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Content
2023
- 58-00 The post-pandemic new normal for central bank statistics
In: Post-pandemic landscape for central bank statistics
by Saira Jahangir-Abdoelrahman & Bruno Tissot - 58-01 Measuring the past to better understand the present and chart the future: the central bank network on historical monetary and financial statistics
In: Post-pandemic landscape for central bank statistics
by Claudio Borio - 58-02 Wealth inequality and COVID-19 in the U.S.: evidence from the distributional financial accounts
In: Post-pandemic landscape for central bank statistics
by Mike Batty & Ella Deeken & Elizabeth Holmquist & Alice Henriques Volz - 58-03 Sectoral financial positions and debt levels at the post-pandemic period
In: Post-pandemic landscape for central bank statistics
by Ahmet Tayyar Firat - 58-04 Covid-19 crises - New rapid data for the Israel economy and making it accessible to all
In: Post-pandemic landscape for central bank statistics
by Daniel Rosenman - 58-05 The impact of central bank interventions non-performing loans under Covid-19 pandemic - The United Kingdom and Brazilian Study Case
In: Post-pandemic landscape for central bank statistics
by Frederico Barros Diniz & Paulo Vieira Costa - 58-06 The effect of pandemic on Central Bank of Türkiye real sector database and post-pandemic adjustments
In: Post-pandemic landscape for central bank statistics
by Merve Artman & İsmail Onur Yılmaz & Fatih Yalçın Mete & Mustafa Tanyer - 58-07 Update on the work of the International Network for Exchanging Experiences on Statistical Handling of Granular Data (INEXDA)
In: Post-pandemic landscape for central bank statistics
by Stefan Bender & Jannick Blaschke & Christian Hirsch - 58-08 Sharing researcher-generated code and value-added documentation in a trusted research environment
In: Post-pandemic landscape for central bank statistics
by Louise Corti & Hannah Hodge-Waller - 58-09 Joint secondary anonymisation of categorical and numerical variables in sensitive time series microdata - novel approach for Statistical Disclosure Control of a sensitive microdata set published in BELab data laboratory
In: Post-pandemic landscape for central bank statistics
by Eugenia Koblents & Alberto Lorenzo Megia - 58-10 Introduction to and application of SDC rules using self-developed tools
In: Post-pandemic landscape for central bank statistics
by Jannick Blaschke & Matthias Gomolka & Christian Hirsch & Sebastian Seltmann & Harald Stahl - 58-11 Nationality vs residency approach: measuring the impact of MNEs production structure on corporate financial statement statistics
In: Post-pandemic landscape for central bank statistics
by Klaus Gerstner & Susanne Walter & Javier Gonzalez & Santiago Fernández de Lis & Maria Garcia Riego & Florian Resch & Stefan Kischner & Alexandre Neves & Diogo Silva - 58-12 Challenges in the external statistics framework: how to register MNE financial restructuring operations
In: Post-pandemic landscape for central bank statistics
by Nadia Accoto & Giuseppina Marocchi & Silvia Sabatini - 58-13 Does firm size predict the residency status of the final investor? Evidence from Romanian FDI enterprises
In: Post-pandemic landscape for central bank statistics
by Catalina-Florentina Pricope - 58-14 Who stands behind European FDI investors? A novel characterisation of pass-through within the EU
In: Post-pandemic landscape for central bank statistics
by Carles Gómez-Llabrés & Fausto Pastoris & Martin Schmitz - 58-15 A typology of captive financial institutions in Luxembourg: lessons from a new database
In: Post-pandemic landscape for central bank statistics
by Gabriele Di Filippo & Frédéric Pierret - 58-16 Microdata base for sustainability indicators (ESG) developed at the Banco de España
In: Post-pandemic landscape for central bank statistics
by Borja Fernández Rosillo San Isidro - 58-17 Constructing forward-looking climate-related physical risk indicators - The use of private owned data for forward-looking aggregates at sector-country level for official statistics
In: Post-pandemic landscape for central bank statistics
by Maurice Fehr & Elena Triebskorn & Jens Mehrhoff - 58-18 Materiality of ESG factors in financial markets and financial statistics
In: Post-pandemic landscape for central bank statistics
by Patrick Slovik & Farah Azman - 58-19 An estimation of the carbon footprint in Spanish credit institutions' business lending portfolio - Experimental statistics for credit institutions in Spain
In: Post-pandemic landscape for central bank statistics
by Luis Ángel Maza - 58-20 Measuring the emission profile of self-proclaimed sustainable exchange-traded funds
In: Post-pandemic landscape for central bank statistics
by Hendrik Christian Doll & Maurice Fehr & Ece Yalcin-Roder & Gabriela Alves Werb - 58-21 The euro short-term rate ( STR) - the new role of central bank statistics in financial markets - a financial benchmark fully based on statistical microdata
In: Post-pandemic landscape for central bank statistics
by Ludovica Amorese & Javier Huerga & Ronald Rühmkorf - 58-22 Something old, something new: a reflection on the new normal for statistical producers
In: Post-pandemic landscape for central bank statistics
by Lígia Maria Nunes - 58-23 Product level greenhouse gas contents - how to get there?
