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Business and Economics > Information Management

You are looking at 1 - 10 of 19 items for :

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Cover IMF Working Papers
Global Shocks Unfolding: Lessons from Fragile and Conflict-affected States
Jocelyn Boussard
,
Chiara Castrovillari
,
Tomohide Mineyama
,
Marta Spinella
, and
Maxwell Tuuli
This paper investigates the consequences of global shocks on a sample of low- and lower-middle-income countries with a particular focus on fragile and conflict-affected states (FCS). FCS are a group of countries that display institutional weakness and/or are negatively affected by active conflict, thereby facing challenges in macroeconomic policy management. Examining different global shocks associated with commodity prices, external demand, and financing conditions, this paper establishes that FCS economies are more vulnerable to these shocks compared to non-FCS peers. The higher sensitivity of FCS economies is mainly driven by procyclical fiscal responses, aggravated by the lack of effective spending controls and timely access to financial sources. External financing serves as a source of stability, partially mitigating the adverse impact of global shocks. This paper contributes to a better understanding of how conditions of fragility, which are on the rise in many parts of the world today, can amplify the effects of negative exogenous shocks. Its results highlight the diverse nature of underlying sources of vulnerabilities, spanning from fiscal and external buffers to institutional quality and economic structure, with lessons applicable to a broader set of countries. Efficient and timely external financial support from external partners, including international financial institutions, should help countries’ counter-cyclical responses to mitigate adverse shocks and achieve macroeconomic stability.
Keywords:
Global shocks; external financing; low-income countries; Fragile and conflict-affected states (FCS); FCS economy; Commodity tot shock; FCS list; shock variable; decline shock; Technology transfer; Exports; Commodity prices; Commodity price fluctuations; Global
Cover IMF Working Papers
Derivative Margin Calls: A New Driver of MMF Flows
Maddalena Ghio
,
Linda Rousova
,
Dilyara Salakhova
, and
German Villegas Bauer
During the March 2020 market turmoil, euro area money-market funds (MMFs) experienced significant outflows, reaching almost 8% of assets under management. This paper investigates whether the volatility in MMF flows was driven by investors’ liquidity needs related to derivative margin payments. We combine three highly granular unique data sources (EMIR data for derivatives, SHSS data for investor holdings of MMFs and Refinitiv Lipper data for daily MMF flows) to construct a daily fund-level panel dataset spanning from February to April 2020. We estimate the effects of variation margin paid and received by the largest holders of EURdenominated MMFs on flows of these MMFs. The main findings suggest that variation margin payments faced by some investors holding MMFs were an important driver of the flows of EUR-denominated MMFs domiciled in euro area.
Keywords:
liquidity risk; money market funds; big data; interconnectedness; non-bank financial intermediaries.; EUR-denominated MMFs; derivative margin calls; MMF flow; variation margin payment; VM flow; Stocks; Liquidity; Mutual funds; Nonbank financial institutions; Pension spending; Global; IMF working paper research Department; derivatives reform; margin payment; Derivative markets
Cover IMF Working Papers
Building Statistical Capacity in Fragile and Conflict-Affected States
Yasmin Alem
and
Jacinta Bernadette Shirakawa
Based on internal data, this paper finds that the capacity development program of the IMF’s Statistics Department has prioritized technical assistance and training to fragile and conflict-affected states. These interventions have yielded only slightly weaker results in fragile states than in other states. However, capacity development is constantly needed to make up for the dissipation of progress resulting from insufficient resources that fragile and conflict-affected states allocate to the statistical function, inadequate inter-agency coordination, and the pervasive impact of shocks exogenous to the statistical system. Greater coordination with other capacity development providers and within the IMF can help partially overcome low absorptive capacity in fragile states. Statistical capacity development is more effective when it is tailored to countries’ level of fragility.
Keywords:
Capacity Development; Statistics; Data; Fragile States; Sta CD mission; government finance statistics manual; Sta CD delivery; Sta CD spending; World Bank methodology assessment; Income; Government finance statistics; External sector statistics; Information and data management; Middle East and Central Asia; Pacific Islands; Middle East; West Africa; Africa; Central Africa; Global
Cover IMF Working Papers
Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity
Mr. Paul A Austin
,
Mr. Marco Marini
,
Alberto Sanchez
,
Chima Simpson-Bell
, and
James Tebrake
As the pandemic heigthened policymakers’ demand for more frequent and timely indicators to assess economic activities, traditional data collection and compilation methods to produce official indicators are falling short—triggering stronger interest in real time data to provide early signals of turning points in economic activity. In this paper, we examine how data extracted from the Google Places API and Google Trends can be used to develop high frequency indicators aligned to the statistical concepts, classifications, and definitions used in producing official measures. The approach is illustrated by use of Google data-derived indicators that predict well the GDP trajectories of selected countries during the early stage of COVID-19. To this end, we developed a methodological toolkit for national compilers interested in using Google data to enhance the timeliness and frequency of economic indicators.
