Correlation Between TERADATA and Addtech AB
Can any of the company-specific risk be diversified away by investing in both TERADATA and Addtech AB 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 and Addtech AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TERADATA and Addtech AB, you can compare the effects of market volatilities on TERADATA and Addtech AB 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 with a short position of Addtech AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of TERADATA and Addtech AB.
Diversification Opportunities for TERADATA and Addtech AB
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between TERADATA and Addtech is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding TERADATA and Addtech AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Addtech AB and TERADATA 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 are associated (or correlated) with Addtech AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Addtech AB has no effect on the direction of TERADATA i.e., TERADATA and Addtech AB go up and down completely randomly.
Pair Corralation between TERADATA and Addtech AB
Assuming the 90 days trading horizon TERADATA is expected to generate 0.44 times more return on investment than Addtech AB. However, TERADATA is 2.25 times less risky than Addtech AB. It trades about 0.54 of its potential returns per unit of risk. Addtech AB is currently generating about 0.07 per unit of risk. If you would invest 2,780 in TERADATA on September 13, 2024 and sell it today you would earn a total of 280.00 from holding TERADATA or generate 10.07% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
TERADATA vs. Addtech AB
Performance |
| Timeline |
| TERADATA |
| Addtech AB |
TERADATA and Addtech AB Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with TERADATA and Addtech AB
The main advantage of trading using opposite TERADATA and Addtech AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TERADATA position performs unexpectedly, Addtech AB 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 Addtech AB will offset losses from the drop in Addtech AB's long position.The idea behind TERADATA and Addtech AB pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Addtech AB vs. American Public Education | Addtech AB vs. DEVRY EDUCATION GRP | Addtech AB vs. Perdoceo Education | Addtech AB vs. Lion Biotechnologies |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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