In: Post-pandemic landscape for central bank statistics
by Ulf von Kalckreuth - 58-24 A characterisation of financial assets based on their cash-flow structure
In: Post-pandemic landscape for central bank statistics
by Celestino Girón - 58-25 A timely estimation of local investment trends using administrative data
In: Post-pandemic landscape for central bank statistics
by Michele Loberto - 58-26 Using the press as a real-time economic confidence indicator
In: Post-pandemic landscape for central bank statistics
by Juan Pablo Cova & Hugo Peralta V & María del Pilar Cruz N - 58-27 Measuring macroprudential policy credibility using machine learning
In: Post-pandemic landscape for central bank statistics
by Muhammad Abdul Jabbar & Nursidik Heru Praptono & Okiriza Wibisono & Alvin Andhika Zulen - 58-28 A probabilistic method for reconstructing the FDI network in search of ultimate hosting economies
In: Post-pandemic landscape for central bank statistics
by Nadia Accoto & Valerio Astuti & Costanza Catalano - 58-29 Sentiment analysis of user's reviews on non-bank payment service apps
In: Post-pandemic landscape for central bank statistics
by Muhammad Hafiruddin & Mohammad Khoyrul Hidayat & Arinda Dwi Okfantia & Nursidik Heru Praptono - 58-30 Fintech in statistical classifications: suggestions and tentative figures in a central bank context
In: Post-pandemic landscape for central bank statistics
by Ulf von Kalckreuth & Norman Wilson & Celestino Girón & Urszula Kochanska & Enzo Buthiot & Yann Wicky & Luis Ángel Maza & Román Santos - 58-31 Issues in reflecting digital assets in the Flow of Funds Accounts
In: Post-pandemic landscape for central bank statistics
by Yoshiko Sato - 58-32 Digitally-enhanced macroeconomic statistics manuals: the quest for methodological serviceability and compilation synergies
In: Post-pandemic landscape for central bank statistics
by Celestino Girón - 58-33 Measuring payment system policy credibility using machine learning
In: Post-pandemic landscape for central bank statistics
by Muhammad Abdul Jabbar & Okiriza Wibisono & Alvin Andhika Zulen - 58-34 A decision-making rule to detect insufficient data quality - an application of statistical learning techniques to the non-performing loans banking data
In: Post-pandemic landscape for central bank statistics
by Paolo Cimbali & Marco De Leonardis & Alessio Fiume & Barbara La Ganga & Luciana Meoli & Marco Orlandi - 58-35 Data quality management of entity group data: relevance and tools to address current challenges
In: Post-pandemic landscape for central bank statistics
by Bruno Carreiras - 58-36 Big data analytics on payment system data for measuring household consumption in Indonesia
In: Post-pandemic landscape for central bank statistics
by Renardi Ardiya Bimantoro & Mohammad Khoyrul Hidayat & Muhammad Abdul Jabbar & Alvin Andhika Zulen - 58-37 Quantitative Analysis of Haircuts: Evidence from the Japanese Repo and Securities Lending Markets
In: Post-pandemic landscape for central bank statistics
by Kana Sasamoto & Kazuya Suzuki - 58-38 How can big data improve the quality of tourism statistics? The Bank of Italy's experience in compiling the "travel" item of the Balance of Payments
In: Post-pandemic landscape for central bank statistics
by Andrea Carboni & Costanza Catalano & Claudio Doria - 58-39 Banks' real estate exposures: risk-based approach to measurement of exposures and concentrations
In: Post-pandemic landscape for central bank statistics
by Patrick Slovik & Farah Azman - 58-40 Examining concentration and similarity in institutional investor's holdings
In: Post-pandemic landscape for central bank statistics
by Ariel Mantzura - 58-41 Statistical matching for anomaly detection in insurance assets granular reporting
In: Post-pandemic landscape for central bank statistics
by Vittoria La Serra & Emiliano Svezia - 58-42 Making omelettes without new eggs: a story about a self-sufficient way of producing new statistics
In: Post-pandemic landscape for central bank statistics
by Miguel Fonseca & Sónia Mota - 59-00 Data science in central banking: applications and tools
In: Data science in central banking: applications and tools
