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Content
2025
- 63-01 Addressing climate change data needs: the global debate and central banks' contribution
In: Addressing climate change data needs: the central banks' contribution
by David Nefzi & Jolien Noels & Romana Peronaci & Christian Schmieder & Ünal Seven & Ömer K Seyhun & Bruno Tissot & Elena Triebskorn - 63-02 Central banks and climate risk data initiatives
In: Addressing climate change data needs: the central banks' contribution
by Fabienne Fortanier - 63-03 Going green in finance: bridging data gaps for enhanced financial risk and opportunities assessment
In: Addressing climate change data needs: the central banks' contribution
by Artak Harutyunyan & Padma Hurree-Gobin & Mahmut Kutlukaya & Fozan Fareed - 63-04 We aim to curb emissions - but how can we know where we stand?
In: Addressing climate change data needs: the central banks' contribution
by Ulf von Kalckreuth - 63-05 Assessing the climate consistency of finance: taking stock of methodologies and their links to climate mitigation policy objectives
In: Addressing climate change data needs: the central banks' contribution
by Jolien Noels & Raphael Jachnik - 63-06 Climate risk in the polish banking sector - analysis of dirty and green industries
In: Addressing climate change data needs: the central banks' contribution
by Aneta Kosztowniak - 63-07 The impact of temperature and precipitation on wheat production in Türkiye
In: Addressing climate change data needs: the central banks' contribution
by Saide Simin Bayraktar & Aslihan Atabek Demirhan - 63-08 Assessing physical risk impact of climate change: a focus on Chile
In: Addressing climate change data needs: the central banks' contribution
by Pablo García Silva & Felipe Córdova & Federico Natho & Josué Pérez & Mauricio Salas & Francisco Vásquez - 63-09 Asset-level assessment of climate physical risk matters for adaptation finance
In: Addressing climate change data needs: the central banks' contribution
by Stefano Battiston & Giacomo Bressan & Anja Duranovic & Irene Monasterolo - 63-10 Digital twins for bridging climate data gaps: from flood hazards to firms' physical assets to banking risks
In: Addressing climate change data needs: the central banks' contribution
by Etienne de L'Estoile & Lisa Kerdelhué & Thierry Verdier - 63-11 A multi-country study of forward-looking economic losses from floods and tropical cyclones
In: Addressing climate change data needs: the central banks' contribution
by Michele Fornino & Mahmut Kutlukaya & Caterina Lepor & Javier Uruñuela López - 63-12 The puzzle of forward-looking climate transition risk metrics
In: Addressing climate change data needs: the central banks' contribution
by Ignacio Félez de Torres & Clara González & Elena Triebskorn - 63-13 US banks' exposures to climate transition risks
In: Addressing climate change data needs: the central banks' contribution
by Hyeyoon Jung & João Santos & Lee Seltzer - 63-14 A framework for macro-financial analysis of climate risks
In: Addressing climate change data needs: the central banks' contribution
by Christian Schmieder & Abhishek Srivastav & Miroslav Petkov - 63-15 Measures of sustainable finance in the international standards for macroeconomic statistics
In: Addressing climate change data needs: the central banks' contribution
by Sarah Barahona - 63-16 Compiling climate finance statistics from security-by-security data
In: Addressing climate change data needs: the central banks' contribution
by Flavio Fusero & Johannes Kleibl & Dimitra Theleriti - 63-17 Measuring foreign direct investment carbon footprint: an experiment with micro data
In: Addressing climate change data needs: the central banks' contribution
by Véronique Genre & Alice Magniez & David Nefzi & Francois Robin - 63-18 ESG work at the Central Bank of Angola
In: Addressing climate change data needs: the central banks' contribution
by Suzana Monteiro - 63-19 The role of governments in emission cuts: evidence from emerging and advanced economies
In: Addressing climate change data needs: the central banks' contribution
by Canan Özkan & Zehra Çavuşoğlu Adıgüzel - 63-20 Houston, we have a problem: can satellite information bridge the climate-related data gap?
