Correlation Between Kulicke and Indie Semiconductor
Can any of the company-specific risk be diversified away by investing in both Kulicke and Indie Semiconductor 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 Kulicke and Indie Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kulicke and Soffa and indie Semiconductor, you can compare the effects of market volatilities on Kulicke and Indie Semiconductor 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 Kulicke with a short position of Indie Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kulicke and Indie Semiconductor.
Diversification Opportunities for Kulicke and Indie Semiconductor
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Kulicke and Indie is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Kulicke and Soffa and indie Semiconductor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on indie Semiconductor and Kulicke 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 Kulicke and Soffa are associated (or correlated) with Indie Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of indie Semiconductor has no effect on the direction of Kulicke i.e., Kulicke and Indie Semiconductor go up and down completely randomly.
Pair Corralation between Kulicke and Indie Semiconductor
Given the investment horizon of 90 days Kulicke and Soffa is expected to generate 0.39 times more return on investment than Indie Semiconductor. However, Kulicke and Soffa is 2.54 times less risky than Indie Semiconductor. It trades about -0.22 of its potential returns per unit of risk. indie Semiconductor is currently generating about -0.18 per unit of risk. If you would invest 4,624 in Kulicke and Soffa on December 29, 2024 and sell it today you would lose (1,174) from holding Kulicke and Soffa or give up 25.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kulicke and Soffa vs. indie Semiconductor
Performance |
Timeline |
Kulicke and Soffa |
indie Semiconductor |
Kulicke and Indie Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kulicke and Indie Semiconductor
The main advantage of trading using opposite Kulicke and Indie Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kulicke position performs unexpectedly, Indie Semiconductor 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 Indie Semiconductor will offset losses from the drop in Indie Semiconductor's long position.Kulicke vs. Ultra Clean Holdings | Kulicke vs. Ichor Holdings | Kulicke vs. Entegris | Kulicke vs. Amtech Systems |
Indie Semiconductor vs. Axcelis Technologies | Indie Semiconductor vs. inTest | Indie Semiconductor vs. Lam Research Corp | Indie Semiconductor vs. Photronics |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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