Correlation Between IShares China and BMO Equal
Can any of the company-specific risk be diversified away by investing in both IShares China and BMO Equal 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 China and BMO Equal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares China and BMO Equal Weight, you can compare the effects of market volatilities on IShares China and BMO Equal 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 China with a short position of BMO Equal. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares China and BMO Equal.
Diversification Opportunities for IShares China and BMO Equal
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IShares and BMO is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding iShares China and BMO Equal Weight in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Equal Weight and IShares China 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 China are associated (or correlated) with BMO Equal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Equal Weight has no effect on the direction of IShares China i.e., IShares China and BMO Equal go up and down completely randomly.
Pair Corralation between IShares China and BMO Equal
Assuming the 90 days trading horizon iShares China is expected to generate 3.4 times more return on investment than BMO Equal. However, IShares China is 3.4 times more volatile than BMO Equal Weight. It trades about 0.12 of its potential returns per unit of risk. BMO Equal Weight is currently generating about 0.15 per unit of risk. If you would invest 1,670 in iShares China on September 4, 2024 and sell it today you would earn a total of 359.00 from holding iShares China or generate 21.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
iShares China vs. BMO Equal Weight
Performance |
Timeline |
iShares China |
BMO Equal Weight |
IShares China and BMO Equal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares China and BMO Equal
The main advantage of trading using opposite IShares China and BMO Equal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares China position performs unexpectedly, BMO Equal 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 BMO Equal will offset losses from the drop in BMO Equal's long position.IShares China vs. iShares India Index | IShares China vs. iShares MSCI Emerging | IShares China vs. BMO MSCI China | IShares China vs. iShares Global Healthcare |
BMO Equal vs. iShares SPTSX Capped | BMO Equal vs. BMO Equal Weight | BMO Equal vs. BMO Covered Call | BMO Equal vs. BMO SPTSX Equal |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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