In: Addressing climate change data needs: the central banks' contribution
by Andres Alonso-Robisco & Jose Carbo & Emily Kormanyos & Elena Triebskorn - 63-21 Refining ESG models: embedding natural capital valuation beyond box-ticking compliance towards confronting planetary boundaries
In: Addressing climate change data needs: the central banks' contribution
by Kasırga Yıldırak & Ömer Kayhan Seyhun - 63-22 Combining AI and domain expertise to assess corporate climate transition disclosures
In: Addressing climate change data needs: the central banks' contribution
by Julia Anna Bingler & Markus Leippold & Jingwei Ni & Tobias Schimanski & Chiara Colesanti Senni - 63-23 Introducing the work programme of the BIS Innovation Hub Singapore Centre on green finance and climate risk data
In: Addressing climate change data needs: the central banks' contribution
by Patrick Hoffmann & Maha El Dimachki & Kenneth Gay & Léa Grisey & Zooey Bossert - 63-24 Advancing climate action through enhanced data governance: a case study of Indonesia
In: Addressing climate change data needs: the central banks' contribution
by Solikin M Juhro & Charvin Lim & Heru Rahadyan & Irman Robinson - 63-25 Enhancing climate resilience through geospatial analysis for use cases of JC3 climate data catalogue by Bank Negara Malaysia
In: Addressing climate change data needs: the central banks' contribution
by Muhammad Nadzif Bin Ramlan - 63-26 Financing the decarbonization of hard-to-abate sectors: trends, issues, and ways forward
In: Addressing climate change data needs: the central banks' contribution
by Fatih Yilmaz - 63-27 Central bank's approaches to fill data gaps on green debt securities: case of Indonesia
In: Addressing climate change data needs: the central banks' contribution
by Oktefvia Aruda Lisjana & Herina Prasnawaty & Nur Aisyah Safitri & Dini Sulliati & Anggraini Widjanarti - 63-28 Central banks' contribution to addressing climate change data needs: lessons from recent experience and outlook
In: Addressing climate change data needs: the central banks' contribution
by Fabienne Fortanier - 64-01 Data science in central banking: unlocking the potential of data
In: Data science in central banking: enhancing the access to and sharing of data
by Douglas Kiarelly Godoy de Araujo & Adam Cap & Ilaria Mattei & Rafael Schmidt & Olivier Sirello & Bruno Tissot - 64-02 Data science in central banking: enhancing the access to and sharing of data
In: Data science in central banking: enhancing the access to and sharing of data
by Bruno Tissot - 64-03 Why SDMX matters? A community journey towards SDMX as an AI-enabler and a data mesh enabler
In: Data science in central banking: enhancing the access to and sharing of data
by Eric Anvar - 64-03 Project Aurora: the power of data, technology and collaboration to combat money laundring across institutions and borders
In: Data science in central banking: enhancing the access to and sharing of data
by Beju Shah - 64-05 Data science in the context of international banking statistics
In: Data science in central banking: enhancing the access to and sharing of data
by Jacob Ewertzh - 64-06 Experiences, essentials and perspectives for data science in the hearts of central banks and supervisors: a case study of the Dutch central bank
In: Data science in central banking: enhancing the access to and sharing of data
by Patty Duijm & Iman van Lelyveld - 64-07 Digital transformation of financial regulators and the emergence of supervisory technologies (SupTech): a case study of the UK Financial Conduct Authority
In: Data science in central banking: enhancing the access to and sharing of data
by Pavle Avramović - 64-08 Data Building a database on cryptocurrencies
In: Data science in central banking: enhancing the access to and sharing of data
by Anamaria Illes & Ilaria Mattei - 64-09 European single access point as a blueprint for global financial and green data hubs
In: Data science in central banking: enhancing the access to and sharing of data
by Pawel Martyniuk & Michal Piechocki - 64-10 Data sharing using a global data registry: on a place to discover global structured time series, macro and micro data
In: Data science in central banking: enhancing the access to and sharing of data
by Nelson Matt & Glenn Philip Tice - 64-11 Overcoming data-sharing challenges in central banking: federated learning of diffusion models for synthetic mixed-type tabular data generation
In: Data science in central banking: enhancing the access to and sharing of data
by Timur Sattarov & Marco Schreyer - 64-12 Exploring aggregation strategies for federated learning in national statistics
