Correlation Between China Railway and Johnson Controls
Can any of the company-specific risk be diversified away by investing in both China Railway and Johnson Controls 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 Railway and Johnson Controls into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Railway Group and Johnson Controls International, you can compare the effects of market volatilities on China Railway and Johnson Controls 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 Railway with a short position of Johnson Controls. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Railway and Johnson Controls.
Diversification Opportunities for China Railway and Johnson Controls
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between China and Johnson is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding China Railway Group and Johnson Controls International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Johnson Controls Int and China Railway 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 Railway Group are associated (or correlated) with Johnson Controls. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Johnson Controls Int has no effect on the direction of China Railway i.e., China Railway and Johnson Controls go up and down completely randomly.
Pair Corralation between China Railway and Johnson Controls
Assuming the 90 days horizon China Railway Group is expected to generate 3.13 times more return on investment than Johnson Controls. However, China Railway is 3.13 times more volatile than Johnson Controls International. It trades about 0.06 of its potential returns per unit of risk. Johnson Controls International is currently generating about 0.04 per unit of risk. If you would invest 16.00 in China Railway Group on September 23, 2024 and sell it today you would earn a total of 31.00 from holding China Railway Group or generate 193.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
China Railway Group vs. Johnson Controls International
Performance |
| Timeline |
| China Railway Group |
| Johnson Controls Int |
China Railway and Johnson Controls Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with China Railway and Johnson Controls
The main advantage of trading using opposite China Railway and Johnson Controls positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Railway position performs unexpectedly, Johnson Controls 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 Johnson Controls will offset losses from the drop in Johnson Controls' long position.| China Railway vs. CHINA TONTINE WINES | China Railway vs. SEI INVESTMENTS | China Railway vs. Marie Brizard Wine | China Railway vs. PennantPark Investment |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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