Correlation Between Nano Labs and Power Integrations
Can any of the company-specific risk be diversified away by investing in both Nano Labs and Power Integrations 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 Nano Labs and Power Integrations into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nano Labs and Power Integrations, you can compare the effects of market volatilities on Nano Labs and Power Integrations 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 Nano Labs with a short position of Power Integrations. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nano Labs and Power Integrations.
Diversification Opportunities for Nano Labs and Power Integrations
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Nano and Power is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Nano Labs and Power Integrations in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Integrations and Nano Labs 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 Nano Labs are associated (or correlated) with Power Integrations. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Integrations has no effect on the direction of Nano Labs i.e., Nano Labs and Power Integrations go up and down completely randomly.
Pair Corralation between Nano Labs and Power Integrations
Allowing for the 90-day total investment horizon Nano Labs is expected to generate 5.29 times more return on investment than Power Integrations. However, Nano Labs is 5.29 times more volatile than Power Integrations. It trades about 0.04 of its potential returns per unit of risk. Power Integrations is currently generating about -0.02 per unit of risk. If you would invest 1,350 in Nano Labs on October 21, 2024 and sell it today you would lose (579.00) from holding Nano Labs or give up 42.89% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Nano Labs vs. Power Integrations
Performance |
| Timeline |
| Nano Labs |
| Power Integrations |
Nano Labs and Power Integrations Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Nano Labs and Power Integrations
The main advantage of trading using opposite Nano Labs and Power Integrations positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nano Labs position performs unexpectedly, Power Integrations 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 Power Integrations will offset losses from the drop in Power Integrations' long position.| Nano Labs vs. SEALSQ Corp | Nano Labs vs. GSI Technology | Nano Labs vs. SemiLEDS | Nano Labs vs. ChipMOS Technologies |
| Power Integrations vs. Diodes Incorporated | Power Integrations vs. MACOM Technology Solutions | Power Integrations vs. Cirrus Logic | Power Integrations vs. Amkor Technology |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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