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Content
2019
- 49-02 Opening remarks: Are post-crisis statistical initiatives completed? Taking stock
In: Are post-crisis statistical initiatives completed?
by Agustin Carstens - 49-03 Are post-crisis statistical initiatives completed?
In: Are post-crisis statistical initiatives completed?
by Claudia Buch - 49-04 Globalisation and digitalisation
In: Are post-crisis statistical initiatives completed?
by Peter van de Ven - 49-05 Macroprudential frameworks: experience, prospects and a way forward
In: Are post-crisis statistical initiatives completed?
by Claudio Borio - 49-06 Globalization and the geography of capital flows
In: Are post-crisis statistical initiatives completed?
by Carol Bertaut & Beau Bressler & Stephanie E Curcuru - 49-07 Uses of mirror data: examples from the BIS international banking statistics and other external statistics
In: Are post-crisis statistical initiatives completed?
by João Falcão Silva & Swapan-Kumar Pradhan - 49-08 How to identify “hidden securities assets” in the Balance of Payments: methods of Bank of France
In: Are post-crisis statistical initiatives completed?
by Emmanuel Gervais & Pierre Bui Quang - 49-09 Exchange rate effects in the international investment position – methods, tools and applications for Germany
In: Are post-crisis statistical initiatives completed?
by Stephanus Arz & Stefan Hopp & Ulf von Kalckreuth - 49-10 Going further than ITRS to draw up the French BOP: three tailor-made surveys
In: Are post-crisis statistical initiatives completed?
by Cécile Golfier - 49-11 The IMF balance sheet approach: towards from-whom-to-whom information on cross-border portfolio securities
In: Are post-crisis statistical initiatives completed?
by Artak Harutyunyan & Carlos Sánchez Muñoz - 49-12 Keeping track of MNEs through business group databases: The experience of Bank of Portugal
In: Are post-crisis statistical initiatives completed?
by Ana Bárbara Pinto & José Alexandre Neves & Tiago Pinho Pereira - 49-13 Cross-country bank-firm lending relationships: How can the Legal Entity Identifier help?
In: Are post-crisis statistical initiatives completed?
by José María Serena Garralda - 49-14 Building a multilayer macro-network for the Netherlands: A new way of looking at financial accounts and international investment position data
In: Are post-crisis statistical initiatives completed?
by Melle Bijlsma & Malka de Castro Campos & Raymond Chaudron & David-Jan Jansen - 49-15 Who holds banks’ debt securities? Statistical methods for allocation by holders
In: Are post-crisis statistical initiatives completed?
by Meng He & Zuzana Filkova - 49-16 Challenges for macro data on non-bank financial intermediaries
In: Are post-crisis statistical initiatives completed?
by Anna Maria Agresti & Celestino Girón - 49-17 Other financial corporations survey in Japan – compilation measures and recent features
In: Are post-crisis statistical initiatives completed?
by Daiki Date & Keita Takemura & Haruko Kato - 49-18 Real estate fund investment in post-crisis Ireland
In: Are post-crisis statistical initiatives completed?
by Barra McCarthy - 49-19 Looking through cross-border positions in investment funds: evidence from Italy
In: Are post-crisis statistical initiatives completed?
by Valerio Della Corte & Stefano Federico & Alberto Felettigh - 49-20 An insight into the derivatives trading of firms in the euro area
In: Are post-crisis statistical initiatives completed?
by Nicola Benatti & Francesco Napolitano - 49-21 The risk-taking channel of monetary policy in Macedonia: evidence from credit registry data
In: Are post-crisis statistical initiatives completed?
by Mite Miteski & Ana Mitreska & Mihajlo Vaskov - 49-22 The impact of macroprudential policies and their interaction with monetary policy: an empirical analysis using credit registry data
In: Are post-crisis statistical initiatives completed?
by Leonardo Gambacorta & Andrés Murcia - 49-23 Credit statistics as a tool for assessing the effectiveness of policies aimed at reducing credit cost
In: Are post-crisis statistical initiatives completed?
