Correlation Between HK Electric and GEAR4MUSIC
Can any of the company-specific risk be diversified away by investing in both HK Electric and GEAR4MUSIC 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 HK Electric and GEAR4MUSIC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HK Electric Investments and GEAR4MUSIC LS 10, you can compare the effects of market volatilities on HK Electric and GEAR4MUSIC 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 HK Electric with a short position of GEAR4MUSIC. Check out your portfolio center. Please also check ongoing floating volatility patterns of HK Electric and GEAR4MUSIC.
Diversification Opportunities for HK Electric and GEAR4MUSIC
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between HKT and GEAR4MUSIC is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding HK Electric Investments and GEAR4MUSIC LS 10 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GEAR4MUSIC LS 10 and HK Electric 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 HK Electric Investments are associated (or correlated) with GEAR4MUSIC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GEAR4MUSIC LS 10 has no effect on the direction of HK Electric i.e., HK Electric and GEAR4MUSIC go up and down completely randomly.
Pair Corralation between HK Electric and GEAR4MUSIC
Assuming the 90 days trading horizon HK Electric is expected to generate 30.83 times less return on investment than GEAR4MUSIC. But when comparing it to its historical volatility, HK Electric Investments is 3.22 times less risky than GEAR4MUSIC. It trades about 0.0 of its potential returns per unit of risk. GEAR4MUSIC LS 10 is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 193.00 in GEAR4MUSIC LS 10 on September 3, 2024 and sell it today you would earn a total of 2.00 from holding GEAR4MUSIC LS 10 or generate 1.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
HK Electric Investments vs. GEAR4MUSIC LS 10
Performance |
| Timeline |
| HK Electric Investments |
| GEAR4MUSIC LS 10 |
HK Electric and GEAR4MUSIC Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with HK Electric and GEAR4MUSIC
The main advantage of trading using opposite HK Electric and GEAR4MUSIC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HK Electric position performs unexpectedly, GEAR4MUSIC 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 GEAR4MUSIC will offset losses from the drop in GEAR4MUSIC's long position.| HK Electric vs. Apple Inc | HK Electric vs. Apple Inc | HK Electric vs. Apple Inc | HK Electric vs. Apple Inc |
| GEAR4MUSIC vs. Amazon Inc | GEAR4MUSIC vs. Alibaba Group Holdings | GEAR4MUSIC vs. JD Inc | GEAR4MUSIC vs. Superior Plus Corp |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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