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2026
- 66-01 The evolving role of central bank statistics
In: Statistics and beyond: new data for decision making in central banks
by Archana Dilip & Zukiswa Mdingi & Olivier Sirello & Bruno Tissot - 66-02 Is there a future for traditional stochastic models in business and industry in the AI and ML era?
In: Statistics and beyond: new data for decision making in central banks
by Fabrizio Ruggeri - 66-03 Together we go further: designing a common statistical literacy strategy for the ESCB
In: Statistics and beyond: new data for decision making in central banks
by Laura Belli & Maria Carolina Campos & Ligia Maria Nunes & Matthias Rumpf - 66-04 Empowering public-private data partnership for data on digital economy: case of Bank Indonesia
In: Statistics and beyond: new data for decision making in central banks
by Anggraini Widjanarti & Alvin Andhika Zulen & Okiriza Wibisono - 66-05 Main outcomes of the INEXDA working group on Statistical Disclosure Control (SDC)
In: Statistics and beyond: new data for decision making in central banks
by Ricardo Arcos & Ana Esteban & Eugenia Koblents & Emma Perez - 66-06 BCChAPI: A python interface to the Central Bank of Chile statistical database API
In: Statistics and beyond: new data for decision making in central banks
by Ricardo Villarreal Zan - 66-07 Implementing Statistical Data Metadata Exchange (SDMX) in Centralised Information Management System (CIMS) - challenges, solution design and benefits
In: Statistics and beyond: new data for decision making in central banks
by Debasis Nandi & Prakash Madda - 66-08 A scalable, explainable machine learning approach for granular-level credit dataset's quality assurance
In: Statistics and beyond: new data for decision making in central banks
by Anak Yodpinyanee & Peranut Nimitsurachat & Nontawit Cheewaruangroj & Supachai Saengthong - 66-09 Machine learning for anomaly detection in money services business outlets using data by geolocation
In: Statistics and beyond: new data for decision making in central banks
by Vincent Lee Wai Seng & Shariff Abu Bakar Sarip Abidinsa - 66-10 Variational autoencoders for multivariate time series outlier detection
In: Statistics and beyond: new data for decision making in central banks
by Tamara Fajt Mayer & Giovanni Raimondo Quaratino & Juan Francisco Javier Cordero - 66-11 How to use Trade Repository data on OTC derivatives for analysis - a practical framework
In: Statistics and beyond: new data for decision making in central banks
by Silvia Pezzini & Henry Chan & Wenjing Shi - 66-12 Improving the quality of balance of payments statistics via granular bilateral analysis - trilaterial comparison: Austria, Italy and Spain
In: Statistics and beyond: new data for decision making in central banks
by Nadia Accoto & Erza Aruqaj & Maria Garcia del Riego & Jorge Diz Dias & Milena Matteo & Fausto Pastoris - 66-13 Special Purpose Entities (SPEs) in external statistics: the journey to data publication in the euro area and first analytical insights
In: Statistics and beyond: new data for decision making in central banks
by Jorge Diz Dias & Fausto Pastoris & Carmen Picon-Aguilar - 66-14 Direct investment positions held by captive financial institutions in Luxembourg affiliated to investment funds focusing on private equity or real estate
In: Statistics and beyond: new data for decision making in central banks
by Gabriele Di Filippo - 66-15 50 years of quality and transparency of the World Bank Debtor Reporting System...counting
In: Statistics and beyond: new data for decision making in central banks
by Joao Falcao Silva & Rubena Sukaj - 66-16 Building financial accounts by using "From-whom-to-whom (FWTW)" approach and its analytical value - NBRNM case
In: Statistics and beyond: new data for decision making in central banks
by Snezhana Janeska Popovska & Nada Ciriviri & Biljana Petrushevska - 66-17 Generative AI and official statistics: the project of the UNECE high-level group for the modernisation of official statistics
In: Statistics and beyond: new data for decision making in central banks