by Douglas Kiarelly Godoy de Araujo & Giuseppe Bruno & Juri Marcucci & Rafael Schmidt & Bruno Tissot - 59-01 Artificial intelligence in finance – quo vadis
In: Data science in central banking: applications and tools
by Joerg Osterrieder - 59-02 Swimming in the data lake: an application to NielsenIQ Homescan
In: Data science in central banking: applications and tools
by Minnie H Cui & Gene (Fa Gui) Jiang & Botlhale Mosweu - 59-03 Implementing a multi-tenant big data platform – challenges and approaches taken in the BIS
In: Data science in central banking: applications and tools
by Hiren Jani & Anand Kannan - 59-04 Modern computing platforms as key technology for central banks, financial supervisors, and regulators
In: Data science in central banking: applications and tools
by John Ashley & Jochen Papenbrock - 59-05 The data analytics lab – from innovation to products
In: Data science in central banking: applications and tools
by Mona Amer & Hiren Jani & Mathieu Le Cam - 59-06 Containerisation for research collaboration: platform-independent economics
In: Data science in central banking: applications and tools
by Venkat Balasubramanian & Kim P Huynh & Danielle V Handel & Anson Ho & David Jacho-Chávez & Carson Rea - 59-07 Banco de Portugal data centric-strategy for the adoption of a modern data architecture
In: Data science in central banking: applications and tools
by Caio Costa & Guilherme de Sousa & Hugo Matos - 59-08 Microdata utility: data loading with automated data parsing and data structure creation
In: Data science in central banking: applications and tools
by Marcus Jellinghaus - 59-09 Using non-traditional point of interest data as merchant survey sample frames
In: Data science in central banking: applications and tools
by Angelika Welte & Joy Wu & Marcel Voia - 59-10 gingado: a machine learning library focused on economics and finance
In: Data science in central banking: applications and tools
by Douglas Kiarelly Godoy de Araujo - 59-11 A multi-layer dynamic network for significant European banking groups
In: Data science in central banking: applications and tools
by Annalaura Ianiro & Joerg Reddig - 59-12 EU single resolution board system for data collection, transformation and analysis
In: Data science in central banking: applications and tools
by Michal Piechocki & Karol Minczyński & Marta Kuczyńska - 59-13 A network analysis of the JGB repo market
In: Data science in central banking: applications and tools
by Yasufumi Gemma & Takumi Horikawa & Yujiro Matsui - 59-14 Data science and statistics: a network analysis to understand the foreign investment
In: Data science in central banking: applications and tools
by João Falcão Silva & Flávio Pinheiro & Bojan Stavrik - 59-15 Cross-currency swap market through the lens of OTC derivative transaction data – impact of Covid-19 and subsequent recovery
In: Data science in central banking: applications and tools
by Kazuaki Washimi & Rinto Maruyama - 59-16 Changes in the lending activity of banks in Poland, including the portfolio of non-financial corporate loans
In: Data science in central banking: applications and tools
by Aneta Kosztowniak - 59-17 Is mobile money part of money? Understanding the trends and measurement / Evaluating mobile money access and use with non-traditional data sources
In: Data science in central banking: applications and tools
by Kazuko Shirono & Bidisha Das & Yingjie Fan & Esha Chhabra & Hector Carcel-Villanova - 59-18 Sentiment analysis of tourist reviews from online travel forum for improving Indonesia tourism sector
In: Data science in central banking: applications and tools
by Muhammad Abdul Jabbar & Arinda Dwi Okfantia & Anggraini Widjanarti & Alvin Andhika Zulen - 59-19 Mailbot – optimising the process of answering statistical queries
In: Data science in central banking: applications and tools
by Daphne Aurouet & Nina Blatnik & Samo Boh & Andrea Colombo & Almir Delic & Jordi Gutiérrez & Gavril Petrov & Kristine Rikova - 59-20 Central bank communication: what can a machine tell us about the art of communication? One size does not fit all
In: Data science in central banking: applications and tools
by Joan Huang & John Simon - 59-21 News and banks' equities: do words have predictive power?
