Correlation Between Feng Tay and Ruentex Industries
Can any of the company-specific risk be diversified away by investing in both Feng Tay and Ruentex Industries 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 Ruentex Industries 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 Ruentex Industries, you can compare the effects of market volatilities on Feng Tay and Ruentex Industries 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 Ruentex Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Feng Tay and Ruentex Industries.
Diversification Opportunities for Feng Tay and Ruentex Industries
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Feng and Ruentex is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Feng Tay Enterprises and Ruentex Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ruentex Industries 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 Ruentex Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ruentex Industries has no effect on the direction of Feng Tay i.e., Feng Tay and Ruentex Industries go up and down completely randomly.
Pair Corralation between Feng Tay and Ruentex Industries
Assuming the 90 days trading horizon Feng Tay Enterprises is expected to generate 1.81 times more return on investment than Ruentex Industries. However, Feng Tay is 1.81 times more volatile than Ruentex Industries. It trades about 0.11 of its potential returns per unit of risk. Ruentex Industries is currently generating about -0.17 per unit of risk. If you would invest 13,300 in Feng Tay Enterprises on September 17, 2024 and sell it today you would earn a total of 600.00 from holding Feng Tay Enterprises or generate 4.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Feng Tay Enterprises vs. Ruentex Industries
Performance |
Timeline |
Feng Tay Enterprises |
Ruentex Industries |
Feng Tay and Ruentex Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Feng Tay and Ruentex Industries
The main advantage of trading using opposite Feng Tay and Ruentex Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Feng Tay position performs unexpectedly, Ruentex Industries 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 Ruentex Industries will offset losses from the drop in Ruentex Industries' 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 |
Ruentex Industries vs. Feng Tay Enterprises | Ruentex Industries vs. Ruentex Development Co | Ruentex Industries vs. WiseChip Semiconductor | Ruentex Industries 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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