Film industry as an important factor to measure a country's socio-economic development level and cultural soft power needs to be deeply studied whether it has certain predicable functions to a country's macroeconomic development level. This paper uses the autoregressive distributed lag mixture sampling （ADL-MIDAS）model to study and predict the relationship between the weekly Chinese box-office revenue growth as the high frequency explanatory variable and the quarterly GDP growth as the low frequency explained variable from January, 2012 to March, 2018. On the basis of this, this paper also quantitatively analyzes the relationship between the monthly manufacturing PMI growth and weekly box-office revenue growth. The empirical results show that there is a negative correlation between the weekly box-office growth and the quarterly GDP growth as well as the monthly manufacturing PMI growth. China’s films market has “lipstick effect” and the forecast for macro-economy trend can be made by the box-office revenue condition. Adding the weekly box-office data to the monthly macro-variables can significantly improve the quarterly GDP prediction accuracy. The box-office revenue can be used as a beneficial supplement to the GDP forecasting index system in China.