Correlation Between Siemens Energy and Daifuku
Can any of the company-specific risk be diversified away by investing in both Siemens Energy and Daifuku 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 Daifuku 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 Daifuku Co, you can compare the effects of market volatilities on Siemens Energy and Daifuku 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 Daifuku. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siemens Energy and Daifuku.
Diversification Opportunities for Siemens Energy and Daifuku
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Siemens and Daifuku is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Siemens Energy AG and Daifuku Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daifuku 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 Daifuku. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daifuku has no effect on the direction of Siemens Energy i.e., Siemens Energy and Daifuku go up and down completely randomly.
Pair Corralation between Siemens Energy and Daifuku
Assuming the 90 days horizon Siemens Energy AG is expected to generate 1.07 times more return on investment than Daifuku. However, Siemens Energy is 1.07 times more volatile than Daifuku Co. It trades about 0.24 of its potential returns per unit of risk. Daifuku Co is currently generating about -0.01 per unit of risk. If you would invest 8,212 in Siemens Energy AG on May 7, 2025 and sell it today you would earn a total of 3,307 from holding Siemens Energy AG or generate 40.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Siemens Energy AG vs. Daifuku Co
Performance |
Timeline |
Siemens Energy AG |
Daifuku |
Siemens Energy and Daifuku Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siemens Energy and Daifuku
The main advantage of trading using opposite Siemens Energy and Daifuku positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siemens Energy position performs unexpectedly, Daifuku 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 Daifuku will offset losses from the drop in Daifuku's long position.Siemens Energy vs. SPX Corp | Siemens Energy vs. Nuscale Power Corp | Siemens Energy vs. Vestas Wind Systems | Siemens Energy vs. Nordex SE |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Other Complementary Tools
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |