Correlation Between Laser Photonics and Atlas Copco
Can any of the company-specific risk be diversified away by investing in both Laser Photonics and Atlas Copco 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 Laser Photonics and Atlas Copco into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Laser Photonics and Atlas Copco AB, you can compare the effects of market volatilities on Laser Photonics and Atlas Copco 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 Laser Photonics with a short position of Atlas Copco. Check out your portfolio center. Please also check ongoing floating volatility patterns of Laser Photonics and Atlas Copco.
Diversification Opportunities for Laser Photonics and Atlas Copco
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Laser and Atlas is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Laser Photonics and Atlas Copco AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atlas Copco AB and Laser Photonics 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 Laser Photonics are associated (or correlated) with Atlas Copco. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atlas Copco AB has no effect on the direction of Laser Photonics i.e., Laser Photonics and Atlas Copco go up and down completely randomly.
Pair Corralation between Laser Photonics and Atlas Copco
Given the investment horizon of 90 days Laser Photonics is expected to generate 7.4 times more return on investment than Atlas Copco. However, Laser Photonics is 7.4 times more volatile than Atlas Copco AB. It trades about 0.12 of its potential returns per unit of risk. Atlas Copco AB is currently generating about -0.01 per unit of risk. If you would invest 192.00 in Laser Photonics on September 26, 2024 and sell it today you would earn a total of 357.00 from holding Laser Photonics or generate 185.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Laser Photonics vs. Atlas Copco AB
Performance |
Timeline |
Laser Photonics |
Atlas Copco AB |
Laser Photonics and Atlas Copco Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Laser Photonics and Atlas Copco
The main advantage of trading using opposite Laser Photonics and Atlas Copco positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Laser Photonics position performs unexpectedly, Atlas Copco 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 Atlas Copco will offset losses from the drop in Atlas Copco's long position.Laser Photonics vs. Nuburu Inc | Laser Photonics vs. JE Cleantech Holdings | Laser Photonics vs. Reelcause | Laser Photonics vs. Shapeways Holdings, Common |
Atlas Copco vs. Shapeways Holdings, Common | Atlas Copco vs. JE Cleantech Holdings | Atlas Copco vs. Greenland Acquisition Corp | Atlas Copco vs. Laser Photonics |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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