This paper compares the predictive power of credit scoring models based on machine learning techniques with that of traditional loss and default models. Using proprietary transaction-level data from a leading fintech company in China for the period between May and September 2017, we test the...

We develop a novel trade sentiment index (TSI) based on textual analysis and machine learning applied on a big data pool that assesses the positive or negative tone of the Chinese media. We find the TSI to contribute around 10% of model capacity to explain the stock price variability of 60...

This paper provides the first systematic study of how minimum wage policies in China affect firm employment over the 2000-2007 periods. Using a novel dataset of minimum wage regulations across more than 2,800 counties matched with firm-level data, we investigate both the effect of the minimum...

This paper compares three types of early warning indicators of financial instability – those based on financial market prices, those based on normalized measures of total credit and those based on liabilities of financial intermediaries. Prices perform well as concurrent indicators of...