Correlation Between Swiss Leader and SF Urban

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

Diversification Opportunities for Swiss Leader and SF Urban

0.39
  Correlation Coefficient

Weak diversification

The 3 months correlation between Swiss and SFPN is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Swiss Leader Price and SF Urban Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SF Urban Properties and Swiss Leader 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 Swiss Leader Price are associated (or correlated) with SF Urban. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SF Urban Properties has no effect on the direction of Swiss Leader i.e., Swiss Leader and SF Urban go up and down completely randomly.
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Pair Corralation between Swiss Leader and SF Urban

Assuming the 90 days trading horizon Swiss Leader is expected to generate 2.95 times less return on investment than SF Urban. In addition to that, Swiss Leader is 1.19 times more volatile than SF Urban Properties. It trades about 0.07 of its total potential returns per unit of risk. SF Urban Properties is currently generating about 0.23 per unit of volatility. If you would invest  9,200  in SF Urban Properties on April 24, 2025 and sell it today you would earn a total of  700.00  from holding SF Urban Properties or generate 7.61% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Swiss Leader Price  vs.  SF Urban Properties

 Performance 
       Timeline  

Swiss Leader and SF Urban Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Swiss Leader and SF Urban

The main advantage of trading using opposite Swiss Leader and SF Urban positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swiss Leader position performs unexpectedly, SF Urban 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 SF Urban will offset losses from the drop in SF Urban's long position.
The idea behind Swiss Leader Price and SF Urban Properties 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

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