Printed from https://ideas.repec.org/s/bis/bisifc2.html
Content
2023
- 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 - 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