Correlation Between Haleon Plc and Verona Pharma
Can any of the company-specific risk be diversified away by investing in both Haleon Plc and Verona Pharma 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 Haleon Plc and Verona Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Haleon plc and Verona Pharma PLC, you can compare the effects of market volatilities on Haleon Plc and Verona Pharma 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 Haleon Plc with a short position of Verona Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haleon Plc and Verona Pharma.
Diversification Opportunities for Haleon Plc and Verona Pharma
-0.81 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Haleon and Verona is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding Haleon plc and Verona Pharma PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Verona Pharma PLC and Haleon Plc 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 Haleon plc are associated (or correlated) with Verona Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Verona Pharma PLC has no effect on the direction of Haleon Plc i.e., Haleon Plc and Verona Pharma go up and down completely randomly.
Pair Corralation between Haleon Plc and Verona Pharma
Considering the 90-day investment horizon Haleon plc is expected to under-perform the Verona Pharma. But the stock apears to be less risky and, when comparing its historical volatility, Haleon plc is 3.04 times less risky than Verona Pharma. The stock trades about -0.08 of its potential returns per unit of risk. The Verona Pharma PLC is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 2,721 in Verona Pharma PLC on August 31, 2024 and sell it today you would earn a total of 1,269 from holding Verona Pharma PLC or generate 46.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Haleon plc vs. Verona Pharma PLC
Performance |
Timeline |
Haleon plc |
Verona Pharma PLC |
Haleon Plc and Verona Pharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haleon Plc and Verona Pharma
The main advantage of trading using opposite Haleon Plc and Verona Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haleon Plc position performs unexpectedly, Verona Pharma 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 Verona Pharma will offset losses from the drop in Verona Pharma's long position.Haleon Plc vs. Teva Pharma Industries | Haleon Plc vs. Bausch Health Companies | Haleon Plc vs. Zoetis Inc | Haleon Plc vs. Takeda Pharmaceutical Co |
Verona Pharma vs. Cue Biopharma | Verona Pharma vs. Eliem Therapeutics | Verona Pharma vs. Inhibrx | Verona Pharma vs. Molecular Partners AG |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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