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Content
2022
- 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 - 55-19 A roadmap to the concept of "nationality" in the external sector statistics revision
In: New developments in central bank statistics around the world
by Thiago Said Vieira & Fernando Augusto Ferreira Lemos - 55-20 An assessment of euro area households' missing foreign assets
In: New developments in central bank statistics around the world
by Martin Schmitz - 55-21 A typology of captive financial institutions and money lenders (sector S127) in Luxembourg
In: New developments in central bank statistics around the world
by Gabriele Di Filippo & Frédéric Pierret - 55-22 Cooperation issues between NSOs and Central Banks - Introductory remarks
In: New developments in central bank statistics around the world
by Luís Morais Sarmento - 55-23 Recent developments in the use of disclosed detailed financial information in the estimation of Japan's flow of funds accounts
In: New developments in central bank statistics around the world
by Yukiho Ishigami & Ayaka Sekita & Hiroyuki Fujiwara - 55-24 Uses of mirror data: estimation of foreign assets and liabilities of households
In: New developments in central bank statistics around the world
by Swapan-Kumar Pradhan & João Falcao Silva & Stefan Wiesinger - 55-25 Enhancing the global architecture supporting economic and financial statistics: a post Covid-19 perspective
In: New developments in central bank statistics around the world
by Barend de Beer & Bruno Tissot
2020
- 51-01 Using financial accounts - a central banking perspective
In: Using financial accounts
by Burcu Tunç & Burcu Çakmak & Cansu Gökçe Zeybek & Bruno Tissot - 51-02 Opening remarks
In: Using financial accounts
by Gülbin Şahinbeyoğlu - 51-03 Overview of the second phase of the G20 Data Gaps Initiative
In: Using financial accounts
by Shiina, Yasushi - 51-04 G20 DGI recommendations relevant to the use of financial accounts
In: Using financial accounts
by Peter van de Ven - 51-05 Financial Accounts-Turkey: a journey in time
In: Using financial accounts
by Adnan Eken & Burcu Çakmak - 51-06 Use of financial accounts at the Central Bank of the Republic of Turkey
In: Using financial accounts
by Cansu Gökçe Zeybek - 51-07 Use of financial accounts in the context of the ECB needs for monetary policy and financial stability analysis
In: Using financial accounts
by Celestino Girón - 51-08 The use of financial accounts for financial stability analysis
In: Using financial accounts
by Márcio Mateus - 51-09 Non-bank financial institutions in Morocco: development and implications for financial stability
In: Using financial accounts
by Mohamed El Khaoua - 51-10 Monitoring universe of non-bank financial intermediation (MUNFI): The experience of Bank of Portugal
In: Using financial accounts
by Pedro Miguel Alves - 51-11 Financial accounts and balance sheets as a co-ordinating framework for monitoring financial developments
In: Using financial accounts
by Peter van de Ven - 51-12 Household wealth in the main advanced countries
In: Using financial accounts
by Diego Caprara & Riccardo De Bonis & Luigi Infante - 51-13 Firms' financial surpluses in advanced economies: the role of net foreign direct investments
In: Using financial accounts
by Luigi Infante & Tatiana Cesaroni & Riccardo De Bonis - 51-14 Use of financial accounts and sectoral balance sheets for enhancing macroeconomic analysis in the Russian Federation
In: Using financial accounts
by Alieva Piruza - 51-15 From financial accounts towards integrated accounts: the case of Turkey
In: Using financial accounts
by Aycan Ozek - 51-16 Policy uses of financial accounts: The U.S. Fed's perspective
In: Using financial accounts
by Susan Hume McIntosh & Elizabeth Holmquist - 51-17 Globalisation and balance of payments
In: Using financial accounts
by Celestino Girón - 51-18 Assessing global liquidity: beyond borders
In: Using financial accounts
by Bryan Hardy - 52-01 Central banks and external statistics: evolution or revolution?
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Paula Menezes & Fausto Pastoris & Carmen Picon-Aguilar & Martin Schmitz & Nuno Silva & Bruno Tissot - 52-02 Introductory speech
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Carlos da Silva Costa - 52-03 The analytical contribution of external statistics: addressing the challenges
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Philip R. Lane - 52-04 Need for new satellite accounts in international accounts statistics
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Mher Barseghyan - 52-05 Revisiting the income balance. What makes EU tax havens different?
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Duncan van Limbergen - 52-06 The system of the presentations of the external sector statistics, strategy and the way of future development
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Natalia Kupriianova & Nataliya Osiptsova - 52-07 Double-entry bookkeeping and the balance of payments: the need for a substantial, conceptual reform
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Edoardo Beretta & Alvaro Cencini - 52-08 The weight of a Libra: are stablecoins a new challenge for external statistics compilers?
