Correlation Between WGRT and PURA

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

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

Diversification Opportunities for WGRT and PURA

-0.63

Correlation Coefficient

WGRT  PURA

Excellent diversification

The 3 months correlation between WGRT and PURA is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding WGRT and PURA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PURA and WGRT 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 WGRT are associated (or correlated) with PURA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PURA has no effect on the direction of WGRT i.e., WGRT and PURA go up and down completely randomly.

Pair Corralation between WGRT and PURA

If you would invest  4.20  in PURA on February 7, 2024 and sell it today you would earn a total of  0.00  from holding PURA or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	4.55%
Values	Daily Returns

WGRT  vs.  PURA

WGRT

Risk-Adjusted Performance

23 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in WGRT are ranked lower than 23 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, WGRT exhibited solid returns over the last few months and may actually be approaching a breakup point.

PURA

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days PURA has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, PURA is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with WGRT and PURA

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

The idea behind WGRT and PURA 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.