Correlation Between Dong-A Steel and BIT Computer
Can any of the company-specific risk be diversified away by investing in both Dong-A Steel and BIT Computer 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 Dong-A Steel and BIT Computer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dong A Steel Technology and BIT Computer Co, you can compare the effects of market volatilities on Dong-A Steel and BIT Computer 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 Dong-A Steel with a short position of BIT Computer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dong-A Steel and BIT Computer.
Diversification Opportunities for Dong-A Steel and BIT Computer
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dong-A and BIT is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Dong A Steel Technology and BIT Computer Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BIT Computer and Dong-A Steel 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 Dong A Steel Technology are associated (or correlated) with BIT Computer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BIT Computer has no effect on the direction of Dong-A Steel i.e., Dong-A Steel and BIT Computer go up and down completely randomly.
Pair Corralation between Dong-A Steel and BIT Computer
Assuming the 90 days trading horizon Dong A Steel Technology is expected to generate 1.56 times more return on investment than BIT Computer. However, Dong-A Steel is 1.56 times more volatile than BIT Computer Co. It trades about 0.03 of its potential returns per unit of risk. BIT Computer Co is currently generating about -0.06 per unit of risk. If you would invest 283,274 in Dong A Steel Technology on December 22, 2024 and sell it today you would earn a total of 6,726 from holding Dong A Steel Technology or generate 2.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dong A Steel Technology vs. BIT Computer Co
Performance |
Timeline |
Dong A Steel |
BIT Computer |
Dong-A Steel and BIT Computer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dong-A Steel and BIT Computer
The main advantage of trading using opposite Dong-A Steel and BIT Computer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dong-A Steel position performs unexpectedly, BIT Computer 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 BIT Computer will offset losses from the drop in BIT Computer's long position.Dong-A Steel vs. AptaBio Therapeutics | Dong-A Steel vs. Daewoo SBI SPAC | Dong-A Steel vs. Dream Security co | Dong-A Steel vs. Microfriend |
BIT Computer vs. WooDeumGee Farm Co, | BIT Computer vs. Lotte Data Communication | BIT Computer vs. Daishin Information Communications | BIT Computer vs. Keyang Electric Machinery |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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