In: Data science in central banking: enhancing the access to and sharing of data
by Mauro Bruno & Erika Cerasti & Massimo De Cubellis & Francesco Pugliese & Rafik Chemli & Benjamin Santos & Julian Templeton & Matjaz Jug - 64-13 EMIR data for financial stability analysis and research
In: Data science in central banking: enhancing the access to and sharing of data
by Michele Leonardo Bianchi & Bianca Sorvillo & Dario Ruzzi & Federico Apicella & Luigi Abate & Leonardo Del Vecchio - 64-14 Unveiling the interconnectedness of banks in payment system: methodology, utilization, and data governance considerations
In: Data science in central banking: enhancing the access to and sharing of data
by Renardi Ardiya Bimantoro & Irfan Sampe & Mohammad Khoyrul Hidayat - 64-15 Big data platform (FinPulse) initiative
In: Data science in central banking: enhancing the access to and sharing of data
by Tsenddorj Dorjpurev - 64-16 New strategy of data sharing and data access in statistics: the view from Banco de Portugal
In: Data science in central banking: enhancing the access to and sharing of data
by Ana R Gonçalves & Mário Lourenço & Daniel V Sousa & Thomas Verheij - 64-17 Individual data access and sharing protection policy: definition and case study of Bank Indonesia
In: Data science in central banking: enhancing the access to and sharing of data
by Johanes Iman Anugrah & Akhmad Zacky Nugraha & Sapto Widyatmiko - 64-18 Open-sourced central bank macroeconomic models
In: Data science in central banking: enhancing the access to and sharing of data
by Douglas Kiarelly Godoy de Araujo - 64-19 Leveraging open-source software and data standards as the backbone of your open data strategy
In: Data science in central banking: enhancing the access to and sharing of data
by Darran Hodder & Matthew Nelson - 64-20 Collaborating on SDMX APIs and open-source software
In: Data science in central banking: enhancing the access to and sharing of data
by Brian Buffett & Stratos Nikoloutsos & Xavier Sosnovsky - 64-21 Future of time series: preliminary results from a BIS-IFC survey of central banks and statistical agencies
In: Data science in central banking: enhancing the access to and sharing of data
by Ryland Thomas - 64-22 Coding time series with machine learning
In: Data science in central banking: enhancing the access to and sharing of data
by Ayoub Mharzi - 64-23 Siamese neural networks for detecting banknote printing defects
In: Data science in central banking: enhancing the access to and sharing of data
by Katia Boria & Andrea Luciani & Sabina Marchetti & Marco Viticoli - 64-24 Error spotting with gradient boosting: a machine learning-based application for central bank data quality
In: Data science in central banking: enhancing the access to and sharing of data
by Csaba Burger & Mihály Berndt - 64-25 A machine learning approach for the detection of firms infiltrated by organised crime in Italy
In: Data science in central banking: enhancing the access to and sharing of data
by Pasquale Cariello & Marco De Simoni & Stefano Iezzi - 64-26 Research for all: exploring machine learning applications in generating synthetic datasets
In: Data science in central banking: enhancing the access to and sharing of data
by Carmelita Esclanda-Lo & Gabriel Masangkay & Chelsea Anne Ong & Rossvern Reyes - 64-27 Invoices rather than surveys: using ML to build nominal and real indices
In: Data science in central banking: enhancing the access to and sharing of data
by Pablo Acevedo & Dagoberto Quevedo & Marco Rojas & Emiliano Luttini & Matías Pizarro - 64-28 Leveraging large language models to extract data citations
In: Data science in central banking: enhancing the access to and sharing of data
by Sebastian Seltmann & Emily Kormanyos & Hendrik Christian Doll - 64-29 Let's talk about sentiment: natural language processing using machine learning on bank earnings transcripts
In: Data science in central banking: enhancing the access to and sharing of data
by Seung Jung Lee & Sriram Nagaraj & Dylan Saez & Victors Stebunovs & Cindy Vojtech & Karl Wirth - 64-30 Constructing high-frequency and thematic economic sentiment indicators from online news articles: applications in the Philippine context
In: Data science in central banking: enhancing the access to and sharing of data
by Alan Chester Arcin & Carmelita Esclanda-Lo & Chelsea Anne Ong & Rossvern Reyes - 64-31 Do anecdotes matter? Exploring the beige book through textual analysis from 1970 to 2023
In: Data science in central banking: enhancing the access to and sharing of data
