Correlation Between IPG Photonics and Constellation Brands
Can any of the company-specific risk be diversified away by investing in both IPG Photonics and Constellation Brands 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 IPG Photonics and Constellation Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IPG Photonics and Constellation Brands Class, you can compare the effects of market volatilities on IPG Photonics and Constellation Brands 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 IPG Photonics with a short position of Constellation Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPG Photonics and Constellation Brands.
Diversification Opportunities for IPG Photonics and Constellation Brands
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between IPG and Constellation is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding IPG Photonics and Constellation Brands Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Constellation Brands and IPG 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 IPG Photonics are associated (or correlated) with Constellation Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Constellation Brands has no effect on the direction of IPG Photonics i.e., IPG Photonics and Constellation Brands go up and down completely randomly.
Pair Corralation between IPG Photonics and Constellation Brands
Given the investment horizon of 90 days IPG Photonics is expected to under-perform the Constellation Brands. In addition to that, IPG Photonics is 1.93 times more volatile than Constellation Brands Class. It trades about -0.03 of its total potential returns per unit of risk. Constellation Brands Class is currently generating about 0.02 per unit of volatility. If you would invest 21,027 in Constellation Brands Class on October 5, 2024 and sell it today you would earn a total of 1,230 from holding Constellation Brands Class or generate 5.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
IPG Photonics vs. Constellation Brands Class
Performance |
Timeline |
IPG Photonics |
Constellation Brands |
IPG Photonics and Constellation Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPG Photonics and Constellation Brands
The main advantage of trading using opposite IPG Photonics and Constellation Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPG Photonics position performs unexpectedly, Constellation Brands 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 Constellation Brands will offset losses from the drop in Constellation Brands' long position.IPG Photonics vs. Teradyne | IPG Photonics vs. Ultra Clean Holdings | IPG Photonics vs. Onto Innovation | IPG Photonics vs. Cohu Inc |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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