Correlation Between Sika AG and Geberit AG
Can any of the company-specific risk be diversified away by investing in both Sika AG and Geberit AG 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 Sika AG and Geberit AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sika AG and Geberit AG, you can compare the effects of market volatilities on Sika AG and Geberit AG 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 Sika AG with a short position of Geberit AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sika AG and Geberit AG.
Diversification Opportunities for Sika AG and Geberit AG
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Sika and Geberit is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Sika AG and Geberit AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Geberit AG and Sika AG 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 Sika AG are associated (or correlated) with Geberit AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Geberit AG has no effect on the direction of Sika AG i.e., Sika AG and Geberit AG go up and down completely randomly.
Pair Corralation between Sika AG and Geberit AG
Assuming the 90 days trading horizon Sika AG is expected to generate 3.36 times less return on investment than Geberit AG. But when comparing it to its historical volatility, Sika AG is 1.05 times less risky than Geberit AG. It trades about 0.03 of its potential returns per unit of risk. Geberit AG is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 51,460 in Geberit AG on December 30, 2024 and sell it today you would earn a total of 4,360 from holding Geberit AG or generate 8.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sika AG vs. Geberit AG
Performance |
Timeline |
Sika AG |
Geberit AG |
Sika AG and Geberit AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sika AG and Geberit AG
The main advantage of trading using opposite Sika AG and Geberit AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sika AG position performs unexpectedly, Geberit AG 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 Geberit AG will offset losses from the drop in Geberit AG's long position.Sika AG vs. Lonza Group AG | Sika AG vs. Givaudan SA | Sika AG vs. Geberit AG | Sika AG vs. Partners Group Holding |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Other Complementary Tools
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |