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Macroeconomic analysis in Lebanon presents a distinct challenge. For example, long delays in the publication of GDP data mean that our analysis often relies on proxy variables, and resembles an extended version of the “nowcasting” challenge familiar to many central banks. Addressing this problem—and mindful of the pitfalls of extracting information from a large number of correlated proxies—we explore some recent techniques from the machine learning literature. We focus on two popular techniques (Elastic Net regression and Random Forests) and provide an estimation procedure that is intuitively familiar and well suited to the challenging features of Lebanon’s data.
Macroeconomics --- Intelligence (AI) & Semantics --- Forecasting --- Simulation Methods --- Statistical Decision Theory --- Operations Research --- Model Evaluation and Selection --- Forecasting and Other Model Applications --- Computational Techniques --- Technological Change: Choices and Consequences --- Diffusion Processes --- Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data) --- Machine learning --- Economic growth --- Economic Forecasting --- Cyclical indicators --- Technology --- Economic forecasting --- Business cycles --- Lebanon
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The paper offers a non-probabilistic framework for representation of uncertainty in the context of a simple linear-quadratic model of fiscal adjustment. Instead of treating model disturbances as random variables with known probability distributions, it is only assumed that they belong to some pre-specified compact set. Such an approach is appropriate when the decision maker does not have enough information to form probabilistic beliefs or when considerations for robustness are important. Solution of the model in the minimax sense when disturbance sets are ellipsoids is obtained and the application of the method is illustrated using the example of Portugal.
Fiscal policy --- Tax policy --- Taxation --- Economic policy --- Finance, Public --- Econometric models. --- Government policy --- Macroeconomics --- Public Finance --- Production and Operations Management --- Statistical Decision Theory --- Operations Research --- Optimization Techniques --- Programming Models --- Dynamic Analysis --- Computational Techniques --- Fiscal Policy --- Macroeconomics: Production --- Debt --- Debt Management --- Sovereign Debt --- Public finance & taxation --- Output gap --- Fiscal multipliers --- Fiscal stance --- Public debt --- Fiscal consolidation --- Production --- Economic theory --- Debts, Public --- Portugal
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Oil-macro-financial linkages in Saudi Arabia are analyzed by applying panel econometric frameworks (multivariate and vector autoregression) to maceoeconomic and bank-level balance sheet data for 9 banks spanning 1999–2014. Lower growth of oil prices and non-oil private sector output leads to slower credit and deposit growth and higher nonperforming loan ratios, with feedback loops within bank balance sheets which in turn dampens economic activity. U.S. interest rates are not found to be a key determinant.
Accounting --- Banks and Banking --- Macroeconomics --- Money and Monetary Policy --- Industries: Financial Services --- Investments: Stocks --- Computational Techniques --- Financial Markets and the Macroeconomy --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Financial Institutions and Services: Government Policy and Regulation --- Energy: Demand and Supply --- Prices --- Monetary Policy, Central Banking, and the Supply of Money and Credit: General --- Public Administration --- Public Sector Accounting and Audits --- Pension Funds --- Non-bank Financial Institutions --- Financial Instruments --- Institutional Investors --- Finance --- Monetary economics --- Banking --- Financial reporting, financial statements --- Investment & securities --- Oil prices --- Nonperforming loans --- Credit --- Financial statements --- Financial institutions --- Money --- Public financial management (PFM) --- Stocks --- Loans --- Banks and banking --- Finance, Public --- Saudi Arabia
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This paper examines the links between global oil price movements and macroeconomic and financial developments in the GCC. Using a range of multivariate panel approaches, including a panel vector autoregression approach, it finds strong empirical evidence of feedback loops between oil price movements, bank balance sheets, and asset prices. Empirical evidence also suggests that bank capital and provisioning have behaved countercyclically through the cycle.
Banks and banking --- Petroleum products --- Econometric models. --- Prices --- Asset requirements --- Banking --- Banks and Banking --- Banks --- Business cycles --- Business Fluctuations --- Capital adequacy requirements --- Computational Techniques --- Credit --- Cycles --- Depository Institutions --- Energy: Demand and Supply --- Finance --- Financial cycles --- Financial Institutions and Services: Government Policy and Regulation --- Financial institutions --- Financial Markets and the Macroeconomy --- Financial regulation and supervision --- Financial sector policy and analysis --- Financial services law & regulation --- Industries: Financial Services --- Loans --- Macroeconomics --- Micro Finance Institutions --- Monetary economics --- Monetary Policy, Central Banking, and the Supply of Money and Credit: General --- Money and Monetary Policy --- Money --- Mortgages --- Nonperforming loans --- Oil prices --- United Arab Emirates
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