Correlation Between Sejong Telecom and Fine Besteel
Can any of the company-specific risk be diversified away by investing in both Sejong Telecom and Fine Besteel 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 Sejong Telecom and Fine Besteel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sejong Telecom and Fine Besteel Co, you can compare the effects of market volatilities on Sejong Telecom and Fine Besteel 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 Sejong Telecom with a short position of Fine Besteel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sejong Telecom and Fine Besteel.
Diversification Opportunities for Sejong Telecom and Fine Besteel
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sejong and Fine is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Sejong Telecom and Fine Besteel Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fine Besteel and Sejong Telecom 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 Sejong Telecom are associated (or correlated) with Fine Besteel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fine Besteel has no effect on the direction of Sejong Telecom i.e., Sejong Telecom and Fine Besteel go up and down completely randomly.
Pair Corralation between Sejong Telecom and Fine Besteel
Assuming the 90 days trading horizon Sejong Telecom is expected to under-perform the Fine Besteel. But the stock apears to be less risky and, when comparing its historical volatility, Sejong Telecom is 4.13 times less risky than Fine Besteel. The stock trades about -0.45 of its potential returns per unit of risk. The Fine Besteel Co is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 86,000 in Fine Besteel Co on September 1, 2024 and sell it today you would earn a total of 18,700 from holding Fine Besteel Co or generate 21.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sejong Telecom vs. Fine Besteel Co
Performance |
| Timeline |
| Sejong Telecom |
| Fine Besteel |
Sejong Telecom and Fine Besteel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sejong Telecom and Fine Besteel
The main advantage of trading using opposite Sejong Telecom and Fine Besteel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sejong Telecom position performs unexpectedly, Fine Besteel 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 Fine Besteel will offset losses from the drop in Fine Besteel's long position.| Sejong Telecom vs. AfreecaTV Co | Sejong Telecom vs. Seegene | Sejong Telecom vs. SS TECH | Sejong Telecom vs. Busan Industrial Co |
| Fine Besteel vs. AptaBio Therapeutics | Fine Besteel vs. Daewoo SBI SPAC | Fine Besteel vs. Dream Security co | Fine Besteel vs. Microfriend |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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