Correlation Between STEEL DYNAMICS and DATAGROUP
Can any of the company-specific risk be diversified away by investing in both STEEL DYNAMICS and DATAGROUP 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 STEEL DYNAMICS and DATAGROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STEEL DYNAMICS and DATAGROUP SE, you can compare the effects of market volatilities on STEEL DYNAMICS and DATAGROUP 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 STEEL DYNAMICS with a short position of DATAGROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of STEEL DYNAMICS and DATAGROUP.
Diversification Opportunities for STEEL DYNAMICS and DATAGROUP
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between STEEL and DATAGROUP is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding STEEL DYNAMICS and DATAGROUP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATAGROUP SE and STEEL DYNAMICS 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 STEEL DYNAMICS are associated (or correlated) with DATAGROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATAGROUP SE has no effect on the direction of STEEL DYNAMICS i.e., STEEL DYNAMICS and DATAGROUP go up and down completely randomly.
Pair Corralation between STEEL DYNAMICS and DATAGROUP
Assuming the 90 days trading horizon STEEL DYNAMICS is expected to under-perform the DATAGROUP. But the stock apears to be less risky and, when comparing its historical volatility, STEEL DYNAMICS is 1.17 times less risky than DATAGROUP. The stock trades about -0.31 of its potential returns per unit of risk. The DATAGROUP SE is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 4,600 in DATAGROUP SE on October 12, 2024 and sell it today you would lose (95.00) from holding DATAGROUP SE or give up 2.07% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
STEEL DYNAMICS vs. DATAGROUP SE
Performance |
| Timeline |
| STEEL DYNAMICS |
| DATAGROUP SE |
STEEL DYNAMICS and DATAGROUP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with STEEL DYNAMICS and DATAGROUP
The main advantage of trading using opposite STEEL DYNAMICS and DATAGROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STEEL DYNAMICS position performs unexpectedly, DATAGROUP 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 DATAGROUP will offset losses from the drop in DATAGROUP's long position.| STEEL DYNAMICS vs. BW OFFSHORE LTD | STEEL DYNAMICS vs. EIDESVIK OFFSHORE NK | STEEL DYNAMICS vs. Teradata Corp | STEEL DYNAMICS vs. CN DATANG C |
| DATAGROUP vs. Linedata Services SA | DATAGROUP vs. Sch Environnement SA | DATAGROUP vs. CALTAGIRONE EDITORE | DATAGROUP vs. STEEL DYNAMICS |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
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