Correlation Between Bitfarms and FT Cboe

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

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

Diversification Opportunities for Bitfarms and FT Cboe

0.21

Correlation Coefficient

Bitfarms  FT Cboe

Modest diversification

The 3 months correlation between Bitfarms and DAUG is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Bitfarms and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest and Bitfarms 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 Bitfarms are associated (or correlated) with FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of Bitfarms i.e., Bitfarms and FT Cboe go up and down completely randomly.

Pair Corralation between Bitfarms and FT Cboe

Given the investment horizon of 90 days Bitfarms is expected to generate 11.68 times more return on investment than FT Cboe. However, Bitfarms is 11.68 times more volatile than FT Cboe Vest. It trades about 0.08 of its potential returns per unit of risk. FT Cboe Vest is currently generating about 0.32 per unit of risk. If you would invest  103.00  in Bitfarms on May 1, 2025 and sell it today you would earn a total of  21.00  from holding Bitfarms or generate 20.39% return on investment over 90 days.

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

Bitfarms  vs.  FT Cboe Vest

Bitfarms

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Bitfarms are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, Bitfarms reported solid returns over the last few months and may actually be approaching a breakup point.

FT Cboe Vest

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 25 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak basic indicators, FT Cboe may actually be approaching a critical reversion point that can send shares even higher in August 2025.

Pair Trading with Bitfarms and FT Cboe

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

The idea behind Bitfarms and FT Cboe Vest 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.