Correlation Between TERADATA and WINMARK

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Can any of the company-specific risk be diversified away by investing in both TERADATA and WINMARK 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 WINMARK into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TERADATA and WINMARK, you can compare the effects of market volatilities on TERADATA and WINMARK 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 WINMARK. Check out your portfolio center. Please also check ongoing floating volatility patterns of TERADATA and WINMARK.

Diversification Opportunities for TERADATA and WINMARK

0.57
  Correlation Coefficient

Very weak diversification

The 3 months correlation between TERADATA and WINMARK is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding TERADATA and WINMARK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WINMARK 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 WINMARK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WINMARK has no effect on the direction of TERADATA i.e., TERADATA and WINMARK go up and down completely randomly.

Pair Corralation between TERADATA and WINMARK

Assuming the 90 days trading horizon TERADATA is expected to generate 0.36 times more return on investment than WINMARK. However, TERADATA is 2.76 times less risky than WINMARK. It trades about 0.58 of its potential returns per unit of risk. WINMARK is currently generating about 0.02 per unit of risk. If you would invest  2,780  in TERADATA on September 14, 2024 and sell it today you would earn a total of  300.00  from holding TERADATA or generate 10.79% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

TERADATA  vs.  WINMARK

 Performance 
       Timeline  
TERADATA 

Risk-Adjusted Performance

18 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in TERADATA are ranked lower than 18 (%) 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.
WINMARK 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in WINMARK are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather uncertain basic indicators, WINMARK exhibited solid returns over the last few months and may actually be approaching a breakup point.

TERADATA and WINMARK Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with TERADATA and WINMARK

The main advantage of trading using opposite TERADATA and WINMARK positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TERADATA position performs unexpectedly, WINMARK 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 WINMARK will offset losses from the drop in WINMARK's long position.
The idea behind TERADATA and WINMARK 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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