Correlation Between Avalanche and CVP

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

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

Diversification Opportunities for Avalanche and CVP

0.75

Correlation Coefficient

Avalanche  CVP

Poor diversification

The 3 months correlation between Avalanche and CVP is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Avalanche and CVP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CVP and Avalanche 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 Avalanche are associated (or correlated) with CVP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CVP has no effect on the direction of Avalanche i.e., Avalanche and CVP go up and down completely randomly.

Pair Corralation between Avalanche and CVP

Assuming the 90 days trading horizon Avalanche is expected to under-perform the CVP. But the crypto coin apears to be less risky and, when comparing its historical volatility, Avalanche is 5.26 times less risky than CVP. The crypto coin trades about -0.12 of its potential returns per unit of risk. The CVP is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  88.00  in CVP on December 30, 2024 and sell it today you would lose (81.15) from holding CVP or give up 92.22% of portfolio value over 90 days.

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

Avalanche  vs.  CVP

Avalanche

Risk-Adjusted Performance

Very Weak

Over the last 90 days Avalanche 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 fundamental 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 Avalanche shareholders.

CVP

Risk-Adjusted Performance

Very Weak

Over the last 90 days CVP 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 CVP shareholders.

Pair Trading with Avalanche and CVP

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

The idea behind Avalanche and CVP 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.