Correlation Between Marcus and 30 Year
Can any of the company-specific risk be diversified away by investing in both Marcus and 30 Year 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 Marcus and 30 Year into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marcus and 30 Year Treasury, you can compare the effects of market volatilities on Marcus and 30 Year 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 Marcus with a short position of 30 Year. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marcus and 30 Year.
Diversification Opportunities for Marcus and 30 Year
Pay attention - limited upside
The 3 months correlation between Marcus and ZBUSD is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Marcus and 30 Year Treasury in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 30 Year Treasury and Marcus 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 Marcus are associated (or correlated) with 30 Year. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 30 Year Treasury has no effect on the direction of Marcus i.e., Marcus and 30 Year go up and down completely randomly.
Pair Corralation between Marcus and 30 Year
Considering the 90-day investment horizon Marcus is expected to generate 3.19 times more return on investment than 30 Year. However, Marcus is 3.19 times more volatile than 30 Year Treasury. It trades about 0.29 of its potential returns per unit of risk. 30 Year Treasury is currently generating about 0.03 per unit of risk. If you would invest 1,049 in Marcus on August 29, 2024 and sell it today you would earn a total of 1,199 from holding Marcus or generate 114.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 97.67% |
Values | Daily Returns |
Marcus vs. 30 Year Treasury
Performance |
Timeline |
Marcus |
30 Year Treasury |
Marcus and 30 Year Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marcus and 30 Year
The main advantage of trading using opposite Marcus and 30 Year positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marcus position performs unexpectedly, 30 Year 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 30 Year will offset losses from the drop in 30 Year's long position.Marcus vs. News Corp A | Marcus vs. Liberty Media | Marcus vs. Warner Music Group | Marcus vs. Fox Corp Class |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Other Complementary Tools
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |