Correlation Between PJ Metal and Sungchang Autotech
Can any of the company-specific risk be diversified away by investing in both PJ Metal and Sungchang Autotech 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 PJ Metal and Sungchang Autotech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PJ Metal Co and Sungchang Autotech Co, you can compare the effects of market volatilities on PJ Metal and Sungchang Autotech 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 PJ Metal with a short position of Sungchang Autotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of PJ Metal and Sungchang Autotech.
Diversification Opportunities for PJ Metal and Sungchang Autotech
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between 128660 and Sungchang is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding PJ Metal Co and Sungchang Autotech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sungchang Autotech and PJ Metal 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 PJ Metal Co are associated (or correlated) with Sungchang Autotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sungchang Autotech has no effect on the direction of PJ Metal i.e., PJ Metal and Sungchang Autotech go up and down completely randomly.
Pair Corralation between PJ Metal and Sungchang Autotech
Assuming the 90 days trading horizon PJ Metal Co is expected to generate 0.59 times more return on investment than Sungchang Autotech. However, PJ Metal Co is 1.68 times less risky than Sungchang Autotech. It trades about -0.19 of its potential returns per unit of risk. Sungchang Autotech Co is currently generating about -0.12 per unit of risk. If you would invest 330,000 in PJ Metal Co on August 24, 2024 and sell it today you would lose (24,000) from holding PJ Metal Co or give up 7.27% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
PJ Metal Co vs. Sungchang Autotech Co
Performance |
| Timeline |
| PJ Metal |
| Sungchang Autotech |
PJ Metal and Sungchang Autotech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PJ Metal and Sungchang Autotech
The main advantage of trading using opposite PJ Metal and Sungchang Autotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PJ Metal position performs unexpectedly, Sungchang Autotech 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 Sungchang Autotech will offset losses from the drop in Sungchang Autotech's long position.| PJ Metal vs. Hanwha InvestmentSecurities Co | PJ Metal vs. Eagle Veterinary Technology | PJ Metal vs. Global Standard Technology | PJ Metal vs. DSC Investment |
| Sungchang Autotech vs. Busan Industrial Co | Sungchang Autotech vs. Busan Ind | Sungchang Autotech vs. Mirae Asset Daewoo | Sungchang Autotech vs. UNISEM 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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