IFC Bulletins chapters

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Introducing explainable supervised machine learning into interactive feedback loops for statistical production systems: Thomas Gottron, Georgios Kanellos, Johannes Micheler, José Martínez and Carlos Mougan
Introducing the work programme of the BIS Innovation Hub Singapore Centre on green finance and climate risk data: Patrick Hoffmann, Maha El Dimachki, Kenneth Gay, Léa Grisey and Zooey Bossert
Introduction to and application of SDC rules using self-developed tools: Jannick Blaschke, Matthias Gomolka, Christian Hirsch, Sebastian Seltmann and Harald Stahl
Introduction to network science & visualisation: Kimmo Soramäki
Introduction to text mining: Stephen Hansen
Introduction to the OECD Handbook on composite indicators: Claudia Biancotti
Introduction: BPM7 - external sector statistics address new challenges: Jannick Damgaard, Venkat Josyula and Carlos Sánchez Muñoz
Introductory remarks: Pablo Hernández de Cos
Introductory remarks by IFC: Pablo Garcia Silva
Introductory remarks of Relevance of data integration and advanced analytics in central bank decision-making: Maayan Kellerman
Introductory speech: Carlos da Silva Costa
Introductory speech - Communication on central bank statistics: unlocking the next level: Ana Paula Serra
Invoices rather than surveys: using ML to build nominal and real indices: Pablo Acevedo, Dagoberto Quevedo, Marco Rojas, Emiliano Luttini and Matías Pizarro
Is micro-data reporting the future for interest rate statistics? , pp 115-119: Patrícia Antunes, Inês Correia and Rita Lameira
Is mobile money part of money? Understanding the trends and measurement / Evaluating mobile money access and use with non-traditional data sources: Kazuko Shirono, Bidisha Das, Yingjie Fan, Esha Chhabra and Hector Carcel
Is there a future for traditional stochastic models in business and industry in the AI and ML era?: Fabrizio Ruggeri
Issues in measuring digital assets based on the 2025 SNA - focusing on the discussions regarding crypto assets: Yoshiko Sato
Issues in reflecting digital assets in the Flow of Funds Accounts: Yoshiko Sato
Issues in the compilation and analysis of remittances in BPM6: Blessing Adada Gaiya
It's in the financials, stupid! But is it certain?: Christian Haas, Ulf Moslener and Sebastian Rink
Japan's approach to capturing the household sector , pp 84-87: Satoru Hagino
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: Eugenia Koblents and Alberto Lorenzo Megia
Keeping track of MNEs through business group databases: The experience of Bank of Portugal: Ana Bárbara Pinto, José Alexandre Neves and Tiago Pinho Pereira
Key indicators for sectoral productivity analysis: Laurent Olislager
Key points of the Porto Workshop on Integrated Management of Micro-databases , pp 3-4: João Cadete de Matos, Aurel Schubert and Paul Van den Bergh
Keynote presentation: Financial inclusion - issues in measurement & analysis: Kamalesh Shailesh C Chakrabarty
Keynote speech: Financial inclusion - issues in measurement & analysis: Kamalesh Shailesh C Chakrabarty
Legal Entity Identifier or the utility approach to shared, high-quality basic micro data , pp 51-56: Francis Gross
Lessons from the Spanish survey of household finances , pp 277-288: Cristina Barcelo and Olympia Bover
Let's talk about sentiment: natural language processing using machine learning on bank earnings transcripts: Seung Jung Lee, Sriram Nagaraj, Dylan Saez, Victors Stebunovs, Cindy Vojtech and Karl Wirth
Leveraging corporates' financial statements for policy insights: Dominik Elgg, Taejin Park, Bruno Tissot and Jose María Vidal Pastor
Leveraging custom large language models for economic insights: Nik Ahmad Akram and Eilyn Chong
Leveraging large language models to extract data citations: Sebastian Seltmann, Emily Kormanyos and Hendrik Christian Doll
Leveraging open-source software and data standards as the backbone of your open data strategy: Darran Hodder and Matthew Nelson
Leveraging the power of visualisation for data exploration and insights communication – visual analytics with Tableau: Zunaira Rasheed
Linking micro and macro data - old and new questions for central banks: Fabrizio Zampolli
Linking micro datasets to better service policy-making and analyses: Jean-Marc Israel
Linking qualitative survey responses with quantitative data - methodology, quality and data analysis from the matching of the ECB/EC Survey on Access to Finance of Enterprises and the Amadeus database: Katarzyna Bankowska, Malgorzata Osiewicz and Sebastien Perez-Duarte
Liquidity in the JGB cash market: an evaluation from detailed transaction data: Toshiyuki Sakiyama and Shun Kobayashi
Locating global value: National statistical infrastructures and multinational banks: Jess Bier and Willem Schinkel
Looking at aggregate currency mismatches and beyond: Emese Kuruc, Bruno Tissot and Philip Turner
Looking through cross-border positions in investment funds: evidence from Italy: Valerio Della Corte, Stefano Federico and Alberto Felettigh
Luxembourg, the chain of direct investment ownership and the residence principle: Paul Feuvrier
Machine learning applications in central banking: an overview: Douglas Araujo, Giuseppe Bruno, Juri Marcucci, Rafael Schmidt and Bruno Tissot
Machine learning for anomaly detection in datasets with categorical variables and skewed distributions: Matteo Accornero and Gianluca Boscariol
Machine learning for anomaly detection in financial regulatory data: Maryam Haghighi, Colin Jones and James Younker
Machine learning for anomaly detection in money services business outlets using data by geolocation: Vincent Lee Wai Seng and Shariff Abu Bakar Sarip Abidinsa
Machine learning for measuring central bank policy credibility and communication from news: Muhammad Abdul Jabbar, Okiriza Wibisono, Anggraini Widjanarti and Alvin Andhika Zulen
Machine learning real-time CPI forecasting: Mariam Mamedeli
Machine learning-based approaches for automatic data validation and outlier control of loan microdata in the Bank of Russia: Dimitrii Diachkov