Blackrock International Index and Polen Smid, you can compare the effects of market volatilities on Blackrock International and Polen 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 Blackrock International with a short position of Polen Smid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blackrock International and Polen Smid.
Diversification Opportunities for Blackrock International and Polen Smid
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between BlackRock and Polen is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Blackrock International Index and Polen Smid in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polen Smid and Blackrock International 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 Blackrock International Index are associated (or correlated) with Polen Smid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polen Smid has no effect on the direction of Blackrock International i.e., Blackrock International and Polen Smid go up and down completely randomly.
Pair Corralation between Blackrock International and Polen Smid
Assuming the 90 days horizon Blackrock International Index is expected to generate 0.62 times more return on investment than Polen Smid. However, Blackrock International Index is 1.6 times less risky than Polen Smid. It trades about 0.1 of its potential returns per unit of risk. Polen Smid is currently generating about -0.22 per unit of risk. If you would invest 1,589 in Blackrock International Index on December 4, 2024 and sell it today you would earn a total of 72.00 from holding Blackrock International Index or generate 4.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Blackrock International Index vs. Polen Smid
Performance |
Timeline |
Blackrock International |
Polen Smid |
Blackrock International and Polen Smid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Blackrock International and Polen Smid
The main advantage of trading using opposite Blackrock International and Polen Smid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blackrock International position performs unexpectedly, Polen 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 Polen Smid will offset losses from the drop in Polen Smid's long position.Blackrock International vs. Blackrock Midcap Index | Blackrock International vs. Blackrock Small Cap | Blackrock International vs. State Street Equity | Blackrock International vs. T Rowe Price |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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