Correlation Between Fresh Del and CBOE Volatility

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

Diversification Opportunities for Fresh Del and CBOE Volatility

-0.67
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Fresh and CBOE is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Fresh Del Monte and CBOE Volatility Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CBOE Volatility Index and Fresh Del 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 Fresh Del Monte are associated (or correlated) with CBOE Volatility. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CBOE Volatility Index has no effect on the direction of Fresh Del i.e., Fresh Del and CBOE Volatility go up and down completely randomly.
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Pair Corralation between Fresh Del and CBOE Volatility

Considering the 90-day investment horizon Fresh Del Monte is expected to generate 0.28 times more return on investment than CBOE Volatility. However, Fresh Del Monte is 3.57 times less risky than CBOE Volatility. It trades about 0.14 of its potential returns per unit of risk. CBOE Volatility Index is currently generating about -0.02 per unit of risk. If you would invest  2,933  in Fresh Del Monte on September 18, 2024 and sell it today you would earn a total of  473.00  from holding Fresh Del Monte or generate 16.13% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy98.44%
ValuesDaily Returns

Fresh Del Monte  vs.  CBOE Volatility Index

 Performance 
       Timeline  

Fresh Del and CBOE Volatility Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Fresh Del and CBOE Volatility

The main advantage of trading using opposite Fresh Del and CBOE Volatility positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fresh Del position performs unexpectedly, CBOE Volatility 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 CBOE Volatility will offset losses from the drop in CBOE Volatility's long position.
The idea behind Fresh Del Monte and CBOE Volatility Index 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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