Correlation Between IShares China and Vanguard USD
Can any of the company-specific risk be diversified away by investing in both IShares China and Vanguard USD 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 Vanguard USD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares China CNY and Vanguard USD Treasury, you can compare the effects of market volatilities on IShares China and Vanguard USD 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 Vanguard USD. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares China and Vanguard USD.
Diversification Opportunities for IShares China and Vanguard USD
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IShares and Vanguard is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding iShares China CNY and Vanguard USD Treasury in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard USD Treasury 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 CNY are associated (or correlated) with Vanguard USD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard USD Treasury has no effect on the direction of IShares China i.e., IShares China and Vanguard USD go up and down completely randomly.
Pair Corralation between IShares China and Vanguard USD
Assuming the 90 days trading horizon IShares China is expected to generate 2.03 times less return on investment than Vanguard USD. But when comparing it to its historical volatility, iShares China CNY is 1.94 times less risky than Vanguard USD. It trades about 0.16 of its potential returns per unit of risk. Vanguard USD Treasury is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 1,989 in Vanguard USD Treasury on September 4, 2024 and sell it today you would earn a total of 80.00 from holding Vanguard USD Treasury or generate 4.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
iShares China CNY vs. Vanguard USD Treasury
Performance |
Timeline |
iShares China CNY |
Vanguard USD Treasury |
IShares China and Vanguard USD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares China and Vanguard USD
The main advantage of trading using opposite IShares China and Vanguard USD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares China position performs unexpectedly, Vanguard USD 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 Vanguard USD will offset losses from the drop in Vanguard USD's long position.IShares China vs. iShares III Public | IShares China vs. iShares Core MSCI | IShares China vs. iShares France Govt | IShares China vs. iShares Edge MSCI |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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