Managing Volatility and Crises: A Practitioners Guide Overview

Working Paper: NBER ID: w10602

Authors: Joshua Aizenman; Brian Pinto

Abstract: This overview introduces and summarizes the findings of a practical volume on managing volatility and crises. The interest in these topics stems from the growing recognition that non-linearities tend to magnify the impact of economic volatility leading to large output and economic growth costs, especially in poor countries. In these circumstances, good times do not offset the negative impact of bad times, leading to permanent negative effects. Such asymmetry is often reinforced by incomplete markets, sovereign risk, divisive politics, inefficient taxation, procyclical fiscal policy and weak financial market institutions factors that are more problematic in developing countries. The same fundamental phenomena that make it difficult to cope with volatility also drive crises. Hence, the volume also focuses on the prevention and management of crises. It is a user-friendly compilation of empirical and policy results aimed at development policy practitioners divided into three modules: (i) the basics of volatility and its impact on growth and poverty; (ii) managing volatility along thematic lines, including financial sector and commodity price volatility; and (iii) management and prevention of macroeconomic crises, including a cross-country study, lessons from the debt defaults of the 1980s and 1990s and case studies on Argentina and Russia.

Keywords: Volatility; Economic Growth; Crises; Poverty; Policy Management

JEL Codes: F15; F21; F34; F43


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Volatility (E32)Growth (O00)
Institutional Quality (L15)Volatility (E32)
Fiscal Policies (H39)Volatility (E32)
Weak Institutions (O17)Growth (O00)
Crisis Volatility (E32)Growth (O00)
Negative Shocks (E32)Growth (O00)
Volatility Management (C58)Crises (H12)

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