Correlation Between Stacks and CHR

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

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

Diversification Opportunities for Stacks and CHR

0.97

Correlation Coefficient

Stacks  CHR

Almost no diversification

The 3 months correlation between Stacks and CHR is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Stacks and CHR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHR and Stacks 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 Stacks are associated (or correlated) with CHR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHR has no effect on the direction of Stacks i.e., Stacks and CHR go up and down completely randomly.

Pair Corralation between Stacks and CHR

Assuming the 90 days trading horizon Stacks is expected to under-perform the CHR. But the crypto coin apears to be less risky and, when comparing its historical volatility, Stacks is 1.12 times less risky than CHR. The crypto coin trades about -0.2 of its potential returns per unit of risk. The CHR is currently generating about -0.17 of returns per unit of risk over similar time horizon. If you would invest  23.00  in CHR on December 30, 2024 and sell it today you would lose (13.36) from holding CHR or give up 58.09% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

Stacks  vs.  CHR

Stacks

Risk-Adjusted Performance

Very Weak

Over the last 90 days Stacks 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 basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Stacks shareholders.

CHR

Risk-Adjusted Performance

Very Weak

Over the last 90 days CHR 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 basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for CHR shareholders.

Pair Trading with Stacks and CHR

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

The idea behind Stacks and CHR 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.