Correlation Between UPP and FXP

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

Diversification Opportunities for UPP and FXP

0.0
  Correlation Coefficient
 UPP
 FXP

Pay attention - limited upside

The 3 months correlation between UPP and FXP is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding UPP and FXP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FXP and UPP 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 UPP are associated (or correlated) with FXP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FXP has no effect on the direction of UPP i.e., UPP and FXP go up and down completely randomly.

Pair Corralation between UPP and FXP

If you would invest  6.66  in UPP on August 30, 2024 and sell it today you would earn a total of  2.19  from holding UPP or generate 32.88% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy4.55%
ValuesDaily Returns

UPP  vs.  FXP

 Performance 
       Timeline  
UPP 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in UPP are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, UPP exhibited solid returns over the last few months and may actually be approaching a breakup point.
FXP 

Risk-Adjusted Performance

0 of 100

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

UPP and FXP Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with UPP and FXP

The main advantage of trading using opposite UPP and FXP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UPP position performs unexpectedly, FXP 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 FXP will offset losses from the drop in FXP's long position.
The idea behind UPP and FXP 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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