Correlation Between Applied Materials and Impax Asset
Can any of the company-specific risk be diversified away by investing in both Applied Materials and Impax Asset 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 Impax Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials and Impax Asset Management, you can compare the effects of market volatilities on Applied Materials and Impax Asset 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 Impax Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials and Impax Asset.
Diversification Opportunities for Applied Materials and Impax Asset
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Applied and Impax is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials and Impax Asset Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Impax Asset Management 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 Impax Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Impax Asset Management has no effect on the direction of Applied Materials i.e., Applied Materials and Impax Asset go up and down completely randomly.
Pair Corralation between Applied Materials and Impax Asset
Assuming the 90 days trading horizon Applied Materials is expected to generate 1.41 times less return on investment than Impax Asset. But when comparing it to its historical volatility, Applied Materials is 1.15 times less risky than Impax Asset. It trades about 0.24 of its potential returns per unit of risk. Impax Asset Management is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 13,787 in Impax Asset Management on April 23, 2025 and sell it today you would earn a total of 7,113 from holding Impax Asset Management or generate 51.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Materials vs. Impax Asset Management
Performance |
Timeline |
Applied Materials |
Impax Asset Management |
Applied Materials and Impax Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials and Impax Asset
The main advantage of trading using opposite Applied Materials and Impax Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials position performs unexpectedly, Impax Asset 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 Impax Asset will offset losses from the drop in Impax Asset's long position.Applied Materials vs. Sabre Insurance Group | Applied Materials vs. Sovereign Metals | Applied Materials vs. Adriatic Metals | Applied Materials vs. Fidelity National Information |
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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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