Correlation Between Merck and Shanghai Electric
Can any of the company-specific risk be diversified away by investing in both Merck and Shanghai Electric 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 Merck and Shanghai Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merck Company and Shanghai Electric Group, you can compare the effects of market volatilities on Merck and Shanghai Electric 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 Merck with a short position of Shanghai Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merck and Shanghai Electric.
Diversification Opportunities for Merck and Shanghai Electric
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Merck and Shanghai is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Merck Company and Shanghai Electric Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Electric and Merck 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 Merck Company are associated (or correlated) with Shanghai Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Electric has no effect on the direction of Merck i.e., Merck and Shanghai Electric go up and down completely randomly.
Pair Corralation between Merck and Shanghai Electric
Considering the 90-day investment horizon Merck Company is expected to under-perform the Shanghai Electric. But the stock apears to be less risky and, when comparing its historical volatility, Merck Company is 1.95 times less risky than Shanghai Electric. The stock trades about -0.07 of its potential returns per unit of risk. The Shanghai Electric Group is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 780.00 in Shanghai Electric Group on December 29, 2024 and sell it today you would lose (65.00) from holding Shanghai Electric Group or give up 8.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.31% |
Values | Daily Returns |
Merck Company vs. Shanghai Electric Group
Performance |
Timeline |
Merck Company |
Shanghai Electric |
Merck and Shanghai Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merck and Shanghai Electric
The main advantage of trading using opposite Merck and Shanghai Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merck position performs unexpectedly, Shanghai Electric 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 Shanghai Electric will offset losses from the drop in Shanghai Electric's long position.Merck vs. Emergent Biosolutions | Merck vs. Bausch Health Companies | Merck vs. Neurocrine Biosciences | Merck vs. Teva Pharma Industries |
Shanghai Electric vs. Xinjiang Goldwind Science | Shanghai Electric vs. American Superconductor | Shanghai Electric vs. Cummins |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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