by Marcia Fiorindo & Monica Une & Juliano Cavalheiro & Fernando Alberto Rocha - 49-24 Estimating a country’s currency circulation within a monetary union
In: Are post-crisis statistical initiatives completed?
by André Cardoso Dias - 49-25 International financial flows and the Eurosystem’s asset purchase programme: evidence from b.o.p and security by security data
In: Are post-crisis statistical initiatives completed?
by Katharina Bergant & Martin Schmitz - 49-26 Developing distributional household balance sheets
In: Are post-crisis statistical initiatives completed?
by llja Kristian Kavonius & Juha Honkkila - 49-27 Bank of Korea consumer credit panel: a new statistical initiative for financial stability
In: Are post-crisis statistical initiatives completed?
by Mira Kim - 49-28 Disentangling the Supply and Demand Factors of Household Credit in Malaysia: Evidence from the Credit Register
In: Are post-crisis statistical initiatives completed?
by Jiaming Soh - 49-29 Profitability, equity capitalization and net worth at risk: update of the former ECCBSO Financial Statement Working Group paper with Spanish, Italian and Turkish data
In: Are post-crisis statistical initiatives completed?
by Merve Artman - 49-30 Sharing of data reported by complex multinational enterprises: a cooperative approach between Deutsche Bundesbank and Bank of France
In: Are post-crisis statistical initiatives completed?
by Tatiana Mosquera Yon & Jens Walter - 49-31 INEXDA – The granular data network
In: Are post-crisis statistical initiatives completed?
by Stefan Bender & Members of the INEXDA network - 49-32 An introduction to INEXDA’s metadata schema
In: Are post-crisis statistical initiatives completed?
by Stefan Bender & Brigitte Hausstein & Christian Hirsch - 49-33 Privacy preserving set intersection
In: Are post-crisis statistical initiatives completed?
by Giuseppe Bruno & Diana Nicoletti & Monica Scannapieco & Diego Zardetto - 49-34 Data sharing under confidentiality
In: Are post-crisis statistical initiatives completed?
by Erdem Başer & Timur Hülagü & Ersan Akyıldız & Adnan Bilgen & Murat Cenk & İrem Keskinkurt-Paksoy & A. Sevtap Selçuk-Kestel - 49-35 Sharing and using financial micro-data
In: Are post-crisis statistical initiatives completed?
by Alejandro Gaytán González & Manuel Sánchez Valadez & Mario Reyna Cerecero - 49-36 ECB data for analysis and decision-making: data governance and technology
In: Are post-crisis statistical initiatives completed?
by Emily Witt & Jannick Blaschke - 49-37 New electronic data delivery system of Central Bank of the Republic of Turkey
In: Are post-crisis statistical initiatives completed?
by Adnan Eken & Aycan Ozek & Burcu Cakmak & Seyma Serdengecti - 49-38 Enriching disclosures: The Bank Financial Strength Dashboard
In: Are post-crisis statistical initiatives completed?
by Tobias Irrcher - 49-39 The establishment of a central credit register at the Bank of Israel and its statistical disclosure control processes
In: Are post-crisis statistical initiatives completed?
by Ariel Mantzura - 49-40 Making available data more useable: compilation and publication of break-adjusted (historical) time series
In: Are post-crisis statistical initiatives completed?
by Ruben van der Helm & Jan Bartman - 49-41 Reporting practices of Islamic financial institutions in the BIS locational banking statistics
In: Are post-crisis statistical initiatives completed?
by Siew Koon Goh - 49-42 Demystifying big data in official statistics – it’s not rocket science!
In: Are post-crisis statistical initiatives completed?
by Jens Mehrhoff - 49-43 Liquidity in the JGB cash market: an evaluation from detailed transaction data
In: Are post-crisis statistical initiatives completed?
by Toshiyuki Sakiyama & Shun Kobayashi - 49-44 Can media and text analytics provide insights into labour market conditions in China?
