Correlation Between Fine Besteel and Moonbae Steel
Can any of the company-specific risk be diversified away by investing in both Fine Besteel and Moonbae Steel 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 Fine Besteel and Moonbae Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fine Besteel Co and Moonbae Steel, you can compare the effects of market volatilities on Fine Besteel and Moonbae Steel 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 Fine Besteel with a short position of Moonbae Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fine Besteel and Moonbae Steel.
Diversification Opportunities for Fine Besteel and Moonbae Steel
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fine and Moonbae is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Fine Besteel Co and Moonbae Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Moonbae Steel and Fine Besteel 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 Fine Besteel Co are associated (or correlated) with Moonbae Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Moonbae Steel has no effect on the direction of Fine Besteel i.e., Fine Besteel and Moonbae Steel go up and down completely randomly.
Pair Corralation between Fine Besteel and Moonbae Steel
Assuming the 90 days trading horizon Fine Besteel Co is expected to generate 1.2 times more return on investment than Moonbae Steel. However, Fine Besteel is 1.2 times more volatile than Moonbae Steel. It trades about 0.04 of its potential returns per unit of risk. Moonbae Steel is currently generating about 0.0 per unit of risk. If you would invest 89,300 in Fine Besteel Co on October 11, 2024 and sell it today you would earn a total of 5,400 from holding Fine Besteel Co or generate 6.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fine Besteel Co vs. Moonbae Steel
Performance |
Timeline |
Fine Besteel |
Moonbae Steel |
Fine Besteel and Moonbae Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fine Besteel and Moonbae Steel
The main advantage of trading using opposite Fine Besteel and Moonbae Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fine Besteel position performs unexpectedly, Moonbae Steel 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 Moonbae Steel will offset losses from the drop in Moonbae Steel's long position.Fine Besteel vs. Shinil Industrial Co | Fine Besteel vs. Raontech | Fine Besteel vs. Myoung Shin Industrial | Fine Besteel vs. Hyundai Industrial Co |
Moonbae Steel vs. Innowireless Co | Moonbae Steel vs. GS Engineering Construction | Moonbae Steel vs. Korea Information Communications | Moonbae Steel vs. Nable Communications |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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