Correlation Between China Resources and FRACTAL GAMING
Can any of the company-specific risk be diversified away by investing in both China Resources and FRACTAL GAMING 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 Resources and FRACTAL GAMING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Resources Gas and FRACTAL GAMING GROUP, you can compare the effects of market volatilities on China Resources and FRACTAL GAMING 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 Resources with a short position of FRACTAL GAMING. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Resources and FRACTAL GAMING.
Diversification Opportunities for China Resources and FRACTAL GAMING
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between China and FRACTAL is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding China Resources Gas and FRACTAL GAMING GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FRACTAL GAMING GROUP and China Resources 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 Resources Gas are associated (or correlated) with FRACTAL GAMING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FRACTAL GAMING GROUP has no effect on the direction of China Resources i.e., China Resources and FRACTAL GAMING go up and down completely randomly.
Pair Corralation between China Resources and FRACTAL GAMING
Assuming the 90 days trading horizon China Resources Gas is expected to under-perform the FRACTAL GAMING. In addition to that, China Resources is 1.4 times more volatile than FRACTAL GAMING GROUP. It trades about -0.07 of its total potential returns per unit of risk. FRACTAL GAMING GROUP is currently generating about 0.0 per unit of volatility. If you would invest 293.00 in FRACTAL GAMING GROUP on October 25, 2024 and sell it today you would lose (2.00) from holding FRACTAL GAMING GROUP or give up 0.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Resources Gas vs. FRACTAL GAMING GROUP
Performance |
Timeline |
China Resources Gas |
FRACTAL GAMING GROUP |
China Resources and FRACTAL GAMING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Resources and FRACTAL GAMING
The main advantage of trading using opposite China Resources and FRACTAL GAMING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Resources position performs unexpectedly, FRACTAL GAMING 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 FRACTAL GAMING will offset losses from the drop in FRACTAL GAMING's long position.China Resources vs. Westinghouse Air Brake | China Resources vs. Pentair plc | China Resources vs. Corsair Gaming | China Resources vs. SOGECLAIR SA INH |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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