Correlation Between Grape King and Chunghwa Telecom
Can any of the company-specific risk be diversified away by investing in both Grape King 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 Grape King and Chunghwa Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grape King Bio and Chunghwa Telecom Co, you can compare the effects of market volatilities on Grape King 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 Grape King with a short position of Chunghwa Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grape King and Chunghwa Telecom.
Diversification Opportunities for Grape King and Chunghwa Telecom
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Grape and Chunghwa is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Grape King Bio and Chunghwa Telecom Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chunghwa Telecom and Grape King 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 Grape King Bio 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 Grape King i.e., Grape King and Chunghwa Telecom go up and down completely randomly.
Pair Corralation between Grape King and Chunghwa Telecom
Assuming the 90 days trading horizon Grape King Bio is expected to generate 1.68 times more return on investment than Chunghwa Telecom. However, Grape King is 1.68 times more volatile than Chunghwa Telecom Co. It trades about -0.01 of its potential returns per unit of risk. Chunghwa Telecom Co is currently generating about -0.03 per unit of risk. If you would invest 15,950 in Grape King Bio on September 1, 2024 and sell it today you would lose (450.00) from holding Grape King Bio or give up 2.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Grape King Bio vs. Chunghwa Telecom Co
Performance |
Timeline |
Grape King Bio |
Chunghwa Telecom |
Grape King and Chunghwa Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grape King and Chunghwa Telecom
The main advantage of trading using opposite Grape King and Chunghwa Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grape King 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.Grape King vs. Standard Foods Corp | Grape King vs. Eclat Textile Co | Grape King vs. Feng Tay Enterprises | Grape King vs. China Steel Chemical |
Chunghwa Telecom vs. Taiwan Mobile Co | Chunghwa Telecom vs. China Steel Corp | Chunghwa Telecom vs. Formosa Plastics Corp | Chunghwa Telecom vs. Cathay Financial Holding |
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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