Correlation Between Samyoung Electronics and Pyung Hwa
Can any of the company-specific risk be diversified away by investing in both Samyoung Electronics 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 Samyoung Electronics and Pyung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samyoung Electronics Co and Pyung Hwa Industrial, you can compare the effects of market volatilities on Samyoung Electronics 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 Samyoung Electronics with a short position of Pyung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samyoung Electronics and Pyung Hwa.
Diversification Opportunities for Samyoung Electronics and Pyung Hwa
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samyoung and Pyung is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Samyoung Electronics 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 Samyoung Electronics 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 Samyoung Electronics 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 Samyoung Electronics i.e., Samyoung Electronics and Pyung Hwa go up and down completely randomly.
Pair Corralation between Samyoung Electronics and Pyung Hwa
Assuming the 90 days trading horizon Samyoung Electronics is expected to generate 457.46 times less return on investment than Pyung Hwa. But when comparing it to its historical volatility, Samyoung Electronics Co is 4.28 times less risky than Pyung Hwa. It trades about 0.0 of its potential returns per unit of risk. Pyung Hwa Industrial is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 90,100 in Pyung Hwa Industrial on October 16, 2024 and sell it today you would earn a total of 10,200 from holding Pyung Hwa Industrial or generate 11.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Samyoung Electronics Co vs. Pyung Hwa Industrial
Performance |
| Timeline |
| Samyoung Electronics |
| Pyung Hwa Industrial |
Samyoung Electronics and Pyung Hwa Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Samyoung Electronics and Pyung Hwa
The main advantage of trading using opposite Samyoung Electronics and Pyung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samyoung Electronics 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.| Samyoung Electronics vs. Sangsangin Investment Securities | Samyoung Electronics vs. PLAYWITH | Samyoung Electronics vs. Playgram Co | Samyoung Electronics vs. Sangsin Energy Display |
| Pyung Hwa vs. Finebesteel | Pyung Hwa vs. SK Telecom Co | Pyung Hwa vs. Korea Shipbuilding Offshore | Pyung Hwa vs. Nable Communications |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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