Correlation Between Kwong Fong and Gordon Auto
Can any of the company-specific risk be diversified away by investing in both Kwong Fong and Gordon Auto 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 Kwong Fong and Gordon Auto into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kwong Fong Industries and Gordon Auto Body, you can compare the effects of market volatilities on Kwong Fong and Gordon Auto 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 Kwong Fong with a short position of Gordon Auto. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kwong Fong and Gordon Auto.
Diversification Opportunities for Kwong Fong and Gordon Auto
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kwong and Gordon is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Kwong Fong Industries and Gordon Auto Body in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gordon Auto Body and Kwong Fong 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 Kwong Fong Industries are associated (or correlated) with Gordon Auto. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gordon Auto Body has no effect on the direction of Kwong Fong i.e., Kwong Fong and Gordon Auto go up and down completely randomly.
Pair Corralation between Kwong Fong and Gordon Auto
Assuming the 90 days trading horizon Kwong Fong Industries is expected to generate 0.57 times more return on investment than Gordon Auto. However, Kwong Fong Industries is 1.76 times less risky than Gordon Auto. It trades about 0.07 of its potential returns per unit of risk. Gordon Auto Body is currently generating about -0.02 per unit of risk. If you would invest 1,275 in Kwong Fong Industries on October 4, 2024 and sell it today you would earn a total of 20.00 from holding Kwong Fong Industries or generate 1.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kwong Fong Industries vs. Gordon Auto Body
Performance |
Timeline |
Kwong Fong Industries |
Gordon Auto Body |
Kwong Fong and Gordon Auto Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kwong Fong and Gordon Auto
The main advantage of trading using opposite Kwong Fong and Gordon Auto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kwong Fong position performs unexpectedly, Gordon Auto 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 Gordon Auto will offset losses from the drop in Gordon Auto's long position.Kwong Fong vs. Ruentex Development Co | Kwong Fong vs. Symtek Automation Asia | Kwong Fong vs. WiseChip Semiconductor | Kwong Fong vs. Novatek Microelectronics Corp |
Gordon Auto vs. Ruentex Development Co | Gordon Auto vs. Symtek Automation Asia | Gordon Auto vs. WiseChip Semiconductor | Gordon Auto 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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