In: Data science in central banking: applications and tools
by Valerio Astuti & Giuseppe Bruno & Sabina Marchetti & Juri Marcucci - 59-22 Natural language processing for risk management
In: Data science in central banking: applications and tools
by Bijan Sahamie - 59-23 Integrating natural language processing technologies to central bank operations at Bank of Thailand
In: Data science in central banking: applications and tools
by Jiradett Kerdsri & Pucktada Treeratpituk - 59-24 Machine learning for measuring central bank policy credibility and communication from news
In: Data science in central banking: applications and tools
by Muhammad Abdul Jabbar & Okiriza Wibisono & Anggraini Widjanarti & Alvin Andhika Zulen - 59-25 A machine learning approach to narrative retrieval in economic news: the case of oil price uncertainty
In: Data science in central banking: applications and tools
by Donald Jay Bertulfo - 59-26 Creation of a structured sustainability database from company reports – a web application prototype for information retrieval and storage
In: Data science in central banking: applications and tools
by Eugenia Koblents & Alejandro Morales - 59-27 Measuring text-based sentiments from monetary policy statements – a Malaysian case study using natural language processing
In: Data science in central banking: applications and tools
by Eilyn Chong & Sui-Jade Ho - 59-28 Interactive visualisation tool: outlier detection in large multi-dimensional data sets
In: Data science in central banking: applications and tools
by Christoph Leitner & Thomas Kemetmueller & Philipp Reisinger - 59-29 Spot the flaw – using power BI for quality control: an application to non-financial corporations' data
In: Data science in central banking: applications and tools
by José Alexandre Neves & Tiago Pinho Pereira & Ana Bárbara Pinto - 59-30 Leveraging the power of visualisation for data exploration and insights communication – visual analytics with Tableau
In: Data science in central banking: applications and tools
by Zunaira Rasheed - 59-31 Defining business transformation rules in a standardised format – a practical case
In: Data science in central banking: applications and tools
by Daniela Arru & Giulia Oddone - 59-32 Anomaly intersection: disentangling data quality and financial stability developments in a scalable way
In: Data science in central banking: applications and tools
by Gemma Agostoni & Louis de Charsonville & Marco D'Errico & Cristina Leonte & Grzegorz Skrzypczynski - 59-33 Introducing explainable supervised machine learning into interactive feedback loops for statistical production systems
In: Data science in central banking: applications and tools
by Thomas Gottron & Georgios Kanellos & Johannes Micheler & José Martínez & Carlos Mougan - 59-34 Stacking machine learning models for anomaly detection: comparing AnaCredit to other banking data sets
In: Data science in central banking: applications and tools
by Davide Nicola Continanza & Andrea del Monaco & Marco di Lucido & Daniele Figoli & Pasquale Maddaloni & Filippo Quarta & Giuseppe Turturiello - 59-35 Nowcasting business and financial cycles using low- and high-frequency data
In: Data science in central banking: applications and tools
by Alberto Americo & Frederik Hering & Rukmani Vaithianathan - 59-36 Nowcasting economic activity with mobility data
In: Data science in central banking: applications and tools
by Koji Takahashi & Kohei Matsumura & Yusuke Oh & Tomohiro Sugo - 59-37 Extracting economic sentiment from news articles: the case of Korea
In: Data science in central banking: applications and tools
by Younghwan Lee & Beomseok Seo - 59-38 Big data analytics on real-time gross settlement data for tracking corporate activity
In: Data science in central banking: applications and tools
by Mohammad Khoyrul Hidayat & Amin Endah Sulistiawati & Alvin Andhika Zulen - 59-39 Deep vector autoregression for macroeconomic data
In: Data science in central banking: applications and tools
by Marc Agustí & Ignacio Vidal-Quadras Costa & Patrick Altmeyer - 59-40 What should be the optimal financial structure of the FDI inflows to Poland in stimulating growth processes?
