IPC (Mexico) Backtesting

IPC -- Mexico Index  

 47,522  1,006  2.16%

With this equity back-testing module your can estimate the performance of a buy and hold strategy of IPC and determine expected loss or profit from investing in IPC over given investment horizon. See also IPC Hype Analysis, IPC Correlation, Portfolio Optimization, IPC Volatility as well as analyze IPC Alpha and Beta and IPC Performance
 Time Horizon     30 Days    Login   to change

IPC 'What if' Analysis

February 22, 2018
No Change 0.00  0.0%
In 31 days
March 24, 2018
If you would invest  0.00  in IPC on February 22, 2018 and sell it all today you would earn a total of 0.00 from holding IPC or generate 0.0% return on investment in IPC over 30 days.

IPC Upside/Downside Indicators


IPC Market Premium Indicators

IPC lagged returns against current returns

 Current and Lagged Values 

IPC regressed lagged prices vs. current prices

 Current vs Lagged Prices 

IPC Backtested Returns

IPC retains Efficiency (Sharpe Ratio) of -0.309 which attests that IPC had -0.309% of return per unit of return volatility over the last 1 month. Macroaxis approach to determining 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. IPC exposes twenty-one different technical indicators which can help you to evaluate volatility that cannot be diversified away. The index owns Beta (Systematic Risk) of 0.0 which attests that the returns on MARKET and IPC are completely uncorrelated. Even though it is essential to pay attention to IPC existing price patterns, it is always good to be careful when utilizing equity price patterns. Macroaxis approach to determining 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. IPC exposes twenty-one different technical indicators which can help you to evaluate its performance.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 0.60 

Good predictability

IPC has good predictability. Overlapping area represents the amount of predictability between IPC time series from February 22, 2018 to March 9, 2018 and March 9, 2018 to March 24, 2018. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of IPC price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current IPC price fluctuation can be explain by its past prices.
Correlation Coefficient 0.6
Spearman Rank Test 0.56
Price Variance 430443.86
Lagged Price Variance 216387.99

IPC Lagged Returns

 Regressed Prices 

IPC Performance vs IPC

The median price of IPC for the period between Thu, Feb 22, 2018 and Sat, Mar 24, 2018 is 47817.05 with a coefficient of variation of 40.68. The daily time series for the period is distributed with a sample standard deviation of 16837.94, arithmetic mean of 41387.6, and mean deviation of 11287.53. The Index did not receive any noticable media coverage during the period.
 Price Growth (%)