Correlation Between Bitfarms and Small Pany

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

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

Diversification Opportunities for Bitfarms and Small Pany

0.6

Correlation Coefficient

Bitfarms  Small Pany

Poor diversification

The 3 months correlation between Bitfarms and Small is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Bitfarms and Small Pany Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Small Pany Growth 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 Small Pany. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Small Pany Growth has no effect on the direction of Bitfarms i.e., Bitfarms and Small Pany go up and down completely randomly.

Pair Corralation between Bitfarms and Small Pany

Given the investment horizon of 90 days Bitfarms is expected to generate 5.29 times more return on investment than Small Pany. However, Bitfarms is 5.29 times more volatile than Small Pany Growth. It trades about 0.08 of its potential returns per unit of risk. Small Pany Growth is currently generating about 0.16 per unit of risk. If you would invest  107.00  in Bitfarms on May 27, 2025 and sell it today you would earn a total of  20.00  from holding Bitfarms or generate 18.69% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.44%
Values	Daily Returns

Bitfarms  vs.  Small Pany Growth

Bitfarms

Risk-Adjusted Performance

Mild

Compared to the overall equity markets, risk-adjusted returns on investments in Bitfarms are ranked lower than 5 (%) 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.

Small Pany Growth

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Small Pany Growth are ranked lower than 12 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak fundamental indicators, Small Pany may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Pair Trading with Bitfarms and Small Pany

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

The idea behind Bitfarms and Small Pany Growth 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.