BSE Backtested Returns
secures Sharpe Ratio (or Efficiency) of -0.3541 which signifies that BSE
had -0.3541% of return per unit of risk over the last 1 month. Macroaxis approach towards 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
. BSE exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. The organization shows Beta (market volatility) of 0.0 which signifies that the returns on MARKET and BSE are completely uncorrelated. Even though it is essential to pay attention to BSE
historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis approach towards 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
. BSE exposes twenty-one different technical indicators which can help you to evaluate its performance.
|15 days auto-correlation|| 0.45 |
BSE has average predictability. Overlapping area represents the amount of predictability between BSE time series from January 25, 2018 to February 9, 2018 and February 9, 2018 to February 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 BSE price movement. The serial correlation of 0.45 indicates that just about 45.0% of current BSE price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.45|
|Spearman Rank Test|| 0.44|
|Price Variance|| 50411.85|
|Lagged Price Variance|| 646534.29|
BSE Lagged Returns