Correlation Between YuantaP Shares and Giant Manufacturing
Can any of the company-specific risk be diversified away by investing in both YuantaP Shares and Giant Manufacturing 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 YuantaP Shares and Giant Manufacturing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YuantaP shares SSE50 and Giant Manufacturing Co, you can compare the effects of market volatilities on YuantaP Shares and Giant Manufacturing 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 YuantaP Shares with a short position of Giant Manufacturing. Check out your portfolio center. Please also check ongoing floating volatility patterns of YuantaP Shares and Giant Manufacturing.
Diversification Opportunities for YuantaP Shares and Giant Manufacturing
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between YuantaP and Giant is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding YuantaP shares SSE50 and Giant Manufacturing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Giant Manufacturing and YuantaP Shares 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 YuantaP shares SSE50 are associated (or correlated) with Giant Manufacturing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Giant Manufacturing has no effect on the direction of YuantaP Shares i.e., YuantaP Shares and Giant Manufacturing go up and down completely randomly.
Pair Corralation between YuantaP Shares and Giant Manufacturing
Assuming the 90 days trading horizon YuantaP shares SSE50 is expected to generate 0.61 times more return on investment than Giant Manufacturing. However, YuantaP shares SSE50 is 1.63 times less risky than Giant Manufacturing. It trades about 0.01 of its potential returns per unit of risk. Giant Manufacturing Co is currently generating about -0.02 per unit of risk. If you would invest 3,016 in YuantaP shares SSE50 on September 5, 2024 and sell it today you would earn a total of 101.00 from holding YuantaP shares SSE50 or generate 3.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
YuantaP shares SSE50 vs. Giant Manufacturing Co
Performance |
Timeline |
YuantaP shares SSE50 |
Giant Manufacturing |
YuantaP Shares and Giant Manufacturing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YuantaP Shares and Giant Manufacturing
The main advantage of trading using opposite YuantaP Shares and Giant Manufacturing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YuantaP Shares position performs unexpectedly, Giant Manufacturing 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 Giant Manufacturing will offset losses from the drop in Giant Manufacturing's long position.YuantaP Shares vs. Ruentex Development Co | YuantaP Shares vs. Symtek Automation Asia | YuantaP Shares vs. CTCI Corp | YuantaP Shares vs. Information Technology Total |
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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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