64th ISI World Statistics Congress

64th ISI World Statistics Congress

Evolving statistics in support of central bank policies

Organiser

BT
Bruno Tissot

Participants

  • FR
    Mr Fernando Alberto Rocha
    (Chair)

  • GS
    Mr Grzegorz Skrzypczynski
    (Presenter/Speaker)
  • Use of European Market Infrastructure Regulation (EMIR) data for macroprudential analysis

  • BV
    Mrs BERNICE VYTIACO
    (Presenter/Speaker)
  • Development of intelligent prioritization of account framework for audit processing of foreign exchange records

  • SJ
    Dr Shahid hussain Javaid
    (Presenter/Speaker)
  • Analysis of Concentration and distribution measures as Pakistan’s financial soundness indicators

  • UVK
    Dr Ulf von Kalckreuth
    (Presenter/Speaker)
  • Harnessing the Power of Input-Output Analysis for Sustainability

  • NA
    Mrs Nadia Accoto
    (Presenter/Speaker)
  • In search of FDI ultimate hosting economies: maximum entropy and centrality measures techniq

  • Category: International Statistical Institute

    Abstract

    Central banks have an almost unique perspective on official statistics, being at the forefront of both the production and the application of economic and financial data. On the one hand, they produce statistics on a wide variety of domains, especially the financial system, that are of key relevance for a broad range of economic policymakers. On the other hand, central banks make extensive use of diverse data sources in pursuing their objectives, especially their monetary policy and financial stability goals. Both roles demand constant attention to the economic and financial environment and the fitness-for-purpose of statistics and analytical tools and products.

    This session will provide an opportunity to review central banks’ evolving use cases in leveraging on statistics to support the conduct of their policies. It will also useful to review the impact of the new statistical initiatives developed all over the world that are relevant for the conduct of central bank policies, including the Data Gap Initiatives of the Group 20.