Correlation Between Chailease Holding and Nankang Rubber
Can any of the company-specific risk be diversified away by investing in both Chailease Holding and Nankang Rubber 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 Chailease Holding and Nankang Rubber into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chailease Holding Co and Nankang Rubber Tire, you can compare the effects of market volatilities on Chailease Holding and Nankang Rubber 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 Chailease Holding with a short position of Nankang Rubber. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chailease Holding and Nankang Rubber.
Diversification Opportunities for Chailease Holding and Nankang Rubber
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Chailease and Nankang is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Chailease Holding Co and Nankang Rubber Tire in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nankang Rubber Tire and Chailease Holding 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 Chailease Holding Co are associated (or correlated) with Nankang Rubber. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nankang Rubber Tire has no effect on the direction of Chailease Holding i.e., Chailease Holding and Nankang Rubber go up and down completely randomly.
Pair Corralation between Chailease Holding and Nankang Rubber
Assuming the 90 days trading horizon Chailease Holding Co is expected to under-perform the Nankang Rubber. In addition to that, Chailease Holding is 1.18 times more volatile than Nankang Rubber Tire. It trades about -0.2 of its total potential returns per unit of risk. Nankang Rubber Tire is currently generating about -0.05 per unit of volatility. If you would invest 4,780 in Nankang Rubber Tire on October 11, 2024 and sell it today you would lose (315.00) from holding Nankang Rubber Tire or give up 6.59% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chailease Holding Co vs. Nankang Rubber Tire
Performance |
Timeline |
Chailease Holding |
Nankang Rubber Tire |
Chailease Holding and Nankang Rubber Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chailease Holding and Nankang Rubber
The main advantage of trading using opposite Chailease Holding and Nankang Rubber positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chailease Holding position performs unexpectedly, Nankang Rubber 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 Nankang Rubber will offset losses from the drop in Nankang Rubber's long position.Chailease Holding vs. Fubon Financial Holding | Chailease Holding vs. CTBC Financial Holding | Chailease Holding vs. Mega Financial Holding | Chailease Holding vs. Cathay Financial Holding |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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