Correlation Between Runjian Communication and Financial Street
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By analyzing existing cross correlation between Runjian Communication Co and Financial Street Holdings, you can compare the effects of market volatilities on Runjian Communication and Financial Street 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 Runjian Communication with a short position of Financial Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of Runjian Communication and Financial Street.
Diversification Opportunities for Runjian Communication and Financial Street
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Runjian and Financial is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Runjian Communication Co and Financial Street Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Street Holdings and Runjian Communication 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 Runjian Communication Co are associated (or correlated) with Financial Street. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Street Holdings has no effect on the direction of Runjian Communication i.e., Runjian Communication and Financial Street go up and down completely randomly.
Pair Corralation between Runjian Communication and Financial Street
Assuming the 90 days trading horizon Runjian Communication Co is expected to generate 1.12 times more return on investment than Financial Street. However, Runjian Communication is 1.12 times more volatile than Financial Street Holdings. It trades about 0.0 of its potential returns per unit of risk. Financial Street Holdings is currently generating about -0.03 per unit of risk. If you would invest 4,032 in Runjian Communication Co on October 29, 2024 and sell it today you would lose (673.00) from holding Runjian Communication Co or give up 16.69% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Runjian Communication Co vs. Financial Street Holdings
Performance |
| Timeline |
| Runjian Communication |
| Financial Street Holdings |
Runjian Communication and Financial Street Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Runjian Communication and Financial Street
The main advantage of trading using opposite Runjian Communication and Financial Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Runjian Communication position performs unexpectedly, Financial Street 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 Financial Street will offset losses from the drop in Financial Street's long position.The idea behind Runjian Communication Co and Financial Street Holdings 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.
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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