Correlation Between Ruentex Development and Feng Hsin
Can any of the company-specific risk be diversified away by investing in both Ruentex Development and Feng Hsin 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 Ruentex Development and Feng Hsin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ruentex Development Co and Feng Hsin Steel, you can compare the effects of market volatilities on Ruentex Development and Feng Hsin 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 Ruentex Development with a short position of Feng Hsin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ruentex Development and Feng Hsin.
Diversification Opportunities for Ruentex Development and Feng Hsin
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ruentex and Feng is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Ruentex Development Co and Feng Hsin Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Feng Hsin Steel and Ruentex Development 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 Ruentex Development Co are associated (or correlated) with Feng Hsin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Feng Hsin Steel has no effect on the direction of Ruentex Development i.e., Ruentex Development and Feng Hsin go up and down completely randomly.
Pair Corralation between Ruentex Development and Feng Hsin
Assuming the 90 days trading horizon Ruentex Development Co is expected to under-perform the Feng Hsin. In addition to that, Ruentex Development is 1.16 times more volatile than Feng Hsin Steel. It trades about -0.18 of its total potential returns per unit of risk. Feng Hsin Steel is currently generating about -0.03 per unit of volatility. If you would invest 7,060 in Feng Hsin Steel on December 29, 2024 and sell it today you would lose (240.00) from holding Feng Hsin Steel or give up 3.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ruentex Development Co vs. Feng Hsin Steel
Performance |
Timeline |
Ruentex Development |
Feng Hsin Steel |
Ruentex Development and Feng Hsin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ruentex Development and Feng Hsin
The main advantage of trading using opposite Ruentex Development and Feng Hsin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ruentex Development position performs unexpectedly, Feng Hsin 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 Feng Hsin will offset losses from the drop in Feng Hsin's long position.Ruentex Development vs. Ruentex Industries | Ruentex Development vs. Pou Chen Corp | Ruentex Development vs. Fubon Financial Holding | Ruentex Development vs. Cathay Financial Holding |
Feng Hsin vs. Tung Ho Steel | Feng Hsin vs. U Ming Marine Transport | Feng Hsin vs. TSRC Corp | Feng Hsin vs. Cheng Shin Rubber |
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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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