Correlation Between FARO Technologies and TRADEGATE
Can any of the company-specific risk be diversified away by investing in both FARO Technologies and TRADEGATE 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 FARO Technologies and TRADEGATE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FARO Technologies and TRADEGATE, you can compare the effects of market volatilities on FARO Technologies and TRADEGATE 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 FARO Technologies with a short position of TRADEGATE. Check out your portfolio center. Please also check ongoing floating volatility patterns of FARO Technologies and TRADEGATE.
Diversification Opportunities for FARO Technologies and TRADEGATE
-0.81 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between FARO and TRADEGATE is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding FARO Technologies and TRADEGATE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TRADEGATE and FARO Technologies 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 FARO Technologies are associated (or correlated) with TRADEGATE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TRADEGATE has no effect on the direction of FARO Technologies i.e., FARO Technologies and TRADEGATE go up and down completely randomly.
Pair Corralation between FARO Technologies and TRADEGATE
Assuming the 90 days horizon FARO Technologies is expected to generate 6.97 times more return on investment than TRADEGATE. However, FARO Technologies is 6.97 times more volatile than TRADEGATE. It trades about 0.28 of its potential returns per unit of risk. TRADEGATE is currently generating about -0.16 per unit of risk. If you would invest 1,640 in FARO Technologies on August 31, 2024 and sell it today you would earn a total of 860.00 from holding FARO Technologies or generate 52.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
FARO Technologies vs. TRADEGATE
Performance |
Timeline |
FARO Technologies |
TRADEGATE |
FARO Technologies and TRADEGATE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FARO Technologies and TRADEGATE
The main advantage of trading using opposite FARO Technologies and TRADEGATE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FARO Technologies position performs unexpectedly, TRADEGATE 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 TRADEGATE will offset losses from the drop in TRADEGATE's long position.FARO Technologies vs. Superior Plus Corp | FARO Technologies vs. NMI Holdings | FARO Technologies vs. Origin Agritech | FARO Technologies vs. SIVERS SEMICONDUCTORS AB |
TRADEGATE vs. KAUFMAN ET BROAD | TRADEGATE vs. Gaztransport Technigaz SA | TRADEGATE vs. Fukuyama Transporting Co | TRADEGATE vs. PRECISION DRILLING P |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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