by Shengwu Du & Karen Guo & Flora Haberkorn & Abby Kessler & Isabel Kitschelt & Seung Jung Lee & Anderson Monken & Dylan Saez & Kelsey Shipman & Sandeep Thakur - 64-32 Central bank communication on economic activity
In: Data science in central banking: enhancing the access to and sharing of data
by Sercan Eraslan & Eniko Gabor-Toth - 64-33 From the ML model to practice: case study on NLP-based decision-making on the eligibility of security prospectuses
In: Data science in central banking: enhancing the access to and sharing of data
by Janek Blankenburg & Maximilian König & Philipp Rothhaar & Bernd Rusitschka - 64-34 Data Science in Central Banking: Enhancing the access to and sharing of data
In: Data science in central banking: enhancing the access to and sharing of data
by Alessandra Perrazzelli
2024
- 60-00 Communication on central bank statistics: unlocking the next level
In: Communication on central bank statistics
by Luís de Carvalho Campos & Lígia Maria Nunes & Mafalda Sousa Trincão & Bruno Tissot - 60-01 Introductory speech - Communication on central bank statistics: unlocking the next level
In: Communication on central bank statistics
by Ana Paula Serra - 60-02 Closing remarks by the IFC Chair - Communication on central bank statistics: unlocking the next level
In: Communication on central bank statistics
by Pablo Garcia - 60-03 Three targets for making statistics easier to understand
In: Communication on central bank statistics
by Mingfei Qiu - 60-04 Bank of Israel - Statistical Communications Function
In: Communication on central bank statistics
by Hadar Gotsman - 60-05 Developing the statistical communication function at Danmarks Nationalbank
In: Communication on central bank statistics
by Rasmus Kofoed Mandsberg & Lars Risbjerg - 60-06 Together we make it better: How a multidisciplinary team unlocked the statistical communication function at the Banco de Portugal
In: Communication on central bank statistics
by Lígia Maria Nunes - 60-07 An ecosystem for statistical communication
In: Communication on central bank statistics
by Matthias Rumpf - 60-08 One size does not fit all: target matters
In: Communication on central bank statistics
by Shahid Hussain Javaid - 60-09 Helping users think with data: Statistical communication at the Bank of Canada
In: Communication on central bank statistics
by Andrew Geraghty - 60-10 A snapshot on Bank of Albania communication approach and financial literacy
In: Communication on central bank statistics
by Argita Frashëri & Elona Dushku - 60-11 How to tailor information resources to a target audience - Lessons learned from a Research Data Centre
In: Communication on central bank statistics
by Jannick Blaschke - 60-12 StatFlix: a Banco de Portugal original series
In: Communication on central bank statistics
by Mafalda Sousa Trincão - 60-13 New channels, new approaches, new data formats
In: Communication on central bank statistics
by Fernando Lemos - 60-14 More insight into Dutch mortgage debt data
In: Communication on central bank statistics
by Eva Hagendoorn & Tim Hersevoort - 60-15 Construction of bivariate fan chart from joint distribution
In: Communication on central bank statistics
by Purnima Shaw - 60-16 Unlocking the social media whereabouts in the age of central banks
In: Communication on central bank statistics
by Luís de Carvalho Campos - 60-17 Innovating statistical communication in Banca d'Italia
In: Communication on central bank statistics
by Laura Bartiloro - 60-18 The BIS Data Portal project - Delivering the next generation platform for BIS statistics
In: Communication on central bank statistics
by Edward Lambe & Taejin Park - 60-19 ECB Data Portal - Making statistics accessible in a fast pace digital world
In: Communication on central bank statistics
by Klára Bakk Simon & Juan Alberto Sánchez Hernández - 60-20 Interactive economic indicators
In: Communication on central bank statistics
by Bjarni Þór Gíslason - 60-21 Flexible dissemination software for the 2021 England and Wales Census
In: Communication on central bank statistics
by Mike Thompson - 61-00 Granular data: new horizons and challenges for central banks
In: Granular data: new horizons and challenges
by Joshua Brault & Maryam Haghighi & Bruno Tissot - 61-01 Introductory remarks by IFC
In: Granular data: new horizons and challenges
by Pablo García Silva - 61-02 The secret ingredient of being relevant? Microdata. Making the move from ready-made to fresh statistics
In: Granular data: new horizons and challenges
by Luís Teles Dias & Lígia Maria Nunes - 61-03 Granular statistical data - Are we charmed with a blessing or a curse?
