Correlation Between Jiayin and Columbia Global
Can any of the company-specific risk be diversified away by investing in both Jiayin and Columbia Global 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 Jiayin and Columbia Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jiayin Group and Columbia Global Technology, you can compare the effects of market volatilities on Jiayin and Columbia Global 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 Jiayin with a short position of Columbia Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiayin and Columbia Global.
Diversification Opportunities for Jiayin and Columbia Global
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Jiayin and Columbia is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Jiayin Group and Columbia Global Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Global Tech and Jiayin 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 Jiayin Group are associated (or correlated) with Columbia Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Global Tech has no effect on the direction of Jiayin i.e., Jiayin and Columbia Global go up and down completely randomly.
Pair Corralation between Jiayin and Columbia Global
Given the investment horizon of 90 days Jiayin Group is expected to generate 3.44 times more return on investment than Columbia Global. However, Jiayin is 3.44 times more volatile than Columbia Global Technology. It trades about 0.08 of its potential returns per unit of risk. Columbia Global Technology is currently generating about 0.11 per unit of risk. If you would invest 214.00 in Jiayin Group on October 5, 2024 and sell it today you would earn a total of 442.00 from holding Jiayin Group or generate 206.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.78% |
Values | Daily Returns |
Jiayin Group vs. Columbia Global Technology
Performance |
Timeline |
Jiayin Group |
Columbia Global Tech |
Jiayin and Columbia Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiayin and Columbia Global
The main advantage of trading using opposite Jiayin and Columbia Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiayin position performs unexpectedly, Columbia Global 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 Columbia Global will offset losses from the drop in Columbia Global's long position.Jiayin vs. Oriental Culture Holding | Jiayin vs. Wisekey International Holding | Jiayin vs. Wah Fu Education |
Columbia Global vs. Columbia Global Technology | Columbia Global vs. Columbia Global Technology | Columbia Global vs. Columbia Global Technology | Columbia Global vs. Columbia Global Technology |
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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