Correlation Between Merck and PGIM Large
Can any of the company-specific risk be diversified away by investing in both Merck and PGIM Large 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 PGIM Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merck Company and PGIM Large Cap Buffer, you can compare the effects of market volatilities on Merck and PGIM Large 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 PGIM Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merck and PGIM Large.
Diversification Opportunities for Merck and PGIM Large
-0.83 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Merck and PGIM is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding Merck Company and PGIM Large Cap Buffer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PGIM Large Cap 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 PGIM Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PGIM Large Cap has no effect on the direction of Merck i.e., Merck and PGIM Large go up and down completely randomly.
Pair Corralation between Merck and PGIM Large
Considering the 90-day investment horizon Merck Company is expected to under-perform the PGIM Large. In addition to that, Merck is 4.34 times more volatile than PGIM Large Cap Buffer. It trades about -0.04 of its total potential returns per unit of risk. PGIM Large Cap Buffer is currently generating about 0.42 per unit of volatility. If you would invest 2,628 in PGIM Large Cap Buffer on September 3, 2024 and sell it today you would earn a total of 69.00 from holding PGIM Large Cap Buffer or generate 2.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Merck Company vs. PGIM Large Cap Buffer
Performance |
Timeline |
Merck Company |
PGIM Large Cap |
Merck and PGIM Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merck and PGIM Large
The main advantage of trading using opposite Merck and PGIM Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merck position performs unexpectedly, PGIM Large 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 PGIM Large will offset losses from the drop in PGIM Large's long position.Merck vs. Pfizer Inc | Merck vs. Johnson Johnson | Merck vs. Highway Holdings Limited | Merck vs. QCR Holdings |
PGIM Large vs. Innovator ETFs Trust | PGIM Large vs. First Trust Cboe | PGIM Large vs. FT Cboe Vest | PGIM Large vs. Innovator SP 500 |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Other Complementary Tools
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |