Correlation Between Taiwan Mobile and Fubon Financial
Can any of the company-specific risk be diversified away by investing in both Taiwan Mobile and Fubon Financial 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 Taiwan Mobile and Fubon Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Taiwan Mobile Co and Fubon Financial Holding, you can compare the effects of market volatilities on Taiwan Mobile and Fubon Financial 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 Taiwan Mobile with a short position of Fubon Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Taiwan Mobile and Fubon Financial.
Diversification Opportunities for Taiwan Mobile and Fubon Financial
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Taiwan and Fubon is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Taiwan Mobile Co and Fubon Financial Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fubon Financial Holding and Taiwan Mobile 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 Taiwan Mobile Co are associated (or correlated) with Fubon Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fubon Financial Holding has no effect on the direction of Taiwan Mobile i.e., Taiwan Mobile and Fubon Financial go up and down completely randomly.
Pair Corralation between Taiwan Mobile and Fubon Financial
Assuming the 90 days trading horizon Taiwan Mobile is expected to generate 2.69 times less return on investment than Fubon Financial. But when comparing it to its historical volatility, Taiwan Mobile Co is 1.32 times less risky than Fubon Financial. It trades about 0.04 of its potential returns per unit of risk. Fubon Financial Holding is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 6,100 in Fubon Financial Holding on October 13, 2024 and sell it today you would earn a total of 2,890 from holding Fubon Financial Holding or generate 47.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Taiwan Mobile Co vs. Fubon Financial Holding
Performance |
Timeline |
Taiwan Mobile |
Fubon Financial Holding |
Taiwan Mobile and Fubon Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Taiwan Mobile and Fubon Financial
The main advantage of trading using opposite Taiwan Mobile and Fubon Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taiwan Mobile position performs unexpectedly, Fubon Financial 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 Fubon Financial will offset losses from the drop in Fubon Financial's long position.Taiwan Mobile vs. Chunghwa Telecom Co | Taiwan Mobile vs. Far EasTone Telecommunications | Taiwan Mobile vs. CTBC Financial Holding | Taiwan Mobile vs. Fubon Financial Holding |
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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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