Correlation Between Columbia and KraneShares MSCI
Can any of the company-specific risk be diversified away by investing in both Columbia and KraneShares MSCI 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 Columbia and KraneShares MSCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia EM Core and KraneShares MSCI Emerging, you can compare the effects of market volatilities on Columbia and KraneShares MSCI 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 Columbia with a short position of KraneShares MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia and KraneShares MSCI.
Diversification Opportunities for Columbia and KraneShares MSCI
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Columbia and KraneShares is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Columbia EM Core and KraneShares MSCI Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KraneShares MSCI Emerging and Columbia 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 Columbia EM Core are associated (or correlated) with KraneShares MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KraneShares MSCI Emerging has no effect on the direction of Columbia i.e., Columbia and KraneShares MSCI go up and down completely randomly.
Pair Corralation between Columbia and KraneShares MSCI
Given the investment horizon of 90 days Columbia EM Core is expected to under-perform the KraneShares MSCI. But the etf apears to be less risky and, when comparing its historical volatility, Columbia EM Core is 1.11 times less risky than KraneShares MSCI. The etf trades about -0.13 of its potential returns per unit of risk. The KraneShares MSCI Emerging is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest 3,015 in KraneShares MSCI Emerging on September 1, 2024 and sell it today you would lose (59.00) from holding KraneShares MSCI Emerging or give up 1.96% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia EM Core vs. KraneShares MSCI Emerging
Performance |
Timeline |
Columbia EM Core |
KraneShares MSCI Emerging |
Columbia and KraneShares MSCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia and KraneShares MSCI
The main advantage of trading using opposite Columbia and KraneShares MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia position performs unexpectedly, KraneShares MSCI 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 MSCI will offset losses from the drop in KraneShares MSCI's long position.Columbia vs. Xtrackers MSCI Emerging | Columbia vs. FlexShares Morningstar Emerging | Columbia vs. First Trust Emerging |
KraneShares MSCI vs. Xtrackers MSCI Emerging | KraneShares MSCI vs. FlexShares Morningstar Emerging | KraneShares MSCI vs. First Trust Emerging |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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