Correlation Between Kingstate Electronics and Chang Type
Can any of the company-specific risk be diversified away by investing in both Kingstate Electronics and Chang Type 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 Kingstate Electronics and Chang Type into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kingstate Electronics and Chang Type Industrial, you can compare the effects of market volatilities on Kingstate Electronics and Chang Type 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 Kingstate Electronics with a short position of Chang Type. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingstate Electronics and Chang Type.
Diversification Opportunities for Kingstate Electronics and Chang Type
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Kingstate and Chang is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Kingstate Electronics and Chang Type Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chang Type Industrial and Kingstate 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 Kingstate Electronics are associated (or correlated) with Chang Type. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chang Type Industrial has no effect on the direction of Kingstate Electronics i.e., Kingstate Electronics and Chang Type go up and down completely randomly.
Pair Corralation between Kingstate Electronics and Chang Type
Assuming the 90 days trading horizon Kingstate Electronics is expected to generate 0.99 times more return on investment than Chang Type. However, Kingstate Electronics is 1.01 times less risky than Chang Type. It trades about -0.16 of its potential returns per unit of risk. Chang Type Industrial is currently generating about -0.33 per unit of risk. If you would invest 4,775 in Kingstate Electronics on September 23, 2024 and sell it today you would lose (610.00) from holding Kingstate Electronics or give up 12.77% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kingstate Electronics vs. Chang Type Industrial
Performance |
Timeline |
Kingstate Electronics |
Chang Type Industrial |
Kingstate Electronics and Chang Type Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingstate Electronics and Chang Type
The main advantage of trading using opposite Kingstate Electronics and Chang Type positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingstate Electronics position performs unexpectedly, Chang Type 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 Chang Type will offset losses from the drop in Chang Type's long position.Kingstate Electronics vs. Advantech Co | Kingstate Electronics vs. IEI Integration Corp | Kingstate Electronics vs. Flytech Technology Co | Kingstate Electronics vs. Ennoconn 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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