Correlation Between Raymond James and Bitcoin Depot
Can any of the company-specific risk be diversified away by investing in both Raymond James and Bitcoin Depot 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 Raymond James and Bitcoin Depot into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Raymond James Financial and Bitcoin Depot, you can compare the effects of market volatilities on Raymond James and Bitcoin Depot 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 Raymond James with a short position of Bitcoin Depot. Check out your portfolio center. Please also check ongoing floating volatility patterns of Raymond James and Bitcoin Depot.
Diversification Opportunities for Raymond James and Bitcoin Depot
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Raymond and Bitcoin is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Raymond James Financial and Bitcoin Depot in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin Depot and Raymond James 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 Raymond James Financial are associated (or correlated) with Bitcoin Depot. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin Depot has no effect on the direction of Raymond James i.e., Raymond James and Bitcoin Depot go up and down completely randomly.
Pair Corralation between Raymond James and Bitcoin Depot
Assuming the 90 days trading horizon Raymond James is expected to generate 9.16 times less return on investment than Bitcoin Depot. But when comparing it to its historical volatility, Raymond James Financial is 45.49 times less risky than Bitcoin Depot. It trades about 0.17 of its potential returns per unit of risk. Bitcoin Depot is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 7.01 in Bitcoin Depot on December 30, 2024 and sell it today you would lose (0.40) from holding Bitcoin Depot or give up 5.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Raymond James Financial vs. Bitcoin Depot
Performance |
Timeline |
Raymond James Financial |
Bitcoin Depot |
Raymond James and Bitcoin Depot Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Raymond James and Bitcoin Depot
The main advantage of trading using opposite Raymond James and Bitcoin Depot positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Raymond James position performs unexpectedly, Bitcoin Depot 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 Bitcoin Depot will offset losses from the drop in Bitcoin Depot's long position.Raymond James vs. Washington Federal | Raymond James vs. Truist Financial | Raymond James vs. The Charles Schwab | Raymond James vs. Associated Banc Corp |
Bitcoin Depot vs. LG Display Co | Bitcoin Depot vs. Sonida Senior Living | Bitcoin Depot vs. XWELL Inc | Bitcoin Depot vs. Mattel Inc |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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