Correlation Between SPDR Morgan and Yunhong CTI
Can any of the company-specific risk be diversified away by investing in both SPDR Morgan and Yunhong CTI 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 SPDR Morgan and Yunhong CTI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Morgan Stanley and Yunhong CTI, you can compare the effects of market volatilities on SPDR Morgan and Yunhong CTI 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 SPDR Morgan with a short position of Yunhong CTI. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Morgan and Yunhong CTI.
Diversification Opportunities for SPDR Morgan and Yunhong CTI
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SPDR and Yunhong is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Morgan Stanley and Yunhong CTI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yunhong CTI and SPDR Morgan 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 SPDR Morgan Stanley are associated (or correlated) with Yunhong CTI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yunhong CTI has no effect on the direction of SPDR Morgan i.e., SPDR Morgan and Yunhong CTI go up and down completely randomly.
Pair Corralation between SPDR Morgan and Yunhong CTI
Given the investment horizon of 90 days SPDR Morgan is expected to generate 4.82 times less return on investment than Yunhong CTI. But when comparing it to its historical volatility, SPDR Morgan Stanley is 3.6 times less risky than Yunhong CTI. It trades about 0.06 of its potential returns per unit of risk. Yunhong CTI is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 80.00 in Yunhong CTI on January 30, 2024 and sell it today you would earn a total of 163.00 from holding Yunhong CTI or generate 203.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 70.1% |
Values | Daily Returns |
SPDR Morgan Stanley vs. Yunhong CTI
Performance |
Timeline |
SPDR Morgan Stanley |
Yunhong CTI |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
SPDR Morgan and Yunhong CTI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Morgan and Yunhong CTI
The main advantage of trading using opposite SPDR Morgan and Yunhong CTI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Morgan position performs unexpectedly, Yunhong CTI 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 Yunhong CTI will offset losses from the drop in Yunhong CTI's long position.SPDR Morgan vs. ProShares Russell Dividend | SPDR Morgan vs. ProShares SP MidCap | SPDR Morgan vs. ProShares Russell 2000 | SPDR Morgan vs. ProShares MSCI EAFE |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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