Modern investors face a high-dimensional prediction problem: thousands of observable variables are potentially relevant for forecasting. We reassess the conventional wisdom on market efficiency in light of this fact. In our model economy, which resembles a typical machine learning setting, N...

We analyze factors behind 23,213 distressed acquisitions in European emerging markets from 2007–2019. Besides the impact of financial ratios, legal form, ownership structure, firm size, and age, we emphasize the role of institutions and channels of their propagation. We show that the quality...

Using European Commission real-time data, we show that potential output (PO) estimates were substantially and persistently revised downwards after the Great Recession. We decompose PO revisions into revisions of the capital stock, trend labor, and trend total-factor productivity (TFP)....

We use the Kalman filter to estimate the structure of the secret currency basket of the renminbi based on daily data between 2005 and 2009. The currency weights of selected currencies are modeled as stochastic processes (random walks). The official announcement of the new exchange rate regime in...

This paper analyses persistence and non-linearities in quarterly and monthly US Treasury 10-year bond yields over the period 1962-2021 using two different fractional integration approaches including Chebyshev polynomials and Fourier functions respectively. The results for both quarterly and...