Correlation Between Chevron Corp and Applied Materials
Can any of the company-specific risk be diversified away by investing in both Chevron Corp and Applied Materials 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 Chevron Corp and Applied Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chevron Corp and Applied Materials, you can compare the effects of market volatilities on Chevron Corp and Applied Materials 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 Chevron Corp with a short position of Applied Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chevron Corp and Applied Materials.
Diversification Opportunities for Chevron Corp and Applied Materials
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chevron and Applied is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Chevron Corp and Applied Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Materials and Chevron Corp 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 Chevron Corp are associated (or correlated) with Applied Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Materials has no effect on the direction of Chevron Corp i.e., Chevron Corp and Applied Materials go up and down completely randomly.
Pair Corralation between Chevron Corp and Applied Materials
Assuming the 90 days trading horizon Chevron Corp is expected to under-perform the Applied Materials. But the stock apears to be less risky and, when comparing its historical volatility, Chevron Corp is 1.42 times less risky than Applied Materials. The stock trades about -0.47 of its potential returns per unit of risk. The Applied Materials is currently generating about -0.17 of returns per unit of risk over similar time horizon. If you would invest 357,244 in Applied Materials on September 23, 2024 and sell it today you would lose (27,944) from holding Applied Materials or give up 7.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chevron Corp vs. Applied Materials
Performance |
Timeline |
Chevron Corp |
Applied Materials |
Chevron Corp and Applied Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chevron Corp and Applied Materials
The main advantage of trading using opposite Chevron Corp and Applied Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chevron Corp position performs unexpectedly, Applied Materials 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 Applied Materials will offset losses from the drop in Applied Materials' long position.Chevron Corp vs. TotalEnergies SE | Chevron Corp vs. iShares Global Timber | Chevron Corp vs. Vanguard World | Chevron Corp vs. iShares Trust |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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