Correlation Between InTest and Indie Semiconductor
Can any of the company-specific risk be diversified away by investing in both InTest 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 InTest and Indie Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between inTest and indie Semiconductor, you can compare the effects of market volatilities on InTest 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 InTest with a short position of Indie Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of InTest and Indie Semiconductor.
Diversification Opportunities for InTest and Indie Semiconductor
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between InTest and Indie is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding inTest and indie Semiconductor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on indie Semiconductor and InTest 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 inTest 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 InTest i.e., InTest and Indie Semiconductor go up and down completely randomly.
Pair Corralation between InTest and Indie Semiconductor
Given the investment horizon of 90 days inTest is expected to under-perform the Indie Semiconductor. But the stock apears to be less risky and, when comparing its historical volatility, inTest is 1.39 times less risky than Indie Semiconductor. The stock trades about -0.01 of its potential returns per unit of risk. The indie Semiconductor is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 821.00 in indie Semiconductor on November 2, 2024 and sell it today you would lose (398.00) from holding indie Semiconductor or give up 48.48% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
inTest vs. indie Semiconductor
Performance |
| Timeline |
| inTest |
| indie Semiconductor |
InTest and Indie Semiconductor Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with InTest and Indie Semiconductor
The main advantage of trading using opposite InTest and Indie Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InTest 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.| InTest vs. Axcelis Technologies | InTest vs. Lam Research Corp | InTest vs. Photronics | InTest vs. indie Semiconductor |
| 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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