Correlation Between IShares MSCI and First Trust
Can any of the company-specific risk be diversified away by investing in both IShares MSCI and First Trust 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 MSCI and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares MSCI China and First Trust Switzerland, you can compare the effects of market volatilities on IShares MSCI and First Trust 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 MSCI with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares MSCI and First Trust.
Diversification Opportunities for IShares MSCI and First Trust
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between IShares and First is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding iShares MSCI China and First Trust Switzerland in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Switzerland and IShares MSCI 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 MSCI China are associated (or correlated) with First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Switzerland has no effect on the direction of IShares MSCI i.e., IShares MSCI and First Trust go up and down completely randomly.
Pair Corralation between IShares MSCI and First Trust
Given the investment horizon of 90 days iShares MSCI China is expected to under-perform the First Trust. In addition to that, IShares MSCI is 2.65 times more volatile than First Trust Switzerland. It trades about -0.18 of its total potential returns per unit of risk. First Trust Switzerland is currently generating about -0.36 per unit of volatility. If you would invest 6,938 in First Trust Switzerland on August 28, 2024 and sell it today you would lose (423.00) from holding First Trust Switzerland or give up 6.1% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
iShares MSCI China vs. First Trust Switzerland
Performance |
| Timeline |
| iShares MSCI China |
| First Trust Switzerland |
IShares MSCI and First Trust Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IShares MSCI and First Trust
The main advantage of trading using opposite IShares MSCI and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares MSCI position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.| IShares MSCI vs. KraneShares CSI China | IShares MSCI vs. Invesco China Technology | IShares MSCI vs. iShares MSCI India | IShares MSCI vs. Xtrackers Harvest CSI |
| First Trust vs. iShares MSCI Hong | First Trust vs. HUMANA INC | First Trust vs. SCOR PK | First Trust vs. Aquagold International |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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