Correlation Between IShares Corp and IShares European
Can any of the company-specific risk be diversified away by investing in both IShares Corp and IShares European 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 IShares Corp and IShares European into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Corp Bond and iShares European Property, you can compare the effects of market volatilities on IShares Corp and IShares European 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 IShares Corp with a short position of IShares European. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Corp and IShares European.
Diversification Opportunities for IShares Corp and IShares European
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IShares and IShares is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding iShares Corp Bond and iShares European Property in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares European Property and IShares Corp 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 iShares Corp Bond are associated (or correlated) with IShares European. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares European Property has no effect on the direction of IShares Corp i.e., IShares Corp and IShares European go up and down completely randomly.
Pair Corralation between IShares Corp and IShares European
Assuming the 90 days trading horizon iShares Corp Bond is expected to generate 0.12 times more return on investment than IShares European. However, iShares Corp Bond is 8.62 times less risky than IShares European. It trades about 0.3 of its potential returns per unit of risk. iShares European Property is currently generating about -0.16 per unit of risk. If you would invest 484.00 in iShares Corp Bond on September 13, 2024 and sell it today you would earn a total of 8.00 from holding iShares Corp Bond or generate 1.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iShares Corp Bond vs. iShares European Property
Performance |
Timeline |
iShares Corp Bond |
iShares European Property |
IShares Corp and IShares European Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Corp and IShares European
The main advantage of trading using opposite IShares Corp and IShares European positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Corp position performs unexpectedly, IShares European 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 IShares European will offset losses from the drop in IShares European's long position.IShares Corp vs. Baloise Holding AG | IShares Corp vs. 21Shares Polkadot ETP | IShares Corp vs. UBS ETF MSCI | IShares Corp vs. BB Biotech AG |
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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 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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