Correlation Between Philip Morris and Small Cap
Can any of the company-specific risk be diversified away by investing in both Philip Morris and Small Cap 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 Philip Morris and Small Cap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Philip Morris International and Small Cap Premium, you can compare the effects of market volatilities on Philip Morris and Small Cap 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 Philip Morris with a short position of Small Cap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Philip Morris and Small Cap.
Diversification Opportunities for Philip Morris and Small Cap
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Philip and Small is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Philip Morris International and Small Cap Premium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Small Cap Premium and Philip Morris 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 Philip Morris International are associated (or correlated) with Small Cap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Small Cap Premium has no effect on the direction of Philip Morris i.e., Philip Morris and Small Cap go up and down completely randomly.
Pair Corralation between Philip Morris and Small Cap
Allowing for the 90-day total investment horizon Philip Morris International is expected to generate 5.14 times more return on investment than Small Cap. However, Philip Morris is 5.14 times more volatile than Small Cap Premium. It trades about 0.22 of its potential returns per unit of risk. Small Cap Premium is currently generating about 0.09 per unit of risk. If you would invest 12,050 in Philip Morris International on December 24, 2024 and sell it today you would earn a total of 3,098 from holding Philip Morris International or generate 25.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Philip Morris International vs. Small Cap Premium
Performance |
Timeline |
Philip Morris Intern |
Small Cap Premium |
Philip Morris and Small Cap Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Philip Morris and Small Cap
The main advantage of trading using opposite Philip Morris and Small Cap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Philip Morris position performs unexpectedly, Small Cap 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 Small Cap will offset losses from the drop in Small Cap's long position.Philip Morris vs. British American Tobacco | Philip Morris vs. Universal | Philip Morris vs. Imperial Brands PLC | Philip Morris vs. Altria Group |
Small Cap vs. RiverNorth Specialty Finance | Small Cap vs. Royce Micro Cap | Small Cap vs. First Trust Enhanced | Small Cap vs. Voya Global Advantage |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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