Correlation Between Siemens AG and Smith AO
Can any of the company-specific risk be diversified away by investing in both Siemens AG and Smith AO 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 AG and Smith AO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siemens AG ADR and Smith AO, you can compare the effects of market volatilities on Siemens AG and Smith AO 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 AG with a short position of Smith AO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siemens AG and Smith AO.
Diversification Opportunities for Siemens AG and Smith AO
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Siemens and Smith is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Siemens AG ADR and Smith AO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smith AO and Siemens 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 Siemens AG ADR are associated (or correlated) with Smith AO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smith AO has no effect on the direction of Siemens AG i.e., Siemens AG and Smith AO go up and down completely randomly.
Pair Corralation between Siemens AG and Smith AO
If you would invest 6,889 in Smith AO on October 26, 2024 and sell it today you would earn a total of 238.00 from holding Smith AO or generate 3.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 5.56% |
Values | Daily Returns |
Siemens AG ADR vs. Smith AO
Performance |
Timeline |
Siemens AG ADR |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Smith AO |
Siemens AG and Smith AO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siemens AG and Smith AO
The main advantage of trading using opposite Siemens AG and Smith AO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siemens AG position performs unexpectedly, Smith AO 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 Smith AO will offset losses from the drop in Smith AO's long position.Siemens AG vs. Sandvik AB | Siemens AG vs. Schneider Electric SA | Siemens AG vs. KONE Oyj | Siemens AG vs. Atlas Copco AB |
Smith AO vs. Dover | Smith AO vs. Illinois Tool Works | Smith AO vs. Xylem Inc | Smith AO vs. Franklin Electric Co |
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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Other Complementary Tools
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |