Correlation Between Dicker Data and Hotel Property

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

Diversification Opportunities for Dicker Data and Hotel Property

0.27
  Correlation Coefficient

Modest diversification

The 3 months correlation between Dicker and Hotel is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and Hotel Property Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hotel Property Inves and Dicker Data 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 Dicker Data are associated (or correlated) with Hotel Property. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hotel Property Inves has no effect on the direction of Dicker Data i.e., Dicker Data and Hotel Property go up and down completely randomly.

Pair Corralation between Dicker Data and Hotel Property

Assuming the 90 days trading horizon Dicker Data is expected to under-perform the Hotel Property. In addition to that, Dicker Data is 2.67 times more volatile than Hotel Property Investments. It trades about -0.13 of its total potential returns per unit of risk. Hotel Property Investments is currently generating about 0.39 per unit of volatility. If you would invest  357.00  in Hotel Property Investments on September 12, 2024 and sell it today you would earn a total of  21.00  from holding Hotel Property Investments or generate 5.88% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Dicker Data  vs.  Hotel Property Investments

 Performance 
       Timeline  
Dicker Data 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Dicker Data has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Dicker Data is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.
Hotel Property Inves 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Hotel Property Investments are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable forward indicators, Hotel Property is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Dicker Data and Hotel Property Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dicker Data and Hotel Property

The main advantage of trading using opposite Dicker Data and Hotel Property positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dicker Data position performs unexpectedly, Hotel Property 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 Hotel Property will offset losses from the drop in Hotel Property's long position.
The idea behind Dicker Data and Hotel Property Investments 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

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