Correlation Between Applied Materials, and Honda
Can any of the company-specific risk be diversified away by investing in both Applied Materials, and Honda 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 Honda into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials, and Honda Motor Co, you can compare the effects of market volatilities on Applied Materials, and Honda 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 Honda. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials, and Honda.
Diversification Opportunities for Applied Materials, and Honda
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Applied and Honda is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials, and Honda Motor Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Honda Motor 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 Honda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Honda Motor has no effect on the direction of Applied Materials, i.e., Applied Materials, and Honda go up and down completely randomly.
Pair Corralation between Applied Materials, and Honda
Assuming the 90 days trading horizon Applied Materials, is expected to generate 66.93 times less return on investment than Honda. But when comparing it to its historical volatility, Applied Materials, is 1.91 times less risky than Honda. It trades about 0.0 of its potential returns per unit of risk. Honda Motor Co is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 16,016 in Honda Motor Co on October 8, 2024 and sell it today you would earn a total of 1,732 from holding Honda Motor Co or generate 10.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Materials, vs. Honda Motor Co
Performance |
Timeline |
Applied Materials, |
Honda Motor |
Applied Materials, and Honda Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials, and Honda
The main advantage of trading using opposite Applied Materials, and Honda positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials, position performs unexpectedly, Honda 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 Honda will offset losses from the drop in Honda's long position.Applied Materials, vs. ASML Holding NV | Applied Materials, vs. Energisa SA | Applied Materials, vs. BTG Pactual Logstica | Applied Materials, vs. Plano Plano Desenvolvimento |
Honda vs. Iron Mountain Incorporated | Honda vs. New Oriental Education | Honda vs. Truist Financial | Honda vs. HDFC Bank Limited |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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