Computational methods to gauge investor sentiment from commonly used online data sources that rely on machine learning classifiers and lexicons have shown considerable promise, but suffer from measurement and classification errors. In our work, we develop a simple, direct and unambiguous...

This paper presents a detailed set of new, quantity-based indicators of financial integration in the euro area. The indicators are based on granular data from securities holdings statistics and help us disentangle the main drivers of the portfolio changes observed since the financial crisis....

The quality of the geographical breakdown in the balance of payments and related statistics (such as international trade in goods, trade in services and foreign direct investment (FDI) statistics) can be assessed by means of comparisons with mirror data in order to assess bilateral asymmetries....