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Alessandro Croce & Marco Langiulli & Giuseppina Marocchi - 52-09 Early Warning System (EWS) informative flow weaknesses and opportunities – the Italian experience
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Chiara Orsini & Simone Ambroselli - 52-10 Foreign exchange derivatives and currency mismatch in Irish investment funds
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Benedetta Bianchi & Giovanna Bua - 52-11 Issues in the compilation and analysis of remittances in BPM6
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Blessing Adada Gaiya - 52-12 International integration and statistical challenges: the intersection between policy and measurement needs
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Paul Austin & Gabriel Quirós-Romero & Jennifer Ribarsky - 52-13 Globalisation and communication – addressing user needs and making our external economy data more comprehensible
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Caroline Bo & Casper Winther - 52-14 Macroprudential liquidity stress tests using BIS locational banking statistics
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Nikolaos Georgiopoulos & Carnell Lambert - 52-15 What value added in the trade balances of euro area financial centres?
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Virginia Di Nino & Anna Ekstam - 52-16 Developing an extended and more agile external accounts program
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Jennifer Withington - 52-17 Empowering external statistics – how to deal with blurred data sources?
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Ana Mitreska & Sultanija Bojcheva-Terzijan & Dejan Stankov & Boban Neshkovikj - 52-18 The advantages of data sharing: the use of mirror data and administrative data to improve the estimation of household assets/liabilities
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Daniel Sánchez - 52-19 Measuring digital trade in bop – a supplementary estimate of private households’ digital purchases using internet data
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Annette Meinusch & Benny Hessel - 52-20 Changes in the structure of multinational groups – a challenge for external statistics compilers
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Nadia Accoto & Giuseppina Marocchi & Silvia Sabatini - 52-21 Understanding the presence of MNEs in Ireland as an end user
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Jenny Osborne-Kinch & Caroline Mehigan & Maria Woods - 52-22 Bilateral capital flows: gravity, push, and pull
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Rogelio Mercado Jr - 52-23 Special purpose entities: a visit outside of the common set of residency and economic ownership
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Péter Bánhegyi - 52-24 On the re-evaluation of the air transport activity in a globalised environment
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Marios Papaspyrou - 52-25 Globalisation and the reach of multinationals: implications for portfolio exposures, capital flows, and home bias
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Carol Bertaut & Beau Bressler & Stephanie Curcuru - 52-26 Luxembourg, the chain of direct investment ownership and the residence principle
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Paul Feuvrier - 52-27 Foreign direct investment – using network analysis to understand the position of Portugal in a global FDI network
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Filipa Lima & Flávio Pinheiro & João Falcão Silva & Pedro Matos - 52-28 Differences in measuring FDI: do they matter for our economic conclusions?
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Konstantin M. Wacker - 52-29 Asymmetries along the chain of round-tripping investment
In: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?
by Krzysztof Makowski
2019
- 49-01 Are the post-crisis statistical initiatives complete? – An overview
In: Are post-crisis statistical initiatives completed?
by Evelyn Truong & Bruno Tissot - 49-02 Opening remarks: Are post-crisis statistical initiatives completed? Taking stock
In: Are post-crisis statistical initiatives completed?
by Agustin Carstens - 49-03 Are post-crisis statistical initiatives completed?
In: Are post-crisis statistical initiatives completed?
by Claudia Buch - 49-04 Globalisation and digitalisation
In: Are post-crisis statistical initiatives completed?
by Peter van de Ven - 49-05 Macroprudential frameworks: experience, prospects and a way forward
In: Are post-crisis statistical initiatives completed?
by Claudio Borio - 49-06 Globalization and the geography of capital flows
In: Are post-crisis statistical initiatives completed?
by Carol Bertaut & Beau Bressler & Stephanie E Curcuru - 49-07 Uses of mirror data: examples from the BIS international banking statistics and other external statistics
In: Are post-crisis statistical initiatives completed?
by João Falcão Silva & Swapan-Kumar Pradhan - 49-08 How to identify “hidden securities assets” in the Balance of Payments: methods of Bank of France
In: Are post-crisis statistical initiatives completed?
by Emmanuel Gervais & Pierre Bui Quang - 49-09 Exchange rate effects in the international investment position – methods, tools and applications for Germany
In: Are post-crisis statistical initiatives completed?
by Stephanus Arz & Stefan Hopp & Ulf von Kalckreuth - 49-10 Going further than ITRS to draw up the French BOP: three tailor-made surveys
In: Are post-crisis statistical initiatives completed?
by Cécile Golfier - 49-11 The IMF balance sheet approach: towards from-whom-to-whom information on cross-border portfolio securities
In: Are post-crisis statistical initiatives completed?
by Artak Harutyunyan & Carlos Sánchez Muñoz - 49-12 Keeping track of MNEs through business group databases: The experience of Bank of Portugal
In: Are post-crisis statistical initiatives completed?
by Ana Bárbara Pinto & José Alexandre Neves & Tiago Pinho Pereira - 49-13 Cross-country bank-firm lending relationships: How can the Legal Entity Identifier help?
