CAC ALL SHARES
retains Efficiency (Sharpe Ratio) of -0.0579 which signifies that the index had -0.0579% of return per unit of risk over the last 2 months. Macroaxis approach to foreseeing risk of any index is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. CAC ALL exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. The entity owns Beta (Systematic Risk) of 0.0 which signifies that the returns on MARKET and CAC ALL are completely uncorrelated. Even though it is essential to pay attention to CAC ALL SHARES
existing price patterns
, it is always good to be careful when utilizing equity price patterns
. Macroaxis approach to foreseeing future performance of any index is to check both, its past performance charts as well as the business as a whole, including all available technical indicators
. CAC ALL exposes twenty-one different technical indicators which can help you to evaluate its performance.
Poor reverse predictability
CAC ALL SHARES has poor reverse predictability. Overlapping area represents the amount of predictability between CAC ALL time series from June 20, 2019 to July 20, 2019 and July 20, 2019 to August 19, 2019. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CAC ALL SHARES price movement. The serial correlation of -0.4 indicates that just about 40.0% of current CAC ALL price fluctuation can be explain by its past prices. Given that CAC ALL SHARES has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of CAC ALL for similar time interval.