Correlation Between Feng Tay and Chia Her
Can any of the company-specific risk be diversified away by investing in both Feng Tay and Chia Her 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 Feng Tay and Chia Her into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Feng Tay Enterprises and Chia Her Industrial, you can compare the effects of market volatilities on Feng Tay and Chia Her 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 Feng Tay with a short position of Chia Her. Check out your portfolio center. Please also check ongoing floating volatility patterns of Feng Tay and Chia Her.
Diversification Opportunities for Feng Tay and Chia Her
Excellent diversification
The 3 months correlation between Feng and Chia is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Feng Tay Enterprises and Chia Her Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chia Her Industrial and Feng Tay 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 Feng Tay Enterprises are associated (or correlated) with Chia Her. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chia Her Industrial has no effect on the direction of Feng Tay i.e., Feng Tay and Chia Her go up and down completely randomly.
Pair Corralation between Feng Tay and Chia Her
Assuming the 90 days trading horizon Feng Tay Enterprises is expected to under-perform the Chia Her. But the stock apears to be less risky and, when comparing its historical volatility, Feng Tay Enterprises is 1.81 times less risky than Chia Her. The stock trades about -0.03 of its potential returns per unit of risk. The Chia Her Industrial is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,525 in Chia Her Industrial on September 12, 2024 and sell it today you would earn a total of 1,100 from holding Chia Her Industrial or generate 72.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Feng Tay Enterprises vs. Chia Her Industrial
Performance |
Timeline |
Feng Tay Enterprises |
Chia Her Industrial |
Feng Tay and Chia Her Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Feng Tay and Chia Her
The main advantage of trading using opposite Feng Tay and Chia Her positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Feng Tay position performs unexpectedly, Chia Her 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 Chia Her will offset losses from the drop in Chia Her's long position.Feng Tay vs. Pou Chen Corp | Feng Tay vs. Eclat Textile Co | Feng Tay vs. Hotai Motor Co | Feng Tay vs. Giant Manufacturing Co |
Chia Her vs. Feng Tay Enterprises | Chia Her vs. Ruentex Development Co | Chia Her vs. WiseChip Semiconductor | Chia Her vs. Novatek Microelectronics Corp |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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