Correlation Between Indie Semiconductor and Daqo New
Can any of the company-specific risk be diversified away by investing in both Indie Semiconductor and Daqo New 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 Indie Semiconductor and Daqo New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between indie Semiconductor and Daqo New Energy, you can compare the effects of market volatilities on Indie Semiconductor and Daqo New 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 Indie Semiconductor with a short position of Daqo New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indie Semiconductor and Daqo New.
Diversification Opportunities for Indie Semiconductor and Daqo New
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Indie and Daqo is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding indie Semiconductor and Daqo New Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daqo New Energy and Indie Semiconductor 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 indie Semiconductor are associated (or correlated) with Daqo New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daqo New Energy has no effect on the direction of Indie Semiconductor i.e., Indie Semiconductor and Daqo New go up and down completely randomly.
Pair Corralation between Indie Semiconductor and Daqo New
Given the investment horizon of 90 days indie Semiconductor is expected to generate 1.24 times more return on investment than Daqo New. However, Indie Semiconductor is 1.24 times more volatile than Daqo New Energy. It trades about 0.0 of its potential returns per unit of risk. Daqo New Energy is currently generating about -0.02 per unit of risk. If you would invest 709.00 in indie Semiconductor on October 4, 2024 and sell it today you would lose (290.00) from holding indie Semiconductor or give up 40.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
indie Semiconductor vs. Daqo New Energy
Performance |
Timeline |
indie Semiconductor |
Daqo New Energy |
Indie Semiconductor and Daqo New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indie Semiconductor and Daqo New
The main advantage of trading using opposite Indie Semiconductor and Daqo New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indie Semiconductor position performs unexpectedly, Daqo New 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 Daqo New will offset losses from the drop in Daqo New's long position.Indie Semiconductor vs. Diodes Incorporated | Indie Semiconductor vs. Daqo New Energy | Indie Semiconductor vs. MagnaChip Semiconductor | Indie Semiconductor vs. Nano Labs |
Daqo New vs. Axcelis Technologies | Daqo New vs. Kulicke and Soffa | Daqo New vs. Ultra Clean Holdings | Daqo New vs. Cohu Inc |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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