by InKyung Choi & Amilina Kipkeeva & Olivier Sirello & Vytas Vaiciulis - 66-18 Leveraging custom large language models for economic insights
In: Statistics and beyond: new data for decision making in central banks
by Nik Ahmad Akram & Eilyn Chong - 66-19 Bi-dimensional sentiment indicators based on new generative AI capabilities - a pilot study in the housing market in Israel
In: Statistics and beyond: new data for decision making in central banks
by Alon Bartal & Michael Gurkov & Ariel Mantzura & Yulia Nudelman & Darin Vaisman & Inbal Yahav Shenberger - 66-20 Enhancing metadata with generative AI: the case of BIS statistics
In: Statistics and beyond: new data for decision making in central banks
by Bilyana Bogdanova & Magdalena Erdem & Bianca Ligani & Olivier Sirello - 66-21 The League of Nations and the production of international statistics on central banking
In: Statistics and beyond: new data for decision making in central banks
by Marc Flandreau & Clemens Jobst - 66-22 Using archival data at the Bank of England to understand the evolution of central bank balance sheets
In: Statistics and beyond: new data for decision making in central banks
by Ryland Thomas - 66-23 Filling the gaps: accounting fo rhte first 223 years of Banque de France balance sheet - a proposal for retrospective balance sheet construction
In: Statistics and beyond: new data for decision making in central banks
by Vincent Bignon & Jonas Plüss - 66-24 Opportunities and challenges in compiling long series: the BIS central bank statistics
In: Statistics and beyond: new data for decision making in central banks
by Bilyana Bogdanova & Olivier Sirello & Robert Szemere & Archana Dilip & Marc Flandreau - 66-25 Reading between the lines - uncovering asymmetry in the central bank loss function
In: Statistics and beyond: new data for decision making in central banks
by Markus Haavio & Joni Heikkinen & Pirkka Jalasjoki & Juha Kilponen & Maritta Paloviita & Ilona Vänni - 66-26 Development of a Labor Market Intelligence System (LMIS) using big data: the Philippine case
In: Statistics and beyond: new data for decision making in central banks
by Mary Grace Del Rosario - 66-27 Unlocking insights: harnessing card data to measure Namibia's cross-border digital purchases
In: Statistics and beyond: new data for decision making in central banks
by Joel Kagola & Brian Mbazuvara & Metilda Ntomwa & Isabel Nghinamupika & Sanette Schulze Struchtrup - 66-28 Mobile phone data and the "travel" item in the Balance of Payments: the Bank of Italy's experience
In: Statistics and beyond: new data for decision making in central banks
by Andrea Carboni & Claudio Doria & Valeria Valletta - 66-29 Tracking consumer sentiment in real time in the Dominican Republic: an approach based on granular data, text mining techniques and a topology of neural networks
In: Statistics and beyond: new data for decision making in central banks
by Lisette Josefina Santana Jimenez - 66-30 Expanding carbon indicator scope by looking through investment funds - an overview of statistical methodologies
In: Statistics and beyond: new data for decision making in central banks
by Annemarie Berkhout & Martijn Boermans & Justin Dijk & Wim Goossens & Trond Husby - 66-31 Granular data for the needs of central banks: the case of Central Bank of Morocco
In: Statistics and beyond: new data for decision making in central banks
by Mohamed Amine Chadib & Mohamed Elkhaoua - 66-32 Pricing implications of centrality in an OTC derivative market: an empirical analysis using transation-level CDS data
In: Statistics and beyond: new data for decision making in central banks
by Kohei Maehashi & Daisuke Miyakawa & Kana Sasamoto - 66-33 A closer look at new housing loans in Portugal: unlocking the power of credit microdata
In: Statistics and beyond: new data for decision making in central banks
by Ana Reis & Diana Martins - 66-34 Evolving NZ's expectations surveys for emerging data needs
In: Statistics and beyond: new data for decision making in central banks
by Alan Bentley & Matt Haigh - 66-35 New data: digging into the net-inflow analysis with the rest of the world
In: Statistics and beyond: new data for decision making in central banks
