Correlation Between Scandic Hotels and SoftBank Group
Can any of the company-specific risk be diversified away by investing in both Scandic Hotels and SoftBank Group 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 Scandic Hotels and SoftBank Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Scandic Hotels Group and SoftBank Group Corp, you can compare the effects of market volatilities on Scandic Hotels and SoftBank Group 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 Scandic Hotels with a short position of SoftBank Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scandic Hotels and SoftBank Group.
Diversification Opportunities for Scandic Hotels and SoftBank Group
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Scandic and SoftBank is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Scandic Hotels Group and SoftBank Group Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SoftBank Group Corp and Scandic Hotels 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 Scandic Hotels Group are associated (or correlated) with SoftBank Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SoftBank Group Corp has no effect on the direction of Scandic Hotels i.e., Scandic Hotels and SoftBank Group go up and down completely randomly.
Pair Corralation between Scandic Hotels and SoftBank Group
Assuming the 90 days trading horizon Scandic Hotels is expected to generate 1.73 times less return on investment than SoftBank Group. But when comparing it to its historical volatility, Scandic Hotels Group is 1.83 times less risky than SoftBank Group. It trades about 0.07 of its potential returns per unit of risk. SoftBank Group Corp is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 858,600 in SoftBank Group Corp on September 23, 2024 and sell it today you would earn a total of 17,400 from holding SoftBank Group Corp or generate 2.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 68.18% |
Values | Daily Returns |
Scandic Hotels Group vs. SoftBank Group Corp
Performance |
Timeline |
Scandic Hotels Group |
SoftBank Group Corp |
Scandic Hotels and SoftBank Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Scandic Hotels and SoftBank Group
The main advantage of trading using opposite Scandic Hotels and SoftBank Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scandic Hotels position performs unexpectedly, SoftBank Group 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 SoftBank Group will offset losses from the drop in SoftBank Group's long position.Scandic Hotels vs. Uniper SE | Scandic Hotels vs. Mulberry Group PLC | Scandic Hotels vs. London Security Plc | Scandic Hotels vs. Triad Group PLC |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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