Correlation Between FXP and CLO

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

Diversification Opportunities for FXP and CLO

0.0
  Correlation Coefficient
 FXP
 CLO

Pay attention - limited upside

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

Pair Corralation between FXP and CLO

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

FXP  vs.  CLO

 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.
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 and CLO Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with FXP and CLO

The main advantage of trading using opposite FXP and CLO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FXP position performs unexpectedly, CLO 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 CLO will offset losses from the drop in CLO's long position.
The idea behind FXP and CLO 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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