Correlation Between Valens and Nano Labs
Can any of the company-specific risk be diversified away by investing in both Valens 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 Valens and Nano Labs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Valens and Nano Labs, you can compare the effects of market volatilities on Valens 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 Valens with a short position of Nano Labs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Valens and Nano Labs.
Diversification Opportunities for Valens and Nano Labs
Weak diversification
The 3 months correlation between Valens and Nano is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Valens and Nano Labs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nano Labs and Valens 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 Valens 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 Valens i.e., Valens and Nano Labs go up and down completely randomly.
Pair Corralation between Valens and Nano Labs
Considering the 90-day investment horizon Valens is expected to under-perform the Nano Labs. But the stock apears to be less risky and, when comparing its historical volatility, Valens is 3.43 times less risky than Nano Labs. The stock trades about -0.04 of its potential returns per unit of risk. The Nano Labs is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,483 in Nano Labs on September 26, 2024 and sell it today you would lose (584.00) from holding Nano Labs or give up 39.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Valens vs. Nano Labs
Performance |
Timeline |
Valens |
Nano Labs |
Valens and Nano Labs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Valens and Nano Labs
The main advantage of trading using opposite Valens and Nano Labs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Valens 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.The idea behind Valens and Nano Labs pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Nano Labs vs. SEALSQ Corp | Nano Labs vs. GSI Technology | Nano Labs vs. ChipMOS Technologies | Nano Labs vs. Wisekey International Holding |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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