In: Data science in central banking: applications and tools
by Aneta Kosztowniak - 59-41 Big data analytics on payment system data for measuring household consumption in Indonesia
In: Data science in central banking: applications and tools
by Muhammad Abdul Jabbar & Mohammad Khoyrul Hidayat & Alvin Andhika Zulen - 59-42 Tracking the economy during the Covid-19 pandemic: the contribution of high frequency indicators
In: Data science in central banking: applications and tools
by Jérôme Coffinet & Jean-Brieux Delbos & Jean-Noël Kien & Etienne Kintzler & Ariane Lestrade & Michel Mouliom & Théo Nicolas & Vojtech Kaiser
2022
- 56-01 Progress, challenges and recent innovations in sustainable finance statistics
In: Statistics for Sustainable Finance
by Christian Schmieder & Bruno Tissot - 56-02 Opening remarks
In: Statistics for Sustainable Finance
by François Villeroy de Galhau - 56-03 The simple economics of climate change
In: Statistics for Sustainable Finance
by Professor Christian Gollier - 56-04 Assessing and acting on climate risks requires better data and taxonomy
In: Statistics for Sustainable Finance
by Luiz Awazu Pereira da Silva - 56-05 Data needs, an overview on the Irving Fisher Committee stock taking
In: Statistics for Sustainable Finance
by Christian Schmieder & Elena Triebskorn - 56-06 Assessing the effectiveness and impact of central bank and supervisory policies in greening the financial system across the Asia-Pacific
In: Statistics for Sustainable Finance
by Sylvain Augoyard & Adrian Fenton & Aziz Durrani & Ulrich Volz - 56-07 The low-carbon transition, climate disclosure and firm credit risk
In: Statistics for Sustainable Finance
by Sante Carbone & Margherita Giuzio & Sujit Kapadia & Johannes Sebastian Krämer & Ken Nyholm & Katia Vozian - 56-08 Greening monetary policy: Evidence from The People's Bank of China
In: Statistics for Sustainable Finance
by Camille Macaire & Alain Naef - 56-09 BCCR's experience in environmental accounting and advancements of the Climate Change Strategic Analysis Group
In: Statistics for Sustainable Finance
by Irene Alvarado-Quesada - 56-10 How integrated reporting by banks may foster sustainable finance?
In: Statistics for Sustainable Finance
by Antonio Colangelo & Jean-Marc Israël - 56-11 The carbon content of Italian loans
In: Statistics for Sustainable Finance
by Ivan Faiella & Luciano Lavecchia - 56-12 The NGFS (Network for Greening the Financial System) Progress Report on Bridging Data Gaps and beyond
In: Statistics for Sustainable Finance
by Léa Grisey - 56-13 Private financial institution perspectives on climate and nature data
In: Statistics for Sustainable Finance
by Michael Hugman - 56-14 Statistical data needs on sustainable finance for central banks
In: Statistics for Sustainable Finance
by Sabbah Gueddoudj - 56-15 The Bundesbank's Sustainable Finance Data Hub
In: Statistics for Sustainable Finance
by Maurice Fehr & Christine Schlitzer & Elena Triebskorn - 56-16 Tracking sustainable investment: who is financing who?
In: Statistics for Sustainable Finance
by Francisco Conceição & Rafael Figueira & Pedro Silva - 56-17 Are ethical and green investment funds more resilient?
In: Statistics for Sustainable Finance
by Laura Capota & Margherita Giuzio & Sujit Kapadia & Dilyara Salakhova - 56-18 The pricing of carbon risk in syndicated loans: which risks are priced and why?
In: Statistics for Sustainable Finance
by Torsten Ehlers & Frank Packer & Kathrin de Greiff - 56-19 Everything you always wanted to know about green bonds (but were afraid to ask)
In: Statistics for Sustainable Finance
by Danilo Liberati & Giuseppe Marinelli - 56-20 Climate transition risk metrics – Investigating convergence and estimation drivers
In: Statistics for Sustainable Finance
by Julia Anna Bingler & Chiara Colesanti Senni & Pierre Monnin - 56-21 Making real financial sustainability through formal and informal indicators assessment
In: Statistics for Sustainable Finance
by María Lidón Lara Ortiz - 56-22 Measuring the development of French labelled funds and their contribution to sustainable financing of the economy
In: Statistics for Sustainable Finance
by David Nefzi - 56-23 Accelerated Data Science, AI and GeoAI for sustainable finance in central banking and supervision
In: Statistics for Sustainable Finance
by John Ashley & Jochen Papenbrock & Peter Schwendner - 56-24 Carbon costs – Towards a system of indicators for the carbon impact of products, enterprises and industries
In: Statistics for Sustainable Finance
