Correlation Between Albemarle and Codexis

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

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

Diversification Opportunities for Albemarle and Codexis

0.8

Correlation Coefficient

Albemarle  Codexis

Very poor diversification

The 3 months correlation between Albemarle and Codexis is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Albemarle and Codexis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Codexis and Albemarle 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 Albemarle are associated (or correlated) with Codexis. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Codexis has no effect on the direction of Albemarle i.e., Albemarle and Codexis go up and down completely randomly.

Pair Corralation between Albemarle and Codexis

Assuming the 90 days trading horizon Albemarle is expected to generate 0.41 times more return on investment than Codexis. However, Albemarle is 2.44 times less risky than Codexis. It trades about -0.05 of its potential returns per unit of risk. Codexis is currently generating about -0.13 per unit of risk. If you would invest  4,123  in Albemarle on December 24, 2024 and sell it today you would lose (318.00) from holding Albemarle or give up 7.71% of portfolio value over 90 days.

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

Albemarle  vs.  Codexis

Albemarle

Risk-Adjusted Performance

Very Weak

Over the last 90 days Albemarle has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest inconsistent performance, the Stock's fundamental drivers remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Codexis

Risk-Adjusted Performance

Very Weak

Over the last 90 days Codexis has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Pair Trading with Albemarle and Codexis

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

The idea behind Albemarle and Codexis 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.