Correlation Between Bitfarms and Applied Blockchain
Can any of the company-specific risk be diversified away by investing in both Bitfarms and Applied Blockchain 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 Applied Blockchain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitfarms and Applied Blockchain, you can compare the effects of market volatilities on Bitfarms and Applied Blockchain 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 Applied Blockchain. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitfarms and Applied Blockchain.
Diversification Opportunities for Bitfarms and Applied Blockchain
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bitfarms and Applied is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Bitfarms and Applied Blockchain in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Blockchain 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 Applied Blockchain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Blockchain has no effect on the direction of Bitfarms i.e., Bitfarms and Applied Blockchain go up and down completely randomly.
Pair Corralation between Bitfarms and Applied Blockchain
Given the investment horizon of 90 days Bitfarms is expected to generate 1.13 times less return on investment than Applied Blockchain. In addition to that, Bitfarms is 1.2 times more volatile than Applied Blockchain. It trades about 0.07 of its total potential returns per unit of risk. Applied Blockchain is currently generating about 0.1 per unit of volatility. If you would invest 861.00 in Applied Blockchain on August 24, 2024 and sell it today you would earn a total of 100.00 from holding Applied Blockchain or generate 11.61% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bitfarms vs. Applied Blockchain
Performance |
| Timeline |
| Bitfarms |
| Applied Blockchain |
Bitfarms and Applied Blockchain Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bitfarms and Applied Blockchain
The main advantage of trading using opposite Bitfarms and Applied Blockchain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitfarms position performs unexpectedly, Applied Blockchain 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 Applied Blockchain will offset losses from the drop in Applied Blockchain's long position.| Bitfarms vs. HIVE Blockchain Technologies | Bitfarms vs. CleanSpark | Bitfarms vs. Marathon Digital Holdings | Bitfarms vs. Riot Blockchain |
| Applied Blockchain vs. Magic Empire Global | Applied Blockchain vs. Zhong Yang Financial | Applied Blockchain vs. Netcapital | Applied Blockchain vs. Lazard |
Check out your portfolio center.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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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