The researchers studied the volatility of daily stock returns on the Stockholm Stock Exchange. They used different models to estimate volatility, finding that negative shocks have a bigger impact than positive ones. The ARIMA-EGARCH model with t-student distribution was the most accurate in forecasting volatilities and expected returns for the Stockholm Stock Exchange.