Correlation Between GEAR4MUSIC and MGIC INVESTMENT
Can any of the company-specific risk be diversified away by investing in both GEAR4MUSIC and MGIC INVESTMENT 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 GEAR4MUSIC and MGIC INVESTMENT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEAR4MUSIC LS 10 and MGIC INVESTMENT, you can compare the effects of market volatilities on GEAR4MUSIC and MGIC INVESTMENT 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 GEAR4MUSIC with a short position of MGIC INVESTMENT. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEAR4MUSIC and MGIC INVESTMENT.
Diversification Opportunities for GEAR4MUSIC and MGIC INVESTMENT
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GEAR4MUSIC and MGIC is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding GEAR4MUSIC LS 10 and MGIC INVESTMENT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MGIC INVESTMENT and GEAR4MUSIC 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 GEAR4MUSIC LS 10 are associated (or correlated) with MGIC INVESTMENT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MGIC INVESTMENT has no effect on the direction of GEAR4MUSIC i.e., GEAR4MUSIC and MGIC INVESTMENT go up and down completely randomly.
Pair Corralation between GEAR4MUSIC and MGIC INVESTMENT
Assuming the 90 days horizon GEAR4MUSIC is expected to generate 4.9 times less return on investment than MGIC INVESTMENT. In addition to that, GEAR4MUSIC is 1.21 times more volatile than MGIC INVESTMENT. It trades about 0.03 of its total potential returns per unit of risk. MGIC INVESTMENT is currently generating about 0.19 per unit of volatility. If you would invest 2,307 in MGIC INVESTMENT on September 1, 2024 and sell it today you would earn a total of 173.00 from holding MGIC INVESTMENT or generate 7.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GEAR4MUSIC LS 10 vs. MGIC INVESTMENT
Performance |
Timeline |
GEAR4MUSIC LS 10 |
MGIC INVESTMENT |
GEAR4MUSIC and MGIC INVESTMENT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEAR4MUSIC and MGIC INVESTMENT
The main advantage of trading using opposite GEAR4MUSIC and MGIC INVESTMENT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEAR4MUSIC position performs unexpectedly, MGIC INVESTMENT 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 MGIC INVESTMENT will offset losses from the drop in MGIC INVESTMENT's long position.GEAR4MUSIC vs. Virtus Investment Partners | GEAR4MUSIC vs. Shenandoah Telecommunications | GEAR4MUSIC vs. ECHO INVESTMENT ZY | GEAR4MUSIC vs. Charter Communications |
MGIC INVESTMENT vs. Gold Road Resources | MGIC INVESTMENT vs. PT Global Mediacom | MGIC INVESTMENT vs. TITANIUM TRANSPORTGROUP | MGIC INVESTMENT vs. Gaztransport Technigaz SA |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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