Correlation Between Siemens Energy and Kone Oyj
Can any of the company-specific risk be diversified away by investing in both Siemens Energy and Kone Oyj 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 Siemens Energy and Kone Oyj into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siemens Energy AG and Kone Oyj ADR, you can compare the effects of market volatilities on Siemens Energy and Kone Oyj 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 Siemens Energy with a short position of Kone Oyj. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siemens Energy and Kone Oyj.
Diversification Opportunities for Siemens Energy and Kone Oyj
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Siemens and Kone is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Siemens Energy AG and Kone Oyj ADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kone Oyj ADR and Siemens Energy 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 Siemens Energy AG are associated (or correlated) with Kone Oyj. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kone Oyj ADR has no effect on the direction of Siemens Energy i.e., Siemens Energy and Kone Oyj go up and down completely randomly.
Pair Corralation between Siemens Energy and Kone Oyj
Assuming the 90 days horizon Siemens Energy AG is expected to generate 1.98 times more return on investment than Kone Oyj. However, Siemens Energy is 1.98 times more volatile than Kone Oyj ADR. It trades about 0.36 of its potential returns per unit of risk. Kone Oyj ADR is currently generating about -0.04 per unit of risk. If you would invest 2,826 in Siemens Energy AG on September 3, 2024 and sell it today you would earn a total of 2,664 from holding Siemens Energy AG or generate 94.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Siemens Energy AG vs. Kone Oyj ADR
Performance |
Timeline |
Siemens Energy AG |
Kone Oyj ADR |
Siemens Energy and Kone Oyj Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siemens Energy and Kone Oyj
The main advantage of trading using opposite Siemens Energy and Kone Oyj positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siemens Energy position performs unexpectedly, Kone Oyj 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 Kone Oyj will offset losses from the drop in Kone Oyj's long position.Siemens Energy vs. Schneider Electric SE | Siemens Energy vs. Vestas Wind Systems | Siemens Energy vs. Hillenbrand | Siemens Energy vs. Generac Holdings |
Kone Oyj vs. Dear Cashmere Holding | Kone Oyj vs. Goff Corp | Kone Oyj vs. Wialan Technologies | Kone Oyj vs. Cgrowth Capital |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Commodity Directory Find actively traded commodities issued by global exchanges |