Correlation Between Bitcoin and Federated High
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Federated High 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 Federated High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Federated High Yield, you can compare the effects of market volatilities on Bitcoin and Federated High 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 Federated High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Federated High.
Diversification Opportunities for Bitcoin and Federated High
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bitcoin and Federated is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Federated High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated High Yield 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 Federated High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated High Yield has no effect on the direction of Bitcoin i.e., Bitcoin and Federated High go up and down completely randomly.
Pair Corralation between Bitcoin and Federated High
Assuming the 90 days trading horizon Bitcoin is expected to generate 13.89 times more return on investment than Federated High. However, Bitcoin is 13.89 times more volatile than Federated High Yield. It trades about 0.22 of its potential returns per unit of risk. Federated High Yield is currently generating about 0.15 per unit of risk. If you would invest 6,701,472 in Bitcoin on October 25, 2024 and sell it today you would earn a total of 3,658,428 from holding Bitcoin or generate 54.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 93.65% |
Values | Daily Returns |
Bitcoin vs. Federated High Yield
Performance |
Timeline |
Bitcoin |
Federated High Yield |
Bitcoin and Federated High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Federated High
The main advantage of trading using opposite Bitcoin and Federated High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Federated High 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 Federated High will offset losses from the drop in Federated High's long position.The idea behind Bitcoin and Federated High Yield 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.Federated High vs. Jpmorgan High Yield | Federated High vs. Lord Abbett Short | Federated High vs. T Rowe Price | Federated High vs. Voya High Yield |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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