Correlation Between Scandic Hotels and IXICO PLC
Can any of the company-specific risk be diversified away by investing in both Scandic Hotels and IXICO PLC 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 IXICO PLC 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 IXICO PLC, you can compare the effects of market volatilities on Scandic Hotels and IXICO PLC 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 IXICO PLC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scandic Hotels and IXICO PLC.
Diversification Opportunities for Scandic Hotels and IXICO PLC
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Scandic and IXICO is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Scandic Hotels Group and IXICO PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IXICO PLC 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 IXICO PLC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IXICO PLC has no effect on the direction of Scandic Hotels i.e., Scandic Hotels and IXICO PLC go up and down completely randomly.
Pair Corralation between Scandic Hotels and IXICO PLC
Assuming the 90 days trading horizon Scandic Hotels is expected to generate 1.82 times less return on investment than IXICO PLC. But when comparing it to its historical volatility, Scandic Hotels Group is 2.33 times less risky than IXICO PLC. It trades about 0.1 of its potential returns per unit of risk. IXICO PLC is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,125 in IXICO PLC on September 20, 2024 and sell it today you would earn a total of 50.00 from holding IXICO PLC or generate 4.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Scandic Hotels Group vs. IXICO PLC
Performance |
| Timeline |
| Scandic Hotels Group |
| IXICO PLC |
Scandic Hotels and IXICO PLC Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Scandic Hotels and IXICO PLC
The main advantage of trading using opposite Scandic Hotels and IXICO PLC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scandic Hotels position performs unexpectedly, IXICO PLC 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 IXICO PLC will offset losses from the drop in IXICO PLC's long position.| Scandic Hotels vs. Samsung Electronics Co | Scandic Hotels vs. Samsung Electronics Co | Scandic Hotels vs. Hyundai Motor | Scandic Hotels vs. Reliance Industries Ltd |
| IXICO PLC vs. Odfjell Drilling | IXICO PLC vs. Telecom Italia SpA | IXICO PLC vs. Pentair PLC | IXICO PLC vs. Verizon Communications |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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