Correlation Between SBF 120 and Invesco EQQQ

Can any of the company-specific risk be diversified away by investing in both SBF 120 and Invesco EQQQ 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 SBF 120 and Invesco EQQQ into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between SBF 120 and Invesco EQQQ NASDAQ 100, you can compare the effects of market volatilities on SBF 120 and Invesco EQQQ 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 SBF 120 with a short position of Invesco EQQQ. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBF 120 and Invesco EQQQ.

Diversification Opportunities for SBF 120 and Invesco EQQQ

-0.7

Correlation Coefficient

SBF 120  Invesco EQQQ

Excellent diversification

The 3 months correlation between SBF and Invesco is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding SBF 120 and Invesco EQQQ NASDAQ 100 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco EQQQ NASDAQ and SBF 120 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 SBF 120 are associated (or correlated) with Invesco EQQQ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco EQQQ NASDAQ has no effect on the direction of SBF 120 i.e., SBF 120 and Invesco EQQQ go up and down completely randomly.

Pair Corralation between SBF 120 and Invesco EQQQ

Assuming the 90 days trading horizon SBF 120 is expected to generate 3.75 times less return on investment than Invesco EQQQ. But when comparing it to its historical volatility, SBF 120 is 1.54 times less risky than Invesco EQQQ. It trades about 0.08 of its potential returns per unit of risk. Invesco EQQQ NASDAQ 100 is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest  48,744  in Invesco EQQQ NASDAQ 100 on September 27, 2024 and sell it today you would earn a total of  1,986  from holding Invesco EQQQ NASDAQ 100 or generate 4.07% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

SBF 120  vs.  Invesco EQQQ NASDAQ 100

Pair Trading with SBF 120 and Invesco EQQQ

The main advantage of trading using opposite SBF 120 and Invesco EQQQ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBF 120 position performs unexpectedly, Invesco EQQQ 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 Invesco EQQQ will offset losses from the drop in Invesco EQQQ's long position.

The idea behind SBF 120 and Invesco EQQQ NASDAQ 100 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.