Correlation Between Sika AG and Lonza Group
Can any of the company-specific risk be diversified away by investing in both Sika AG and Lonza Group 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 Lonza Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sika AG and Lonza Group AG, you can compare the effects of market volatilities on Sika AG and Lonza Group 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 Lonza Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sika AG and Lonza Group.
Diversification Opportunities for Sika AG and Lonza Group
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sika and Lonza is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Sika AG and Lonza Group AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lonza Group 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 Lonza Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lonza Group AG has no effect on the direction of Sika AG i.e., Sika AG and Lonza Group go up and down completely randomly.
Pair Corralation between Sika AG and Lonza Group
Assuming the 90 days trading horizon Sika AG is expected to under-perform the Lonza Group. But the stock apears to be less risky and, when comparing its historical volatility, Sika AG is 1.28 times less risky than Lonza Group. The stock trades about -0.21 of its potential returns per unit of risk. The Lonza Group AG is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 54,880 in Lonza Group AG on August 31, 2024 and sell it today you would lose (2,840) from holding Lonza Group AG or give up 5.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Sika AG vs. Lonza Group AG
Performance |
Timeline |
Sika AG |
Lonza Group AG |
Sika AG and Lonza Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sika AG and Lonza Group
The main advantage of trading using opposite Sika AG and Lonza Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sika AG position performs unexpectedly, Lonza Group 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 Lonza Group will offset losses from the drop in Lonza Group'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 |
Lonza Group vs. Sika AG | Lonza Group vs. Givaudan SA | Lonza Group vs. Geberit AG | Lonza Group vs. Swiss Life 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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Other Complementary Tools
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |