Correlation Between Merck and Sharing Services
Can any of the company-specific risk be diversified away by investing in both Merck and Sharing Services 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 Sharing Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merck Company and Sharing Services Global, you can compare the effects of market volatilities on Merck and Sharing Services 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 Sharing Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merck and Sharing Services.
Diversification Opportunities for Merck and Sharing Services
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Merck and Sharing is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Merck Company and Sharing Services Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sharing Services Global 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 Sharing Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sharing Services Global has no effect on the direction of Merck i.e., Merck and Sharing Services go up and down completely randomly.
Pair Corralation between Merck and Sharing Services
Considering the 90-day investment horizon Merck Company is expected to generate 0.18 times more return on investment than Sharing Services. However, Merck Company is 5.44 times less risky than Sharing Services. It trades about -0.12 of its potential returns per unit of risk. Sharing Services Global is currently generating about -0.27 per unit of risk. If you would invest 9,745 in Merck Company on November 29, 2024 and sell it today you would lose (687.00) from holding Merck Company or give up 7.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Merck Company vs. Sharing Services Global
Performance |
Timeline |
Merck Company |
Sharing Services Global |
Merck and Sharing Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merck and Sharing Services
The main advantage of trading using opposite Merck and Sharing Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merck position performs unexpectedly, Sharing Services 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 Sharing Services will offset losses from the drop in Sharing Services' long position.The idea behind Merck Company and Sharing Services Global pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Sharing Services vs. Bridgford Foods | Sharing Services vs. J J Snack | Sharing Services vs. Central Garden Pet | Sharing Services vs. Central Garden Pet |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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