by Goncalo Amado - 66-36 Issues in measuring digital assets based on the 2025 SNA - focusing on the discussions regarding crypto assets
In: Statistics and beyond: new data for decision making in central banks
by Yoshiko Sato - 66-37 Assessing Fintech credit activity in Spain: an approach through the Fintech observatory
In: Statistics and beyond: new data for decision making in central banks
by Ramon Ruiz Garcia - 66-38 The network of experts on machine learning and the climate change challenge
In: Statistics and beyond: new data for decision making in central banks
by Edwige Burdeau & Andrej Ceglar & Zlatina Hofmeister & Michele Loberto & Sabina Marchetti & Andrea Toreti - 66-39 The climate data iceberg - a depth of information to integrate
In: Statistics and beyond: new data for decision making in central banks
by Hendrik Christian Doll & Emily Kormanyos & Susanne Walter & Gabriela Alves Werb - 66-40 Addressing sustainability data gaps for SMEs: challenges, alternative solutions and data-sharing
In: Statistics and beyond: new data for decision making in central banks
by Borja Fernandez-Rosillo San Isidro - 66-41 The role of information in shaping inflation expectations and perceptions: a survey experiment
In: Statistics and beyond: new data for decision making in central banks
by Anahit Matinyan & Ardash Kilejian - 66-42 Inflation and price dynamics analysis using high-frequency data from supermarkets: evidence from Peru
In: Statistics and beyond: new data for decision making in central banks
by Gonzalo Bueno - 66-43 High-frequency indicators for financial stability: a methodology utilising big data in payment system data
In: Statistics and beyond: new data for decision making in central banks
by Renardi Ardiya Bimantoro & Charvin Lim & Mohammad Khoyrul Hidayat - 66-44 Monitoring of non-financial companies at the Central Bank of Morocco
In: Statistics and beyond: new data for decision making in central banks
by Walid Bakrim - 67-01 Generative artificial intelligence in central banking
In: Data science in central banking
by Douglas Kiarelly Godoy de Araujo & Giuseppe Bruno & Adam Cap & Juri Marcucci & Rafael Schmidt & Olivier Sirello & Bruno Tissot - 67-02 Opening remarks
In: Data science in central banking
by Alberto Naudon - 67-03 Tailoring small language models for enterprise use cases
In: Data science in central banking
by Julien Simon - 67-04 Data science: the role of statisticians
In: Data science in central banking
by Elisabetta Carfagna - 67-05 IFC survey on central banks' use of AI and ML
In: Data science in central banking
by Alberto Naudon - 67-06 Innovation project: large language model adaptation at Latvijas Banka
In: Data science in central banking
by Martins Liberts & Rihards Ostrovskis - 67-07 A natural language processing toolbox for the National Bank of Romania
In: Data science in central banking
by Claudia Voicila & Daniel Serbu - 67-08 Transforming survey analysis: tools for central banks
In: Data science in central banking
by Nicholas Gray & Dominic Jones - 67-09 From text to insights: AI-based topic modeling for central banking applications
In: Data science in central banking
by Marlena Pietsch & Diana Sola & Felix Marx & Michaela Vollmer & Babak Zandi - 67-10 Efficacy of AI RAG tools for complex information extraction and data annotation tasks: a case study using banks' public disclosures
In: Data science in central banking
by Nicholas Botti & Flora Haberkorn & Charlotte Hoopes & Shaun Khan - 67-11 BankGPT: the use of large language models in official communications
In: Data science in central banking
by Claudia Biancotti & Carolina Camassa & Marco Fruzzetti & Luigi Palumbo & Myriam Portaluri - 67-12 Extracting economic issues from news data: with the help of generative AI
In: Data science in central banking
by Younghwan Lee - 67-13 What skills are employers looking for? Applying generative AI to Danish job postings
In: Data science in central banking
by Per Andersen & Erik Grenestam - 67-14 The monetary policy statement database
In: Data science in central banking
by Cory Baird & Jonathan Benchimol & Vira Vyshnevska & Wook Sohn & Iegor Vyshnevskyi - 67-15 Read between the headlines: can news data predict inflation?