Keywords:
Reopening; COVID-19; High-Frequency Data; Business Register.; Google Trends data; Google data; high-frequency data; high frequency indicator; reopening Indicator; APIs; Big data; Manufacturing; Africa; Global
Cover IMF Working Papers
Patterns in IMF Growth Forecast Revisions: A Panel Study at Multiple Horizons
Metodij Hadzi-Vaskov
,
Mr. Luca A Ricci
,
Alejandro Mariano Werner
, and
Rene Zamarripa
This paper investigates the performance of the IMF WEO growth forecast revisions across different horizons and country groups. We find that: (i) growth revisions in horizons closer to the actual are generally larger, more volatile, and more negative; (ii) on average, growth revisions are in the right direction, becoming progressively more responsive to the forecast error gap as horizons get closer to the actual year; (iii) growth revisions in systemic economies are relevant for growth revisions in all country groups; (iv) WEO and Consensus Forecast growth revisions are highly correlated; (v) fall-to-spring WEO revisions are more correlated with Consensus Forecasts revisions compared to spring-to-fall revisions; and (vi) across vintages, revisions for a given time horizon are not autocorrelated; within vintages, revisions tend to be positively correlated, suggesting perception of persistent short-term shocks.
Keywords:
growth revision; consensus forecast growth revision; WEO growth forecast; consensus forecasts revision; fall-to-spring WEO revision; Technology transfer; Terms of trade; Time series analysis; Vector autoregression; Europe; Caribbean
Cover IMF Working Papers
World Seaborne Trade in Real Time: A Proof of Concept for Building AIS-based Nowcasts from Scratch
Diego A. Cerdeiro
,
Andras Komaromi
,
Yang Liu
, and
Mamoon Saeed
Maritime data from the Automatic Identification System (AIS) have emerged as a potential source for real time information on trade activity. However, no globally applicable end-to-end solution has been published to transform raw AIS messages into economically meaningful, policy-relevant indicators of international trade. Our paper proposes and tests a set of algorithms to fill this gap. We build indicators of world seaborne trade using raw data from the radio signals that the global vessel fleet emits for navigational safety purposes. We leverage different machine-learning techniques to identify port boundaries, construct port-to-port voyages, and estimate trade volumes at the world, bilateral and within-country levels. Our methodology achieves a good fit with official trade statistics for many countries and for the world in aggregate. We also show the usefulness of our approach for sectoral analyses of crude oil trade, and for event studies such as Hurricane Maria and the effect of measures taken to contain the spread of the novel coronavirus. Going forward, ongoing refinements of our algorithms, additional data on vessel characteristics, and country-specific knowledge should help improve the performance of our general approach for several country cases.
Keywords:
port visit; machine-learning technique; data from the Automatic Identification System; port call; trade activity; Imports; Exports; Oil; Machine learning; Trade balance; Global
Cover IMF Working Papers
Big Data on Vessel Traffic: Nowcasting Trade Flows in Real Time
Mr. Serkan Arslanalp
,
Mr. Marco Marini
, and
Ms. Patrizia Tumbarello
Vessel traffic data based on the Automatic Identification System (AIS) is a big data source for nowcasting trade activity in real time. Using Malta as a benchmark, we develop indicators of trade and maritime activity based on AIS-based port calls. We test the quality of these indicators by comparing them with official statistics on trade and maritime statistics. If the challenges associated with port call data are overcome through appropriate filtering techniques, we show that these emerging “big data” on vessel traffic could allow statistical agencies to complement existing data sources on trade and introduce new statistics that are more timely (real time), offering an innovative way to measure trade activity. That, in turn, could facilitate faster detection of turning points in economic activity. The approach could be extended to create a real-time worldwide indicator of global trade activity.
