Correlation Between China Bills and Yuanta Financial
Can any of the company-specific risk be diversified away by investing in both China Bills and Yuanta 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 China Bills and Yuanta Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Bills Finance and Yuanta Financial Holdings, you can compare the effects of market volatilities on China Bills and Yuanta 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 China Bills with a short position of Yuanta Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Bills and Yuanta Financial.
Diversification Opportunities for China Bills and Yuanta Financial
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Yuanta is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding China Bills Finance and Yuanta Financial Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yuanta Financial Holdings and China Bills 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 China Bills Finance are associated (or correlated) with Yuanta Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yuanta Financial Holdings has no effect on the direction of China Bills i.e., China Bills and Yuanta Financial go up and down completely randomly.
Pair Corralation between China Bills and Yuanta Financial
Assuming the 90 days trading horizon China Bills is expected to generate 4.64 times less return on investment than Yuanta Financial. But when comparing it to its historical volatility, China Bills Finance is 2.75 times less risky than Yuanta Financial. It trades about 0.14 of its potential returns per unit of risk. Yuanta Financial Holdings is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 3,280 in Yuanta Financial Holdings on September 19, 2024 and sell it today you would earn a total of 205.00 from holding Yuanta Financial Holdings or generate 6.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Bills Finance vs. Yuanta Financial Holdings
Performance |
Timeline |
China Bills Finance |
Yuanta Financial Holdings |
China Bills and Yuanta Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Bills and Yuanta Financial
The main advantage of trading using opposite China Bills and Yuanta Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Bills position performs unexpectedly, Yuanta 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 Yuanta Financial will offset losses from the drop in Yuanta Financial's long position.China Bills vs. Chang Hwa Commercial | China Bills vs. IBF Financial Holdings | China Bills vs. Taiwan Business Bank | China Bills vs. Yuanta Financial Holdings |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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