Correlation Between TERADATA and Workday

Can any of the company-specific risk be diversified away by investing in both TERADATA and Workday 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 Workday into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between TERADATA and Workday, you can compare the effects of market volatilities on TERADATA and Workday 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 Workday. Check out your portfolio center. Please also check ongoing floating volatility patterns of TERADATA and Workday.

Diversification Opportunities for TERADATA and Workday

0.06

Correlation Coefficient

TERADATA  Workday

Significant diversification

The 3 months correlation between TERADATA and Workday is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding TERADATA and Workday in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Workday 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 Workday. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Workday has no effect on the direction of TERADATA i.e., TERADATA and Workday go up and down completely randomly.

Pair Corralation between TERADATA and Workday

Assuming the 90 days trading horizon TERADATA is expected to generate 0.63 times more return on investment than Workday. However, TERADATA is 1.58 times less risky than Workday. It trades about 0.18 of its potential returns per unit of risk. Workday is currently generating about 0.01 per unit of risk. If you would invest  2,540  in TERADATA on September 3, 2024 and sell it today you would earn a total of  400.00  from holding TERADATA or generate 15.75% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

TERADATA  vs.  Workday

TERADATA

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in TERADATA are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, TERADATA unveiled solid returns over the last few months and may actually be approaching a breakup point.

Workday

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Workday are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite nearly stable basic indicators, Workday is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with TERADATA and Workday

The main advantage of trading using opposite TERADATA and Workday positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TERADATA position performs unexpectedly, Workday 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 Workday will offset losses from the drop in Workday's long position.

The idea behind TERADATA and Workday 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.

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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.