Correlation Between C3 Ai and Xunlei
Can any of the company-specific risk be diversified away by investing in both C3 Ai and Xunlei 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 C3 Ai and Xunlei into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between C3 Ai Inc and Xunlei Ltd Adr, you can compare the effects of market volatilities on C3 Ai and Xunlei 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 C3 Ai with a short position of Xunlei. Check out your portfolio center. Please also check ongoing floating volatility patterns of C3 Ai and Xunlei.
Diversification Opportunities for C3 Ai and Xunlei
Very poor diversification
The 3 months correlation between C3 Ai and Xunlei is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding C3 Ai Inc and Xunlei Ltd Adr in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xunlei Ltd Adr and C3 Ai 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 C3 Ai Inc are associated (or correlated) with Xunlei. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xunlei Ltd Adr has no effect on the direction of C3 Ai i.e., C3 Ai and Xunlei go up and down completely randomly.
Pair Corralation between C3 Ai and Xunlei
Allowing for the 90-day total investment horizon C3 Ai is expected to generate 19.59 times less return on investment than Xunlei. But when comparing it to its historical volatility, C3 Ai Inc is 1.31 times less risky than Xunlei. It trades about 0.01 of its potential returns per unit of risk. Xunlei Ltd Adr is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 172.00 in Xunlei Ltd Adr on March 22, 2025 and sell it today you would earn a total of 300.00 from holding Xunlei Ltd Adr or generate 174.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
C3 Ai Inc vs. Xunlei Ltd Adr
Performance |
| Timeline |
| C3 Ai Inc |
| Xunlei Ltd Adr |
C3 Ai and Xunlei Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with C3 Ai and Xunlei
The main advantage of trading using opposite C3 Ai and Xunlei positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if C3 Ai position performs unexpectedly, Xunlei 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 Xunlei will offset losses from the drop in Xunlei's long position.The idea behind C3 Ai Inc and Xunlei Ltd Adr pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Xunlei vs. Travelzoo | Xunlei vs. Emerald Expositions Events | Xunlei vs. Ziff Davis | Xunlei vs. Direct Digital Holdings |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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