Correlation Between Caltagirone SpA and ALGOMA STEEL
Can any of the company-specific risk be diversified away by investing in both Caltagirone SpA and ALGOMA STEEL 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 Caltagirone SpA and ALGOMA STEEL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Caltagirone SpA and ALGOMA STEEL GROUP, you can compare the effects of market volatilities on Caltagirone SpA and ALGOMA STEEL 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 Caltagirone SpA with a short position of ALGOMA STEEL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Caltagirone SpA and ALGOMA STEEL.
Diversification Opportunities for Caltagirone SpA and ALGOMA STEEL
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Caltagirone and ALGOMA is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Caltagirone SpA and ALGOMA STEEL GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALGOMA STEEL GROUP and Caltagirone SpA 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 Caltagirone SpA are associated (or correlated) with ALGOMA STEEL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALGOMA STEEL GROUP has no effect on the direction of Caltagirone SpA i.e., Caltagirone SpA and ALGOMA STEEL go up and down completely randomly.
Pair Corralation between Caltagirone SpA and ALGOMA STEEL
Assuming the 90 days trading horizon Caltagirone SpA is expected to generate 0.86 times more return on investment than ALGOMA STEEL. However, Caltagirone SpA is 1.17 times less risky than ALGOMA STEEL. It trades about 0.09 of its potential returns per unit of risk. ALGOMA STEEL GROUP is currently generating about 0.06 per unit of risk. If you would invest 272.00 in Caltagirone SpA on September 12, 2024 and sell it today you would earn a total of 338.00 from holding Caltagirone SpA or generate 124.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Caltagirone SpA vs. ALGOMA STEEL GROUP
Performance |
| Timeline |
| Caltagirone SpA |
| ALGOMA STEEL GROUP |
Caltagirone SpA and ALGOMA STEEL Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Caltagirone SpA and ALGOMA STEEL
The main advantage of trading using opposite Caltagirone SpA and ALGOMA STEEL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Caltagirone SpA position performs unexpectedly, ALGOMA STEEL 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 ALGOMA STEEL will offset losses from the drop in ALGOMA STEEL's long position.| Caltagirone SpA vs. Apple Inc | Caltagirone SpA vs. Apple Inc | Caltagirone SpA vs. Apple Inc | Caltagirone SpA vs. Apple Inc |
| ALGOMA STEEL vs. ArcelorMittal | ALGOMA STEEL vs. NIPPON STEEL SPADR | ALGOMA STEEL vs. Reliance Steel Aluminum | ALGOMA STEEL vs. Superior Plus Corp |
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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