Correlation Between VanEck Vectors and X Square

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

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

Diversification Opportunities for VanEck Vectors and X Square

-0.34

Correlation Coefficient

VanEck Vectors  X Square

Very good diversification

The 3 months correlation between VanEck and SQCBX is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding VanEck Vectors Moodys and X Square Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on X Square Balanced and VanEck Vectors 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 VanEck Vectors Moodys are associated (or correlated) with X Square. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of X Square Balanced has no effect on the direction of VanEck Vectors i.e., VanEck Vectors and X Square go up and down completely randomly.

Pair Corralation between VanEck Vectors and X Square

Given the investment horizon of 90 days VanEck Vectors is expected to generate 21.47 times less return on investment than X Square. But when comparing it to its historical volatility, VanEck Vectors Moodys is 1.49 times less risky than X Square. It trades about 0.01 of its potential returns per unit of risk. X Square Balanced is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest  1,279  in X Square Balanced on August 31, 2024 and sell it today you would earn a total of  88.00  from holding X Square Balanced or generate 6.88% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.44%
Values	Daily Returns

VanEck Vectors Moodys  vs.  X Square Balanced

VanEck Vectors Moodys

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in VanEck Vectors Moodys are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong fundamental drivers, VanEck Vectors is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

X Square Balanced

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in X Square Balanced are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of fairly fragile fundamental drivers, X Square may actually be approaching a critical reversion point that can send shares even higher in December 2024.

Pair Trading with VanEck Vectors and X Square

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

The idea behind VanEck Vectors Moodys and X Square Balanced 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.