Correlation Between AGFA Gevaert and Scheerders Van
Can any of the company-specific risk be diversified away by investing in both AGFA Gevaert and Scheerders Van 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 AGFA Gevaert and Scheerders Van into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AGFA Gevaert NV and Scheerders van Kerchoves, you can compare the effects of market volatilities on AGFA Gevaert and Scheerders Van 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 AGFA Gevaert with a short position of Scheerders Van. Check out your portfolio center. Please also check ongoing floating volatility patterns of AGFA Gevaert and Scheerders Van.
Diversification Opportunities for AGFA Gevaert and Scheerders Van
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between AGFA and Scheerders is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding AGFA Gevaert NV and Scheerders van Kerchoves in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scheerders van Kerchoves and AGFA Gevaert 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 AGFA Gevaert NV are associated (or correlated) with Scheerders Van. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scheerders van Kerchoves has no effect on the direction of AGFA Gevaert i.e., AGFA Gevaert and Scheerders Van go up and down completely randomly.
Pair Corralation between AGFA Gevaert and Scheerders Van
Assuming the 90 days trading horizon AGFA Gevaert NV is expected to under-perform the Scheerders Van. But the stock apears to be less risky and, when comparing its historical volatility, AGFA Gevaert NV is 1.23 times less risky than Scheerders Van. The stock trades about -0.09 of its potential returns per unit of risk. The Scheerders van Kerchoves is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 47,000 in Scheerders van Kerchoves on August 27, 2024 and sell it today you would lose (8,200) from holding Scheerders van Kerchoves or give up 17.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AGFA Gevaert NV vs. Scheerders van Kerchoves
Performance |
Timeline |
AGFA Gevaert NV |
Scheerders van Kerchoves |
AGFA Gevaert and Scheerders Van Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AGFA Gevaert and Scheerders Van
The main advantage of trading using opposite AGFA Gevaert and Scheerders Van positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AGFA Gevaert position performs unexpectedly, Scheerders Van 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 Scheerders Van will offset losses from the drop in Scheerders Van's long position.AGFA Gevaert vs. EVS Broadcast Equipment | AGFA Gevaert vs. NV Bekaert SA | AGFA Gevaert vs. Melexis NV | AGFA Gevaert vs. Barco NV |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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