Correlation Between Bitcoin and Abliva AB
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Abliva AB 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 Bitcoin and Abliva AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Abliva AB, you can compare the effects of market volatilities on Bitcoin and Abliva AB 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 Bitcoin with a short position of Abliva AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Abliva AB.
Diversification Opportunities for Bitcoin and Abliva AB
Modest diversification
The 3 months correlation between Bitcoin and Abliva is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Abliva AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Abliva AB and Bitcoin 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 Bitcoin are associated (or correlated) with Abliva AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Abliva AB has no effect on the direction of Bitcoin i.e., Bitcoin and Abliva AB go up and down completely randomly.
Pair Corralation between Bitcoin and Abliva AB
Assuming the 90 days trading horizon Bitcoin is expected to under-perform the Abliva AB. But the crypto coin apears to be less risky and, when comparing its historical volatility, Bitcoin is 20.95 times less risky than Abliva AB. The crypto coin trades about -0.14 of its potential returns per unit of risk. The Abliva AB is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 14.00 in Abliva AB on October 12, 2024 and sell it today you would earn a total of 29.00 from holding Abliva AB or generate 207.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 76.19% |
Values | Daily Returns |
Bitcoin vs. Abliva AB
Performance |
Timeline |
Bitcoin |
Abliva AB |
Bitcoin and Abliva AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Abliva AB
The main advantage of trading using opposite Bitcoin and Abliva AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Abliva AB 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 Abliva AB will offset losses from the drop in Abliva AB's long position.The idea behind Bitcoin and Abliva AB 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.Abliva AB vs. Cantargia AB | Abliva AB vs. Mendus AB | Abliva AB vs. Alligator Bioscience AB | Abliva AB vs. Oncopeptides AB |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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