Correlation Between Merck KGaA and Goodness Growth
Can any of the company-specific risk be diversified away by investing in both Merck KGaA and Goodness Growth 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 KGaA and Goodness Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merck KGaA ADR and Goodness Growth Holdings, you can compare the effects of market volatilities on Merck KGaA and Goodness Growth 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 KGaA with a short position of Goodness Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merck KGaA and Goodness Growth.
Diversification Opportunities for Merck KGaA and Goodness Growth
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Merck and Goodness is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Merck KGaA ADR and Goodness Growth Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goodness Growth Holdings and Merck KGaA 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 KGaA ADR are associated (or correlated) with Goodness Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goodness Growth Holdings has no effect on the direction of Merck KGaA i.e., Merck KGaA and Goodness Growth go up and down completely randomly.
Pair Corralation between Merck KGaA and Goodness Growth
Assuming the 90 days horizon Merck KGaA ADR is expected to under-perform the Goodness Growth. But the pink sheet apears to be less risky and, when comparing its historical volatility, Merck KGaA ADR is 9.77 times less risky than Goodness Growth. The pink sheet trades about -0.01 of its potential returns per unit of risk. The Goodness Growth Holdings is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 35.00 in Goodness Growth Holdings on December 4, 2024 and sell it today you would earn a total of 7.00 from holding Goodness Growth Holdings or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Merck KGaA ADR vs. Goodness Growth Holdings
Performance |
Timeline |
Merck KGaA ADR |
Goodness Growth Holdings |
Merck KGaA and Goodness Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merck KGaA and Goodness Growth
The main advantage of trading using opposite Merck KGaA and Goodness Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merck KGaA position performs unexpectedly, Goodness Growth 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 Goodness Growth will offset losses from the drop in Goodness Growth's long position.Merck KGaA vs. Recruit Holdings Co | Merck KGaA vs. Fresenius SE Co | Merck KGaA vs. Straumann Holding AG | Merck KGaA vs. MERCK Kommanditgesellschaft auf |
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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 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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