In: Are post-crisis statistical initiatives completed?
by Jeannine Bailliu & Xinfen Han & Mark Kruger & Yu-Hsien Liu & Sri Thanabalasingam - 49-45 Developments in the residential mortgage market in Germany – what can Google data tell us?
In: Are post-crisis statistical initiatives completed?
by Simon Oehler - 49-46 Creating comprehensive data worlds using standardisation
In: Are post-crisis statistical initiatives completed?
by Stephan Müller - 49-47 Imputation for missing data through artificial intelligence
In: Are post-crisis statistical initiatives completed?
by Byeungchun Kwon - 49-48 A machine learning approach to outlier detection and imputation of missing data
In: Are post-crisis statistical initiatives completed?
by Nicola Benatti - 49-49 A robust machine learning approach for credit risk analysis of large loan level datasets using deep learning and extreme gradient boosting
In: Are post-crisis statistical initiatives completed?
by Anastasios Petropoulos & Vasilis Siakoulis & Evaggelos Stavroulakis & Aristotelis Klamargias - 49-50 Measuring stakeholders’ expectation on central bank’s policy rate
In: Are post-crisis statistical initiatives completed?
by Alvin Andhika Zulen & Okiriza Wibisono - 49-51 Two is company, three’s a crowd: automated pairing and matching of two-sided reporting in EMIR derivatives’ data
In: Are post-crisis statistical initiatives completed?
by Sébastien Pérez-Duarte & Grzegorz Skrzypczynski - 49-52 Evaluation of the transmission of the monetary policy interest rate to the market interest rates considering agents expectations
In: Are post-crisis statistical initiatives completed?
by Deicy Cristiano-Botia & Eliana Gonzalez-Molano & Carlos Huertas-Campos - 50-01 The use of big data analytics and artificial intelligence in central banking – An overview
In: The use of big data analytics and artificial intelligence in central banking
by Okiriza Wibisono & Hidayah Dhini Ari & Anggraini Widjanarti & Alvin Andhika Zulen & Bruno Tissot - 50-02 Building pathways for policy making with big data
In: The use of big data analytics and artificial intelligence in central banking
by Erwin Rijanto - 50-03 Building pathways for policy making with big data
In: The use of big data analytics and artificial intelligence in central banking
by Claudia Buch - 50-04 Big data for central bank policies
In: The use of big data analytics and artificial intelligence in central banking
by Yati Kurniati - 50-05 Understanding big data: fundamental concepts and framework
In: The use of big data analytics and artificial intelligence in central banking
by Paul Robinson - 50-06 Big data for central banks
In: The use of big data analytics and artificial intelligence in central banking
by Bruno Tissot - 50-07 Machine Learning: Classification and Clustering
In: The use of big data analytics and artificial intelligence in central banking
by Sanjiv R Das - 50-08 Annex – presentations
In: The use of big data analytics and artificial intelligence in central banking
by Sanjiv R Das - 50-09 Introduction to text mining
In: The use of big data analytics and artificial intelligence in central banking
by Stephen Hansen - 50-10 Introduction to network science & visualisation
In: The use of big data analytics and artificial intelligence in central banking
by Kimmo Soramäki - 50-11 Big data: new insights for economic policy
In: The use of big data analytics and artificial intelligence in central banking
by Gabriel Quirós-Romero - 50-12 Big data: new insights for economic policy – The Bank of England experience
In: The use of big data analytics and artificial intelligence in central banking
by Paul Robinson - 50-13 Promise: measuring from inflation to discrimination
In: The use of big data analytics and artificial intelligence in central banking
by Roberto Rigobon - 50-14 A personal view on big data and policymaking
In: The use of big data analytics and artificial intelligence in central banking
by Naruki Mori - 50-15 Nowcasting New Zealand GDP using machine learning algorithms
In: The use of big data analytics and artificial intelligence in central banking
by Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi - 50-16 Google econometrics: nowcasting euro area car sales and big data quality requirements
In: The use of big data analytics and artificial intelligence in central banking
by Per Nymand-Andersen & Emmanouil Pantelidis - 50-17 Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data
In: The use of big data analytics and artificial intelligence in central banking
by María Gil & Javier J. Pérez & Alberto Urtasun - 50-18 Standardised approach in developing economic indicators using internet searching applications
In: The use of big data analytics and artificial intelligence in central banking
by Paphatsorn Sawaengsuksant - 50-19 Measuring stakeholders’ expectations for the central bank’s policy rate
In: The use of big data analytics and artificial intelligence in central banking
by Alvin Andhika Zulen & Okiriza Wibisono - 50-20 Predictability in sovereign bond returns using technical trading rule: do developed and emerging markets differ?
