Correlation Between GEAR4MUSIC (HLDGS) and BANK HANDLOWY
Can any of the company-specific risk be diversified away by investing in both GEAR4MUSIC (HLDGS) and BANK HANDLOWY 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 (HLDGS) and BANK HANDLOWY 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 BANK HANDLOWY, you can compare the effects of market volatilities on GEAR4MUSIC (HLDGS) and BANK HANDLOWY 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 (HLDGS) with a short position of BANK HANDLOWY. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEAR4MUSIC (HLDGS) and BANK HANDLOWY.
Diversification Opportunities for GEAR4MUSIC (HLDGS) and BANK HANDLOWY
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GEAR4MUSIC and BANK is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding GEAR4MUSIC LS 10 and BANK HANDLOWY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BANK HANDLOWY and GEAR4MUSIC (HLDGS) 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 BANK HANDLOWY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BANK HANDLOWY has no effect on the direction of GEAR4MUSIC (HLDGS) i.e., GEAR4MUSIC (HLDGS) and BANK HANDLOWY go up and down completely randomly.
Pair Corralation between GEAR4MUSIC (HLDGS) and BANK HANDLOWY
Assuming the 90 days horizon GEAR4MUSIC LS 10 is expected to under-perform the BANK HANDLOWY. In addition to that, GEAR4MUSIC (HLDGS) is 2.92 times more volatile than BANK HANDLOWY. It trades about -0.12 of its total potential returns per unit of risk. BANK HANDLOWY is currently generating about 0.48 per unit of volatility. If you would invest 2,090 in BANK HANDLOWY on December 22, 2024 and sell it today you would earn a total of 635.00 from holding BANK HANDLOWY or generate 30.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GEAR4MUSIC LS 10 vs. BANK HANDLOWY
Performance |
Timeline |
GEAR4MUSIC (HLDGS) |
BANK HANDLOWY |
GEAR4MUSIC (HLDGS) and BANK HANDLOWY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEAR4MUSIC (HLDGS) and BANK HANDLOWY
The main advantage of trading using opposite GEAR4MUSIC (HLDGS) and BANK HANDLOWY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEAR4MUSIC (HLDGS) position performs unexpectedly, BANK HANDLOWY 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 BANK HANDLOWY will offset losses from the drop in BANK HANDLOWY's long position.GEAR4MUSIC (HLDGS) vs. ProSiebenSat1 Media SE | GEAR4MUSIC (HLDGS) vs. ANTA Sports Products | GEAR4MUSIC (HLDGS) vs. ZINC MEDIA GR | GEAR4MUSIC (HLDGS) vs. Nanjing Panda Electronics |
BANK HANDLOWY vs. Computer And Technologies | BANK HANDLOWY vs. ATOSS SOFTWARE | BANK HANDLOWY vs. CAREER EDUCATION | BANK HANDLOWY vs. G8 EDUCATION |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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