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How can information on financial conditions be used to better understand macroeconomic developments and improve macroeconomic projections? We investigate this question for France by constructing country-specific financial conditions indices (FCIs) that are tailored to movements in GDP, investment, private consumption and exports respectively. We rely on a VAR approach to estimate the weights of the financial components of each FCI, including equity market returns (which turn out having a relatively strong weight across all FCIs), private sector risk premiums, long-term interest rates, and banks’ credit standards. We find that the tailored FCIs are useful as leading indicators of GDP, investment, and exports, and as a contemporaneous indicator of private consumption. Credit volumes turn out to be lagging indicators of growth. The indices inform us on macro-financial linkages in France and are used to improve the accuracy of quarterly forecasting models and high-frequency “nowcast” models. We show that FCI-augmented models could have significantly improved forecasts during and after the global financial crisis.
This paper assesses and disseminates experiences and lessons from low-income countries (LICs) in Sub-Saharan Africa that were selected by the Africa Department in 2015-16 as pilots for enhanced analysis of macro-financial linkages in Article IV staff reports. The paper focuses on the common characteristics across the pilot countries and highlights the tools used in the analysis, the challenges encountered, and the solutions deployed in overcoming them.

France

International Monetary Fund. European Dept.

Published: 2017-09-21

Total Pages: 64


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This 2017 Article IV Consultation highlights that the economic recovery is picking up in France, with real GDP growth projected to reach 1.6 percent in 2017 and 1.8 percent in 2018. Growth is primarily driven by buoyant corporate investment, a rebound in residential construction, and solid consumer demand. Net exports, by contrast, have been a drag on growth, and France’s external position is assessed to be weaker than implied by economic fundamentals. Private sector job creation has begun to accelerate moderately and the unemployment rate has begun to recede moderately from its 10 percent post-crisis mark. Medium-term prospects will critically depend on the implementation of the reform agenda.
This Selected Issues paper develops a Financial Conditions Index (FCI) for Mauritius—an instrument to gauge the operational state of the financial sector and predict real economy activity. The evolution of Mauritius’ financial services sector has been supported by a vibrant offshore corporate sector. Given the strong macro-financial linkages, it is imperative to closely monitor domestic financial developments. Financial developments are broader than monetary developments depicting money supply and interest rates. The FCI is a robust predictor of real GDP growth in Mauritius. The FCI can also help inform macroprudential policy decisions. Decisions on setting the countercyclical capital buffer of Basel III could be informed by analyzing developments in the FCI. As historically Mauritius has not experienced drastic swings in financial credit, testing the constructed FCIs for predicting boom-bust episodes is difficult. Nevertheless, the FCI signaled lax financial conditions in 2009 and again in 2012 that likely contributed to accelerated credit growth in 2012–2013 and a subsequent acceleration in nonperforming loans during 2014–2016.
Selected Issues
This book deals with the challenges of macro financial linkages in the emerging markets.
The growth-at-risk (GaR) framework links current macrofinancial conditions to the distribution of future growth. Its main strength is its ability to assess the entire distribution of future GDP growth (in contrast to point forecasts), quantify macrofinancial risks in terms of growth, and monitor the evolution of risks to economic activity over time. By using GaR analysis, policymakers can quantify the likelihood of risk scenarios, which would serve as a basis for preemptive action. This paper offers practical guidance on how to conduct GaR analysis and draws lessons from country case studies. It also discusses an Excel-based GaR tool developed to support the IMF’s bilateral surveillance efforts.
This is the third of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit for studying both own-country and cross-country linkages. In this paper, we estimate a small quarterly projection model of the US, Euro Area, and Japanese economies that incorporates oil prices and allows us to trace out the effects of shocks to oil prices. The model is estimated with Bayesian techniques. We show how the model can be used to construct efficient baseline forecasts that incorporate judgment imposed on the near-term outlook.
We study the forecasting power of financial variables for macroeconomic variables for 62 countries between 1980 and 2013. We find that financial variables such as credit growth, stock prices and house prices have considerable predictive power for macroeconomic variables at one to four quarters horizons. A forecasting model with financial variables outperforms the World Economic Outlook (WEO) forecasts in up to 85 percent of our sample countries at the four quarters horizon. We also find that cross-country panel models produce more accurate out-of-sample forecasts than individual country models.
MCM conducted a survey in December 2010 to take stock of international experiences with financial stability and the evolving macroprudential policy framework. The survey was designed to seek information in three broad areas: the institutional setup for macroprudential policy, the analytical approach to systemic risk monitoring, and the macroprudential policy toolkit. The survey was sent to 63 countries and the European Central Bank (ECB), including all countries in the G-20 and those subject to mandatory Financial Sector Assessment Programs (FSAPs). The target list is designed to cover a broad range of jurisdictions in all regions, but more weight is given to economies that are systemically important (see Annex for details). The response rate is 80 percent. This note provides a summary of the survey’s main findings.