Correlation Between Merck and HEWLETT
Specify exactly 2 symbols:
By analyzing existing cross correlation between Merck Company and HEWLETT PACKARD 6, you can compare the effects of market volatilities on Merck and HEWLETT 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 HEWLETT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merck and HEWLETT.
Diversification Opportunities for Merck and HEWLETT
Good diversification
The 3 months correlation between Merck and HEWLETT is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Merck Company and HEWLETT PACKARD 6 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HEWLETT PACKARD 6 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 HEWLETT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HEWLETT PACKARD 6 has no effect on the direction of Merck i.e., Merck and HEWLETT go up and down completely randomly.
Pair Corralation between Merck and HEWLETT
Considering the 90-day investment horizon Merck Company is expected to under-perform the HEWLETT. In addition to that, Merck is 1.82 times more volatile than HEWLETT PACKARD 6. It trades about -0.07 of its total potential returns per unit of risk. HEWLETT PACKARD 6 is currently generating about 0.09 per unit of volatility. If you would invest 9,995 in HEWLETT PACKARD 6 on December 30, 2024 and sell it today you would earn a total of 517.00 from holding HEWLETT PACKARD 6 or generate 5.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Merck Company vs. HEWLETT PACKARD 6
Performance |
Timeline |
Merck Company |
HEWLETT PACKARD 6 |
Merck and HEWLETT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merck and HEWLETT
The main advantage of trading using opposite Merck and HEWLETT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merck position performs unexpectedly, HEWLETT 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 HEWLETT will offset losses from the drop in HEWLETT's long position.The idea behind Merck Company and HEWLETT PACKARD 6 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.HEWLETT vs. Molecular Partners AG | HEWLETT vs. Scandinavian Tobacco Group | HEWLETT vs. Turning Point Brands | HEWLETT vs. Anheuser Busch Inbev |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
Other Complementary Tools
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |