This Technical Assistance report on Jordan discusses that financial system of Jordan is dominated by other depository corporations (ODC), which constitute around 63 percent of the financial system’s assets. The technical assistance mission delivered objectives and agreed with the authorities on an action plan to improve the country’s monetary statistics. Some progress has been made in the Central Bank trial accounts regarding the sectorization and classification of the financial instruments. The Central Bank of Jordan (CBJ) has made substantive progress in improving human resource skills among staff. The accounting principles are found to be broadly in line with the methodology of the IMF with some departures related to market valuation. The accounting and valuation methodology implemented by the ODCs in Jordan are broadly in line with the recommended compilation practices identified in the Monetary and Financial Statistics Manual and Compilation Guide. Considering the change in the source data since 2014, the mission re-mapped the source data, using data from the aggregated balance sheet of the banking sector and the accompanying schedules through a bridge table. The mission built a time series for all the required data and created a tool linking the data to the Standardized report forms. The tool provides CBJ staff with a simpler method for data compilation.
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.
William Arrata, Benoit Nguyen, Imene Rahmouni-Rousseau, and Miklos Vari
Most short-term interest rates in the Euro area are below the European Central Bank deposit facility rate, the rate at which the central bank remunerates banks’ excess reserves. This unexpected development coincided with the start of the Public Sector Purchase Program (PSPP). In this paper, we explore empirically the interactions between the PSPP and repo rates. We document different channels through which asset purchases may affect them. Using proprietary data from PSPP purchases and repo transactions for specific (“special") securities, we assess the scarcity channel of PSPP and its impact on repo rates. We estimate that purchasing 1 percent of a bond outstanding is associated with a decline of its repo rate of 0.78 bps. Using an instrumental variable, we find that the full effect may be up to six times higher.
International Monetary Fund. Middle East and Central Asia Dept.
This 2017 Article IV Consultation highlights that Jordan has made significant progress since the 2014 Article IV Consultation but pressing challenges remain. The gradual pick-up in growth from 2010 to 2014 ended in 2015, with real GDP growth decelerating from 2.4 percent in 2015 to 2 percent in 2016. Labor market conditions have remained challenging, particularly for youth and women, with the unemployment rate increasing to 15.8 percent in the second half of 2016. Despite considerable progress and recent improvements, the outlook remains challenging. Real GDP growth is projected to reach 2.3 percent in 2017, while inflation is expected to stabilize at about 2.5 percent by year-end.
Mr. Bjoern Rother, Ms. Gaelle Pierre, Davide Lombardo, Risto Herrala, Ms. Priscilla Toffano, Mr. Erik Roos, Mr. Allan G Auclair, and Ms. Karina Manasseh
In recent decades, the Middle East and North Africa region (MENA) has experienced more frequent and severe conflicts than in any other region of the world, exacting a devastating human toll. The region now faces unprecedented challenges, including the emergence of violent non-state actors, significant destruction, and a refugee crisis bigger than any since World War II. This paper raises awareness of the economic costs of conflicts on the countries directly involved and on their neighbors. It argues that appropriate macroeconomic policies can help mitigate the impact of conflicts in the short term, and that fostering higher and more inclusive growth can help address some of the root causes of conflicts over the long term. The paper also highlights the crucial role of external partners, including the IMF, in helping MENA countries tackle these challenges.