Correlation Between Pyung Hwa and Songwon Industrial
Can any of the company-specific risk be diversified away by investing in both Pyung Hwa and Songwon Industrial 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 Pyung Hwa and Songwon Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pyung Hwa Industrial and Songwon Industrial Co, you can compare the effects of market volatilities on Pyung Hwa and Songwon Industrial 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 Pyung Hwa with a short position of Songwon Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pyung Hwa and Songwon Industrial.
Diversification Opportunities for Pyung Hwa and Songwon Industrial
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pyung and Songwon is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Pyung Hwa Industrial and Songwon Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Songwon Industrial and Pyung Hwa 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 Pyung Hwa Industrial are associated (or correlated) with Songwon Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Songwon Industrial has no effect on the direction of Pyung Hwa i.e., Pyung Hwa and Songwon Industrial go up and down completely randomly.
Pair Corralation between Pyung Hwa and Songwon Industrial
Assuming the 90 days trading horizon Pyung Hwa Industrial is expected to under-perform the Songwon Industrial. But the stock apears to be less risky and, when comparing its historical volatility, Pyung Hwa Industrial is 1.38 times less risky than Songwon Industrial. The stock trades about -0.07 of its potential returns per unit of risk. The Songwon Industrial Co is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 1,234,000 in Songwon Industrial Co on September 23, 2024 and sell it today you would lose (152,000) from holding Songwon Industrial Co or give up 12.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pyung Hwa Industrial vs. Songwon Industrial Co
Performance |
Timeline |
Pyung Hwa Industrial |
Songwon Industrial |
Pyung Hwa and Songwon Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pyung Hwa and Songwon Industrial
The main advantage of trading using opposite Pyung Hwa and Songwon Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pyung Hwa position performs unexpectedly, Songwon Industrial 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 Songwon Industrial will offset losses from the drop in Songwon Industrial's long position.Pyung Hwa vs. AptaBio Therapeutics | Pyung Hwa vs. Wonbang Tech Co | Pyung Hwa vs. Busan Industrial Co | Pyung Hwa vs. Busan Ind |
Songwon Industrial vs. AptaBio Therapeutics | Songwon Industrial vs. Wonbang Tech Co | Songwon Industrial vs. Busan Industrial Co | Songwon Industrial vs. Busan Ind |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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