Correlation Between COSMOSTEEL HLDGS and STRA Hannoversche
Can any of the company-specific risk be diversified away by investing in both COSMOSTEEL HLDGS and STRA Hannoversche 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 COSMOSTEEL HLDGS and STRA Hannoversche into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COSMOSTEEL HLDGS and STRA Hannoversche Verkehrsbetriebe, you can compare the effects of market volatilities on COSMOSTEEL HLDGS and STRA Hannoversche 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 COSMOSTEEL HLDGS with a short position of STRA Hannoversche. Check out your portfolio center. Please also check ongoing floating volatility patterns of COSMOSTEEL HLDGS and STRA Hannoversche.
Diversification Opportunities for COSMOSTEEL HLDGS and STRA Hannoversche
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between COSMOSTEEL and STRA is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding COSMOSTEEL HLDGS and STRA Hannoversche Verkehrsbetr in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STRA Hannoversche and COSMOSTEEL HLDGS 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 COSMOSTEEL HLDGS are associated (or correlated) with STRA Hannoversche. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STRA Hannoversche has no effect on the direction of COSMOSTEEL HLDGS i.e., COSMOSTEEL HLDGS and STRA Hannoversche go up and down completely randomly.
Pair Corralation between COSMOSTEEL HLDGS and STRA Hannoversche
Assuming the 90 days trading horizon COSMOSTEEL HLDGS is expected to generate 0.9 times more return on investment than STRA Hannoversche. However, COSMOSTEEL HLDGS is 1.11 times less risky than STRA Hannoversche. It trades about 0.01 of its potential returns per unit of risk. STRA Hannoversche Verkehrsbetriebe is currently generating about -0.01 per unit of risk. If you would invest 7.31 in COSMOSTEEL HLDGS on September 12, 2024 and sell it today you would lose (0.16) from holding COSMOSTEEL HLDGS or give up 2.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
COSMOSTEEL HLDGS vs. STRA Hannoversche Verkehrsbetr
Performance |
Timeline |
COSMOSTEEL HLDGS |
STRA Hannoversche |
COSMOSTEEL HLDGS and STRA Hannoversche Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COSMOSTEEL HLDGS and STRA Hannoversche
The main advantage of trading using opposite COSMOSTEEL HLDGS and STRA Hannoversche positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COSMOSTEEL HLDGS position performs unexpectedly, STRA Hannoversche 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 STRA Hannoversche will offset losses from the drop in STRA Hannoversche's long position.COSMOSTEEL HLDGS vs. Apple Inc | COSMOSTEEL HLDGS vs. Apple Inc | COSMOSTEEL HLDGS vs. Apple Inc | COSMOSTEEL HLDGS vs. Apple Inc |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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