In: The use of big data analytics and artificial intelligence in central banking
by Tom Fong & Gabriel Wu - 50-21 Measuring market and consumer sentiment and confidence
In: The use of big data analytics and artificial intelligence in central banking
by Stephen Hansen - 50-22 A robust machine learning approach for credit risk analysis of large loan-level datasets using deep learning and extreme gradient boosting
In: The use of big data analytics and artificial intelligence in central banking
by Anastasios Petropoulos & Vasilis Siakoulis & Evaggelos Stavroulakis & Aristotelis Klamargias - 50-23 Big data and FinRisk
In: The use of big data analytics and artificial intelligence in central banking
by Sanjiv Das - 50-24 Exploiting big data for sharpening financial sector risk assessment
In: The use of big data analytics and artificial intelligence in central banking
by Kimmo Soramäki - 50-25 How do central banks use big data to craft policy?
In: The use of big data analytics and artificial intelligence in central banking
by Per Nymand-Andersen - 50-26 The Bank of France datalake
In: The use of big data analytics and artificial intelligence in central banking
by Renaud Lacroix - 50-27 The framework of big data: a microdata strategy
In: The use of big data analytics and artificial intelligence in central banking
by Robert Kirchner - 50-28 Exploring big data to sharpen financial sector risk assessment
In: The use of big data analytics and artificial intelligence in central banking
by David Roi Hardoon - 50-29 Data science at the Netherlands Bank
In: The use of big data analytics and artificial intelligence in central banking
by Iman van Lelyveld - 50-30 How do central banks use big data to craft policy?
In: The use of big data analytics and artificial intelligence in central banking
by Bruno Tissot
2018
- 47-01 Overview of the IFC Satellite Seminar - The role of data in supporting financial inclusion policy
In: The role of data in supporting financial inclusion policy
by Bank of Morocco & José María Serena Garralda & Bruno Tissot - 47-02 Opening remarks
In: The role of data in supporting financial inclusion policy
by Abdellatif Jouahri - 47-03 Assessing financial inclusion in Portugal from the central bank's perspective
In: The role of data in supporting financial inclusion policy
by João Cadete de Matos & Luís D'Aguiar - 47-04 Financial inclusion: scope, organisation and results in France
In: The role of data in supporting financial inclusion policy
by Jacques Fournier - 47-05 National financial inclusion strategies and measurement framework
In: The role of data in supporting financial inclusion policy
by Zarina Abd Rahman - 47-06 International collaboration on assessing financial inclusion - Bank of Morocco's monitoring and evaluation framework
In: The role of data in supporting financial inclusion policy
by Asmaa Bennani & Ibtissam El Anzaoui - 47-07 Measuring financial competences in a large-scale survey: the Spanish Survey of Financial Competences
In: The role of data in supporting financial inclusion policy
by Josep Amer & Olympia Bover & Laura Hospido & Ernesto Villanueva - 47-08 Measuring the financial literacy of the adult population: the experience of the Bank of Italy
In: The role of data in supporting financial inclusion policy
by Antonietta di Salvatore & Francesco Franceschi & Andrea Neri & Francesca Zanichelli - 47-09 Financial citizenship statistics production
In: The role of data in supporting financial inclusion policy
by Katherine Hennings & Danniel Lafetá Machado - 47-10 What is financial inclusion and how to stimulate this in the Netherlands?
