Correlation Between M Large and Floating Rate
Can any of the company-specific risk be diversified away by investing in both M Large and Floating Rate 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 M Large and Floating Rate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between M Large Cap and Floating Rate Fund, you can compare the effects of market volatilities on M Large and Floating Rate 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 M Large with a short position of Floating Rate. Check out your portfolio center. Please also check ongoing floating volatility patterns of M Large and Floating Rate.
Diversification Opportunities for M Large and Floating Rate
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MTCGX and Floating is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding M Large Cap and Floating Rate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Floating Rate and M Large 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 M Large Cap are associated (or correlated) with Floating Rate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Floating Rate has no effect on the direction of M Large i.e., M Large and Floating Rate go up and down completely randomly.
Pair Corralation between M Large and Floating Rate
Assuming the 90 days horizon M Large Cap is expected to generate 31.21 times more return on investment than Floating Rate. However, M Large is 31.21 times more volatile than Floating Rate Fund. It trades about 0.2 of its potential returns per unit of risk. Floating Rate Fund is currently generating about 0.22 per unit of risk. If you would invest 3,610 in M Large Cap on September 17, 2024 and sell it today you would earn a total of 123.00 from holding M Large Cap or generate 3.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
M Large Cap vs. Floating Rate Fund
Performance |
Timeline |
M Large Cap |
Floating Rate |
M Large and Floating Rate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with M Large and Floating Rate
The main advantage of trading using opposite M Large and Floating Rate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if M Large position performs unexpectedly, Floating Rate 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 Floating Rate will offset losses from the drop in Floating Rate's long position.M Large vs. Vanguard Total Stock | M Large vs. Vanguard 500 Index | M Large vs. Vanguard Total Stock | M Large vs. Vanguard Total Stock |
Floating Rate vs. Prudential Government Money | Floating Rate vs. General Money Market | Floating Rate vs. Money Market Obligations | Floating Rate vs. Franklin Government Money |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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