In: Granular data: new horizons and challenges
by Jasminka Dodeva Kovaceva - 61-04 On the need for granular, forward-looking physical risk data to support policy analysis
In: Granular data: new horizons and challenges
by Jens Mehrhoff - 61-05 Payment habits during Covid-19: Evidence from high-frequency transaction data
In: Granular data: new horizons and challenges
by Tatjana Dahlhaus & Angelika Welte - 61-06 Classifying Job Postings into NAICS Codes
In: Granular data: new horizons and challenges
by Tatjana Dahlhaus & Reinhard Ellwanger & Gabriela Galassi & Pierre-Yves Yanni - 61-07 Narrative monetary policy uncertainty
In: Granular data: new horizons and challenges
by Charles Martineau & Zissis Poulos & Yuntao Wu & Cameron Thompson & Jun Yuan & John Hull - 61-08 Determinants of the price of bitcoin: An analysis with machine learning and interpretability techniques
In: Granular data: new horizons and challenges
by José Manuel Carbó Martinez & Sergio Gorjón Rivas - 61-09 Property classification with administrative data: The case of the Chilean household price index
In: Granular data: new horizons and challenges
by Juan José Balsa & Javiera Vasquez - 61-10 Estimating effective inflation using scanner data
In: Granular data: new horizons and challenges
by Younghwan Lee - 61-11 Financing imbalances and hetrogeneous effects of monetary policy
In: Granular data: new horizons and challenges
by Jorge Antonio Pozo Sanchez & Youel Rojas Zea - 61-12 The Eurosystem's granular data on securities, loans and entities - How we use such information today and what we may develop differently next time
In: Granular data: new horizons and challenges
by Frank Mayerlen - 61-13 The use of payment transaction data for economic forecasts
In: Granular data: new horizons and challenges
by Guerino Ardizzi & Giuseppe Bruno & Juri Marcucci & Roberto Iannaccone & Filippo Moauro & Alessandra Righi & Davide Zurlo - 61-14 Retail credit estimates in Federal Reserve Board's G.19 "Consumer Credit" Statistical Release
In: Granular data: new horizons and challenges
by Michael Chernousov - 61-15 Estimating the effects of economic indicators on the language used in the business outlook survey
In: Granular data: new horizons and challenges
by Dave Campbell & Charita Koya & Naveen Rai - 61-16 Unit labour cost, wages and labour productivity in Canada: A bottom-up analysis
In: Granular data: new horizons and challenges
by Joshua Brault & Maryam Haghighi & Masoud Nasari & Hashmat Khan - 61-17 Sectoral uncertainty
In: Granular data: new horizons and challenges
by Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda - 61-18 Territorial activity in Chile, by macrozone and economic activity
In: Granular data: new horizons and challenges
by Pablo García Silva - 61-19 Classification of participants in the foreign exchange market
In: Granular data: new horizons and challenges
by Amir Khatib - 61-20 Access to CSI for research purposes
In: Granular data: new horizons and challenges
by Matthias Rumpf - 61-21 Connecting the dots of the international debate on the standardization and granularity of regulatory data
In: Granular data: new horizons and challenges
by Massimo Casa - 61-22 International trade in creative economy: an analysis with granular data
In: Granular data: new horizons and challenges
