  Automatically generating macro research reports from economic news is an
important yet challenging task. As we all know, it requires the macro analysts
to write such reports within a short period of time after the important
economic news are released. This motivates our work, i.e., using AI techniques
to save manual cost. The goal of the proposed system is to generate macro
research reports as the draft for macro analysts. Essentially, the core
challenge is the long text generation issue. To address this issue, we propose
a novel deep learning technique based approach which includes two components,
i.e., outline generation and macro research report generation.For the model
performance evaluation, we first crawl a large news-to-report dataset and then
evaluate our approach on this dataset, and the generated reports are given for
the subjective evaluation.
