Correlation Between Teradata Corp and DATA MODUL
Can any of the company-specific risk be diversified away by investing in both Teradata Corp and DATA MODUL 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 DATA MODUL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Teradata Corp and DATA MODUL , you can compare the effects of market volatilities on Teradata Corp and DATA MODUL 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 DATA MODUL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Teradata Corp and DATA MODUL.
Diversification Opportunities for Teradata Corp and DATA MODUL
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Teradata and DATA is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Teradata Corp and DATA MODUL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATA MODUL 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 DATA MODUL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATA MODUL has no effect on the direction of Teradata Corp i.e., Teradata Corp and DATA MODUL go up and down completely randomly.
Pair Corralation between Teradata Corp and DATA MODUL
Assuming the 90 days horizon Teradata Corp is expected to under-perform the DATA MODUL. But the stock apears to be less risky and, when comparing its historical volatility, Teradata Corp is 1.77 times less risky than DATA MODUL. The stock trades about -0.08 of its potential returns per unit of risk. The DATA MODUL is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 2,700 in DATA MODUL on October 10, 2024 and sell it today you would lose (60.00) from holding DATA MODUL or give up 2.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Teradata Corp vs. DATA MODUL
Performance |
Timeline |
Teradata Corp |
DATA MODUL |
Teradata Corp and DATA MODUL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Teradata Corp and DATA MODUL
The main advantage of trading using opposite Teradata Corp and DATA MODUL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Teradata Corp position performs unexpectedly, DATA MODUL 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 DATA MODUL will offset losses from the drop in DATA MODUL's long position.The idea behind Teradata Corp and DATA MODUL 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.DATA MODUL vs. Hitachi Construction Machinery | DATA MODUL vs. Penta Ocean Construction Co | DATA MODUL vs. Hanison Construction Holdings | DATA MODUL vs. SERI INDUSTRIAL EO |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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