by Ulf von Kalckreuth - 56-25 Application of text mining to the analysis of climate-related disclosures
In: Statistics for Sustainable Finance
by Ángel Iván Moreno & Teresa Caminero - 56-26 Transition versus physical climate risk pricing in euro area financial markets: A text-based approach
In: Statistics for Sustainable Finance
by Giovanna Bua & Daniel Kapp & Federico Ramella & Lavinia Rognone - 56-27 How proxies and publicly available data can be used to construct indicators on transition risk, physical risks and green taxonomies
In: Statistics for Sustainable Finance
by Justin Dijk & Derek Dirks & Willemijn Ouwersloot & Juan Pablo Trespalacios Miranda - 56-28 Digital finance, development, and climate change
In: Statistics for Sustainable Finance
by Sébastien Galanti & Ҫiğdem Yilmaz Ӧzsoy - 57-01 Machine learning applications in central banking: an overview
In: Machine learning in central banking
by Douglas Kiarelly Godoy de Araujo & Giuseppe Bruno & Juri Marcucci & Rafael Schmidt & Bruno Tissot - 57-02 Opening Remarks
In: Machine learning in central banking
by Piero Cipollone - 57-03 Monetary economics and communication: new data, new tools,new and old questions
In: Machine learning in central banking
by Michael McMahon - 57-04 Cloud computing research collaboration:an application to access to cash and financial services
In: Machine learning in central banking
by Danielle V Handel & Anson T Y Ho & Kim P Huynh & David T Jacho-Chavez & Carson Rea - 57-05 Machine learning for anomaly detection in datasets with categorical variables and skewed distributions
In: Machine learning in central banking
by Matteo Accornero & Gianluca Boscariol - 57-06 A novel machine learning-based validation workflow for financial market time series
In: Machine learning in central banking
by Magdalena Erdem & Taejin Park - 57-07 Time series outlier detection, a data-driven approach
In: Machine learning in central banking
by Nicola Benatti & Alexis Maurin - 57-08 Anomaly detection methods and tools for big data
In: Machine learning in central banking
by Shir Kamenetsky Yadan - 57-09 Unsupervised outlier detection in official statistics
In: Machine learning in central banking
by Nhan-Tam Nguyen - 57-10 Restoration of omissions in the quarterly indicators of financial statements for the other financial institutions in the Bank of Russia
In: Machine learning in central banking
by Anna Borisenko & Denis Koshelev & Petr Milyutin & Alieva Piruza - 57-11 Supervised machine learning for estimating the institutional sectors of legal entities on a large scale
In: Machine learning in central banking
by Francesca Benevolo & Thomas Gottron & Ilaria Febbo & Nicolò Pegoraro - 57-12 Data science opportunities with non-cash transactional payments
In: Machine learning in central banking
by Per Nymand-Andersen - 57-13 Using twitter data to measure inflation perception
In: Machine learning in central banking
by Julien Denes & Ariane Lestrade & Lou Richardet - 57-14 Fostering European SMEs' internationalization using big data: the BIZMAP application
In: Machine learning in central banking
by Jean-Noel Kien & Etienne Kintzler & Theo Nicolas - 57-15 Applications of variational inference in the Bank of Russia
In: Machine learning in central banking
by Sergei Seleznev & Ramis Khabibullin - 57-16 Deep learning solutions for dynamic stochastic general equilibrium models
In: Machine learning in central banking
by Mo Ashtari & Vladimir Skavysh - 57-17 Using news sentiment for economic forecasting: a Malaysian case study
In: Machine learning in central banking
by Eilyn Chong & Chiung Ching Ho & Zhong Fei Ong & Hong H Ong - 57-18 Machine learning real-time CPI forecasting
In: Machine learning in central banking
by Mariam Mamedeli - 57-19 Getting insight of employment vulnerability from online news: a case study in Indonesia
In: Machine learning in central banking
by Nursidik Heru Praptono & Alvin Andhika Zulen - 57-20 Predicting foreign investors' behavior and flows projection in Indonesia government bonds market using machine learning
In: Machine learning in central banking
by Anggraini Widjanarti & Arinda Dwi Okfantia & Muhammad Abdul Jabbar - 57-21 Text data analysis using Latent Dirichlet Allocation: an application to FOMC transcripts
In: Machine learning in central banking
by Hector Carcel-Villanova - 57-22 Estimating the effect of central bank independence on inflation using longitudinal targeted maximum likelihood estimation
In: Machine learning in central banking
