Correlation Between DSJA and FT Cboe

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

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

Diversification Opportunities for DSJA and FT Cboe

0.0

Correlation Coefficient

DSJA  FT Cboe

Pay attention - limited upside

The 3 months correlation between DSJA and DJUN is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding DSJA and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest and DSJA 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 DSJA are associated (or correlated) with FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of DSJA i.e., DSJA and FT Cboe go up and down completely randomly.

Pair Corralation between DSJA and FT Cboe

If you would invest (100.00) in DSJA on December 27, 2024 and sell it today you would earn a total of  100.00  from holding DSJA or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

DSJA  vs.  FT Cboe Vest

DSJA

Risk-Adjusted Performance

Very Weak

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

FT Cboe Vest

Risk-Adjusted Performance

Very Weak

Over the last 90 days FT Cboe Vest has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, FT Cboe is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

Pair Trading with DSJA and FT Cboe

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

The idea behind DSJA and FT Cboe Vest 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.