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 Canada and First Trust Lunt, 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
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between IShares and First is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding iShares MSCI Canada and First Trust Lunt in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Lunt 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 Canada 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 Lunt 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
Considering the 90-day investment horizon iShares MSCI Canada is expected to under-perform the First Trust. But the etf apears to be less risky and, when comparing its historical volatility, iShares MSCI Canada is 1.04 times less risky than First Trust. The etf trades about -0.25 of its potential returns per unit of risk. The First Trust Lunt is currently generating about -0.18 of returns per unit of risk over similar time horizon. If you would invest 3,392 in First Trust Lunt on September 20, 2024 and sell it today you would lose (123.00) from holding First Trust Lunt or give up 3.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iShares MSCI Canada vs. First Trust Lunt
Performance |
Timeline |
iShares MSCI Canada |
First Trust Lunt |
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. iShares MSCI Australia | IShares MSCI vs. iShares MSCI Germany | IShares MSCI vs. iShares MSCI United | IShares MSCI vs. iShares MSCI Switzerland |
First Trust vs. Vanguard Real Estate | First Trust vs. Vanguard Total Bond | First Trust vs. Vanguard High Dividend |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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