Correlation Between SOFI TECHNOLOGIES and Sims Metal
Can any of the company-specific risk be diversified away by investing in both SOFI TECHNOLOGIES and Sims Metal 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 SOFI TECHNOLOGIES and Sims Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOFI TECHNOLOGIES and Sims Metal Management, you can compare the effects of market volatilities on SOFI TECHNOLOGIES and Sims Metal 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 SOFI TECHNOLOGIES with a short position of Sims Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOFI TECHNOLOGIES and Sims Metal.
Diversification Opportunities for SOFI TECHNOLOGIES and Sims Metal
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SOFI and Sims is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding SOFI TECHNOLOGIES and Sims Metal Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sims Metal Management and SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES are associated (or correlated) with Sims Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sims Metal Management has no effect on the direction of SOFI TECHNOLOGIES i.e., SOFI TECHNOLOGIES and Sims Metal go up and down completely randomly.
Pair Corralation between SOFI TECHNOLOGIES and Sims Metal
Assuming the 90 days horizon SOFI TECHNOLOGIES is expected to under-perform the Sims Metal. In addition to that, SOFI TECHNOLOGIES is 2.21 times more volatile than Sims Metal Management. It trades about -0.08 of its total potential returns per unit of risk. Sims Metal Management is currently generating about 0.22 per unit of volatility. If you would invest 700.00 in Sims Metal Management on December 24, 2024 and sell it today you would earn a total of 180.00 from holding Sims Metal Management or generate 25.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SOFI TECHNOLOGIES vs. Sims Metal Management
Performance |
Timeline |
SOFI TECHNOLOGIES |
Sims Metal Management |
SOFI TECHNOLOGIES and Sims Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SOFI TECHNOLOGIES and Sims Metal
The main advantage of trading using opposite SOFI TECHNOLOGIES and Sims Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOFI TECHNOLOGIES position performs unexpectedly, Sims Metal 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 Sims Metal will offset losses from the drop in Sims Metal's long position.SOFI TECHNOLOGIES vs. AIR PRODCHEMICALS | SOFI TECHNOLOGIES vs. Daido Steel Co | SOFI TECHNOLOGIES vs. Nippon Steel | SOFI TECHNOLOGIES vs. RELIANCE STEEL AL |
Sims Metal vs. CHINA EDUCATION GROUP | Sims Metal vs. Yuexiu Transport Infrastructure | Sims Metal vs. Nippon Light Metal | Sims Metal vs. Fortescue Metals Group |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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