Correlation Between IShares India and IShares China
Can any of the company-specific risk be diversified away by investing in both IShares India and IShares China 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 India and IShares China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares India Index and iShares China, you can compare the effects of market volatilities on IShares India and IShares China 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 India with a short position of IShares China. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares India and IShares China.
Diversification Opportunities for IShares India and IShares China
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between IShares and IShares is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding iShares India Index and iShares China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares China and IShares India 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 India Index are associated (or correlated) with IShares China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares China has no effect on the direction of IShares India i.e., IShares India and IShares China go up and down completely randomly.
Pair Corralation between IShares India and IShares China
Assuming the 90 days trading horizon IShares India is expected to generate 25.07 times less return on investment than IShares China. But when comparing it to its historical volatility, iShares India Index is 4.41 times less risky than IShares China. It trades about 0.02 of its potential returns per unit of risk. iShares China is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,680 in iShares China on September 14, 2024 and sell it today you would earn a total of 447.00 from holding iShares China or generate 26.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
iShares India Index vs. iShares China
Performance |
Timeline |
iShares India Index |
iShares China |
IShares India and IShares China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares India and IShares China
The main advantage of trading using opposite IShares India and IShares China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares India position performs unexpectedly, IShares China 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 China will offset losses from the drop in IShares China's long position.IShares India vs. iShares China | IShares India vs. iShares MSCI Emerging | IShares India vs. iShares Global Infrastructure | IShares India vs. iShares IG Corporate |
IShares China vs. iShares India Index | IShares China vs. iShares MSCI Emerging | IShares China vs. BMO MSCI China | IShares China vs. iShares Global Healthcare |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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