by Philipp Baumann & Enzo Rossi & Michael Schomaker - 57-23 An artificial intelligence application for accounting data cleansing
In: Machine learning in central banking
by Pablo Jiménez & Tello Serrano - 57-24 Machine learning for anomaly detection in financial regulatory data
In: Machine learning in central banking
by Maryam Haghighi & Colin Jones & James Younker - 57-25 Supervisory letter writing app: expediting letter drafting and ensuring tone consistency
In: Machine learning in central banking
by Joshua Tan & Chi Ken Shum & Mohd Akmal Amri - 57-26 Disagreement between human and machine predictions
In: Machine learning in central banking
by Daisuke Miyakawa & Kohei Shintani - 57-27 Probability of default model with transactional data of Russian companies
In: Machine learning in central banking
by Gleb Buzanov & Andrey Shevelev - 57-28 The use of AI for company data gathering Finding and monitoring fintechs in Germany and France
In: Machine learning in central banking
by Elisabeth Devys & Ulf von Kalckreuth - 57-29 Novel methodologies for data quality management Anomaly detection in the Portuguese central credit register
In: Machine learning in central banking
by André Faria da Costa & Francisco Fonseca & Susana Maurício - 57-30 Monitoring at scale
In: Machine learning in central banking
by Enrico Apicella & Marco D'Errico & Pedro Marques & Antonio Ciullo & Caroline Übelhör - 57-31 The impairment costs of traditional non-quantitative retail banking practices during residential real estate foreclosure sales and their effect on National, Central & Reserve bank(s) policy
In: Machine learning in central banking
by Emmanuel Blonkowski & James N Nicol - 57-32 Machine learning-based approaches for automatic data validation and outlier control of loan microdata in the Bank of Russia
In: Machine learning in central banking
by Dimitrii Diachkov - 57-33 Classifying payment patterns with artificial neural networks: an autoencoder approach
In: Machine learning in central banking
by Luis Gerardo Gage & Raúl Morales-Resendiz & John Arroyo & Jeniffer Rubio & Paolo Barucca - 57-34 Using deep learning technique to automate banknote defect classification
In: Machine learning in central banking
by Jiradett Kerdsri & Pucktada Treeratpituk
2021
- 53-01 Incorporating micro data into macro policy decision-making
In: Micro data for the macro world
by Jean-Marc Israel & Bruno Tissot - 53-02 Paradigms for modern statistical data frameworks and systems
In: Micro data for the macro world
by Michal Piechocki - 53-03 Data management in the data evolution era at Bank of Thailand
In: Micro data for the macro world
by Pimpimol Chansang - 53-04 OeNB's reporting data model as RegTech/SupTech solution
In: Micro data for the macro world
by Johannes Turner - 53-05 Collect once, use multiple times – the Reserve Bank of New Zealand's data collection approach
In: Micro data for the macro world
by Steffi Schuster & Neil Humphries - 53-06 Best practise recommendations on facilitating access to microdata: outcomes from the INEXDA working group on data access
In: Micro data for the macro world
by Stefan Bender - 53-07 Enhancing user knowledge by providing (richer) context to microdata
In: Micro data for the macro world
by Christian Hirsch - 53-08 Post-crisis skills landscape: the emergence of "Purple People"
In: Micro data for the macro world
by Luís Teles Dias - 53-09 Financial behaviour of households under the lenses of distributional aspects: the OeNB's experiences
In: Micro data for the macro world
by Johannes Turner - 53-10 Linking micro datasets to better service policy-making and analyses
In: Micro data for the macro world
by Jean-Marc Israel - 53-11 Quality checks on granular banking data: an experimental approach based on machine learning
In: Micro data for the macro world
by Fabio Zambuto - 53-12 Predicting economic growth using machine learning techniques and sentiment analysis
In: Micro data for the macro world
by Berkay Akisoglu - 53-13 Granular data offer new opportunities for stress testing
In: Micro data for the macro world
by Cees Ullersma & Iman van Lelyveld - 53-14 Cross-border contagion risk to the Malaysian banking system
In: Micro data for the macro world
by Harikumara Sababathy & Lim Sheng Ling - 53-15 Key indicators for sectoral productivity analysis
In: Micro data for the macro world
by Laurent Olislager - 53-16 Measuring aggregate housing wealth: new insights from automated valuation models
In: Micro data for the macro world
by Susan Hume McIntosh - 53-17 Predicting and preventing financial crisis – where do we stand?
