Correlation Between Jb Financial and Woorim Machinery
Can any of the company-specific risk be diversified away by investing in both Jb Financial and Woorim Machinery 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 Jb Financial and Woorim Machinery into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jb Financial and Woorim Machinery Co, you can compare the effects of market volatilities on Jb Financial and Woorim Machinery 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 Jb Financial with a short position of Woorim Machinery. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jb Financial and Woorim Machinery.
Diversification Opportunities for Jb Financial and Woorim Machinery
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between 175330 and Woorim is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Jb Financial and Woorim Machinery Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Woorim Machinery and Jb Financial 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 Jb Financial are associated (or correlated) with Woorim Machinery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Woorim Machinery has no effect on the direction of Jb Financial i.e., Jb Financial and Woorim Machinery go up and down completely randomly.
Pair Corralation between Jb Financial and Woorim Machinery
Assuming the 90 days trading horizon Jb Financial is expected to generate 1.03 times less return on investment than Woorim Machinery. But when comparing it to its historical volatility, Jb Financial is 1.64 times less risky than Woorim Machinery. It trades about 0.38 of its potential returns per unit of risk. Woorim Machinery Co is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 478,000 in Woorim Machinery Co on October 24, 2024 and sell it today you would earn a total of 73,000 from holding Woorim Machinery Co or generate 15.27% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Jb Financial vs. Woorim Machinery Co
Performance |
| Timeline |
| Jb Financial |
| Woorim Machinery |
Jb Financial and Woorim Machinery Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Jb Financial and Woorim Machinery
The main advantage of trading using opposite Jb Financial and Woorim Machinery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jb Financial position performs unexpectedly, Woorim Machinery 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 Woorim Machinery will offset losses from the drop in Woorim Machinery's long position.| Jb Financial vs. Samsung Electronics Co | Jb Financial vs. Samsung Electronics Co | Jb Financial vs. Naver | Jb Financial vs. SK Hynix |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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