Expected Shortfall Backtest
Expected shortfall (ES) provides an estimate of the expected loss on
                            days when there is a VaR failure. For more information, see esbacktest, esbacktestbysim, and
                                esbacktestbyde.
Objects
| esbacktest | Create esbacktestobject to run suite of table-based
            expected shortfall (ES) backtests by Acerbi and Szekely | 
| esbacktestbysim | Create esbacktestbysimobject to run simulation-based
                suite of expected shortfall (ES) backtests by Acerbi and Szekely | 
| esbacktestbyde | Create esbacktestbydeobject to run suite of Du and
                Escanciano expected shortfall (ES) backtests | 
Functions
Topics
- Expected Shortfall (ES) Backtesting Workflow with No Model Distribution InformationThis example shows an expected shortfall (ES) backtesting workflow with no model distribution information and the use of esbacktestobject.
- Expected Shortfall (ES) Backtesting Workflow Using SimulationThis example shows an expected shortfall (ES) backtesting workflow using simulation and the use of esbacktestbysimobject.
- Estimate Expected Shortfall for Asset PortfoliosThis example shows how to compute the expected shortfall (ES) for a portfolio of equity positions using three different methods. 
- Workflow for Expected Shortfall (ES) Backtesting by Du and EscancianoThis example shows the workflow for using the Du-Escanciano (DE) expected shortfall (ES) backtests and demonstrates a fixed test window for a single DE model with multiple VaR levels. 
- Rolling Windows and Multiple Models for Expected Shortfall (ES) Backtesting by Du and EscancianoThis example shows the workflow for using the Du-Escanciano (DE) expected shortfall (ES) backtests for rolling window analyses and testing multiple VaR/ES models. 
- Expected Shortfall Estimation and BacktestingThis example shows how to perform estimation and backtesting of Expected Shortfall models. 
- Overview of Expected Shortfall BacktestingUse multiple Expected Shortfall Backtesting tools for assessing VaR models.