CAC ALL (France) Backtesting

PAX -- France Index  

 6,439  80.60  1.27%

With this equity back-testing module your can estimate the performance of a buy and hold strategy of CAC ALL SHARES and determine expected loss or profit from investing in CAC ALL over given investment horizon. Additionally take a look at CAC ALL Hype Analysis, CAC ALL Correlation, Portfolio Optimization, CAC ALL Volatility as well as analyze CAC ALL Alpha and Beta and CAC ALL Performance.
Horizon     30 Days    Login   to change
SymbolX
Backtest

CAC ALL 'What if' Analysis

June 20, 2019
0.00
No Change 0.00  0.0%
In 2 months and 1 day
August 19, 2019
0.00
If you would invest  0.00  in CAC ALL on June 20, 2019 and sell it all today you would earn a total of 0.00 from holding CAC ALL SHARES or generate 0.0% return on investment in CAC ALL over 60 days.

CAC ALL Upside/Downside Indicators

CAC ALL Market Premium Indicators

CAC ALL SHARES Backtested Returns

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.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation(0.40) 
correlation synergy

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.
Correlation Coefficient-0.4
Spearman Rank Test-0.43
Residual Average0.0
Price Variance35670.98

CAC ALL SHARES lagged returns against current returns

 Current and Lagged Values 
      Timeline 

CAC ALL regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

CAC ALL Lagged Returns

 Regressed Prices 
      Timeline 

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Additionally take a look at CAC ALL Hype Analysis, CAC ALL Correlation, Portfolio Optimization, CAC ALL Volatility as well as analyze CAC ALL Alpha and Beta and CAC ALL Performance. Please also try Cryptocurrency Correlation module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins and exchanges.
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