In: The role of data in supporting financial inclusion policy
by Michiel van Doeveren - 47-11 The Chilean experience of a universal access debit card
In: The role of data in supporting financial inclusion policy
by Erika Arraño & Juan Pablo Cova - 47-12 Moroccan micro, small and medium-sized enterprises observatory (MSMEO)
In: The role of data in supporting financial inclusion policy
by Jilali Rahali - 47-13 Financial inclusion in Nigeria: the challenges of banks and mobile money operators (MMOs)
In: The role of data in supporting financial inclusion policy
by Oluwaseun Odunayo Adesanya - 47-14 The role of payment systems and services in financial inclusion - the Latin American and Caribbean perspective
In: The role of data in supporting financial inclusion policy
by Raúl Morales Resendiz - 47-15 Adapting monetary policy to increasing financial inclusion
In: The role of data in supporting financial inclusion policy
by James Yetman - 47-16 Financial Access Survey (FAS): the IMF's financial inclusion data
In: The role of data in supporting financial inclusion policy
by Peter van Oudheusden - 47-17 The role of demand-side data - measuring financial inclusion from the perspective of users of financial services
In: The role of data in supporting financial inclusion policy
by Leora Klapper & Dorothe Singer - 47-18 Measuring financial inclusion: a multidimensional index
In: The role of data in supporting financial inclusion policy
by Noelia Cámara & David Tuesta - 47-19 Measures of financial inclusion - a central bank perspective
In: The role of data in supporting financial inclusion policy
by Bruno Tissot & Blaise Gadanecz - 48-01 Overview of the workshop - External sector statistics: current issues and new challenges
In: External sector statistics: current issues and new challenges
by Gagik Aghajanyan & Kaushik Jayaram & Margarit Muradyan & Bruno Tissot - 48-02 Compiling external sector statistics: challenges and opportunities
In: External sector statistics: current issues and new challenges
by Kaushik Jayaram - 48-03 Business registers as a source for the compilation of External Sector Statistics
In: External sector statistics: current issues and new challenges
by Alexia Vassiades - 48-04 Surveys as an important source of information for External Sector Statistics in Central Banks: the case of Armenia
In: External sector statistics: current issues and new challenges
by Diana Afyan - 48-05 Compilation of External Sector Statistics: Malaysia's Experience
In: External sector statistics: current issues and new challenges
by Norhayati Razi - 48-06 Accountancy records of companies and reporting for the external statistics needs
In: External sector statistics: current issues and new challenges
by Jacek Kocerka & Marcin Dwórznik - 48-07 Errors and omissions in Armenia's balance of payments: possible reasons and solutions
In: External sector statistics: current issues and new challenges
by Mher Barseghyan & Anush Davtyan - 48-08 Enhancing internal consistency of Luxembourg External Statistics
In: External sector statistics: current issues and new challenges
by Paul Feuvrier - 48-09 Stock of non-resident owned dwellings in Spain
In: External sector statistics: current issues and new challenges
by Esther Martín & Elena Nieto & Gregorio Portillo - 48-10 Compilation of e-commerce data for balance of payments statistics
In: External sector statistics: current issues and new challenges
by Lilit Yezekyan - 48-11 UAE Balance of payments: challenges and innovative compilation methods
In: External sector statistics: current issues and new challenges
by Abubaker Al Sayari - 48-12 Plastic cards statistics project for capturing tourism statistics
In: External sector statistics: current issues and new challenges
by Abubaker Al Sayari - 48-13 An assessment of the existing data collection on financial derivative products
In: External sector statistics: current issues and new challenges
by Hervé Thoumiand - 48-14 Changes in the IT landscape of the Deutsche Bundesbank s external sector statistics
In: External sector statistics: current issues and new challenges
by Joachim Hösch & Jens Walter - 48-15 Estimation of financial intermediation services indirectly measured in Armenia's external accounts
In: External sector statistics: current issues and new challenges
by Anush Davtyan - 48-16 Imputation techniques for the nationality of foreign shareholders in Italian firms
