Correlation Between HK Electric and CARDINAL HEALTH
Can any of the company-specific risk be diversified away by investing in both HK Electric and CARDINAL HEALTH 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 CARDINAL HEALTH 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 CARDINAL HEALTH, you can compare the effects of market volatilities on HK Electric and CARDINAL HEALTH 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 CARDINAL HEALTH. Check out your portfolio center. Please also check ongoing floating volatility patterns of HK Electric and CARDINAL HEALTH.
Diversification Opportunities for HK Electric and CARDINAL HEALTH
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between HKT and CARDINAL is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding HK Electric Investments and CARDINAL HEALTH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CARDINAL HEALTH 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 CARDINAL HEALTH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CARDINAL HEALTH has no effect on the direction of HK Electric i.e., HK Electric and CARDINAL HEALTH go up and down completely randomly.
Pair Corralation between HK Electric and CARDINAL HEALTH
Assuming the 90 days trading horizon HK Electric is expected to generate 44.14 times less return on investment than CARDINAL HEALTH. But when comparing it to its historical volatility, HK Electric Investments is 1.26 times less risky than CARDINAL HEALTH. It trades about 0.0 of its potential returns per unit of risk. CARDINAL HEALTH is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 11,280 in CARDINAL HEALTH on December 21, 2024 and sell it today you would earn a total of 820.00 from holding CARDINAL HEALTH or generate 7.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
HK Electric Investments vs. CARDINAL HEALTH
Performance |
Timeline |
HK Electric Investments |
CARDINAL HEALTH |
HK Electric and CARDINAL HEALTH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HK Electric and CARDINAL HEALTH
The main advantage of trading using opposite HK Electric and CARDINAL HEALTH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HK Electric position performs unexpectedly, CARDINAL HEALTH 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 CARDINAL HEALTH will offset losses from the drop in CARDINAL HEALTH's long position.HK Electric vs. ZURICH INSURANCE GROUP | HK Electric vs. QBE Insurance Group | HK Electric vs. BRAEMAR HOTELS RES | HK Electric vs. Selective Insurance Group |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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