Correlation Between IShares China and SPDR SP
Can any of the company-specific risk be diversified away by investing in both IShares China and SPDR SP 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 SPDR SP 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 SPDR SP Communication, you can compare the effects of market volatilities on IShares China and SPDR SP 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 SPDR SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares China and SPDR SP.
Diversification Opportunities for IShares China and SPDR SP
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between IShares and SPDR is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding iShares China CNY and SPDR SP Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SP Communication 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 SPDR SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR SP Communication has no effect on the direction of IShares China i.e., IShares China and SPDR SP go up and down completely randomly.
Pair Corralation between IShares China and SPDR SP
Assuming the 90 days trading horizon IShares China is expected to generate 13.83 times less return on investment than SPDR SP. But when comparing it to its historical volatility, iShares China CNY is 3.59 times less risky than SPDR SP. It trades about 0.08 of its potential returns per unit of risk. SPDR SP Communication is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 3,420 in SPDR SP Communication on September 21, 2024 and sell it today you would earn a total of 637.00 from holding SPDR SP Communication or generate 18.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iShares China CNY vs. SPDR SP Communication
Performance |
Timeline |
iShares China CNY |
SPDR SP Communication |
IShares China and SPDR SP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares China and SPDR SP
The main advantage of trading using opposite IShares China and SPDR SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares China position performs unexpectedly, SPDR SP 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 SPDR SP will offset losses from the drop in SPDR SP's long position.IShares China vs. iShares Core MSCI | IShares China vs. iShares Core MSCI | IShares China vs. iShares MSCI World | IShares China vs. iShares MSCI EM |
SPDR SP vs. Vanguard SP 500 | SPDR SP vs. SPDR Dow Jones | SPDR SP vs. iShares Core MSCI | SPDR SP vs. iShares SP 500 |
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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