Correlation Between Daechang Steel and PJ Electronics
Can any of the company-specific risk be diversified away by investing in both Daechang Steel and PJ Electronics 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 Daechang Steel and PJ Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daechang Steel Co and PJ Electronics Co, you can compare the effects of market volatilities on Daechang Steel and PJ Electronics 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 Daechang Steel with a short position of PJ Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daechang Steel and PJ Electronics.
Diversification Opportunities for Daechang Steel and PJ Electronics
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Daechang and 006140 is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Daechang Steel Co and PJ Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PJ Electronics and Daechang Steel 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 Daechang Steel Co are associated (or correlated) with PJ Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PJ Electronics has no effect on the direction of Daechang Steel i.e., Daechang Steel and PJ Electronics go up and down completely randomly.
Pair Corralation between Daechang Steel and PJ Electronics
Assuming the 90 days trading horizon Daechang Steel is expected to generate 7.68 times less return on investment than PJ Electronics. But when comparing it to its historical volatility, Daechang Steel Co is 2.17 times less risky than PJ Electronics. It trades about 0.05 of its potential returns per unit of risk. PJ Electronics Co is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 444,500 in PJ Electronics Co on December 26, 2024 and sell it today you would earn a total of 121,500 from holding PJ Electronics Co or generate 27.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daechang Steel Co vs. PJ Electronics Co
Performance |
Timeline |
Daechang Steel |
PJ Electronics |
Daechang Steel and PJ Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daechang Steel and PJ Electronics
The main advantage of trading using opposite Daechang Steel and PJ Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daechang Steel position performs unexpectedly, PJ Electronics 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 PJ Electronics will offset losses from the drop in PJ Electronics' long position.Daechang Steel vs. Lotte Data Communication | Daechang Steel vs. DoubleU Games Co | Daechang Steel vs. Netmarble Games Corp | Daechang Steel vs. Hwacheon Machinery Co |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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