Correlation Between Teradata Corp and Made Tech
Can any of the company-specific risk be diversified away by investing in both Teradata Corp and Made Tech 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 Teradata Corp and Made Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Teradata Corp and Made Tech Group, you can compare the effects of market volatilities on Teradata Corp and Made Tech 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 Teradata Corp with a short position of Made Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Teradata Corp and Made Tech.
Diversification Opportunities for Teradata Corp and Made Tech
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Teradata and Made is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Teradata Corp and Made Tech Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Made Tech Group and Teradata Corp 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 Teradata Corp are associated (or correlated) with Made Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Made Tech Group has no effect on the direction of Teradata Corp i.e., Teradata Corp and Made Tech go up and down completely randomly.
Pair Corralation between Teradata Corp and Made Tech
Assuming the 90 days trading horizon Teradata Corp is expected to generate 3.7 times less return on investment than Made Tech. But when comparing it to its historical volatility, Teradata Corp is 1.23 times less risky than Made Tech. It trades about 0.07 of its potential returns per unit of risk. Made Tech Group is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 2,500 in Made Tech Group on October 28, 2024 and sell it today you would earn a total of 225.00 from holding Made Tech Group or generate 9.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 76.19% |
| Values | Daily Returns |
Teradata Corp vs. Made Tech Group
Performance |
| Timeline |
| Teradata Corp |
| Made Tech Group |
Teradata Corp and Made Tech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Teradata Corp and Made Tech
The main advantage of trading using opposite Teradata Corp and Made Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Teradata Corp position performs unexpectedly, Made Tech 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 Made Tech will offset losses from the drop in Made Tech's long position.| Teradata Corp vs. Alaska Air Group | Teradata Corp vs. Charter Communications Cl | Teradata Corp vs. Spirent Communications plc | Teradata Corp vs. Orient Telecoms |
| Made Tech vs. Orient Telecoms | Made Tech vs. Cairo Communication SpA | Made Tech vs. Infrastrutture Wireless Italiane | Made Tech vs. Verizon Communications |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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