Correlation Between Kapsch Traffic and Wiener Privatbank
Can any of the company-specific risk be diversified away by investing in both Kapsch Traffic and Wiener Privatbank 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 Kapsch Traffic and Wiener Privatbank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kapsch Traffic and Wiener Privatbank SE, you can compare the effects of market volatilities on Kapsch Traffic and Wiener Privatbank 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 Kapsch Traffic with a short position of Wiener Privatbank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kapsch Traffic and Wiener Privatbank.
Diversification Opportunities for Kapsch Traffic and Wiener Privatbank
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kapsch and Wiener is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Kapsch Traffic and Wiener Privatbank SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wiener Privatbank and Kapsch Traffic 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 Kapsch Traffic are associated (or correlated) with Wiener Privatbank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wiener Privatbank has no effect on the direction of Kapsch Traffic i.e., Kapsch Traffic and Wiener Privatbank go up and down completely randomly.
Pair Corralation between Kapsch Traffic and Wiener Privatbank
Assuming the 90 days trading horizon Kapsch Traffic is expected to generate 0.97 times more return on investment than Wiener Privatbank. However, Kapsch Traffic is 1.03 times less risky than Wiener Privatbank. It trades about 0.17 of its potential returns per unit of risk. Wiener Privatbank SE is currently generating about 0.14 per unit of risk. If you would invest 584.00 in Kapsch Traffic on December 30, 2024 and sell it today you would earn a total of 126.00 from holding Kapsch Traffic or generate 21.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kapsch Traffic vs. Wiener Privatbank SE
Performance |
Timeline |
Kapsch Traffic |
Wiener Privatbank |
Kapsch Traffic and Wiener Privatbank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kapsch Traffic and Wiener Privatbank
The main advantage of trading using opposite Kapsch Traffic and Wiener Privatbank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kapsch Traffic position performs unexpectedly, Wiener Privatbank 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 Wiener Privatbank will offset losses from the drop in Wiener Privatbank's long position.Kapsch Traffic vs. Lenzing Aktiengesellschaft | Kapsch Traffic vs. Vienna Insurance Group | Kapsch Traffic vs. Semperit Aktiengesellschaft Holding | Kapsch Traffic vs. EVN AG |
Wiener Privatbank vs. AMAG Austria Metall | Wiener Privatbank vs. Oberbank AG | Wiener Privatbank vs. Raiffeisen Bank International | Wiener Privatbank vs. Universal Music Group |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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