Correlation Between Corning Incorporated and Burnham Holdings
Can any of the company-specific risk be diversified away by investing in both Corning Incorporated and Burnham Holdings 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 Corning Incorporated and Burnham Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Corning Incorporated and Burnham Holdings PFD, you can compare the effects of market volatilities on Corning Incorporated and Burnham Holdings 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 Corning Incorporated with a short position of Burnham Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Corning Incorporated and Burnham Holdings.
Diversification Opportunities for Corning Incorporated and Burnham Holdings
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Corning and Burnham is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Corning Incorporated and Burnham Holdings PFD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burnham Holdings PFD and Corning Incorporated 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 Corning Incorporated are associated (or correlated) with Burnham Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Burnham Holdings PFD has no effect on the direction of Corning Incorporated i.e., Corning Incorporated and Burnham Holdings go up and down completely randomly.
Pair Corralation between Corning Incorporated and Burnham Holdings
Considering the 90-day investment horizon Corning Incorporated is expected to under-perform the Burnham Holdings. In addition to that, Corning Incorporated is 1.9 times more volatile than Burnham Holdings PFD. It trades about -0.05 of its total potential returns per unit of risk. Burnham Holdings PFD is currently generating about 0.22 per unit of volatility. If you would invest 5,175 in Burnham Holdings PFD on October 10, 2024 and sell it today you would earn a total of 150.00 from holding Burnham Holdings PFD or generate 2.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Corning Incorporated vs. Burnham Holdings PFD
Performance |
Timeline |
Corning Incorporated |
Burnham Holdings PFD |
Corning Incorporated and Burnham Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Corning Incorporated and Burnham Holdings
The main advantage of trading using opposite Corning Incorporated and Burnham Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Corning Incorporated position performs unexpectedly, Burnham Holdings 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 Burnham Holdings will offset losses from the drop in Burnham Holdings' long position.Corning Incorporated vs. OSI Systems | Corning Incorporated vs. Fabrinet | Corning Incorporated vs. Jabil Circuit | Corning Incorporated vs. Vicor |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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