Correlation Between Koninklijke Philips and ING Groep
Can any of the company-specific risk be diversified away by investing in both Koninklijke Philips and ING Groep 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 Koninklijke Philips and ING Groep into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koninklijke Philips NV and ING Groep NV, you can compare the effects of market volatilities on Koninklijke Philips and ING Groep 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 Koninklijke Philips with a short position of ING Groep. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koninklijke Philips and ING Groep.
Diversification Opportunities for Koninklijke Philips and ING Groep
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Koninklijke and ING is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Koninklijke Philips NV and ING Groep NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ING Groep NV and Koninklijke Philips 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 Koninklijke Philips NV are associated (or correlated) with ING Groep. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ING Groep NV has no effect on the direction of Koninklijke Philips i.e., Koninklijke Philips and ING Groep go up and down completely randomly.
Pair Corralation between Koninklijke Philips and ING Groep
Assuming the 90 days trading horizon Koninklijke Philips NV is expected to under-perform the ING Groep. In addition to that, Koninklijke Philips is 1.73 times more volatile than ING Groep NV. It trades about -0.01 of its total potential returns per unit of risk. ING Groep NV is currently generating about 0.22 per unit of volatility. If you would invest 1,444 in ING Groep NV on November 28, 2024 and sell it today you would earn a total of 217.00 from holding ING Groep NV or generate 15.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Koninklijke Philips NV vs. ING Groep NV
Performance |
Timeline |
Koninklijke Philips |
ING Groep NV |
Koninklijke Philips and ING Groep Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koninklijke Philips and ING Groep
The main advantage of trading using opposite Koninklijke Philips and ING Groep positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koninklijke Philips position performs unexpectedly, ING Groep 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 ING Groep will offset losses from the drop in ING Groep's long position.Koninklijke Philips vs. Unilever PLC | Koninklijke Philips vs. ING Groep NV | Koninklijke Philips vs. Aegon NV | Koninklijke Philips vs. Koninklijke Ahold Delhaize |
ING Groep vs. Aegon NV | ING Groep vs. ABN Amro Group | ING Groep vs. Koninklijke Philips NV | ING Groep vs. Unilever PLC |
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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