Correlation Between Agilysys and Wag Group

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

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

Diversification Opportunities for Agilysys and Wag Group

-0.15

Correlation Coefficient

Agilysys  Wag Group

Good diversification

The 3 months correlation between Agilysys and Wag is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Agilysys and Wag Group Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wag Group and Agilysys 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 Agilysys are associated (or correlated) with Wag Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wag Group has no effect on the direction of Agilysys i.e., Agilysys and Wag Group go up and down completely randomly.

Pair Corralation between Agilysys and Wag Group

Given the investment horizon of 90 days Agilysys is expected to under-perform the Wag Group. But the stock apears to be less risky and, when comparing its historical volatility, Agilysys is 2.01 times less risky than Wag Group. The stock trades about -0.24 of its potential returns per unit of risk. The Wag Group Co is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  23.00  in Wag Group Co on December 27, 2024 and sell it today you would lose (4.00) from holding Wag Group Co or give up 17.39% of portfolio value over 90 days.

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

Agilysys  vs.  Wag Group Co

Agilysys

Risk-Adjusted Performance

Very Weak

Over the last 90 days Agilysys has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Wag Group

Risk-Adjusted Performance

Very Weak

Over the last 90 days Wag Group Co has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable technical and fundamental indicators, Wag Group is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Agilysys and Wag Group

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

The idea behind Agilysys and Wag Group Co 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.