Correlation Between Sims Metal and Chunghwa Telecom
Can any of the company-specific risk be diversified away by investing in both Sims Metal 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 Sims Metal and Chunghwa Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sims Metal Management and Chunghwa Telecom Co, you can compare the effects of market volatilities on Sims Metal 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 Sims Metal with a short position of Chunghwa Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sims Metal and Chunghwa Telecom.
Diversification Opportunities for Sims Metal and Chunghwa Telecom
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Sims and Chunghwa is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Sims Metal Management and Chunghwa Telecom Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chunghwa Telecom and Sims Metal 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 Sims Metal Management 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 Sims Metal i.e., Sims Metal and Chunghwa Telecom go up and down completely randomly.
Pair Corralation between Sims Metal and Chunghwa Telecom
Assuming the 90 days horizon Sims Metal is expected to generate 2.07 times less return on investment than Chunghwa Telecom. In addition to that, Sims Metal is 4.05 times more volatile than Chunghwa Telecom Co. It trades about 0.02 of its total potential returns per unit of risk. Chunghwa Telecom Co is currently generating about 0.21 per unit of volatility. If you would invest 3,540 in Chunghwa Telecom Co on September 17, 2024 and sell it today you would earn a total of 80.00 from holding Chunghwa Telecom Co or generate 2.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sims Metal Management vs. Chunghwa Telecom Co
Performance |
Timeline |
Sims Metal Management |
Chunghwa Telecom |
Sims Metal and Chunghwa Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sims Metal and Chunghwa Telecom
The main advantage of trading using opposite Sims Metal and Chunghwa Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sims Metal 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.Sims Metal vs. Reliance Steel Aluminum | Sims Metal vs. Superior Plus Corp | Sims Metal vs. SIVERS SEMICONDUCTORS AB | Sims Metal vs. Norsk Hydro ASA |
Chunghwa Telecom vs. Superior Plus Corp | Chunghwa Telecom vs. SIVERS SEMICONDUCTORS AB | Chunghwa Telecom vs. Norsk Hydro ASA | Chunghwa Telecom vs. Reliance Steel Aluminum |
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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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