Correlation Between Revenio and SSAB AB
Can any of the company-specific risk be diversified away by investing in both Revenio and SSAB AB 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 Revenio and SSAB AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Revenio Group and SSAB AB ser, you can compare the effects of market volatilities on Revenio and SSAB AB 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 Revenio with a short position of SSAB AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Revenio and SSAB AB.
Diversification Opportunities for Revenio and SSAB AB
Very good diversification
The 3 months correlation between Revenio and SSAB is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Revenio Group and SSAB AB ser in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSAB AB ser and Revenio 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 Revenio Group are associated (or correlated) with SSAB AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSAB AB ser has no effect on the direction of Revenio i.e., Revenio and SSAB AB go up and down completely randomly.
Pair Corralation between Revenio and SSAB AB
Assuming the 90 days trading horizon Revenio Group is expected to under-perform the SSAB AB. But the stock apears to be less risky and, when comparing its historical volatility, Revenio Group is 1.08 times less risky than SSAB AB. The stock trades about -0.14 of its potential returns per unit of risk. The SSAB AB ser is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 431.00 in SSAB AB ser on September 2, 2024 and sell it today you would lose (2.00) from holding SSAB AB ser or give up 0.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Revenio Group vs. SSAB AB ser
Performance |
Timeline |
Revenio Group |
SSAB AB ser |
Revenio and SSAB AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Revenio and SSAB AB
The main advantage of trading using opposite Revenio and SSAB AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Revenio position performs unexpectedly, SSAB AB 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 SSAB AB will offset losses from the drop in SSAB AB's long position.The idea behind Revenio Group and SSAB AB ser pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.SSAB AB vs. Outokumpu Oyj | SSAB AB vs. Nordea Bank Abp | SSAB AB vs. Telia Company AB | SSAB AB vs. Wartsila Oyj Abp |
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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