The difficulty in modelling inflation and the significance in discovering the underlying data generating process of inflation is expressed in an ample literature regarding inflation forecasting. In this paper we evaluate nonlinear machine learning and econometric methodologies in forecasting the...

We forecast CPI inflation in the United Kingdom up to one year ahead using a large set of monthly disaggregated CPI item series combined with a wide set of forecasting tools, including dimensionality reduction techniques, shrinkage methods and non-linear machine learning models. We find that...

We develop an asset-pricing model with endogenous corporate policies that explains how inflation jointly impacts real asset prices and corporate default risk. Our model includes two empirically grounded nominal frictions: fixed nominal coupons and sticky profitability. Taken together, these...

We develop an asset-pricing model with endogenous corporate policies that explains how inflation jointly impacts real asset prices and corporate default risk. Our model includes two empirically grounded nominal frictions: fixed nominal coupons and sticky profitability. Taken together, these two...

We develop an asset-pricing model with endogenous corporate policies that explains how inflation jointly impacts real asset prices and corporate default risk. Our model includes two empirically grounded nominal frictions: fixed nominal coupons and sticky profitability. Taken together, these two...

The quite recent (2007-2009) global financial crisis (GFC), which was caused by a mix of business, regulatory, supervisory, and macroeconomic (in terms of sub-optimal fiscal and/or monetary policies) failures, had a negative impact both on the financial system – with the failure, through the...