Correlation Between Winbond Electronics and Ampoc Far
Can any of the company-specific risk be diversified away by investing in both Winbond Electronics and Ampoc Far 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 Winbond Electronics and Ampoc Far into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Winbond Electronics Corp and Ampoc Far East Co, you can compare the effects of market volatilities on Winbond Electronics and Ampoc Far 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 Winbond Electronics with a short position of Ampoc Far. Check out your portfolio center. Please also check ongoing floating volatility patterns of Winbond Electronics and Ampoc Far.
Diversification Opportunities for Winbond Electronics and Ampoc Far
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Winbond and Ampoc is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Winbond Electronics Corp and Ampoc Far East Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ampoc Far East and Winbond Electronics 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 Winbond Electronics Corp are associated (or correlated) with Ampoc Far. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ampoc Far East has no effect on the direction of Winbond Electronics i.e., Winbond Electronics and Ampoc Far go up and down completely randomly.
Pair Corralation between Winbond Electronics and Ampoc Far
Assuming the 90 days trading horizon Winbond Electronics Corp is expected to under-perform the Ampoc Far. But the stock apears to be less risky and, when comparing its historical volatility, Winbond Electronics Corp is 1.24 times less risky than Ampoc Far. The stock trades about -0.4 of its potential returns per unit of risk. The Ampoc Far East Co is currently generating about -0.2 of returns per unit of risk over similar time horizon. If you would invest 11,750 in Ampoc Far East Co on September 3, 2024 and sell it today you would lose (1,300) from holding Ampoc Far East Co or give up 11.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Winbond Electronics Corp vs. Ampoc Far East Co
Performance |
Timeline |
Winbond Electronics Corp |
Ampoc Far East |
Winbond Electronics and Ampoc Far Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Winbond Electronics and Ampoc Far
The main advantage of trading using opposite Winbond Electronics and Ampoc Far positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Winbond Electronics position performs unexpectedly, Ampoc Far 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 Ampoc Far will offset losses from the drop in Ampoc Far's long position.Winbond Electronics vs. Macronix International Co | Winbond Electronics vs. United Microelectronics | Winbond Electronics vs. Mosel Vitelic | Winbond Electronics vs. Nanya Technology Corp |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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