Correlation Between Top Material and Semyung Electric
Can any of the company-specific risk be diversified away by investing in both Top Material and Semyung Electric 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 Top Material and Semyung Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Top Material Co and Semyung Electric Machinery, you can compare the effects of market volatilities on Top Material and Semyung Electric 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 Top Material with a short position of Semyung Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Top Material and Semyung Electric.
Diversification Opportunities for Top Material and Semyung Electric
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Top and Semyung is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Top Material Co and Semyung Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Semyung Electric Mac and Top Material 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 Top Material Co are associated (or correlated) with Semyung Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Semyung Electric Mac has no effect on the direction of Top Material i.e., Top Material and Semyung Electric go up and down completely randomly.
Pair Corralation between Top Material and Semyung Electric
Assuming the 90 days trading horizon Top Material Co is expected to under-perform the Semyung Electric. But the stock apears to be less risky and, when comparing its historical volatility, Top Material Co is 1.07 times less risky than Semyung Electric. The stock trades about -0.11 of its potential returns per unit of risk. The Semyung Electric Machinery is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 583,000 in Semyung Electric Machinery on September 20, 2024 and sell it today you would lose (116,000) from holding Semyung Electric Machinery or give up 19.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Top Material Co vs. Semyung Electric Machinery
Performance |
Timeline |
Top Material |
Semyung Electric Mac |
Top Material and Semyung Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Top Material and Semyung Electric
The main advantage of trading using opposite Top Material and Semyung Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Top Material position performs unexpectedly, Semyung Electric 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 Semyung Electric will offset losses from the drop in Semyung Electric's long position.Top Material vs. LG Household Healthcare | Top Material vs. Pan Entertainment Co | Top Material vs. SKONEC Entertainment Co | Top Material vs. Nasmedia 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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