In: External sector statistics: current issues and new challenges
by Andrea Carboni & Alessandro Moro - 48-17 A method for estimating 'pass-through activities' in official FDI statistics
In: External sector statistics: current issues and new challenges
by Topias Leino - 48-18 Estimation of round tripping transactions: the Ukrainian experience
In: External sector statistics: current issues and new challenges
by Olena Syvak - 48-19 Euro area balance of payments and international investment position statistics: present and future
In: External sector statistics: current issues and new challenges
by Nuno Silva - 48-20 From balance of payments and international investment position to the rest of the world account: roadmap to Bank of Portugal's experience
In: External sector statistics: current issues and new challenges
by Rita Pisco & João Falcão & Paula Menezes - 48-21 Sharing of data reported by complex multinational enterprises: a cooperative approach between Deutsche Bundesbank and Bank of France
In: External sector statistics: current issues and new challenges
by Tatiana Mosquera Yon & Jens Walter - 48-22 Sectoral risk assessment: evidence from Poland
In: External sector statistics: current issues and new challenges
by Natalia Nehrebecka - 48-23 Experience in Chilean FDI measurement: better data for better interpretation
In: External sector statistics: current issues and new challenges
by María Isabel Méndez Ferrada - 48-24 BIS statistics on international debt issuance
In: External sector statistics: current issues and new challenges
by Bruno Tissot
2017
- 42-01 Assessing international capital flows after the Great Financial Crisis of 2007-09 - Overview
In: Assessing international capital flows after the crisis
by Bruno Tissot & Burcu Tunç - 42-02 Opening remarks
In: Assessing international capital flows after the crisis
by Luiz Awazu Pereira da Silva - 42-03 Opening remarks
In: Assessing international capital flows after the crisis
by Turalay Kenç - 42-04 Opening remarks
In: Assessing international capital flows after the crisis
by Jesus Cervantes González - 42-05 Global capital flows and external positions since the global financial crisis
In: Assessing international capital flows after the crisis
by Gian Maria Milesi-Ferretti - 42-06 Capital flow measures and research challenges
In: Assessing international capital flows after the crisis
by Linda Goldberg - 42-07 Capital flows in the post-global financial crisis era: implications for financial stability and monetary policy
In: Assessing international capital flows after the crisis
by Mahir Binici - 42-08 Transaction and valuation effects on Germany's international investment position (IIP) - new statistical approaches and IIP trends
In: Assessing international capital flows after the crisis
by Ursula Schipper - 42-09 South Africa's experience with capital flows since the financial crisis - from measurement to analysis
In: Assessing international capital flows after the crisis
by Barend de Beer - 42-10 Measuring and Reporting Capital Flows: The Role of the New Statistical Standards and Data Initiatives
In: Assessing international capital flows after the crisis
by Manik Shresta - 42-11 The compilation of goods for processing and merchanting under BPM6 in Korea
In: Assessing international capital flows after the crisis
by Seung Hwan Park - 42-12 Brazilian data collection system and BPM6 issues
In: Assessing international capital flows after the crisis
by Thiago Said Vieira - 42-13 FDI statistics excluding special purpose entities, capital-in-transit and financial restructuring - Hungarian practice
In: Assessing international capital flows after the crisis
by Beata Montvai - 42-14 From local to global: assessing financial positions on a consolidated nationality basis
In: Assessing international capital flows after the crisis
by Bruno Tissot - 42-15 Residency and Nationality: A view from 10,000 feet
In: Assessing international capital flows after the crisis
by Charles P Thomas - 42-16 Complementing residence-based external debt data with issuances by subsidiaries abroad: a tool for risk analysis in emerging market economies
In: Assessing international capital flows after the crisis
by Fernando Alberto Rocha - 42-17 Relevance of country allocation of FDI flows and positions
In: Assessing international capital flows after the crisis
