Calibration is a highly challenging task, in particular in multiple yield curve markets. This paper is a first attempt to study the chances and challenges of the application of machine learning techniques for this. We employ Gaussian process regression, a machine learning methodology having many...

Calibration is a highly challenging task, in particular in multiple yield curve markets. This paper is a first attempt to study the chances and challenges of the application of machine learning techniques for this. We employ Gaussian process regression, a machine learning methodology having many...

En este trabajo se obtiene una estimación de las expectativas de inflación para varios países de América Latina utilizando un modelo afín, que incluye como factores la inflación observada y los parámetros generados a partir de las curvas de rendimientos cupón cero sobre bonos soberanos...

Central banks have sometimes turned their attention to long-term interest rates as a target or as a diagnosis of policy. This paper describes two historical episodes when this happened - the US in 1942-51 and the UK in the 1960s - and uses a model of inflation dynamics to evaluate monetary...

Central banks have sometimes turned their attention to long-term interest rates as a target or as a diagnosis of policy. This paper describes two historical episodes when this happened - the US in 1942-51 and the UK in the 1960s - and uses a model of inflation dynamics to evaluate monetary...

In this paper, we examine the forecasting ability of an affine term structure framework that jointly models the markets for Treasuries, inflation-protected securities, inflation derivatives, and oil future prices based on no-arbitrage restrictions across these markets. On the methodological...