Correlation Between Dow Jones and PENINSULA ENERG

Can any of the company-specific risk be diversified away by investing in both Dow Jones and PENINSULA ENERG 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 PENINSULA ENERG 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 PENINSULA ENERG, you can compare the effects of market volatilities on Dow Jones and PENINSULA ENERG 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 PENINSULA ENERG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and PENINSULA ENERG.

Diversification Opportunities for Dow Jones and PENINSULA ENERG

-0.4

Correlation Coefficient

Dow Jones  PENINSULA ENERG

Very good diversification

The 3 months correlation between Dow and PENINSULA is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and PENINSULA ENERG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PENINSULA ENERG 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 PENINSULA ENERG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PENINSULA ENERG has no effect on the direction of Dow Jones i.e., Dow Jones and PENINSULA ENERG go up and down completely randomly.

Pair Corralation between Dow Jones and PENINSULA ENERG

Assuming the 90 days trading horizon Dow Jones is expected to generate 18.09 times less return on investment than PENINSULA ENERG. But when comparing it to its historical volatility, Dow Jones Industrial is 6.91 times less risky than PENINSULA ENERG. It trades about 0.1 of its potential returns per unit of risk. PENINSULA ENERG is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest  71.00  in PENINSULA ENERG on October 22, 2024 and sell it today you would earn a total of  15.00  from holding PENINSULA ENERG or generate 21.13% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	84.21%
Values	Daily Returns

Dow Jones Industrial  vs.  PENINSULA ENERG

Pair Trading with Dow Jones and PENINSULA ENERG

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

The idea behind Dow Jones Industrial and PENINSULA ENERG 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.