Correlation Between WAB and Kusama

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

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

Diversification Opportunities for WAB and Kusama

0.0

Correlation Coefficient

WAB  Kusama

Pay attention - limited upside

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

Pair Corralation between WAB and Kusama

If you would invest (100.00) in WAB on November 27, 2024 and sell it today you would earn a total of  100.00  from holding WAB 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

WAB  vs.  Kusama

WAB

Risk-Adjusted Performance

Very Weak

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

Kusama

Risk-Adjusted Performance

Very Weak

Over the last 90 days Kusama has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's primary indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for Kusama shareholders.

Pair Trading with WAB and Kusama

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

The idea behind WAB and Kusama 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.