Correlation Between COSMOSTEEL HLDGS and Korn Ferry
Can any of the company-specific risk be diversified away by investing in both COSMOSTEEL HLDGS and Korn Ferry 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 Korn Ferry into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COSMOSTEEL HLDGS and Korn Ferry, you can compare the effects of market volatilities on COSMOSTEEL HLDGS and Korn Ferry 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 Korn Ferry. Check out your portfolio center. Please also check ongoing floating volatility patterns of COSMOSTEEL HLDGS and Korn Ferry.
Diversification Opportunities for COSMOSTEEL HLDGS and Korn Ferry
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between COSMOSTEEL and Korn is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding COSMOSTEEL HLDGS and Korn Ferry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korn Ferry 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 Korn Ferry. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korn Ferry has no effect on the direction of COSMOSTEEL HLDGS i.e., COSMOSTEEL HLDGS and Korn Ferry go up and down completely randomly.
Pair Corralation between COSMOSTEEL HLDGS and Korn Ferry
Assuming the 90 days trading horizon COSMOSTEEL HLDGS is expected to generate 1.37 times more return on investment than Korn Ferry. However, COSMOSTEEL HLDGS is 1.37 times more volatile than Korn Ferry. It trades about 0.09 of its potential returns per unit of risk. Korn Ferry is currently generating about 0.03 per unit of risk. If you would invest 6.10 in COSMOSTEEL HLDGS on September 19, 2024 and sell it today you would earn a total of 0.95 from holding COSMOSTEEL HLDGS or generate 15.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
COSMOSTEEL HLDGS vs. Korn Ferry
Performance |
Timeline |
COSMOSTEEL HLDGS |
Korn Ferry |
COSMOSTEEL HLDGS and Korn Ferry Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COSMOSTEEL HLDGS and Korn Ferry
The main advantage of trading using opposite COSMOSTEEL HLDGS and Korn Ferry positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COSMOSTEEL HLDGS position performs unexpectedly, Korn Ferry 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 Korn Ferry will offset losses from the drop in Korn Ferry's long position.COSMOSTEEL HLDGS vs. Transport International Holdings | COSMOSTEEL HLDGS vs. Ribbon Communications | COSMOSTEEL HLDGS vs. COMPUTERSHARE | COSMOSTEEL HLDGS vs. Universal Display |
Korn Ferry vs. COSMOSTEEL HLDGS | Korn Ferry vs. Apollo Medical Holdings | Korn Ferry vs. CECO ENVIRONMENTAL | Korn Ferry vs. KRAKATAU STEEL B |
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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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