Joseph dAuzay - Credit Agricole Insider
Stakeholder Joseph dAuzay is not found or was disassociated from the entity Credit Agricole SA
If you believe Joseph dAuzay is a valid insider of Credit Agricole SA please let us know and we will check it out.
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Pair Trading with Credit Agricole
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Credit Agricole position performs unexpectedly, the other equity 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 Credit Agricole will appreciate offsetting losses from the drop in the long position's value.Moving together with Credit Pink Sheet
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Moving against Credit Pink Sheet
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The ability to find closely correlated positions to Credit Agricole could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Credit Agricole when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Credit Agricole - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Credit Agricole SA to buy it.
The correlation of Credit Agricole is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Credit Agricole moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Credit Agricole SA moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Credit Agricole can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Credit Agricole SA. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Credit Pink Sheet analysis
When running Credit Agricole's price analysis, check to measure Credit Agricole's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Credit Agricole is operating at the current time. Most of Credit Agricole's value examination focuses on studying past and present price action to predict the probability of Credit Agricole's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Credit Agricole's price. Additionally, you may evaluate how the addition of Credit Agricole to your portfolios can decrease your overall portfolio volatility.
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