IPC Backtested Returns
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.
|15 days auto-correlation|| 0.60 |
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