In: Data science in central banking
by Alan Chester Arcin & Ma Ellysah Joy Guliman & Genna Paola Centeno & Jacqueline Margaux Herbo & Sanjeev Parmanand & Cherrie Mapa - 67-16 The impact of monetary surprises on exchange rates: results from textual and high-frequency analysis
In: Data science in central banking
by Jean-Charles Bricongne & Louis Marolleau - 67-17 Turbulent times: capturing social unrest in the news
In: Data science in central banking
by Sydney Eck & Flora Haberkorn & April Patel & Zach Proom & Abhinuv Uppal - 67-18 Indexing and visualization of climate narratives using BERT and causal extraction
In: Data science in central banking
by Noriyasu Kaneda & Hiroki Sakaji - 67-19 Gen AI in action: transforming data use in suptech
In: Data science in central banking
by Patrick Hoffmann & Maha El Dimachki & Sivasubramanian Ramanathan & Kenneth Gay & Harry Lee - 67-20 AI-driven legal summarization for financial regulation monitoring
In: Data science in central banking
by Diana Lopez Aviles & Isidora Diaz Jorquera - 67-21 A novel multi-step prompt approach for LLM-based Q&As on banking supervisory regulations
In: Data science in central banking
by Daniele Licari & Canio Benedetto & Daniele Bovi & Alessandro De Gregorio & Marco De Leonardis & Praveen Bushipaka & Tommaso Cucinotta - 67-22 Project Neo: gaining economic insights with AI and novel data
In: Data science in central banking
by Rachel Arulraj-Cordonier & Marko Nanut Petric & Flurina Strasser - 67-23 Enhancing external debt nowcasting: a data-driven approach using advanced analytics
In: Data science in central banking
by Candra Puspita Dewi & Aditya Wisnugraha Sugiyarto & Sony Panji Wicaksono - 67-24 Generalised weighted framework for synthetic data evaluation
In: Data science in central banking
by Chiung Ching Ho - 67-25 From CPU to GPU: comparison of parallel computing techniques for numerical solutions
In: Data science in central banking
by Maxim Ralchenko & Oleksandr Shcherbakov & Kim P Huynh - 67-26 Istanbul electricity demand forecast with artificial neural networks
In: Data science in central banking
by Hayriye Yasak Ozkal & Buse Kaylan & Meltem Sipahi & Muammer Altan Cakir - 67-27 Forecasting influenza-like illness in Italy using Wikipedia: a principal components regression approach
In: Data science in central banking
by Gianluca Mura - 67-28 A foundational model for macroeconomic times series forecasting and nowcasting
In: Data science in central banking
by Batuhan Koyuncu & Byeungchun Kwon & Marco Lombardi & Fernando Perez-Cruz & Hyun Song Shin - 67-29 Data anonymization principles at Banco de Portugal
In: Data science in central banking
by Ana F Carvalho & Francisco Fonseca & Mario Lourenco & Ricardo Marques - 67-30 Gen AI in payments: secure synthetic data and more
In: Data science in central banking
by Ajit Desai & Colin Jones & Masoud Nasari - 67-31 Regression on encrypted datasets using fully homomorphic encryption
In: Data science in central banking
by Adriano Baldeschi & Giuseppe Bruno & Mohammad Raeini & Paul Master & Vineet Chadha - 67-32 Metadata integration as a key enabling technique for AI and ML
In: Data science in central banking
by Thomas Gottron & Daniel Suranyi - 67-33 SDMX chatbot: a trustworthy assistant to navigate the SDMX documentation
In: Data science in central banking
by Samuel Melm & Brian Buffett - 67-34 sdmx.io: where tools and learning resources come together to address official statistics use cases
In: Data science in central banking
by Douglas Araujo & Brian Buffett - 67-35 SDMX enabled users' processes at the Bank of Italy
In: Data science in central banking
by Attilio Mattiocco & Valentino Pinna - 67-36 Supporting users in seeking data on the ECB data portal: a use case for retrieval augmented generation
In: Data science in central banking
by Luca Petracca & Simone De Benedictis & Thomas Gottron & Zlatina Hofmeister - 67-37 Using retrieval-augmented generation (RAG) and LangChain to drive chatbots for interactive economic data analysis and insight
In: Data science in central banking
by Seah Boon Keong & Eilyn Chong & Max Chew - 67-38 Leveraging generative AI for granular credit data utilization: a multi-agent approach
In: Data science in central banking
by Nontawit Cheewaruangroj & Kawinwish Laobundit & Peranut Nimitsurachat & Supachai Saengthong & Skunpoj Thanarojsophon & Anak Yodpinyanee - 67-39 Closing remarks
In: Data science in central banking
by Paolo Angelini
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: 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 - 64-02 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 - 64-03 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 - 64-04 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 & John Svanäng - 64-05 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 - 64-06 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 - 64-07 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 - 64-08 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 - 64-09 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 - 64-10 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 - 64-11 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 - 64-12 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 - 64-13 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 - 64-14 Big data platform (FinPulse) initiative
