Correlation Between Power Integrations and Nano Labs
Can any of the company-specific risk be diversified away by investing in both Power Integrations and Nano Labs 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 Power Integrations and Nano Labs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Integrations and Nano Labs, you can compare the effects of market volatilities on Power Integrations and Nano Labs 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 Power Integrations with a short position of Nano Labs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Integrations and Nano Labs.
Diversification Opportunities for Power Integrations and Nano Labs
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Power and Nano is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Power Integrations and Nano Labs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nano Labs and Power Integrations 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 Power Integrations are associated (or correlated) with Nano Labs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nano Labs has no effect on the direction of Power Integrations i.e., Power Integrations and Nano Labs go up and down completely randomly.
Pair Corralation between Power Integrations and Nano Labs
Given the investment horizon of 90 days Power Integrations is expected to generate 0.32 times more return on investment than Nano Labs. However, Power Integrations is 3.14 times less risky than Nano Labs. It trades about 0.08 of its potential returns per unit of risk. Nano Labs is currently generating about -0.23 per unit of risk. If you would invest 6,075 in Power Integrations on November 2, 2024 and sell it today you would earn a total of 185.00 from holding Power Integrations or generate 3.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Power Integrations vs. Nano Labs
Performance |
Timeline |
Power Integrations |
Nano Labs |
Power Integrations and Nano Labs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Integrations and Nano Labs
The main advantage of trading using opposite Power Integrations and Nano Labs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Integrations position performs unexpectedly, Nano Labs 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 Nano Labs will offset losses from the drop in Nano Labs' long position.Power Integrations vs. Diodes Incorporated | Power Integrations vs. MACOM Technology Solutions | Power Integrations vs. Cirrus Logic | Power Integrations vs. Amkor Technology |
Nano Labs vs. SEALSQ Corp | Nano Labs vs. GSI Technology | Nano Labs vs. SemiLEDS | Nano Labs vs. ChipMOS Technologies |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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