Correlation Between Bitcoin and Lifco AB
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Lifco 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 Lifco AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Lifco AB, you can compare the effects of market volatilities on Bitcoin and Lifco 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 Lifco AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Lifco AB.
Diversification Opportunities for Bitcoin and Lifco AB
Very good diversification
The 3 months correlation between Bitcoin and Lifco is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Lifco AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lifco 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 Lifco AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lifco AB has no effect on the direction of Bitcoin i.e., Bitcoin and Lifco AB go up and down completely randomly.
Pair Corralation between Bitcoin and Lifco AB
Assuming the 90 days trading horizon Bitcoin is expected to generate 1.55 times less return on investment than Lifco AB. But when comparing it to its historical volatility, Bitcoin is 2.84 times less risky than Lifco AB. It trades about 0.26 of its potential returns per unit of risk. Lifco AB is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1,448 in Lifco AB on October 27, 2024 and sell it today you would earn a total of 202.00 from holding Lifco AB or generate 13.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Bitcoin vs. Lifco AB
Performance |
Timeline |
Bitcoin |
Lifco AB |
Bitcoin and Lifco AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Lifco AB
The main advantage of trading using opposite Bitcoin and Lifco AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Lifco 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 Lifco AB will offset losses from the drop in Lifco AB's long position.The idea behind Bitcoin and Lifco 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.Lifco AB vs. TRI Pointe Homes | Lifco AB vs. Franklin Street Properties | Lifco AB vs. Southern Home Medicl | Lifco AB vs. Vulcan Materials |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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