Correlation Between ULT and NEM

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

Diversification Opportunities for ULT and NEM

-0.42
  Correlation Coefficient
 ULT
 NEM

Very good diversification

The 3 months correlation between ULT and NEM is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding ULT and NEM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NEM and ULT 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 ULT are associated (or correlated) with NEM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NEM has no effect on the direction of ULT i.e., ULT and NEM go up and down completely randomly.

Pair Corralation between ULT and NEM

If you would invest  0.45  in ULT on January 25, 2024 and sell it today you would earn a total of  0.00  from holding ULT or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy4.55%
ValuesDaily Returns

ULT  vs.  NEM

 Performance 
       Timeline  
ULT 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days ULT has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, ULT is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
NEM 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in NEM are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, NEM may actually be approaching a critical reversion point that can send shares even higher in May 2024.

ULT and NEM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with ULT and NEM

The main advantage of trading using opposite ULT and NEM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ULT position performs unexpectedly, NEM 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 NEM will offset losses from the drop in NEM's long position.
The idea behind ULT and NEM 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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