by Alejandro Barajas del Pino - 42-18 Views from the ground: remarks on the BPM6 adoption
In: Assessing international capital flows after the crisis
by Livio Santos do Leite Ribeiro - 42-19 BPM6 communication and analysis challenges in the euro area
In: Assessing international capital flows after the crisis
by Aurel Schubert - 42-20 Statistician: A sexy job? Yes we can
In: Assessing international capital flows after the crisis
by Jacques Fournier - 42-21 BPM6 implementation in Poland - communication and analytical challenges
In: Assessing international capital flows after the crisis
by Jacek Łaszek - 43-01 Statistical implications of the new financial landscape - Overview
In: Statistical implications of the new financial landscape
by Bruno Tissot & Burcu Tunç - 43-02 Opening remarks
In: Statistical implications of the new financial landscape
by Katherine Hennings - 43-03 Opening remarks
In: Statistical implications of the new financial landscape
by Luiz Awazu Pereira da Silva - 43-04 Statistical thinking & methodology: pillars for quality in the big data era
In: Statistical implications of the new financial landscape
by Pedro Luis do Nascimento Silva - 43-05 Micro data: making better use through data sharing
In: Statistical implications of the new financial landscape
by Claudia Buch - 43-06 Macroprudential database
In: Statistical implications of the new financial landscape
by Samo Boh & Stefano Borgioli & Anne Koban & Romain Calleja & Thomas Schepens - 43-07 An overview of the UK banking sector since the Basel accord: brief insights from a new regulatory database / The recent history of UK banking industry seen through a new regulatory database
In: Statistical implications of the new financial landscape
by Sebastian J A de-Ramon & William B Francis & Kristoffer Milonas - 43-08 What shall we do with pass-through? DNB's experiences with special financial institutions
In: Statistical implications of the new financial landscape
by Jurriaan Eggelte & Melle Bijlsma & Krit Carlier - 43-09 Multichannel contagion vs stabilisation in multiple interconnected financial markets
In: Statistical implications of the new financial landscape
by Antoaneta Serguieva & David Bholat - 43-10 Locating global value: National statistical infrastructures and multinational banks
In: Statistical implications of the new financial landscape
by Jess Bier & Willem Schinkel - 43-11 New data collection on SPVs in Ireland: findings and implications for the measurement of shadow banking
In: Statistical implications of the new financial landscape
by Dominick Barrett & Brian Golden & Eduardo Maqui - 43-12 Measuring cross-sectoral shifts in credit provisioning: an enhanced framework
In: Statistical implications of the new financial landscape
by Melle Bijlsma & Jan Kakes & Eric Klaaijsen - 43-13 Enhancing euro area data on loans to the private sector adjusted for sales and securitisation
In: Statistical implications of the new financial landscape
by Clive Jackson & Anna Michalek - 43-14 What drives shadow banking? A dynamic panel evidence
In: Statistical implications of the new financial landscape
by SungJun Kim - 43-15 Competition indicators for the UK deposit-taking sector
In: Statistical implications of the new financial landscape
by Sebastian Jose de-Ramon & Michael Straughan - 43-16 Statistical implications of evolving monetary policy: the case of Indonesia
In: Statistical implications of the new financial landscape
by Hendy Sulistiowaty & Widi Agustin Srihanoki - 43-17 Measuring bank risk-taking behaviour: the risk-taking channel of monetary policy in Malaysia
In: Statistical implications of the new financial landscape
by Teh Tian Huey & Daniel Chin Shen Li - 43-18 Quantifying the tightness or looseness of monetary policy in South Africa
In: Statistical implications of the new financial landscape
by Johan Van den Heever & Danie Meyer - 43-19 Measuring wage and price stickiness using firm-level data and potential implications for monetary policy in Macedonia
In: Statistical implications of the new financial landscape
by Gani Ramadani - 43-20 Recent ECB experience of rapidly evolving monetary policy and its statistical implications
In: Statistical implications of the new financial landscape
by Jean-Marc Israël & Antonio Colangelo & Rodrigo Oliveira-Soares - 43-21 Unconventional monetary policy - is there a call for unconventional statistics?
