Correlation Between Feng Tay and Reward Wool
Can any of the company-specific risk be diversified away by investing in both Feng Tay and Reward Wool 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 Reward Wool 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 Reward Wool Industry, you can compare the effects of market volatilities on Feng Tay and Reward Wool 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 Reward Wool. Check out your portfolio center. Please also check ongoing floating volatility patterns of Feng Tay and Reward Wool.
Diversification Opportunities for Feng Tay and Reward Wool
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Feng and Reward is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Feng Tay Enterprises and Reward Wool Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Reward Wool Industry 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 Reward Wool. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Reward Wool Industry has no effect on the direction of Feng Tay i.e., Feng Tay and Reward Wool go up and down completely randomly.
Pair Corralation between Feng Tay and Reward Wool
Assuming the 90 days trading horizon Feng Tay Enterprises is expected to generate 2.02 times more return on investment than Reward Wool. However, Feng Tay is 2.02 times more volatile than Reward Wool Industry. It trades about 0.0 of its potential returns per unit of risk. Reward Wool Industry is currently generating about -0.27 per unit of risk. If you would invest 14,050 in Feng Tay Enterprises on September 13, 2024 and sell it today you would lose (250.00) from holding Feng Tay Enterprises or give up 1.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Feng Tay Enterprises vs. Reward Wool Industry
Performance |
Timeline |
Feng Tay Enterprises |
Reward Wool Industry |
Feng Tay and Reward Wool Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Feng Tay and Reward Wool
The main advantage of trading using opposite Feng Tay and Reward Wool positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Feng Tay position performs unexpectedly, Reward Wool 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 Reward Wool will offset losses from the drop in Reward Wool'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 |
Reward Wool vs. Feng Tay Enterprises | Reward Wool vs. Ruentex Development Co | Reward Wool vs. WiseChip Semiconductor | Reward Wool 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 Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
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