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Content
2026
- 66-01 The evolution of the central bank statistical function
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
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 - 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