Correlation Between L E and Volati AB
Can any of the company-specific risk be diversified away by investing in both L E and Volati AB 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 L E and Volati AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between L E Lundbergfretagen and Volati AB, you can compare the effects of market volatilities on L E and Volati AB 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 L E with a short position of Volati AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of L E and Volati AB.
Diversification Opportunities for L E and Volati AB
Very poor diversification
The 3 months correlation between LUND-B and Volati is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding L E Lundbergfretagen and Volati AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Volati AB and L E 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 L E Lundbergfretagen are associated (or correlated) with Volati AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Volati AB has no effect on the direction of L E i.e., L E and Volati AB go up and down completely randomly.
Pair Corralation between L E and Volati AB
Assuming the 90 days trading horizon L E Lundbergfretagen is expected to generate 0.65 times more return on investment than Volati AB. However, L E Lundbergfretagen is 1.54 times less risky than Volati AB. It trades about -0.16 of its potential returns per unit of risk. Volati AB is currently generating about -0.23 per unit of risk. If you would invest 54,550 in L E Lundbergfretagen on August 29, 2024 and sell it today you would lose (2,100) from holding L E Lundbergfretagen or give up 3.85% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
L E Lundbergfretagen vs. Volati AB
Performance |
| Timeline |
| L E Lundbergfretagen |
| Volati AB |
L E and Volati AB Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with L E and Volati AB
The main advantage of trading using opposite L E and Volati AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if L E position performs unexpectedly, Volati AB 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 Volati AB will offset losses from the drop in Volati AB's long position.The idea behind L E Lundbergfretagen and Volati AB pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Volati AB vs. Bure Equity AB | Volati AB vs. Creades AB | Volati AB vs. L E Lundbergfretagen | Volati AB vs. Industrivarden AB ser |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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