Correlation Between China Communications and JSC Halyk
Can any of the company-specific risk be diversified away by investing in both China Communications and JSC Halyk 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 China Communications and JSC Halyk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Communications Services and JSC Halyk bank, you can compare the effects of market volatilities on China Communications and JSC Halyk 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 China Communications with a short position of JSC Halyk. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Communications and JSC Halyk.
Diversification Opportunities for China Communications and JSC Halyk
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between China and JSC is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding China Communications Services and JSC Halyk bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JSC Halyk bank and China Communications 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 China Communications Services are associated (or correlated) with JSC Halyk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JSC Halyk bank has no effect on the direction of China Communications i.e., China Communications and JSC Halyk go up and down completely randomly.
Pair Corralation between China Communications and JSC Halyk
Assuming the 90 days horizon China Communications is expected to generate 3.83 times less return on investment than JSC Halyk. But when comparing it to its historical volatility, China Communications Services is 2.46 times less risky than JSC Halyk. It trades about 0.16 of its potential returns per unit of risk. JSC Halyk bank is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 1,725 in JSC Halyk bank on October 8, 2024 and sell it today you would earn a total of 265.00 from holding JSC Halyk bank or generate 15.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Communications Services vs. JSC Halyk bank
Performance |
Timeline |
China Communications |
JSC Halyk bank |
China Communications and JSC Halyk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Communications and JSC Halyk
The main advantage of trading using opposite China Communications and JSC Halyk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Communications position performs unexpectedly, JSC Halyk 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 JSC Halyk will offset losses from the drop in JSC Halyk's long position.China Communications vs. Nippon Telegraph and | China Communications vs. Superior Plus Corp | China Communications vs. NMI Holdings | China Communications vs. SIVERS SEMICONDUCTORS AB |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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