The study considers a vector autoregressive model for high-dimensional mixed fre- quency data, where selective time series are collected at different frequencies. The high-frequency series are expanded and modeled as multiple time series to match the …
Even though many time series are sampled at different frequencies, their joint evolution is usually modeled and analyzed at a common low frequency. The mixed data sampling (MIDAS) framework was developed to enable joint modeling of mixed frequency …