Correlation Between Honda and Kimberly Clark

Can any of the company-specific risk be diversified away by investing in both Honda and Kimberly Clark 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 Honda and Kimberly Clark into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Honda Motor Co and Kimberly Clark, you can compare the effects of market volatilities on Honda and Kimberly Clark 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 Honda with a short position of Kimberly Clark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Honda and Kimberly Clark.

Diversification Opportunities for Honda and Kimberly Clark

-0.04

Correlation Coefficient

Honda  Kimberly Clark

Good diversification

The 3 months correlation between Honda and Kimberly is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Honda Motor Co and Kimberly Clark in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kimberly Clark and Honda 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 Honda Motor Co are associated (or correlated) with Kimberly Clark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kimberly Clark has no effect on the direction of Honda i.e., Honda and Kimberly Clark go up and down completely randomly.

Pair Corralation between Honda and Kimberly Clark

Assuming the 90 days trading horizon Honda Motor Co is expected to under-perform the Kimberly Clark. In addition to that, Honda is 1.14 times more volatile than Kimberly Clark. It trades about -0.03 of its total potential returns per unit of risk. Kimberly Clark is currently generating about -0.02 per unit of volatility. If you would invest  81,272  in Kimberly Clark on December 29, 2024 and sell it today you would lose (2,351) from holding Kimberly Clark or give up 2.89% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.36%
Values	Daily Returns

Honda Motor Co  vs.  Kimberly Clark

Honda Motor

Risk-Adjusted Performance

Very Weak

Over the last 90 days Honda Motor Co has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Honda is not utilizing all of its potentials. The newest stock price disturbance, may contribute to short-term losses for the investors.

Kimberly Clark

Risk-Adjusted Performance

Very Weak

Over the last 90 days Kimberly Clark has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong fundamental drivers, Kimberly Clark is not utilizing all of its potentials. The newest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Honda and Kimberly Clark

The main advantage of trading using opposite Honda and Kimberly Clark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Honda position performs unexpectedly, Kimberly Clark 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 Kimberly Clark will offset losses from the drop in Kimberly Clark's long position.

The idea behind Honda Motor Co and Kimberly Clark pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.