In: Statistical implications of the new financial landscape
by Filipa Lima & Sonia Mota - 43-22 Real dollarization and monetary policy in Peru
In: Statistical implications of the new financial landscape
by Alex Contreras & Zenón Quispe & Fernando Regalado - 43-23 Gauging market dynamics using trade repository data: The case of the Swiss franc de-pegging
In: Statistical implications of the new financial landscape
by Olga Cielinska & Andreas Joseph & Ujwal Shreyas & John Tanner & Michalis Vasios - 43-24 Measuring the foreign exchange position for the corporate sector: CBRT's experience
In: Statistical implications of the new financial landscape
by Aylin Aslan & Burcu Tunç - 43-25 Macroeconomic surveillance of portfolio flows and its real effects: Malaysia's experience
In: Statistical implications of the new financial landscape
by Tng Boon Hwa & Mala Raghavan & Teh Tian Huey - 43-26 The use of foreign exchange derivatives by exporters and importers: the Chilean experience
In: Statistical implications of the new financial landscape
by Faruk Miguel Liriano - 43-27 Monitoring business cycles in Lebanon: Is economic growth cyclical? Is economic growth cyclical?
In: Statistical implications of the new financial landscape
by Sana Souaid Jad - 43-28 Portuguese economy: Statistical analysis on the current account reversal´s sustainability
In: Statistical implications of the new financial landscape
by João Falcão Silva & Vitor Lopes Silveira - 43-29 The indebtedness of Portuguese SMEs and the impact of leverage on their performance
In: Statistical implications of the new financial landscape
by Ana Filipa Carvalho & Manuel Perestrello & Mário Lourenço - 43-30 Inflation outlook and business conditions of firms: evidence from the Tankan Survey
In: Statistical implications of the new financial landscape
by Kouki Inamura & Kazunori Hiyama & Kyosuke Shiotani - 43-31 How should we measure residential property prices to inform policy makers?
In: Statistical implications of the new financial landscape
by Jens Mehrhoff - 43-32 Data revisions of pension obligations and alternative extrapolation methods: practical issues in bank of Japan's revised flow of funds accounts
In: Statistical implications of the new financial landscape
by Mizuki Kurihara & Naoto Osawa & Yoshiko Sato - 43-33 The compilation and analysis of Chinese government balance sheet
In: Statistical implications of the new financial landscape
by Guihuan Zheng & Yue Dan - 43-34 On the determinants of firms’ financial surpluses and deficits
In: Statistical implications of the new financial landscape
by Tatiana Cesaroni & Riccardo De Bonis & Luigi Infante - 43-35 Probability-of-default curve calibration and validation of internal rating systems
In: Statistical implications of the new financial landscape
by Natalia Nehrebecka - 43-36 Banks international asset portfolios: optimality, linkages and resilience
In: Statistical implications of the new financial landscape
by João Amador & João Falcão Silva - 43-37 Comparison of BIS derivatives statistics
In: Statistical implications of the new financial landscape
by Philip Wooldridge - 43-38 Using granular security holdings data to enhance investment fund statistics
In: Statistical implications of the new financial landscape
by Maciej Anacki & Jörg Reddig - 43-39 Unique identifiers in micro-data management - the Centralised Securities Database (CSDB) experience
In: Statistical implications of the new financial landscape
by Asier Cornejo Pérez & Javier Huerga & Frank Mayerlen & JJohannes Micheler - 43-40 Integrating reference data for monetary policy and supervisory purposes - The European System of Central Banks (ESCB) experience
In: Statistical implications of the new financial landscape
by Sara Thijs & Sandrine Corvoisier - 43-41 The benefits of using large high frequency financial datasets for empirical analyses: Two applied cases
In: Statistical implications of the new financial landscape
by Massimo Ferrari & Kristyna Ters - 43-42 Data as a critical factor for central banks
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In: Statistical implications of the new financial landscape
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In: Statistical implications of the new financial landscape
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In: Statistical implications of the new financial landscape
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In: Statistical implications of the new financial landscape
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In: Statistical implications of the new financial landscape
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