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International Monetary Fund. Monetary and Capital Markets Department
The global central banking community is actively exploring Central Bank Digital Currencies (CBDCs), which may have a fundamental impact on both domestic and international economic and financial stability. Over 40 countries have approached the IMF to request assistance through CBDC capacity development (CD). Current IMF CBDC CD efforts have focused on facilitating peer learning and developing analytical underpinnings for staff advice to member countries. CD missions have aimed at helping country authorities answer questions about how to think about CBDCs. With more available country experiments and empirical evidence, IMF CD will evolve to provide increased value-added advice more tailored to country circumstances and more solidly anchored in empirical and analytical work, and strengthen synergies with surveillance. This paper sketches a multi-year strategy to address frequently asked questions related to CBDC and outlines the process for developing a CBDC Handbook which will document emerging lessons, analytical findings, and policy views. The paper (1) explains the IMF’s approach to CBDC CD; (2) summarizes member countries’ emerging questions and challenges regarding CBDC; and (3) introduces the CBDC Handbook by motivating its scope and elucidating its governance structure.
Nordine Abidi
,
Mehdi El Herradi
, and
Sahra Sakha
The COVID-19 pandemic has resulted in an unprecedented shock to firms with adverse consequences for existing productive capacities. At the same time, digitalization has increasingly been touted as a key pathway for mitigating economic losses from the pandemic, and we expect firms facing digital constraints to be less resilient to supply shocks. This paper uses firm-level data to investigate whether digitally-enabled firms have been able to mitigate economic losses arising from the pandemic better than digitally-constrained firms in the Middle East and Central Asia region using a difference-in-differences approach. Controlling for demand conditions, we find that digitally-enabled firms faced a lower decline in sales by about 4 percentage points during the pandemic compared to digitally-constrained firms, suggesting that digitalization acted as a hedge during the pandemic. Against this backdrop, our results suggest that policymakers need to close the digital gap and accelerate firms’ digital transformation. This will be essential for economies to bounce back from the pandemic, and build the foundations for future resilience.
Ms. Inutu Lukonga
Policy makers in the MENAP region have been formulating policies and designing programs to develop small and medium sized enterprises (SMEs) with a view to create jobs and achieve inclusive growth. But while the programs have helped increase the number of enterprises, growth of SMEs continues to face barriers to growth. As a result, microenterprises predominate and SMEs contribution to employment remains below potential. Partial implementation of reforms explain some of the underperformance, but frictions in strategy design also played an important role. Sustaining current reforms is, therefore, not sufficient to achieve inclusive growth. Digital technologies have potential to boost SMEs productivity and growth and economies are rapidly digitalizing, thus SMEs need to embrace digital solutions to compete and survive. Therefore, for SMEs to be effective engines of inclusive growth, a rethinking of the SME development strategy is needed that makes SMEs’ digital transformation a priority.
Majid Bazarbash
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.
International Monetary Fund
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.