Correlation Between Merck and Tungray Technologies
Can any of the company-specific risk be diversified away by investing in both Merck and Tungray Technologies 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 Tungray Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merck Company and Tungray Technologies Class, you can compare the effects of market volatilities on Merck and Tungray Technologies 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 Tungray Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merck and Tungray Technologies.
Diversification Opportunities for Merck and Tungray Technologies
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Merck and Tungray is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Merck Company and Tungray Technologies Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tungray Technologies 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 Tungray Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tungray Technologies has no effect on the direction of Merck i.e., Merck and Tungray Technologies go up and down completely randomly.
Pair Corralation between Merck and Tungray Technologies
Considering the 90-day investment horizon Merck Company is expected to generate 0.15 times more return on investment than Tungray Technologies. However, Merck Company is 6.85 times less risky than Tungray Technologies. It trades about 0.0 of its potential returns per unit of risk. Tungray Technologies Class is currently generating about 0.0 per unit of risk. If you would invest 10,329 in Merck Company on August 27, 2024 and sell it today you would lose (411.00) from holding Merck Company or give up 3.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 31.25% |
Values | Daily Returns |
Merck Company vs. Tungray Technologies Class
Performance |
Timeline |
Merck Company |
Tungray Technologies |
Merck and Tungray Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merck and Tungray Technologies
The main advantage of trading using opposite Merck and Tungray Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merck position performs unexpectedly, Tungray Technologies 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 Tungray Technologies will offset losses from the drop in Tungray Technologies' long position.Merck vs. Capricor Therapeutics | Merck vs. Soleno Therapeutics | Merck vs. Bio Path Holdings | Merck vs. Moleculin Biotech |
Tungray Technologies vs. Aerofoam Metals | Tungray Technologies vs. Arrow Electronics | Tungray Technologies vs. Amkor Technology | Tungray Technologies vs. Uber Technologies |
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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