Correlation Between CRAWFORD + and Siemens AG
Can any of the company-specific risk be diversified away by investing in both CRAWFORD + and Siemens 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 CRAWFORD + and Siemens AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CRAWFORD A NV and Siemens AG ADR, you can compare the effects of market volatilities on CRAWFORD + and Siemens 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 CRAWFORD + with a short position of Siemens AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of CRAWFORD + and Siemens AG.
Diversification Opportunities for CRAWFORD + and Siemens AG
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CRAWFORD and Siemens is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding CRAWFORD A NV and Siemens AG ADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siemens AG ADR and CRAWFORD + 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 CRAWFORD A NV are associated (or correlated) with Siemens AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siemens AG ADR has no effect on the direction of CRAWFORD + i.e., CRAWFORD + and Siemens AG go up and down completely randomly.
Pair Corralation between CRAWFORD + and Siemens AG
Assuming the 90 days trading horizon CRAWFORD A NV is expected to generate 0.87 times more return on investment than Siemens AG. However, CRAWFORD A NV is 1.15 times less risky than Siemens AG. It trades about 0.02 of its potential returns per unit of risk. Siemens AG ADR is currently generating about -0.05 per unit of risk. If you would invest 1,023 in CRAWFORD A NV on October 10, 2024 and sell it today you would earn a total of 17.00 from holding CRAWFORD A NV or generate 1.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CRAWFORD A NV vs. Siemens AG ADR
Performance |
Timeline |
CRAWFORD A NV |
Siemens AG ADR |
CRAWFORD + and Siemens AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CRAWFORD + and Siemens AG
The main advantage of trading using opposite CRAWFORD + and Siemens AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CRAWFORD + position performs unexpectedly, Siemens 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 Siemens AG will offset losses from the drop in Siemens AG's long position.CRAWFORD + vs. Direct Line Insurance | CRAWFORD + vs. PNC Financial Services | CRAWFORD + vs. REVO INSURANCE SPA | CRAWFORD + vs. US Physical Therapy |
Siemens AG vs. QURATE RETAIL INC | Siemens AG vs. PICKN PAY STORES | Siemens AG vs. FAST RETAIL ADR | Siemens AG vs. RETAIL FOOD GROUP |
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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
CEOs Directory Screen CEOs from public companies around the world | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |