Andreas Joseph

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Sur la base des exigences liées au financement

Coauteurs

Guanrong ChenCity University of Hong KongAdresse e-mail validée de cityu.edu.hk
Marcus BuckmannResearcher, Bank of EnglandAdresse e-mail validée de bankofengland.co.uk
Neeltje van HorenBank of England, University of AmsterdamAdresse e-mail validée de bankofengland.co.uk
Jumana SaleheenChief Economist and Head of Investment Strategy, Europe. Vanguard Asset Management.Adresse e-mail validée de vanguard.co.uk
Chiara OsbatEuropean Central BankAdresse e-mail validée de ecb.int
Kristina BluwsteinResearch Economist, Bank of EnglandAdresse e-mail validée de bankofengland.co.uk
Özgür ŞimşekProfessor of Artificial Intelligence, University of BathAdresse e-mail validée de bath.ac.uk
Sujit KapadiaBank of EnglandAdresse e-mail validée de bankofengland.co.uk
Michalis VasiosEuropean Securities and Markets AuthorityAdresse e-mail validée de esma.europa.eu
Irena VodenskaBoston UniversityAdresse e-mail validée de bu.edu
H. Eugene StanleyProfessor of Physics, Boston UniversityAdresse e-mail validée de bu.edu
g kapetaniosProfessor of Finance and Econometrics, Kings College LondonAdresse e-mail validée de kcl.ac.uk
Franco RuzzenentiEnergy and Sustainability Research Institute Groningen (ESRIG), University of GroningenAdresse e-mail validée de rug.nl
Michael McMahonProfessor of Economics, University of OxfordAdresse e-mail validée de economics.ox.ac.uk
Galina PotjagailoBank of EnglandAdresse e-mail validée de bankofengland.co.uk

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Andreas Joseph

Research Economist, Bank of England

Adresse e-mail validée de bankofengland.co.uk - Page d'accueil

economics machine learning networks financial crises


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Machine learning at central banks C Chakraborty, A Joseph Staff Working Paper Series, 2017	253	2017
Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach K Bluwstein, M Buckmann, A Joseph, S Kapadia, Ö Simsek Journal of International Economics, 2023	116	2023
Parametric inference with universal function approximators A Joseph arXiv, 1903.04209, 2019	112*	2019
All you need is cash: Corporate cash holdings and investment after the financial crisis A Joseph, C Kneer, N Van Horen, J Saleheen CEPR Discussion Paper No. DP14199, 2022	60*	2022
OTC Microstructure in a Period of Stress: A Multi-layered Network Approach A Joseph, M Vasios Journal of Banking & Finance, 106400, 2022	35*	2022
Compendium on the diagnostic toolkit for competitiveness P Karadeloglou, K Benkovskis, G Aiello, B Bluhm, E Bobeica, C Buelens, ...	33*	2015
Cross-border portfolio investment networks and indicators for financial crises A Joseph, S Joseph, G Chen Scientific Reports 4 (3991), 2014	33	2014
Forecasting UK inflation bottom up GK Andreas Joseph, Galina Potjagailo, Eleni Kalamara Bank of England Staff Working Paper 915, 2021	31*	2021
Network centrality and key economic indicators: A case study A Joseph, G Chen Network Models in Economics and Finance, 159-180, 2014	24*	2014
Composite centrality: a natural scale for complex evolving networks AC Joseph, G Chen Physica D: Nonlinear Phenomena 267, 58-67, 2014	22	2014
An interpretable machine learning workflow with an application to economic forecasting M Buckmann, A Joseph, H Robertson Bank of England, 2022	19	2022
Deep reinforcement learning in a monetary model M Chen, A Joseph, M Kumhof, X Pan, X Zhou arXiv preprint arXiv:2104.09368, 2021	19	2021
Complex Networks & Their Applications V: Proceedings of the 5th International Workshop on Complex Networks and Their Applications (COMPLEX NETWORKS 2016) H Cherifi, S Gaito, W Quattrociocchi, A Sala Springer, 2016	19	2016
Netconomics: Novel Forecasting Techniques from the Combination of Big Data, Network Science and Economics A Joseph, I Vodenska, E Stanley, G Chen arXiv preprint arXiv:1403.0848, 2014	13	2014
Machine learning at central banks (tech. rep.). Bank of England C Chakraborty, A Joseph Working Paper, 2017	11	2017
Degree-energy-based local random routing strategies for sensor networks F Yan, AKH Yeung, AC Joseph, G Chen Communications in Nonlinear Science and Numerical Simulation 20 (1), 250-262, 2015	9	2015
Opening the black box: Machine learning interpretability and inference tools with an application to economic forecasting M Buckmann, A Joseph, H Robertson Data Science for Economics and Finance: Methodologies and Applications, 43-63, 2021	7	2021
Interactions between financial and environmental networks in OECD countries F Ruzzenenti, A Joseph, E Ticci, P Vozzella, G Gabbi PLoS One 10 (9), e0136767, 2015	7	2015
A framework for statistical inference on machine learning models A Joseph, S Regressions Working Paper, Bank of England, 2019	5	2019
Opening the machine learning black box A Joseph Bank Underground Blog, Bank of England, 2019	5	2019

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