Correlation Between HK Electric and SIVERS SEMICONDUCTORS
Can any of the company-specific risk be diversified away by investing in both HK Electric and SIVERS SEMICONDUCTORS 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 SIVERS SEMICONDUCTORS 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 SIVERS SEMICONDUCTORS AB, you can compare the effects of market volatilities on HK Electric and SIVERS SEMICONDUCTORS 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 SIVERS SEMICONDUCTORS. Check out your portfolio center. Please also check ongoing floating volatility patterns of HK Electric and SIVERS SEMICONDUCTORS.
Diversification Opportunities for HK Electric and SIVERS SEMICONDUCTORS
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between HKT and SIVERS is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding HK Electric Investments and SIVERS SEMICONDUCTORS AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SIVERS SEMICONDUCTORS 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 SIVERS SEMICONDUCTORS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SIVERS SEMICONDUCTORS has no effect on the direction of HK Electric i.e., HK Electric and SIVERS SEMICONDUCTORS go up and down completely randomly.
Pair Corralation between HK Electric and SIVERS SEMICONDUCTORS
Assuming the 90 days trading horizon HK Electric Investments is expected to generate 0.6 times more return on investment than SIVERS SEMICONDUCTORS. However, HK Electric Investments is 1.66 times less risky than SIVERS SEMICONDUCTORS. It trades about 0.1 of its potential returns per unit of risk. SIVERS SEMICONDUCTORS AB is currently generating about 0.01 per unit of risk. If you would invest 17.00 in HK Electric Investments on October 13, 2024 and sell it today you would earn a total of 48.00 from holding HK Electric Investments or generate 282.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
HK Electric Investments vs. SIVERS SEMICONDUCTORS AB
Performance |
Timeline |
HK Electric Investments |
SIVERS SEMICONDUCTORS |
HK Electric and SIVERS SEMICONDUCTORS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HK Electric and SIVERS SEMICONDUCTORS
The main advantage of trading using opposite HK Electric and SIVERS SEMICONDUCTORS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HK Electric position performs unexpectedly, SIVERS SEMICONDUCTORS 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 SIVERS SEMICONDUCTORS will offset losses from the drop in SIVERS SEMICONDUCTORS's long position.HK Electric vs. PKSHA TECHNOLOGY INC | HK Electric vs. Amkor Technology | HK Electric vs. Agilent Technologies | HK Electric vs. Minerals Technologies |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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