Correlation Between Dow Jones and Innate Pharma

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

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

Diversification Opportunities for Dow Jones and Innate Pharma

0.1

Correlation Coefficient

Dow Jones  Innate Pharma

Average diversification

The 3 months correlation between Dow and Innate is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Innate Pharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innate Pharma and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Innate Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Innate Pharma has no effect on the direction of Dow Jones i.e., Dow Jones and Innate Pharma go up and down completely randomly.

Pair Corralation between Dow Jones and Innate Pharma

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Innate Pharma. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 3.08 times less risky than Innate Pharma. The index trades about -0.04 of its potential returns per unit of risk. The Innate Pharma is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  194.00  in Innate Pharma on December 29, 2024 and sell it today you would lose (8.00) from holding Innate Pharma or give up 4.12% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	95.31%
Values	Daily Returns

Dow Jones Industrial  vs.  Innate Pharma

Pair Trading with Dow Jones and Innate Pharma

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

The idea behind Dow Jones Industrial and Innate Pharma 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.

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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.