In: Data science in central banking: enhancing the access to and sharing of data
by Tsenddorj Dorjpurev - 64-15 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 - 64-16 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 - 64-17 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 - 64-18 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 - 64-19 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 - 64-20 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 - 64-21 Coding time series with machine learning
In: Data science in central banking: enhancing the access to and sharing of data
by Ayoub Mharzi - 64-22 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 - 64-23 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 - 64-24 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 - 64-25 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 - 64-26 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 - 64-27 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 - 64-28 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 - 64-29 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 - 64-30 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 - 64-31 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 - 64-32 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 - 64-33 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 - 65-01 Leveraging corporates' financial statements for policy insights
In: Leveraging corporates' financial statements for policy insights
by Dominik Elgg & Taejin Park & Bruno Tissot & Jose María Vidal Pastor - 65-02 Outlier detection optimization using machine learning for improving data quality
In: Leveraging corporates' financial statements for policy insights
by Salah Ahl Mbarek - 65-03 Superstar firms, intangibles, and productivity mismeasurement: evidence from firm-to-firm transactions
In: Leveraging corporates' financial statements for policy insights
by Gert Bijnens & Joep Konings & Aaron Putseys - 65-04 Connecting financial data with intellectual property rights: relevancy and (data) complexity
In: Leveraging corporates' financial statements for policy insights
by Julie Callaert & Phoenix Chen & Bart Van Looy & Steven Vanhaverbeke & Jan-Bart Vervenne & Jesse Wursten - 65-05 Uplifting the usability of financial statement data to leverage the quality of the Sectoral Balance Sheet (SBS) estimates
In: Leveraging corporates' financial statements for policy insights
by Jittima Dummee & Prossaya Jitapunkul & Natchaya Mahaviriyakul & Pornsawan Rugpenthum - 65-06 Green financing and the relationship between banks and non-financial corporations through the lens of balance-sheet interaction
In: Leveraging corporates' financial statements for policy insights
by Michael Harrison & Mimoza Shabani - 65-07 Quality over quantity? Using corporations' climate change related disclosure for risk assessment
In: Leveraging corporates' financial statements for policy insights
by Friedrich Bähr & Daniela Gasser & Sabine Wukovits - 65-08 It's in the financials, stupid! But is it certain?
In: Leveraging corporates' financial statements for policy insights
by Christian Haas & Ulf Moslener & Sebastian Rink - 65-09 Quantifying material risks from textual disclosures in financial statements using LLMs and LLM agents - a case study on physical riks
In: Leveraging corporates' financial statements for policy insights
by Taejin Park - 65-10 The allocation of cash flow by Spanish firms: new evidence on the impact of financial frictions
In: Leveraging corporates' financial statements for policy insights
by Martin Farias - 65-11 A study on complementary indicators to the ICR for identifying distressed firms
In: Leveraging corporates' financial statements for policy insights
by Jiyoung Choi & Sejong Lee & Hye Won Shin - 65-12 The Banco de España's Central Balance Sheet Data Office Database: a regional perspective
In: Leveraging corporates' financial statements for policy insights
by Alejandro Fernández Cerezo & Borja Fernández Rosillo San Isidro & Natividad Pérez Martín - 65-13 How resilient companies navigated through Covid-19 pandemics
In: Leveraging corporates' financial statements for policy insights
by António Costa & Pedro Cordeiro - 65-14 The pass-through of cost shocks to firm's prices and the impact on value added
In: Leveraging corporates' financial statements for policy insights
by Fabio Parlapiano - 65-15 Corporate debt structure and heterogeneous monetary policy transmission
In: Leveraging corporates' financial statements for policy insights
by Marie Alder & Nuno Coimbra & Urszula Szczerbowicz - 65-16 EU regulation on combating late payment in commercial transactions
In: Leveraging corporates' financial statements for policy insights
by Markus Federau & Bernd Schwendinger
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