Correlation Between BioPorto and Danish Aerospace
Can any of the company-specific risk be diversified away by investing in both BioPorto and Danish Aerospace 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 BioPorto and Danish Aerospace into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BioPorto and Danish Aerospace, you can compare the effects of market volatilities on BioPorto and Danish Aerospace 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 BioPorto with a short position of Danish Aerospace. Check out your portfolio center. Please also check ongoing floating volatility patterns of BioPorto and Danish Aerospace.
Diversification Opportunities for BioPorto and Danish Aerospace
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BioPorto and Danish is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding BioPorto and Danish Aerospace in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Danish Aerospace and BioPorto 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 BioPorto are associated (or correlated) with Danish Aerospace. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Danish Aerospace has no effect on the direction of BioPorto i.e., BioPorto and Danish Aerospace go up and down completely randomly.
Pair Corralation between BioPorto and Danish Aerospace
Assuming the 90 days trading horizon BioPorto is expected to generate 0.79 times more return on investment than Danish Aerospace. However, BioPorto is 1.27 times less risky than Danish Aerospace. It trades about -0.03 of its potential returns per unit of risk. Danish Aerospace is currently generating about -0.03 per unit of risk. If you would invest 181.00 in BioPorto on October 7, 2024 and sell it today you would lose (15.00) from holding BioPorto or give up 8.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
BioPorto vs. Danish Aerospace
Performance |
Timeline |
BioPorto |
Danish Aerospace |
BioPorto and Danish Aerospace Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BioPorto and Danish Aerospace
The main advantage of trading using opposite BioPorto and Danish Aerospace positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BioPorto position performs unexpectedly, Danish Aerospace 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 Danish Aerospace will offset losses from the drop in Danish Aerospace's long position.The idea behind BioPorto and Danish Aerospace 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.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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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