Correlation Between Flow Traders and Allianz Technology
Can any of the company-specific risk be diversified away by investing in both Flow Traders and Allianz Technology 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 Flow Traders and Allianz Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flow Traders NV and Allianz Technology Trust, you can compare the effects of market volatilities on Flow Traders and Allianz Technology 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 Flow Traders with a short position of Allianz Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flow Traders and Allianz Technology.
Diversification Opportunities for Flow Traders and Allianz Technology
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Flow and Allianz is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Flow Traders NV and Allianz Technology Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Allianz Technology Trust and Flow Traders 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 Flow Traders NV are associated (or correlated) with Allianz Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Allianz Technology Trust has no effect on the direction of Flow Traders i.e., Flow Traders and Allianz Technology go up and down completely randomly.
Pair Corralation between Flow Traders and Allianz Technology
Assuming the 90 days trading horizon Flow Traders NV is expected to generate 1.63 times more return on investment than Allianz Technology. However, Flow Traders is 1.63 times more volatile than Allianz Technology Trust. It trades about 0.26 of its potential returns per unit of risk. Allianz Technology Trust is currently generating about 0.09 per unit of risk. If you would invest 2,110 in Flow Traders NV on October 11, 2024 and sell it today you would earn a total of 203.00 from holding Flow Traders NV or generate 9.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Flow Traders NV vs. Allianz Technology Trust
Performance |
Timeline |
Flow Traders NV |
Allianz Technology Trust |
Flow Traders and Allianz Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flow Traders and Allianz Technology
The main advantage of trading using opposite Flow Traders and Allianz Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flow Traders position performs unexpectedly, Allianz Technology 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 Allianz Technology will offset losses from the drop in Allianz Technology's long position.Flow Traders vs. UNIQA Insurance Group | Flow Traders vs. Ecclesiastical Insurance Office | Flow Traders vs. Centaur Media | Flow Traders vs. Vienna Insurance Group |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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