Correlation Between Palomar Holdings and CBOE Low

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

Diversification Opportunities for Palomar Holdings and CBOE Low

0.81
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Palomar and CBOE is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Palomar Holdings and CBOE Low Volatility in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CBOE Low Volatility and Palomar Holdings 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 Palomar Holdings are associated (or correlated) with CBOE Low. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CBOE Low Volatility has no effect on the direction of Palomar Holdings i.e., Palomar Holdings and CBOE Low go up and down completely randomly.
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Pair Corralation between Palomar Holdings and CBOE Low

Given the investment horizon of 90 days Palomar Holdings is expected to generate 4.33 times more return on investment than CBOE Low. However, Palomar Holdings is 4.33 times more volatile than CBOE Low Volatility. It trades about 0.09 of its potential returns per unit of risk. CBOE Low Volatility is currently generating about 0.11 per unit of risk. If you would invest  4,484  in Palomar Holdings on September 14, 2024 and sell it today you would earn a total of  6,473  from holding Palomar Holdings or generate 144.36% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Palomar Holdings  vs.  CBOE Low Volatility

 Performance 
       Timeline  

Palomar Holdings and CBOE Low Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Palomar Holdings and CBOE Low

The main advantage of trading using opposite Palomar Holdings and CBOE Low positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Palomar Holdings position performs unexpectedly, CBOE Low 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 Low will offset losses from the drop in CBOE Low's long position.
The idea behind Palomar Holdings and CBOE Low Volatility 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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