In: Micro data for the macro world
by Boris Hofmann - 54-00 Data Governance: issues for the National Statistical System
In: Issues in Data Governance
by Irena Krizman & Bruno Tissot - 54-01 Collecting data: new information sources
In: Issues in Data Governance
by Somsajee Siksamat - 54-02 Collecting data: configuring / defining the national statistical system (NSS)
In: Issues in Data Governance
by Yusuf Murangwa - 54-03 New information sources – some ethical considerations
In: Issues in Data Governance
by Stephen Penneck - 54-04 Current statistical system and future developing projects
In: Issues in Data Governance
by Hela Zghal - 54-05 New information sources: coordination of NSS & data producers outside the NSS
In: Issues in Data Governance
by Zachary Mwangi - 54-06 Building a strong community of innovative and forward looking leaders in official statistics
In: Issues in Data Governance
by Leila Ben Ali & Nougbodohoue Samson Ben-Aube - 54-07 Data Governance: an orchestra of people, processes and technology
In: Issues in Data Governance
by Maria do Carmo Moreno - 54-08 For a data revolution mastered
In: Issues in Data Governance
by Babacar Ndir - 54-09 Data strategy within BIS Innovation 2025 program
In: Issues in Data Governance
by Hiren Jani - 54-10 Managing data: how to build the capacity needed
In: Issues in Data Governance
by Philippe Gafishi - 54-11 Statistical Governance and FDI in emerging economies - the role of official statistics, with a particular focus on Sub-Saharan Africa
In: Issues in Data Governance
by Ulf von Kalckreuth - 54-12 Being in touch with our users - how statistics is getting more relevant in our society
In: Issues in Data Governance
by Sibylle von Oppeln-Bronikowski - 54-13 Microdata dissemination in Bank of Italy: now and tomorrow
In: Issues in Data Governance
by Angela Gattulli - 54-14 Updating BIS statistical processes to face the challenges of the data revolution
In: Issues in Data Governance
by Edward Lambe - 54-15 Changing role of official statistics – NSOs from data collectors to data curators
In: Issues in Data Governance
by Irena Krizman - 55-01 New developments in official statistics – A central banking perspective after Covid-19
In: New developments in central bank statistics around the world
by Alfonso Rosolia & Silke Stapel-Weber & Bruno Tissot - 55-02 New developments in central bank statistics around the world - Introductory remarks
In: New developments in central bank statistics around the world
by Alfonso Rosolia - 55-03 Nowcasting and monitoring Israeli real economic activity
In: New developments in central bank statistics around the world
by Tim Ginker & Tanya Suhoy - 55-04 An experimental index to measuring inflation in the Covid-19 pandemic
In: New developments in central bank statistics around the world
by Omiros Kouvavas & Christian Rollo - 55-05 Revealing investors' sentiment amid Covid-19: the Big Data evidence based on internet searches
In: New developments in central bank statistics around the world
by Jean Christine A Armas & Pamela Kaye A Tuazon - 55-06 Introductory remarks of Relevance of data integration and advanced analytics in central bank decision-making
In: New developments in central bank statistics around the world
by Maayan Kellerman - 55-07 The future of data collection & data management: Agile RegOps for digitalising the regulatory value chain
In: New developments in central bank statistics around the world
by Daniel Muench & Maciej Piechocki & Eric Stiegeler & Johannes Turner & Martina Drvar - 55-08 Real time data platform as a monitoring tool for Central Bank of Turkey
In: New developments in central bank statistics around the world
by Merve Artman - 55-09 A data-driven, risk-based approach to strengthen the fight against money laundering
In: New developments in central bank statistics around the world
by Thais Lærkholm Jensen & Alessandro Tang-Andersen Martinello & Bjarke Mørch Mønsted - 55-10 Implications of the Digital Economy for Official Statistics - Introductory remarks / The impact of digitalisation on inflation measurement
In: New developments in central bank statistics around the world
by Jens Mehrhoff - 55-11 Effective measurement of the economy in the emerging digital age
In: New developments in central bank statistics around the world
by Antonio Colangelo & Francis Gross & Florian Schuster - 55-12 New hedonic quality adjustment method using sparse estimation
In: New developments in central bank statistics around the world
by Sahoko Furuta & Yoshiyuki Kurachi - 55-13 Digital advertising activities in Japan's services producer price index
In: New developments in central bank statistics around the world
by Moegi Inoue - 55-14 Central Banks as producers of official statistics - Introductory remarks
In: New developments in central bank statistics around the world
by Gülbin Sahinbeyoglu - 55-15 Remittances and their impact of poverty: the case of Albania
In: New developments in central bank statistics around the world
by Argita Frasheri & Elona Dushku - 55-16 The more the merrier: enhancing traditional cross-border portfolio investment statistics using security-by-security information
In: New developments in central bank statistics around the world
by Thorsten Radke & Antonio Rodríguez Caloca & Martin Schmitz - 55-17 Unbundling package tours: a Machine Learning application with the LASSO
In: New developments in central bank statistics around the world
by Andrea Carboni & Claudio Doria & Alessandro Moro - 55-18 Addressing globalisation challenges - Introductory remarks / Statistical challenges posed by globalisation – some remarks from Basel
In: New developments in central bank statistics around the world
by Bruno Tissot