Correlation Between CLO and FXP

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

Diversification Opportunities for CLO and FXP

0.0
  Correlation Coefficient
 CLO
 FXP

Pay attention - limited upside

The 3 months correlation between CLO and FXP is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding CLO and FXP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FXP and CLO 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 CLO 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 CLO i.e., CLO and FXP go up and down completely randomly.

Pair Corralation between CLO and FXP

If you would invest  0.01  in CLO on August 23, 2024 and sell it today you would lose  0.00  from holding CLO or give up 7.69% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy1.56%
ValuesDaily Returns

CLO  vs.  FXP

 Performance 
       Timeline  
CLO 

Risk-Adjusted Performance

24 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in CLO are ranked lower than 24 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, CLO 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.

CLO and FXP Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with CLO and FXP

The main advantage of trading using opposite CLO and FXP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CLO 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 CLO 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.
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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