Correlation Between Stef SA and Jacques Bogart

Can any of the company-specific risk be diversified away by investing in both Stef SA and Jacques Bogart 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 Stef SA and Jacques Bogart into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Stef SA and Jacques Bogart SA, you can compare the effects of market volatilities on Stef SA and Jacques Bogart 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 Stef SA with a short position of Jacques Bogart. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stef SA and Jacques Bogart.

Diversification Opportunities for Stef SA and Jacques Bogart

0.33

Correlation Coefficient

Stef SA  Jacques Bogart

Weak diversification

The 3 months correlation between Stef and Jacques is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Stef SA and Jacques Bogart SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jacques Bogart SA and Stef SA 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 Stef SA are associated (or correlated) with Jacques Bogart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jacques Bogart SA has no effect on the direction of Stef SA i.e., Stef SA and Jacques Bogart go up and down completely randomly.

Pair Corralation between Stef SA and Jacques Bogart

Assuming the 90 days trading horizon Stef SA is expected to under-perform the Jacques Bogart. But the stock apears to be less risky and, when comparing its historical volatility, Stef SA is 1.5 times less risky than Jacques Bogart. The stock trades about -0.06 of its potential returns per unit of risk. The Jacques Bogart SA is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  564.00  in Jacques Bogart SA on December 29, 2024 and sell it today you would lose (8.00) from holding Jacques Bogart SA or give up 1.42% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	98.46%
Values	Daily Returns

Stef SA  vs.  Jacques Bogart SA

Stef SA

Risk-Adjusted Performance

Very Weak

Over the last 90 days Stef SA has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong technical and fundamental indicators, Stef SA is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Jacques Bogart SA

Risk-Adjusted Performance

Very Weak

Over the last 90 days Jacques Bogart SA has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Jacques Bogart is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Stef SA and Jacques Bogart

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

The idea behind Stef SA and Jacques Bogart SA 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.