Correlation Between Applied Materials and First Sensor
Can any of the company-specific risk be diversified away by investing in both Applied Materials and First Sensor 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 Applied Materials and First Sensor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials and First Sensor AG, you can compare the effects of market volatilities on Applied Materials and First Sensor 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 Applied Materials with a short position of First Sensor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials and First Sensor.
Diversification Opportunities for Applied Materials and First Sensor
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Applied and First is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials and First Sensor AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Sensor AG and Applied Materials 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 Applied Materials are associated (or correlated) with First Sensor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Sensor AG has no effect on the direction of Applied Materials i.e., Applied Materials and First Sensor go up and down completely randomly.
Pair Corralation between Applied Materials and First Sensor
Assuming the 90 days horizon Applied Materials is expected to under-perform the First Sensor. In addition to that, Applied Materials is 1.8 times more volatile than First Sensor AG. It trades about -0.07 of its total potential returns per unit of risk. First Sensor AG is currently generating about 0.0 per unit of volatility. If you would invest 5,780 in First Sensor AG on December 21, 2024 and sell it today you would lose (40.00) from holding First Sensor AG or give up 0.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Materials vs. First Sensor AG
Performance |
Timeline |
Applied Materials |
First Sensor AG |
Applied Materials and First Sensor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials and First Sensor
The main advantage of trading using opposite Applied Materials and First Sensor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials position performs unexpectedly, First Sensor 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 First Sensor will offset losses from the drop in First Sensor's long position.Applied Materials vs. Q2M Managementberatung AG | Applied Materials vs. Citic Telecom International | Applied Materials vs. Ares Management Corp | Applied Materials vs. COMBA TELECOM SYST |
First Sensor vs. China Datang | First Sensor vs. Data Modul AG | First Sensor vs. DATADOT TECHNOLOGY | First Sensor vs. National Beverage Corp |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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