Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.
The framework guiding the IMF’s communications—established by the Executive Board in 2007—has enabled the institution to respond flexibly to the changing global context. The framework is based on four guiding principles: (i) deepening understanding and support for the Fund’s role and policies; (ii) better integrating communications into the IMF’s daily operations; (iii) raising the impact of new communications materials and technologies; and (iv) rebalancing outreach efforts to take account of different audiences. In addition, greater emphasis has been placed on strengthening internal communications to help ensure institutional coherence in the Fund’s outreach activities. Continued efforts are needed to strengthen communications going forward. Several issues deserve particular attention. First, taking further steps to ensure clarity and consistency in communication in a world where demand for Fund services continues to rise. Second, doing more to assess the impact of IMF communications and thus better inform efforts going forward. Third, engaging strategically and prudently with new media—including social media.
This paper reviews the role of the GDDS in helping developing and emerging market countries improve the dissemination of macroeconomic and sociodemographic data. It considers whether the GDDS, in the way it was designed about a decade ago and enhanced along the way, has fulfilled its purpose. Further, it considers whether the GDDS remains relevant to its current and prospective members, given ongoing global integration, increasing emphasis on transparency and governance mechanisms, and increased reliance on the Internet and electronic data transmission.
Jordan’s 2008 Article IV Consultation discusses the appropriate policy response to mounting fiscal and external vulnerabilities and higher inflation. Sharply higher world fuel and food prices led to a marked widening of the fiscal and external current account deficits and, more recently, a jump in inflation. Economic prospects remain broadly favorable, though the public and external sector imbalances imply increased challenges to sustaining strong macroeconomic performance. Structural reforms are proceeding, aimed at reducing distortions and enhancing the private sector’s growth prospects.
Mr. William E. Alexander, Mr. John Cady, and Mr. Jesus R Gonzalez-Garcia
The Data Dissemination Initiative was launched in the mid-1990s as part of a broader internationally-agreed-upon initiative to strengthen transparency and promote good governance practices by establishing standards and codes. Ten years later, the initiative is viewed as an integral part of the international financial architecture, and is considered to have improved the functioning of international financial markets and contributed to global financial stability. This volume reviews certain aspects of the development of and experience with the initiative over the past decade, and concludes by reflecting on potential challenges ahead and possible enhancements.
The report highlights the actions taken by the authorities to address the issues raised by the 2002 Data Report on the Observance of Standards and Codes (ROSC) mission for all macroeconomics statistics included in the ROSC exercise, namely national accounts, price, government finance, monetary, and balance-of-payments statistics. It also analyzes the authorities' plans for further improving the quality of the statistics, and reviews Jordan’s current data dissemination practices against the requirements of the Special Data Dissemination Standard (SDDS).
This Report on the Observance of Standards and Codes (ROSC) provides a review of Jordan’s data dissemination practices against the IMF’s General Data Dissemination System (GDDS), complemented by an in-depth assessment of quality of national accounts, consumer and producer price indices, and government finance, monetary, and balance-of-payments statistics. The assessment reveals that Jordan participates in the GDDS and meets the recommendations for the coverage, periodicity, and timeliness of most data categories. Jordan’s macroeconomic statistics also broadly meet the periodicity requirements of the SDDS.