Correlation Between Microsoft and TERADATA

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

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

Diversification Opportunities for Microsoft and TERADATA

0.67

Correlation Coefficient

Microsoft  TERADATA

Poor diversification

The 3 months correlation between Microsoft and TERADATA is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and TERADATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TERADATA and Microsoft 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 Microsoft are associated (or correlated) with TERADATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TERADATA has no effect on the direction of Microsoft i.e., Microsoft and TERADATA go up and down completely randomly.

Pair Corralation between Microsoft and TERADATA

Assuming the 90 days trading horizon Microsoft is expected to generate 1.46 times less return on investment than TERADATA. In addition to that, Microsoft is 1.06 times more volatile than TERADATA. It trades about 0.11 of its total potential returns per unit of risk. TERADATA is currently generating about 0.17 per unit of volatility. If you would invest  2,700  in TERADATA on September 27, 2024 and sell it today you would earn a total of  380.00  from holding TERADATA or generate 14.07% return on investment over 90 days.

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

Microsoft  vs.  TERADATA

Microsoft

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical and fundamental indicators, Microsoft may actually be approaching a critical reversion point that can send shares even higher in January 2025.

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 uncertain basic indicators, TERADATA unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Microsoft and TERADATA

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

The idea behind Microsoft and TERADATA 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.