Correlation Between Image Systems and Boule Diagnostics
Can any of the company-specific risk be diversified away by investing in both Image Systems and Boule Diagnostics 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 Image Systems and Boule Diagnostics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Image Systems AB and Boule Diagnostics AB, you can compare the effects of market volatilities on Image Systems and Boule Diagnostics 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 Image Systems with a short position of Boule Diagnostics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Image Systems and Boule Diagnostics.
Diversification Opportunities for Image Systems and Boule Diagnostics
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Image and Boule is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Image Systems AB and Boule Diagnostics AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boule Diagnostics and Image Systems 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 Image Systems AB are associated (or correlated) with Boule Diagnostics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boule Diagnostics has no effect on the direction of Image Systems i.e., Image Systems and Boule Diagnostics go up and down completely randomly.
Pair Corralation between Image Systems and Boule Diagnostics
Assuming the 90 days horizon Image Systems AB is expected to generate 0.59 times more return on investment than Boule Diagnostics. However, Image Systems AB is 1.71 times less risky than Boule Diagnostics. It trades about -0.06 of its potential returns per unit of risk. Boule Diagnostics AB is currently generating about -0.05 per unit of risk. If you would invest 218.00 in Image Systems AB on April 22, 2025 and sell it today you would lose (31.00) from holding Image Systems AB or give up 14.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Image Systems AB vs. Boule Diagnostics AB
Performance |
Timeline |
Image Systems AB |
Boule Diagnostics |
Image Systems and Boule Diagnostics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Image Systems and Boule Diagnostics
The main advantage of trading using opposite Image Systems and Boule Diagnostics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Image Systems position performs unexpectedly, Boule Diagnostics 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 Boule Diagnostics will offset losses from the drop in Boule Diagnostics' long position.Image Systems vs. AB SKF | Image Systems vs. Tele2 AB | Image Systems vs. Sandvik AB | Image Systems vs. Skanska AB |
Boule Diagnostics vs. ADDvise Group B | Boule Diagnostics vs. Biotage AB | Boule Diagnostics vs. Innovative Eyewear | Boule Diagnostics vs. Repligen |
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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