Correlation Between Match and Jiayin
Can any of the company-specific risk be diversified away by investing in both Match and Jiayin 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 Match and Jiayin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Match Group and Jiayin Group, you can compare the effects of market volatilities on Match and Jiayin 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 Match with a short position of Jiayin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Match and Jiayin.
Diversification Opportunities for Match and Jiayin
Average diversification
The 3 months correlation between Match and Jiayin is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Match Group and Jiayin Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiayin Group and Match 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 Match Group are associated (or correlated) with Jiayin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiayin Group has no effect on the direction of Match i.e., Match and Jiayin go up and down completely randomly.
Pair Corralation between Match and Jiayin
Given the investment horizon of 90 days Match Group is expected to under-perform the Jiayin. But the stock apears to be less risky and, when comparing its historical volatility, Match Group is 1.39 times less risky than Jiayin. The stock trades about -0.06 of its potential returns per unit of risk. The Jiayin Group is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 509.00 in Jiayin Group on August 31, 2024 and sell it today you would earn a total of 151.00 from holding Jiayin Group or generate 29.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Match Group vs. Jiayin Group
Performance |
Timeline |
Match Group |
Jiayin Group |
Match and Jiayin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Match and Jiayin
The main advantage of trading using opposite Match and Jiayin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Match position performs unexpectedly, Jiayin 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 Jiayin will offset losses from the drop in Jiayin's long position.The idea behind Match Group and Jiayin Group 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.Jiayin vs. Oriental Culture Holding | Jiayin vs. Wisekey International Holding | Jiayin vs. Wah Fu Education |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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