In: Are post-crisis statistical initiatives completed?
by José María Serena Garralda - 49-14 Building a multilayer macro-network for the Netherlands: A new way of looking at financial accounts and international investment position data
In: Are post-crisis statistical initiatives completed?
by Melle Bijlsma & Malka de Castro Campos & Raymond Chaudron & David-Jan Jansen - 49-15 Who holds banks’ debt securities? Statistical methods for allocation by holders
In: Are post-crisis statistical initiatives completed?
by Meng He & Zuzana Filkova - 49-16 Challenges for macro data on non-bank financial intermediaries
In: Are post-crisis statistical initiatives completed?
by Anna Maria Agresti & Celestino Girón - 49-17 Other financial corporations survey in Japan – compilation measures and recent features
In: Are post-crisis statistical initiatives completed?
by Daiki Date & Keita Takemura & Haruko Kato - 49-18 Real estate fund investment in post-crisis Ireland
In: Are post-crisis statistical initiatives completed?
by Barra McCarthy - 49-19 Looking through cross-border positions in investment funds: evidence from Italy
In: Are post-crisis statistical initiatives completed?
by Valerio Della Corte & Stefano Federico & Alberto Felettigh - 49-20 An insight into the derivatives trading of firms in the euro area
In: Are post-crisis statistical initiatives completed?
by Nicola Benatti & Francesco Napolitano - 49-21 The risk-taking channel of monetary policy in Macedonia: evidence from credit registry data
In: Are post-crisis statistical initiatives completed?
by Mite Miteski & Ana Mitreska & Mihajlo Vaskov - 49-22 The impact of macroprudential policies and their interaction with monetary policy: an empirical analysis using credit registry data
In: Are post-crisis statistical initiatives completed?
by Leonardo Gambacorta & Andrés Murcia - 49-23 Credit statistics as a tool for assessing the effectiveness of policies aimed at reducing credit cost
In: Are post-crisis statistical initiatives completed?
by Marcia Fiorindo & Monica Une & Juliano Cavalheiro & Fernando Alberto Rocha - 49-24 Estimating a country’s currency circulation within a monetary union
In: Are post-crisis statistical initiatives completed?
by André Cardoso Dias - 49-25 International financial flows and the Eurosystem’s asset purchase programme: evidence from b.o.p and security by security data
In: Are post-crisis statistical initiatives completed?
by Katharina Bergant & Martin Schmitz - 49-26 Developing distributional household balance sheets
In: Are post-crisis statistical initiatives completed?
by llja Kristian Kavonius & Juha Honkkila - 49-27 Bank of Korea consumer credit panel: a new statistical initiative for financial stability
In: Are post-crisis statistical initiatives completed?
by Mira Kim - 49-28 Disentangling the Supply and Demand Factors of Household Credit in Malaysia: Evidence from the Credit Register
In: Are post-crisis statistical initiatives completed?
by Jiaming Soh - 49-29 Profitability, equity capitalization and net worth at risk: update of the former ECCBSO Financial Statement Working Group paper with Spanish, Italian and Turkish data
In: Are post-crisis statistical initiatives completed?
by Merve Artman - 49-30 Sharing of data reported by complex multinational enterprises: a cooperative approach between Deutsche Bundesbank and Bank of France
In: Are post-crisis statistical initiatives completed?
by Tatiana Mosquera Yon & Jens Walter - 49-31 INEXDA – The granular data network
In: Are post-crisis statistical initiatives completed?
by Stefan Bender & Members of the INEXDA network - 49-32 An introduction to INEXDA’s metadata schema
In: Are post-crisis statistical initiatives completed?
by Stefan Bender & Brigitte Hausstein & Christian Hirsch - 49-33 Privacy preserving set intersection
In: Are post-crisis statistical initiatives completed?
by Giuseppe Bruno & Diana Nicoletti & Monica Scannapieco & Diego Zardetto - 49-34 Data sharing under confidentiality
In: Are post-crisis statistical initiatives completed?
by Erdem Başer & Timur Hülagü & Ersan Akyıldız & Adnan Bilgen & Murat Cenk & İrem Keskinkurt-Paksoy & A. Sevtap Selçuk-Kestel - 49-35 Sharing and using financial micro-data
In: Are post-crisis statistical initiatives completed?