by Andrea Carboni & Marco Di Bella & Flavia Ciccioli - 61-23 Statistical Disclosure Control (SDC) for results derived from combined confidential microdata
In: Granular data: new horizons and challenges
by Jannick Blaschke & Christian Hirsch & Robin Kollmann - 61-24 Missing values imputation for Central Balance Sheets Data Office (CSBO) accounting data
In: Granular data: new horizons and challenges
by Iker González Crespo & Pablo Jiménez Segovia - 61-25 Utility and confidentiality assessment of synthetic company data
In: Granular data: new horizons and challenges
by Eugenia Koblents Lapteva - 61-26 Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems
In: Granular data: new horizons and challenges
by Ajit Desai & Jacob Sharples & Anneke Kosse - 61-27 Data and analytics risk management framework for central banking
In: Granular data: new horizons and challenges
by Maryam Haghighi & Vivianne Taillefer - 62-00 Introductory remarks
In: External statistics in a fragmented and uncertain world
by Pablo Hernández de Cos - 62-01 External statistics in a fragmented and uncertain world: addressing novel analytical challenges
In: External statistics in a fragmented and uncertain world
by Esther Martín & Jorge Diz Dias & Fausto Pastoris & Mónica Covadonga Gómez Ramos & Martin Schmitz & Olivier Sirello & Bruno Tissot - 62-02 Euro area cross-border financial flows: analytical insights and measurement challenges
In: External statistics in a fragmented and uncertain world
by Philip R Lane - 62-03 Globalization and the reach of multinationals implications for portfolio exposures, capital flows and home bias
In: External statistics in a fragmented and uncertain world
by Carol Bertaut & Beau Bressler & Stephanie Curcuru - 62-04 The geography of capital allocation in the euro area
In: External statistics in a fragmented and uncertain world
by Roland Beck & Antonio Coppola & Angus Lewis & Matteo Maggiori & Martin Schmitz & Jesse Schreger - 62-05 Consolidated foreign wealth of nations: nationality-based measures of international exposure
In: External statistics in a fragmented and uncertain world
by André Sanchez Pacheco - 62-06 International investment income: patterns, drivers, and heterogeneous sensitivities
In: External statistics in a fragmented and uncertain world
by Giovanni Donato & Cedric Tille - 62-07 Unravelling household financial assets and demographic characteristics: a novel data perspective
In: External statistics in a fragmented and uncertain world
by Simone Arrigoni & Agustín Bénétrix & Tara McIndoe-Calder & Davide Romelli - 62-08 Are goods and services trade complementary? Evidence from a new micro dataset
In: External statistics in a fragmented and uncertain world
by Flavia Ciccioli & Stefano Federico & Enrico Tosti - 62-09 International sourcing during Covid-19: how did Chilean firms fare?
In: External statistics in a fragmented and uncertain world
by Jennifer Peña & Elvira Prades - 62-10 Intangible assets of multinational enterprises in Ireland and their impact on euro area activity
In: External statistics in a fragmented and uncertain world
by Malin Andersson & Nina Blatnik & Stephen Byrne & Lorenz Emter & Valerie Jarvis & Belén Gonzalez Pardo & Martin Schmitz & Nico Zorell & Christoph Zwick - 62-11 Which countries own/control your supply chain?
