Correlation Between Zhihu and Integral
Can any of the company-specific risk be diversified away by investing in both Zhihu and Integral 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 Zhihu and Integral into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Zhihu Inc ADR and Integral Ad Science, you can compare the effects of market volatilities on Zhihu and Integral 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 Zhihu with a short position of Integral. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhihu and Integral.
Diversification Opportunities for Zhihu and Integral
Average diversification
The 3 months correlation between Zhihu and Integral is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Zhihu Inc ADR and Integral Ad Science in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Integral Ad Science and Zhihu 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 Zhihu Inc ADR are associated (or correlated) with Integral. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Integral Ad Science has no effect on the direction of Zhihu i.e., Zhihu and Integral go up and down completely randomly.
Pair Corralation between Zhihu and Integral
Allowing for the 90-day total investment horizon Zhihu Inc ADR is expected to under-perform the Integral. But the stock apears to be less risky and, when comparing its historical volatility, Zhihu Inc ADR is 1.16 times less risky than Integral. The stock trades about -0.03 of its potential returns per unit of risk. The Integral Ad Science is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,058 in Integral Ad Science on November 3, 2024 and sell it today you would lose (7.50) from holding Integral Ad Science or give up 0.71% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Zhihu Inc ADR vs. Integral Ad Science
Performance |
| Timeline |
| Zhihu Inc ADR |
| Integral Ad Science |
Zhihu and Integral Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Zhihu and Integral
The main advantage of trading using opposite Zhihu and Integral positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhihu position performs unexpectedly, Integral 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 Integral will offset losses from the drop in Integral's long position.The idea behind Zhihu Inc ADR and Integral Ad Science 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.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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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