by Alejandro Gaytán González & Manuel Sánchez Valadez & Mario Reyna Cerecero - 49-36 ECB data for analysis and decision-making: data governance and technology
In: Are post-crisis statistical initiatives completed?
by Emily Witt & Jannick Blaschke - 49-37 New electronic data delivery system of Central Bank of the Republic of Turkey
In: Are post-crisis statistical initiatives completed?
by Adnan Eken & Aycan Ozek & Burcu Cakmak & Seyma Serdengecti - 49-38 Enriching disclosures: The Bank Financial Strength Dashboard
In: Are post-crisis statistical initiatives completed?
by Tobias Irrcher - 49-39 The establishment of a central credit register at the Bank of Israel and its statistical disclosure control processes
In: Are post-crisis statistical initiatives completed?
by Ariel Mantzura - 49-40 Making available data more useable: compilation and publication of break-adjusted (historical) time series
In: Are post-crisis statistical initiatives completed?
by Ruben van der Helm & Jan Bartman - 49-41 Reporting practices of Islamic financial institutions in the BIS locational banking statistics
In: Are post-crisis statistical initiatives completed?
by Siew Koon Goh - 49-42 Demystifying big data in official statistics – it’s not rocket science!
In: Are post-crisis statistical initiatives completed?
by Jens Mehrhoff - 49-43 Liquidity in the JGB cash market: an evaluation from detailed transaction data
In: Are post-crisis statistical initiatives completed?
by Toshiyuki Sakiyama & Shun Kobayashi - 49-44 Can media and text analytics provide insights into labour market conditions in China?
In: Are post-crisis statistical initiatives completed?
by Jeannine Bailliu & Xinfen Han & Mark Kruger & Yu-Hsien Liu & Sri Thanabalasingam - 49-45 Developments in the residential mortgage market in Germany – what can Google data tell us?
In: Are post-crisis statistical initiatives completed?
by Simon Oehler - 49-46 Creating comprehensive data worlds using standardisation
In: Are post-crisis statistical initiatives completed?
by Stephan Müller - 49-47 Imputation for missing data through artificial intelligence
In: Are post-crisis statistical initiatives completed?
by Byeungchun Kwon - 49-48 A machine learning approach to outlier detection and imputation of missing data
In: Are post-crisis statistical initiatives completed?
by Nicola Benatti - 49-49 A robust machine learning approach for credit risk analysis of large loan level datasets using deep learning and extreme gradient boosting
In: Are post-crisis statistical initiatives completed?
by Anastasios Petropoulos & Vasilis Siakoulis & Evaggelos Stavroulakis & Aristotelis Klamargias - 49-50 Measuring stakeholders’ expectation on central bank’s policy rate
In: Are post-crisis statistical initiatives completed?
by Alvin Andhika Zulen & Okiriza Wibisono - 49-51 Two is company, three’s a crowd: automated pairing and matching of two-sided reporting in EMIR derivatives’ data
In: Are post-crisis statistical initiatives completed?
by Sébastien Pérez-Duarte & Grzegorz Skrzypczynski - 49-52 Evaluation of the transmission of the monetary policy interest rate to the market interest rates considering agents expectations
In: Are post-crisis statistical initiatives completed?
by Deicy Cristiano-Botia & Eliana Gonzalez-Molano & Carlos Huertas-Campos - 50-01 The use of big data analytics and artificial intelligence in central banking – An overview
In: The use of big data analytics and artificial intelligence in central banking
by Okiriza Wibisono & Hidayah Dhini Ari & Anggraini Widjanarti & Alvin Andhika Zulen & Bruno Tissot - 50-02 Building pathways for policy making with big data
In: The use of big data analytics and artificial intelligence in central banking
by Erwin Rijanto - 50-03 Building pathways for policy making with big data
In: The use of big data analytics and artificial intelligence in central banking
by Claudia Buch - 50-04 Big data for central bank policies
In: The use of big data analytics and artificial intelligence in central banking
by Yati Kurniati - 50-05 Understanding big data: fundamental concepts and framework
In: The use of big data analytics and artificial intelligence in central banking
by Paul Robinson - 50-06 Big data for central banks
In: The use of big data analytics and artificial intelligence in central banking
by Bruno Tissot - 50-07 Machine Learning: Classification and Clustering
In: The use of big data analytics and artificial intelligence in central banking
by Sanjiv R Das - 50-08 Annex – presentations
In: The use of big data analytics and artificial intelligence in central banking
by Sanjiv R Das - 50-09 Introduction to text mining
In: The use of big data analytics and artificial intelligence in central banking
by Stephen Hansen - 50-10 Introduction to network science & visualisation
In: The use of big data analytics and artificial intelligence in central banking
by Kimmo Soramäki