Correlation Between Winmark and Polished

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

Diversification Opportunities for Winmark and Polished

0.31
  Correlation Coefficient

Weak diversification

The 3 months correlation between Winmark and Polished is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Winmark and Polished in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polished and Winmark 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 Winmark are associated (or correlated) with Polished. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polished has no effect on the direction of Winmark i.e., Winmark and Polished go up and down completely randomly.

Pair Corralation between Winmark and Polished

If you would invest  35,151  in Winmark on August 30, 2024 and sell it today you would earn a total of  6,085  from holding Winmark or generate 17.31% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy0.79%
ValuesDaily Returns

Winmark  vs.  Polished

 Performance 
       Timeline  
Winmark 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Winmark are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Winmark sustained solid returns over the last few months and may actually be approaching a breakup point.
Polished 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Polished has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent basic indicators, Polished is not utilizing all of its potentials. The current stock price mess, may contribute to short-term losses for the institutional investors.

Winmark and Polished Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Winmark and Polished

The main advantage of trading using opposite Winmark and Polished positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Winmark position performs unexpectedly, Polished 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 Polished will offset losses from the drop in Polished's long position.
The idea behind Winmark and Polished 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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