Correlation Between Hon Hai and Bitmine Immersion
Can any of the company-specific risk be diversified away by investing in both Hon Hai and Bitmine Immersion 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 Hon Hai and Bitmine Immersion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hon Hai Precision and Bitmine Immersion Technologies, you can compare the effects of market volatilities on Hon Hai and Bitmine Immersion 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 Hon Hai with a short position of Bitmine Immersion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hon Hai and Bitmine Immersion.
Diversification Opportunities for Hon Hai and Bitmine Immersion
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hon and Bitmine is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Hon Hai Precision and Bitmine Immersion Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitmine Immersion and Hon Hai 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 Hon Hai Precision are associated (or correlated) with Bitmine Immersion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitmine Immersion has no effect on the direction of Hon Hai i.e., Hon Hai and Bitmine Immersion go up and down completely randomly.
Pair Corralation between Hon Hai and Bitmine Immersion
Assuming the 90 days horizon Hon Hai Precision is expected to under-perform the Bitmine Immersion. But the pink sheet apears to be less risky and, when comparing its historical volatility, Hon Hai Precision is 6.29 times less risky than Bitmine Immersion. The pink sheet trades about -0.09 of its potential returns per unit of risk. The Bitmine Immersion Technologies is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 35.00 in Bitmine Immersion Technologies on December 28, 2024 and sell it today you would earn a total of 7.00 from holding Bitmine Immersion Technologies or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hon Hai Precision vs. Bitmine Immersion Technologies
Performance |
Timeline |
Hon Hai Precision |
Bitmine Immersion |
Hon Hai and Bitmine Immersion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hon Hai and Bitmine Immersion
The main advantage of trading using opposite Hon Hai and Bitmine Immersion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hon Hai position performs unexpectedly, Bitmine Immersion 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 Bitmine Immersion will offset losses from the drop in Bitmine Immersion's long position.Hon Hai vs. AT S Austria | Hon Hai vs. alpha En | Hon Hai vs. Alps Electric Co | Hon Hai vs. Bitmine Immersion Technologies |
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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 CEOs Directory module to screen CEOs from public companies around the world.
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