Correlation Between Matthews China and KraneShares Bosera
Can any of the company-specific risk be diversified away by investing in both Matthews China and KraneShares Bosera 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 Matthews China and KraneShares Bosera into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Matthews China Discovery and KraneShares Bosera MSCI, you can compare the effects of market volatilities on Matthews China and KraneShares Bosera 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 Matthews China with a short position of KraneShares Bosera. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews China and KraneShares Bosera.
Diversification Opportunities for Matthews China and KraneShares Bosera
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Matthews and KraneShares is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Discovery and KraneShares Bosera MSCI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KraneShares Bosera MSCI and Matthews 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 Matthews China Discovery are associated (or correlated) with KraneShares Bosera. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KraneShares Bosera MSCI has no effect on the direction of Matthews China i.e., Matthews China and KraneShares Bosera go up and down completely randomly.
Pair Corralation between Matthews China and KraneShares Bosera
Given the investment horizon of 90 days Matthews China Discovery is expected to generate 1.0 times more return on investment than KraneShares Bosera. However, Matthews China is 1.0 times more volatile than KraneShares Bosera MSCI. It trades about -0.01 of its potential returns per unit of risk. KraneShares Bosera MSCI is currently generating about -0.05 per unit of risk. If you would invest 2,539 in Matthews China Discovery on October 6, 2024 and sell it today you would lose (25.00) from holding Matthews China Discovery or give up 0.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Matthews China Discovery vs. KraneShares Bosera MSCI
Performance |
Timeline |
Matthews China Discovery |
KraneShares Bosera MSCI |
Matthews China and KraneShares Bosera Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Matthews China and KraneShares Bosera
The main advantage of trading using opposite Matthews China and KraneShares Bosera positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews China position performs unexpectedly, KraneShares Bosera 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 KraneShares Bosera will offset losses from the drop in KraneShares Bosera's long position.Matthews China vs. JPMorgan Fundamental Data | Matthews China vs. Davis Select International | Matthews China vs. Dimensional ETF Trust | Matthews China vs. Principal Value ETF |
KraneShares Bosera vs. Global X MSCI | KraneShares Bosera vs. KraneShares MSCI All | KraneShares Bosera vs. Xtrackers Harvest CSI |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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