Forecast of time-varying effects of post-GFC monetary policy + a novel computing application

Projektinformationen

Post-GFC Monetary Policy

ID Finanzhilfevereinbarung: 657182

DOI 10.3030/657182

Abgeschlossenes Projekt

EK-Unterschriftsdatum 27 August 2015

Startdatum 20 Januar 2016

Enddatum 19 Januar 2018

Finanziert unter

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Gesamtkosten € 158 121,60

EU-Beitrag € 158 121,60

Koordiniert durch

BCAM - BASQUE CENTER FOR APPLIED MATHEMATICS
Spain

Ziel

Central banks worldwide routinely use models in assessing and forecasting the global and domestic economic outlook in order to determine the most suitable monetary policies. Economies evolve over time and policies that worked in the 1980s might not be viable at the present time, thus models must be flexible to account for these changes. Undoubtedly, it is difficult to identify the exact point in time when a change in macroeconomic behaviour occurs, particularly a change that will trigger a reactive monetary policy to neutralise its negative effects. The current project proposes a new methodology, which due to its local nature can react faster to changes in the process than other existing methodologies. This project aims at breaking new ground in several respects. First, by proposing for the first time a nonparametric local linear estimator of multivariate processes with possible smooth or abrupt changes in the parameters. Second, by developing a user-friendly computational package with the aforementioned functionality. Finally, by investigating the effect for G7 and Eurozone economies of the monetary policies driven by the global financial crisis.

Wissenschaftliches Gebiet

• social sciences › economics and business › economics › econometrics
• social sciences › economics and business › economics › macroeconomics
• social sciences › economics and business › economics › monetary and finances
• engineering and technology › environmental engineering › energy and fuels › renewable energy › hydroelectricity › marine energy › wave power
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning

Programm/Programme

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Thema/Themen

• MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)

Aufforderung zur Vorschlagseinreichung

H2020-MSCA-IF-2014

Finanzierungsplan

MSCA-IF-EF-ST - Standard EF

Koordinator

BCAM - BASQUE CENTER FOR APPLIED MATHEMATICS

• Netto-EU-Beitrag: € 158 121,60
• Adresse: AL MAZARREDO 14 ; 48009 Bilbao ; Spanien
• Region: Noreste › País Vasco › Bizkaia
• Aktivitätstyp: Research Organisations
• Gesamtkosten: € 158 121,60