Reconstruction of financial time series data based on compressed sensing

•Compressed sensing is improved to apply in reconstructing financial time series data.•High-frequency financial time series data can be more effectively reconstructed by compressed sensing.•Reconstruction of compressed sensing data is more stable in the face of different degrees of data loss.•we can estimate the relationship between variables in economic models more accurately by using compressed sensing data.