Correlation Between FXP and MONA

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

Diversification Opportunities for FXP and MONA

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between FXP and MONA

If you would invest  26.00  in MONA on September 1, 2024 and sell it today you would earn a total of  6.00  from holding MONA or generate 23.08% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy1.54%
ValuesDaily Returns

FXP  vs.  MONA

 Performance 
       Timeline  
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.
MONA 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in MONA are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, MONA exhibited solid returns over the last few months and may actually be approaching a breakup point.

FXP and MONA Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with FXP and MONA

The main advantage of trading using opposite FXP and MONA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FXP position performs unexpectedly, MONA 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 MONA will offset losses from the drop in MONA's long position.
The idea behind FXP and MONA 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.
Check out your portfolio center.
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

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