In: External statistics in a fragmented and uncertain world
by Dennis Dahlmans & Khee Fung Wong & Oscar Lemmers & Tom Notten & Leen Prenen - 62-12 Where is the real impact of foreign direct investment? The case of the Portuguese outward foreign direct investment
In: External statistics in a fragmented and uncertain world
by Carlos Figueira - 62-13 Experimental ultimate host economy statistics for US direct investment abroad
In: External statistics in a fragmented and uncertain world
by Kirsten Brew & Jessica Hanson & Ricardo Limes & Ryan Smith & Larkin Terrie - 62-14 Introduction: BPM7 - external sector statistics address new challenges
In: External statistics in a fragmented and uncertain world
by Jannick Damgaard & Venkat Josyula & Carlos Sánchez Muñoz - 62-15 Changes in the capital account of the balance of payments regarding transactions in CO2 emission allowances
In: External statistics in a fragmented and uncertain world
by Grzegorz Dobroczek & Jacek Kocerka - 62-16 Compiling external statistics in Egypt: challenges and way forward
In: External statistics in a fragmented and uncertain world
by Rehab Abdelfattah Ibrahim & Shireen Fahmy & Sara Mahmoud - 62-17 Personal transfers in the balance of payments: estimation under changing migration patterns
In: External statistics in a fragmented and uncertain world
by Maria Pia Cobián & Jörg Feuerhake - 62-18 Missing assets: exploring the source of data gaps in global cross-border holdings of portfolio equity?
In: External statistics in a fragmented and uncertain world
by Gian Maria Milesi-Ferretti - 62-19 An ocean of data: the potential of data on vessel traffic
In: External statistics in a fragmented and uncertain world
by Graham Pilgrim - 62-20 PortWatch: monitoring trade disruptions from space
In: External statistics in a fragmented and uncertain world
by Serkan Arslanalp & Parisa Kamali & Robin Koepke & Alessandra Sozzi & Jasper Verschuur - 62-21 FDI true value: experimenting with market capitalisation ratios to value unlisted FDI equity
In: External statistics in a fragmented and uncertain world
by Véronique Genre & Christophe Guette-Khiter & François Robin - 62-22 An early estimation of foreign direct investment income in the balance of payments
In: External statistics in a fragmented and uncertain world
by Esther López-Espinosa & Luis Molina & Helge Schäfer - 62-23 Revamping travel estimates in the balance of payments: mid- and post-Covid-19 models
In: External statistics in a fragmented and uncertain world
by Krit Damrikichakusala - 62-24 Capturing e-commerce transactions from the travel group of BPM6: an Indian experience
In: External statistics in a fragmented and uncertain world
by Arjya Misra & Savita Pareek & Seema Saggar - 62-25 Challenges and opportunities presented by generative AI in official statistics
In: External statistics in a fragmented and uncertain world
by Giannakouris Konstantinos & Cimpermann Miha & Jean-Marc Museux - 62-26 Exploring the evolving determinants of foreign direct investment and the investing country preferences in developing Asian economies using machine learning
In: External statistics in a fragmented and uncertain world
by Carmelita G Esclanda-Lo & Gabriel A Masangkay & Chelsea Anne S Ong & Rossvern S Reyes - 62-27 Web scraping as a detection tool in identifying Indonesian cross-border digital trade actors
In: External statistics in a fragmented and uncertain world
by Aditya Wisnugraha Sugiyarto & Marlina Novita Uligoma & Hasudungan Paulanka Siburian & Dwi Cahyo Ardianto & Novi Ajeng Salehah & Detasya Avri Magfira - 62-28 Malaysia's experience in using mirror data to complement external sector statistics
In: External statistics in a fragmented and uncertain world
by Choo Ching Yii & Zima Mazfahani Mazlan & Nurina Nasaruddin - 62-29 Spanish experience in the use of data generated by the private sector with an application to estimation of tourism data
In: External statistics in a fragmented and uncertain world
by Javier Alvarez & Maria Velasco - 62-30 EMIR data to compile external statistics
In: External statistics in a fragmented and uncertain world
by Kujtim Avdiu & Eva Ubl & Stephan Unger - 62-31 Where are the hidden securities in external statistics?
In: External statistics in a fragmented and uncertain world
by Jorge Diz Dias & João Falcão Silva & Fausto Pastoris & Mykola Ryzhenkov & Martin Schmitz
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