Correlation Between Investor and Industrivarden
Can any of the company-specific risk be diversified away by investing in both Investor and Industrivarden 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 Investor and Industrivarden into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Investor AB ser and Industrivarden AB ser, you can compare the effects of market volatilities on Investor and Industrivarden 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 Investor with a short position of Industrivarden. Check out your portfolio center. Please also check ongoing floating volatility patterns of Investor and Industrivarden.
Diversification Opportunities for Investor and Industrivarden
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Investor and Industrivarden is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Investor AB ser and Industrivarden AB ser in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Industrivarden AB ser and Investor 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 Investor AB ser are associated (or correlated) with Industrivarden. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Industrivarden AB ser has no effect on the direction of Investor i.e., Investor and Industrivarden go up and down completely randomly.
Pair Corralation between Investor and Industrivarden
Assuming the 90 days trading horizon Investor is expected to generate 1.67 times less return on investment than Industrivarden. But when comparing it to its historical volatility, Investor AB ser is 1.07 times less risky than Industrivarden. It trades about 0.03 of its potential returns per unit of risk. Industrivarden AB ser is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 35,500 in Industrivarden AB ser on September 4, 2024 and sell it today you would earn a total of 860.00 from holding Industrivarden AB ser or generate 2.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Investor AB ser vs. Industrivarden AB ser
Performance |
Timeline |
Investor AB ser |
Industrivarden AB ser |
Investor and Industrivarden Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Investor and Industrivarden
The main advantage of trading using opposite Investor and Industrivarden positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Investor position performs unexpectedly, Industrivarden 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 Industrivarden will offset losses from the drop in Industrivarden's long position.Investor vs. Investor AB ser | Investor vs. Industrivarden AB ser | Investor vs. Investment AB Latour | Investor vs. Kinnevik Investment AB |
Industrivarden vs. Investor AB ser | Industrivarden vs. L E Lundbergfretagen | Industrivarden vs. Kinnevik Investment AB | Industrivarden vs. Investment AB Latour |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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