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book (4)


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2016 (4)

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Book
Seeing in the Dark : A Machine-Learning Approach to Nowcasting in Lebanon
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ISBN: 1513569643 1475540973 1513568264 Year: 2016 Publisher: Washington, D.C. : International Monetary Fund,

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Abstract

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.


Book
Optimal Fiscal Adjustment under Uncertainty
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ISBN: 147554765X 1475561385 Year: 2016 Publisher: Washington, D.C. : International Monetary Fund,

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Abstract

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.


Book
An Empirical Investigation of Oil-Macro-Financial Linkages in Saudi Arabia
Author:
ISBN: 1498331386 1498331807 1498331270 9781498331272 9781498331388 9781498331807 Year: 2016 Publisher: Washington, D.C. : International Monetary Fund,

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Abstract

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.


Book
The Impact of Oil Prices on the Banking System in the GCC
Authors: --- ---
ISBN: 1475533055 Year: 2016 Publisher: Washington, D.C. : International Monetary Fund,

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Abstract

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.

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