Correlation Between FRACTAL GAMING and TIMES CHINA
Can any of the company-specific risk be diversified away by investing in both FRACTAL GAMING and TIMES CHINA 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 FRACTAL GAMING and TIMES CHINA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FRACTAL GAMING GROUP and TIMES CHINA HLDGS, you can compare the effects of market volatilities on FRACTAL GAMING and TIMES CHINA 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 FRACTAL GAMING with a short position of TIMES CHINA. Check out your portfolio center. Please also check ongoing floating volatility patterns of FRACTAL GAMING and TIMES CHINA.
Diversification Opportunities for FRACTAL GAMING and TIMES CHINA
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between FRACTAL and TIMES is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding FRACTAL GAMING GROUP and TIMES CHINA HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TIMES CHINA HLDGS and FRACTAL GAMING 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 FRACTAL GAMING GROUP are associated (or correlated) with TIMES CHINA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TIMES CHINA HLDGS has no effect on the direction of FRACTAL GAMING i.e., FRACTAL GAMING and TIMES CHINA go up and down completely randomly.
Pair Corralation between FRACTAL GAMING and TIMES CHINA
Assuming the 90 days horizon FRACTAL GAMING is expected to generate 6.98 times less return on investment than TIMES CHINA. But when comparing it to its historical volatility, FRACTAL GAMING GROUP is 5.18 times less risky than TIMES CHINA. It trades about 0.03 of its potential returns per unit of risk. TIMES CHINA HLDGS is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 15.00 in TIMES CHINA HLDGS on October 21, 2024 and sell it today you would lose (12.05) from holding TIMES CHINA HLDGS or give up 80.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FRACTAL GAMING GROUP vs. TIMES CHINA HLDGS
Performance |
Timeline |
FRACTAL GAMING GROUP |
TIMES CHINA HLDGS |
FRACTAL GAMING and TIMES CHINA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FRACTAL GAMING and TIMES CHINA
The main advantage of trading using opposite FRACTAL GAMING and TIMES CHINA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FRACTAL GAMING position performs unexpectedly, TIMES CHINA 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 TIMES CHINA will offset losses from the drop in TIMES CHINA's long position.FRACTAL GAMING vs. Wizz Air Holdings | FRACTAL GAMING vs. DALATA HOTEL | FRACTAL GAMING vs. Park Hotels Resorts | FRACTAL GAMING vs. Xenia Hotels Resorts |
TIMES CHINA vs. Deutsche Wohnen SE | TIMES CHINA vs. Gateway Real Estate | TIMES CHINA vs. LANDSEA HOMES P | TIMES CHINA vs. Superior Plus Corp |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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