Correlation Between Jinro Distillers and Pyung Hwa
Can any of the company-specific risk be diversified away by investing in both Jinro Distillers and Pyung Hwa 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 Jinro Distillers and Pyung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jinro Distillers Co and Pyung Hwa Industrial, you can compare the effects of market volatilities on Jinro Distillers and Pyung Hwa 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 Jinro Distillers with a short position of Pyung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jinro Distillers and Pyung Hwa.
Diversification Opportunities for Jinro Distillers and Pyung Hwa
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jinro and Pyung is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Jinro Distillers Co and Pyung Hwa Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pyung Hwa Industrial and Jinro Distillers 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 Jinro Distillers Co are associated (or correlated) with Pyung Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pyung Hwa Industrial has no effect on the direction of Jinro Distillers i.e., Jinro Distillers and Pyung Hwa go up and down completely randomly.
Pair Corralation between Jinro Distillers and Pyung Hwa
Assuming the 90 days trading horizon Jinro Distillers is expected to generate 1.73 times less return on investment than Pyung Hwa. But when comparing it to its historical volatility, Jinro Distillers Co is 4.12 times less risky than Pyung Hwa. It trades about 0.65 of its potential returns per unit of risk. Pyung Hwa Industrial is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 84,100 in Pyung Hwa Industrial on October 11, 2024 and sell it today you would earn a total of 11,800 from holding Pyung Hwa Industrial or generate 14.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jinro Distillers Co vs. Pyung Hwa Industrial
Performance |
Timeline |
Jinro Distillers |
Pyung Hwa Industrial |
Jinro Distillers and Pyung Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jinro Distillers and Pyung Hwa
The main advantage of trading using opposite Jinro Distillers and Pyung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jinro Distillers position performs unexpectedly, Pyung Hwa 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 Pyung Hwa will offset losses from the drop in Pyung Hwa's long position.Jinro Distillers vs. INNOX Advanced Materials | Jinro Distillers vs. Chorokbaem Healthcare Co | Jinro Distillers vs. Union Materials Corp | Jinro Distillers vs. Top Material Co |
Pyung Hwa vs. Cloud Air CoLtd | Pyung Hwa vs. Tway Air Co | Pyung Hwa vs. Digital Power Communications | Pyung Hwa vs. Jinro Distillers Co |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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