Correlation Between Bitcoin and Mfs New
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Mfs New 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 Mfs New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Mfs New Discovery, you can compare the effects of market volatilities on Bitcoin and Mfs New 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 Mfs New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Mfs New.
Diversification Opportunities for Bitcoin and Mfs New
Poor diversification
The 3 months correlation between Bitcoin and Mfs is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Mfs New Discovery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs New Discovery 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 Mfs New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs New Discovery has no effect on the direction of Bitcoin i.e., Bitcoin and Mfs New go up and down completely randomly.
Pair Corralation between Bitcoin and Mfs New
Assuming the 90 days trading horizon Bitcoin is expected to generate 2.3 times more return on investment than Mfs New. However, Bitcoin is 2.3 times more volatile than Mfs New Discovery. It trades about 0.02 of its potential returns per unit of risk. Mfs New Discovery is currently generating about -0.17 per unit of risk. If you would invest 9,665,788 in Bitcoin on October 10, 2024 and sell it today you would earn a total of 34,549 from holding Bitcoin or generate 0.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Bitcoin vs. Mfs New Discovery
Performance |
Timeline |
Bitcoin |
Mfs New Discovery |
Bitcoin and Mfs New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Mfs New
The main advantage of trading using opposite Bitcoin and Mfs New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Mfs New 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 Mfs New will offset losses from the drop in Mfs New's long position.The idea behind Bitcoin and Mfs New Discovery 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.Mfs New vs. Mfs Mid Cap | Mfs New vs. Massachusetts Investors Growth | Mfs New vs. Mfs Growth Fund | Mfs New vs. Mfs Value Fund |
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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