Correlation Between Snap and China Citic
Can any of the company-specific risk be diversified away by investing in both Snap and China Citic 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 Snap and China Citic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snap Inc and China Citic Bank, you can compare the effects of market volatilities on Snap and China Citic 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 Snap with a short position of China Citic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snap and China Citic.
Diversification Opportunities for Snap and China Citic
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Snap and China is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Snap Inc and China Citic Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Citic Bank and Snap 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 Snap Inc are associated (or correlated) with China Citic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Citic Bank has no effect on the direction of Snap i.e., Snap and China Citic go up and down completely randomly.
Pair Corralation between Snap and China Citic
Given the investment horizon of 90 days Snap Inc is expected to generate 0.54 times more return on investment than China Citic. However, Snap Inc is 1.84 times less risky than China Citic. It trades about 0.1 of its potential returns per unit of risk. China Citic Bank is currently generating about -0.05 per unit of risk. If you would invest 1,071 in Snap Inc on August 28, 2024 and sell it today you would earn a total of 89.00 from holding Snap Inc or generate 8.31% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Snap Inc vs. China Citic Bank
Performance |
| Timeline |
| Snap Inc |
| China Citic Bank |
Snap and China Citic Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snap and China Citic
The main advantage of trading using opposite Snap and China Citic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snap position performs unexpectedly, China Citic 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 China Citic will offset losses from the drop in China Citic's long position.The idea behind Snap Inc and China Citic Bank 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.| China Citic vs. China Everbright Bank | China Citic vs. China Merchants Bank | China Citic vs. Postal Savings Bank | China Citic vs. China Merchants Bank |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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