Correlation Between Solstad Offshore and Chunghwa Telecom
Can any of the company-specific risk be diversified away by investing in both Solstad Offshore and Chunghwa Telecom 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 Solstad Offshore and Chunghwa Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Solstad Offshore ASA and Chunghwa Telecom Co, you can compare the effects of market volatilities on Solstad Offshore and Chunghwa Telecom 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 Solstad Offshore with a short position of Chunghwa Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Solstad Offshore and Chunghwa Telecom.
Diversification Opportunities for Solstad Offshore and Chunghwa Telecom
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Solstad and Chunghwa is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Solstad Offshore ASA and Chunghwa Telecom Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chunghwa Telecom and Solstad Offshore 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 Solstad Offshore ASA are associated (or correlated) with Chunghwa Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chunghwa Telecom has no effect on the direction of Solstad Offshore i.e., Solstad Offshore and Chunghwa Telecom go up and down completely randomly.
Pair Corralation between Solstad Offshore and Chunghwa Telecom
Assuming the 90 days trading horizon Solstad Offshore ASA is expected to generate 4.62 times more return on investment than Chunghwa Telecom. However, Solstad Offshore is 4.62 times more volatile than Chunghwa Telecom Co. It trades about 0.03 of its potential returns per unit of risk. Chunghwa Telecom Co is currently generating about 0.04 per unit of risk. If you would invest 278.00 in Solstad Offshore ASA on September 3, 2024 and sell it today you would earn a total of 71.00 from holding Solstad Offshore ASA or generate 25.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Solstad Offshore ASA vs. Chunghwa Telecom Co
Performance |
Timeline |
Solstad Offshore ASA |
Chunghwa Telecom |
Solstad Offshore and Chunghwa Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Solstad Offshore and Chunghwa Telecom
The main advantage of trading using opposite Solstad Offshore and Chunghwa Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Solstad Offshore position performs unexpectedly, Chunghwa Telecom 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 Chunghwa Telecom will offset losses from the drop in Chunghwa Telecom's long position.Solstad Offshore vs. Liberty Broadband | Solstad Offshore vs. CHINA EDUCATION GROUP | Solstad Offshore vs. BROADSTNET LEADL 00025 | Solstad Offshore vs. EEDUCATION ALBERT AB |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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