Keywords:
WP; AIS data; trade statistics; cargo load indicator; trade activity; trade data; port call data; Trade balance; Trade in goods; Imports; Big data; Exports; Global; Europe
Cover IMF Working Papers
The Measurement and Macro-Relevance of Corruption: A Big Data Approach
Sandile Hlatshwayo
,
Anne Oeking
,
Mr. Manuk Ghazanchyan
,
David Corvino
,
Ananya Shukla
, and
Mr. Lamin Y Leigh
Corruption is macro-relevant for many countries, but is often hidden, making measurement of it—and its effects—inherently difficult. Existing indicators suffer from several weaknesses, including a lack of time variation due to the sticky nature of perception-based measures, reliance on a limited pool of experts, and an inability to distinguish between corruption and institutional capacity gaps. This paper attempts to address these limitations by leveraging news media coverage of corruption. We contribute to the literature by constructing the first big data, cross-country news flow indices of corruption (NIC) and anti-corruption (anti-NIC) by running country-specific search algorithms over more than 665 million international news articles. These indices correlate well with existing measures of corruption but offer additional richness in their time-series variation. Drawing on theory from the corporate finance and behavioral economics literature, we also test to what extent news about corruption and anti-corruption efforts affects economic agents’ assessments of corruption and, in turn, economic outcomes. We find that NIC shocks appear to negatively impact both financial (e.g., stock market returns and yield spreads) and real variables (e.g., growth), albeit with some country heterogeneity. On average, NIC shocks lower real per capita GDP growth by 3 percentage points over a two-year period, illustrating persistence in the effect of such shocks. Conversely, there is suggestive evidence that anti-NIC efforts appear to have a sustained positive macro impact only when paired with meaningful institutional strengthening, proxied by capacity development efforts.
Keywords:
WP; NIC shock; anti-corruption effort; NIC country; corruption; anti-corruption; capacity development; big data; text analysis; event study; reform program; NIC measure; NIC level; Auditing; Global
Cover IMF Working Papers
The Adjustment to Commodity Price Shocks in Chile, Colombia, and Peru
Mr. Francisco Roch
This paper presents a comparative analysis of the macroeconomic adjustment in Chile, Colombia, and Peru to commodity terms-of-trade shocks. The study is done in two steps: (i) an analysis of the impulse responses of key macroeconomic variables to terms-of-trade shocks and (ii) an event study of the adjustment to the recent decline in commodity prices. The experiences of these countries highlight the importance of flexible exchange rates to help with the adjustment to lower commodity prices, and staying vigilant in addressing depreciation pressures on inflation through tightening monetary policies. On the fiscal front, evidence shows that greater fiscal space, like in Chile and Peru, gives more room for accommodating terms-of-trade shocks.
Keywords:
WP; commodity price; commodity; Chile; Peru; Commodity Prices; Fiscal Policy; Flexible Exchange Rates; Colombia; Peru t; commodity exporters' emerging economies; oil price decline; large commodity price shock; shock to commodity price; country-specific commodity price index; propagation mechanism of commodity price shock; contribution of commodity price; effects of commodity-price fluctuation; Colombia t; adjustment to commodity price; Commodity price shocks; Current account; Technology transfer; Current account deficits; Sub-Saharan Africa
Cover IMF Working Papers
Terms-of-Trade Cycles and External Adjustment
Gustavo Adler
,
Mr. Nicolas E Magud
, and
Alejandro M. Werner
We study the process of external adjustment to large terms-of-trade level shifts—identified with a Markov-switching approach—for a large set of countries during the period 1960–2015. We find that adjustment to these shocks is relatively fast. Current accounts experience, on average, a contemporaneous variation of only about ½ of the magnitude of the price shock—indicating a significant volume offset—and a full adjustment within 3–4 years. Dynamics are largely symmetric for terms-of-trade booms and busts, as well as for advanced and emerging market economies. External adjustment is driven primarily by offsetting shifts in domestic demand, as opposed to variations in output (also reflected in the response of import rather than export volumes), indicating a strong income channel at play. Exchange rate flexibility appears to have played an important buffering role during booms, but less so during busts; while international reserve holdings have been a key tool for smoothing the adjustment process.
Keywords:
WP; commodity exporter; current account balance; exchange rate regime; terms of trade; external adjustment; current account; commodity importer; imports volume; current account response; current account dynamics; commodity price swing; Technology transfer; Exchange rate arrangements; Adjustment process; Exchange rate flexibility; Global