Dictionary approaches are at the forefront of current techniques for quantifying central bank communication. This paper proposes embeddings - a language model trained using machine learning techniques - to locate words and documents in a multidimensional vector space. To accomplish this, we...

In this paper we quantitatively analyse monetary policy statements of the Reserve Bank of India (RBI) from 1998 to 2017, across the regimes of five governors. We first ask whether the content and focus of the statements have changed with the adoption of inflation-targeting as a framework for...