Correlation Between Chia Her and Giant Manufacturing
Can any of the company-specific risk be diversified away by investing in both Chia Her 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 Chia Her and Giant Manufacturing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chia Her Industrial and Giant Manufacturing Co, you can compare the effects of market volatilities on Chia Her 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 Chia Her with a short position of Giant Manufacturing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chia Her and Giant Manufacturing.
Diversification Opportunities for Chia Her and Giant Manufacturing
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chia and Giant is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Chia Her Industrial and Giant Manufacturing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Giant Manufacturing and Chia Her 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 Chia Her Industrial 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 Chia Her i.e., Chia Her and Giant Manufacturing go up and down completely randomly.
Pair Corralation between Chia Her and Giant Manufacturing
Assuming the 90 days trading horizon Chia Her Industrial is expected to under-perform the Giant Manufacturing. But the stock apears to be less risky and, when comparing its historical volatility, Chia Her Industrial is 1.18 times less risky than Giant Manufacturing. The stock trades about -0.24 of its potential returns per unit of risk. The Giant Manufacturing Co is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 14,300 in Giant Manufacturing Co on December 29, 2024 and sell it today you would earn a total of 100.00 from holding Giant Manufacturing Co or generate 0.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chia Her Industrial vs. Giant Manufacturing Co
Performance |
Timeline |
Chia Her Industrial |
Giant Manufacturing |
Chia Her and Giant Manufacturing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chia Her and Giant Manufacturing
The main advantage of trading using opposite Chia Her and Giant Manufacturing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chia Her 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.Chia Her vs. Carnival Industrial Corp | Chia Her vs. I Hwa Industrial Co | Chia Her vs. Hung Chou Fiber | Chia Her vs. Tung Ho Textile |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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