Correlation Between Stacks and Bitcoin Cash

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

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

Diversification Opportunities for Stacks and Bitcoin Cash

0.81

Correlation Coefficient

Stacks  Bitcoin Cash

Very poor diversification

The 3 months correlation between Stacks and Bitcoin is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Stacks and Bitcoin Cash in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin Cash 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 Bitcoin Cash. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin Cash has no effect on the direction of Stacks i.e., Stacks and Bitcoin Cash go up and down completely randomly.

Pair Corralation between Stacks and Bitcoin Cash

Assuming the 90 days trading horizon Stacks is expected to generate 1.37 times more return on investment than Bitcoin Cash. However, Stacks is 1.37 times more volatile than Bitcoin Cash. It trades about 0.16 of its potential returns per unit of risk. Bitcoin Cash is currently generating about 0.21 per unit of risk. If you would invest  142.00  in Stacks on September 1, 2024 and sell it today you would earn a total of  90.00  from holding Stacks or generate 63.38% return on investment over 90 days.

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

Stacks  vs.  Bitcoin Cash

Stacks

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Stacks are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Stacks exhibited solid returns over the last few months and may actually be approaching a breakup point.

Bitcoin Cash

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Bitcoin Cash are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical indicators, Bitcoin Cash exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Stacks and Bitcoin Cash

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

The idea behind Stacks and Bitcoin Cash 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.