In this paper, we explore machine learning (ML) methods to improve inflation forecasting in Brazil. An extensive out-of-sample forecasting exercise is designed with multiple horizons, a large database of 501 series, and 50 forecasting methods, including new ML techniques proposed here,...

This paper analyses the long-memory properties of both the conditional mean and variance of UK real GDP over the period 1851-2013 by estimating a multivariate ARFIMA-FIGARCH model (with the unemployment rate and inflation as explanatory variables). The results suggest that this series is...

This paper analyses the long-memory properties of both the conditional mean and variance of UK real GDP over the period 1851-2013 by estimating a multivariate ARFIMA-FIGARCH model (with the unemployment rate and inflation as explanatory variables). The results suggest that this series is...

In the first part of the paper we present some classical actuarial models (the collective and individual risk model) and the probability theory behind. A discussion of pros and cons of each approach leads to an alternative approach where the losses on each policy is modeled by an individual...

In line with the recent developments on the statistical analysis of functional data, we develop the semiparametric functional autoregressive (FAR) modeling approach to the density forecasting analysis of national inflation rates using sectoral inflation rates in the UK over the period January...

This paper analyses the long-memory properties of both the conditional mean and variance of UK real GDP over the period 1851-2013 by estimating a multivariate ARFIMA-FIGARCH model (with the unemployment rate and inflation as explanatory variables). The results suggest that this series is...

For decades, the academic literature has focused on three survey measures of expected inflation: the Livingston Survey, the Survey of Professional Forecasters, and the Michigan Survey. While these measures have been useful in developing models of forecasting inflation, the data are low frequency...

Among the many presumed characteristics of gold, the ability to act as an enduring store of value is frequently noted. In this paper, the ability of gold to dynamically hedge against inflation is examined for various holding periods using the continuous wavelet transformation. Gold is first...

Fertility and Inflation rate convergence/divergence analysis is empirically studied for decades. The China and India growth story had remained different in relation to perhaps the rest of three members (Russia excluded in the present study due to incomplete data). It was witnessed that wide...

Global excess liquidity roaming the world’s financial markets (or its sudden absence) is sometimes believed to limit sovereign monetary policy even in large economies such as the euro area. However, there is still discussion about what constitutes global excess liquidity and how exactly it...