Correlation Between Fine Besteel and Mirae Asset
Can any of the company-specific risk be diversified away by investing in both Fine Besteel and Mirae Asset 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 Mirae Asset 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 Mirae Asset Daewoo, you can compare the effects of market volatilities on Fine Besteel and Mirae Asset 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 Mirae Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fine Besteel and Mirae Asset.
Diversification Opportunities for Fine Besteel and Mirae Asset
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Fine and Mirae is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Fine Besteel Co and Mirae Asset Daewoo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mirae Asset Daewoo 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 Mirae Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mirae Asset Daewoo has no effect on the direction of Fine Besteel i.e., Fine Besteel and Mirae Asset go up and down completely randomly.
Pair Corralation between Fine Besteel and Mirae Asset
Assuming the 90 days trading horizon Fine Besteel Co is expected to under-perform the Mirae Asset. In addition to that, Fine Besteel is 1.78 times more volatile than Mirae Asset Daewoo. It trades about -0.13 of its total potential returns per unit of risk. Mirae Asset Daewoo is currently generating about -0.16 per unit of volatility. If you would invest 404,500 in Mirae Asset Daewoo on October 13, 2024 and sell it today you would lose (12,500) from holding Mirae Asset Daewoo or give up 3.09% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fine Besteel Co vs. Mirae Asset Daewoo
Performance |
| Timeline |
| Fine Besteel |
| Mirae Asset Daewoo |
Fine Besteel and Mirae Asset Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fine Besteel and Mirae Asset
The main advantage of trading using opposite Fine Besteel and Mirae Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fine Besteel position performs unexpectedly, Mirae Asset 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 Mirae Asset will offset losses from the drop in Mirae Asset's long position.| Fine Besteel vs. Jb Financial | Fine Besteel vs. SeAH Besteel Corp | Fine Besteel vs. Incar Financial Service | Fine Besteel vs. Han Kook Steel |
| Mirae Asset vs. Korean Air Lines | Mirae Asset vs. LG Display Co | Mirae Asset vs. Dongil Metal Co | Mirae Asset vs. Iljin Display |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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