Correlation Between IShares MSCI and PIMCO RAFI
Can any of the company-specific risk be diversified away by investing in both IShares MSCI and PIMCO RAFI 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 PIMCO RAFI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares MSCI China and PIMCO RAFI Dynamic, you can compare the effects of market volatilities on IShares MSCI and PIMCO RAFI 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 PIMCO RAFI. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares MSCI and PIMCO RAFI.
Diversification Opportunities for IShares MSCI and PIMCO RAFI
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between IShares and PIMCO is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding iShares MSCI China and PIMCO RAFI Dynamic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PIMCO RAFI Dynamic 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 China are associated (or correlated) with PIMCO RAFI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PIMCO RAFI Dynamic has no effect on the direction of IShares MSCI i.e., IShares MSCI and PIMCO RAFI go up and down completely randomly.
Pair Corralation between IShares MSCI and PIMCO RAFI
Given the investment horizon of 90 days iShares MSCI China is expected to under-perform the PIMCO RAFI. In addition to that, IShares MSCI is 2.91 times more volatile than PIMCO RAFI Dynamic. It trades about -0.1 of its total potential returns per unit of risk. PIMCO RAFI Dynamic is currently generating about 0.04 per unit of volatility. If you would invest 3,071 in PIMCO RAFI Dynamic on September 4, 2024 and sell it today you would earn a total of 20.00 from holding PIMCO RAFI Dynamic or generate 0.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
iShares MSCI China vs. PIMCO RAFI Dynamic
Performance |
Timeline |
iShares MSCI China |
PIMCO RAFI Dynamic |
IShares MSCI and PIMCO RAFI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares MSCI and PIMCO RAFI
The main advantage of trading using opposite IShares MSCI and PIMCO RAFI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares MSCI position performs unexpectedly, PIMCO RAFI 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 PIMCO RAFI will offset losses from the drop in PIMCO RAFI's long position.IShares MSCI vs. KraneShares CSI China | IShares MSCI vs. Invesco China Technology | IShares MSCI vs. iShares MSCI India | IShares MSCI vs. Xtrackers Harvest CSI |
PIMCO RAFI vs. PIMCO RAFI Dynamic | PIMCO RAFI vs. PIMCO RAFI Dynamic | PIMCO RAFI vs. JPMorgan Diversified Return | PIMCO RAFI vs. JPMorgan Diversified Return |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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