Correlation Between Applied Materials and Pentair Plc
Can any of the company-specific risk be diversified away by investing in both Applied Materials and Pentair Plc 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 Applied Materials and Pentair Plc into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials and Pentair plc, you can compare the effects of market volatilities on Applied Materials and Pentair Plc 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 Applied Materials with a short position of Pentair Plc. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials and Pentair Plc.
Diversification Opportunities for Applied Materials and Pentair Plc
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Applied and Pentair is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials and Pentair plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pentair plc and Applied Materials 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 Applied Materials are associated (or correlated) with Pentair Plc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pentair plc has no effect on the direction of Applied Materials i.e., Applied Materials and Pentair Plc go up and down completely randomly.
Pair Corralation between Applied Materials and Pentair Plc
Assuming the 90 days horizon Applied Materials is expected to generate 1.88 times more return on investment than Pentair Plc. However, Applied Materials is 1.88 times more volatile than Pentair plc. It trades about -0.07 of its potential returns per unit of risk. Pentair plc is currently generating about -0.22 per unit of risk. If you would invest 16,093 in Applied Materials on December 21, 2024 and sell it today you would lose (2,129) from holding Applied Materials or give up 13.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Materials vs. Pentair plc
Performance |
Timeline |
Applied Materials |
Pentair plc |
Applied Materials and Pentair Plc Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials and Pentair Plc
The main advantage of trading using opposite Applied Materials and Pentair Plc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials position performs unexpectedly, Pentair Plc 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 Pentair Plc will offset losses from the drop in Pentair Plc's long position.Applied Materials vs. Brockhaus Capital Management | Applied Materials vs. Jupiter Fund Management | Applied Materials vs. AIR PRODCHEMICALS | Applied Materials vs. Cleanaway Waste Management |
Pentair Plc vs. Kingdee International Software | Pentair Plc vs. BROADPEAK SA EO | Pentair Plc vs. Nishi Nippon Railroad Co | Pentair Plc vs. COPLAND ROAD CAPITAL |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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