Statistics and beyond: new data for decision making in central banks

Committee, Irving Fisher

Statistics and beyond: new data for decision making in central banks

Irving Fisher Committee

No 66 in IFC Bulletins from Bank for International Settlements

Date: 2026 Written 2026-02
ISBN: 978-92-9259-925-6
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http://www.bis.org/ifc/publ/ifcb66.htm (text/html)

Chapters in this book:

50 years of quality and transparency of the World Bank Debtor Reporting System...counting: Joao Falcao Silva and Rubena Sukaj
A closer look at new housing loans in Portugal: unlocking the power of credit microdata: Ana Reis and Diana Martins
A scalable, explainable machine learning approach for granular-level credit dataset's quality assurance: Anak Yodpinyanee, Peranut Nimitsurachat, Nontawit Cheewaruangroj and Supachai Saengthong
Addressing sustainability data gaps for SMEs: challenges, alternative solutions and data-sharing: Borja Fernandez-Rosillo San Isidro
Assessing Fintech credit activity in Spain: an approach through the Fintech observatory: Ramon Ruiz Garcia
BCChAPI: A python interface to the Central Bank of Chile statistical database API: Ricardo Villarreal Zan
Bi-dimensional sentiment indicators based on new generative AI capabilities - a pilot study in the housing market in Israel: Alon Bartal, Michael Gurkov, Ariel Mantzura, Yulia Nudelman, Darin Vaisman and Inbal Yahav Shenberger
Building financial accounts by using "From-whom-to-whom (FWTW)" approach and its analytical value - NBRNM case: Snezhana Janeska Popovska, Nada Ciriviri and Biljana Petrushevska
Development of a Labor Market Intelligence System (LMIS) using big data: the Philippine case: Mary Grace Del Rosario
Direct investment positions held by captive financial institutions in Luxembourg affiliated to investment funds focusing on private equity or real estate: Gabriele Di Filippo
Empowering public-private data partnership for data on digital economy: case of Bank Indonesia: Anggraini Widjanarti, Alvin Andhika Zulen and Okiriza Wibisono
Enhancing metadata with generative AI: the case of BIS statistics: Bilyana Bogdanova, Magdalena Erdem, Bianca Ligani and Olivier Sirello
Evolving NZ's expectations surveys for emerging data needs: Alan Bentley and Matt Haigh
Expanding carbon indicator scope by looking through investment funds - an overview of statistical methodologies: Annemarie Berkhout, Martijn Boermans, Justin Dijk, Wim Goossens and Trond Husby
Filling the gaps: accounting fo rhte first 223 years of Banque de France balance sheet - a proposal for retrospective balance sheet construction: Vincent Bignon and Jonas Plüss
Generative AI and official statistics: the project of the UNECE high-level group for the modernisation of official statistics: InKyung Choi, Amilina Kipkeeva, Olivier Sirello and Vytas Vaiciulis
Granular data for the needs of central banks: the case of Central Bank of Morocco: Mohamed Amine Chadib and Mohamed Elkhaoua
High-frequency indicators for financial stability: a methodology utilising big data in payment system data: Renardi Ardiya Bimantoro, Charvin Lim and Mohammad Khoyrul Hidayat
How to use Trade Repository data on OTC derivatives for analysis - a practical framework: Silvia Pezzini, Henry Chan and Wenjing Shi
Implementing Statistical Data Metadata Exchange (SDMX) in Centralised Information Management System (CIMS) - challenges, solution design and benefits: Debasis Nandi and Prakash Madda
Improving the quality of balance of payments statistics via granular bilateral analysis - trilaterial comparison: Austria, Italy and Spain: Nadia Accoto, Erza Aruqaj, Maria Garcia del Riego, Jorge Diz Dias, Milena Matteo and Fausto Pastoris
Inflation and price dynamics analysis using high-frequency data from supermarkets: evidence from Peru: Gonzalo Bueno
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
Leveraging custom large language models for economic insights: Nik Ahmad Akram and Eilyn Chong
Machine learning for anomaly detection in money services business outlets using data by geolocation: Vincent Lee Wai Seng and Shariff Abu Bakar Sarip Abidinsa
Main outcomes of the INEXDA working group on Statistical Disclosure Control (SDC): Ricardo Arcos, Ana Esteban, Eugenia Koblents and Emma Perez
Mobile phone data and the "travel" item in the Balance of Payments: the Bank of Italy's experience: Andrea Carboni, Claudio Doria and Valeria Valletta
Monitoring of non-financial companies at the Central Bank of Morocco: Walid Bakrim
New data: digging into the net-inflow analysis with the rest of the world: Goncalo Amado
Opportunities and challenges in compiling long series: the BIS central bank statistics: Bilyana Bogdanova, Olivier Sirello, Robert Szemere, Archana Dilip and Marc Flandreau
Pricing implications of centrality in an OTC derivative market: an empirical analysis using transation-level CDS data: Kohei Maehashi, Daisuke Miyakawa and Kana Sasamoto
Reading between the lines - uncovering asymmetry in the central bank loss function: Markus Haavio, Joni Heikkinen, Pirkka Jalasjoki, Juha Kilponen, Maritta Paloviita and Ilona Vänni
Special Purpose Entities (SPEs) in external statistics: the journey to data publication in the euro area and first analytical insights: Jorge Diz Dias, Fausto Pastoris and Carmen Picon-Aguilar
The climate data iceberg - a depth of information to integrate: Hendrik Christian Doll, Emily Kormanyos, Susanne Walter and Gabriela Alves Werb
The evolution of the central bank statistical function: Archana Dilip, Zukiswa Mdingi, Olivier Sirello and Bruno Tissot
The League of Nations and the production of international statistics on central banking: Marc Flandreau and Clemens Jobst
The network of experts on machine learning and the climate change challenge: Edwige Burdeau, Andrej Ceglar, Zlatina Hofmeister, Michele Loberto, Sabina Marchetti and Andrea Toreti
The role of information in shaping inflation expectations and perceptions: a survey experiment: Anahit Matinyan and Ardash Kilejian
Together we go further: designing a common statistical literacy strategy for the ESCB: Laura Belli, Maria Carolina Campos, Ligia Maria Nunes and Matthias Rumpf
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: Lisette Josefina Santana Jimenez
Unlocking insights: harnessing card data to measure Namibia's cross-border digital purchases: Joel Kagola, Brian Mbazuvara, Metilda Ntomwa, Isabel Nghinamupika and Sanette Schulze Struchtrup
Using archival data at the Bank of England to understand the evolution of central bank balance sheets: Ryland Thomas
Variational autoencoders for multivariate time series outlier detection: Tamara Fajt Mayer, Giovanni Raimondo Quaratino and Juan Francisco Javier Cordero

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