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Sub-Saharan African countries are exposed to spillovers from global financial variables, but the impact on economic activity is more significant in more financially developed economies. Generalized impulse responses from a GVAR exercise demonstrate how the CBOE volatility index (VIX) and credit conditions around the globe impact a subset of sub-Saharan African economies and regions. The estimated relationships suggest that the effect of global uncertainty is more pervasive in exports, with the impact on economic and lending activities being mixed. The channels of transmission include the effects of global financial variables on commodity prices and on trading-partner’s macroeconomic and financial variables. The analysis suggests that shocks to credit conditions in the euro area and the U.S. have not significantly affected local lending conditions or economic activity in sub-Saharan Africa during 1991-2011, except perhaps in South Africa.
Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on long memory and fractional integration, which are embedded into the general framework. It presents the general theory of time series, including some issues that are not treated in other books on time series, such as ergodicity, persistence versus memory, asymptotic properties of the periodogram, and Whittle estimation. Further chapters address the general functional ...
The paper examines the transmission of business cycle fluctuations and credit conditions from advanced and emerging market economies to Low-Income Developing Countries (LIDCs), using a global vector autoregressive (GVAR) framework and related countryspecific error correction models. We compile a dataset on bank credit, exports, output, and real effective exchange rate for 24 LIDCs and 16 Advanced and Emerging Markets, accounting for 74 percent of World GDP, from 1990Q1 to 2013Q4. Impulse response analyses show that business cycles in oil- and commodity-exporting, as well as frontier LIDCs are more synchronized with those in emerging market economies. Furthermore, credit conditions in the US seem to have a significant impact on exports and real economic activity in LIDCs, while these variables are basically unresponsive to credit availability in emerging markets or economies in other parts of the world.
Economic growth in sub-Saharan Africa this year is set to drop to its lowest level in more than 20 years, reflecting the adverse external environment, and a lackluster policy response in many countries. However, the aggregate picture is one of multispeed growth: while most of non-resource-intensive countries—half of the countries in the region—continue to perform well, as they benefit from lower oil prices, an improved business environment, and continued strong infrastructure investment, most commodity exporters are under severe economic strains. This is particularly the case for oil exporters whose near-term prospects have worsened significantly in recent months. Sub-Saharan Africa remains a region of immense economic potential, but policy adjustment in the hardest-hit countries needs to be enacted promptly to allow for a growth rebound.
The sharp decline in oil and other commodity prices have adversely impacted sub-Saharan Africa. Nevertheless, the region is projected to register another year of solid economic performance. In South Africa, however, growth is expected to remain lackluster, while in Guinea, Liberia, and Sierra Leone the Ebola outbreak continues to exact a heavy economic and social toll. This report also considers how sub-Saharan Africa can harness the demographic dividend from an unprecedented increase in the working age population, as well as the strength of the region's integration into global value chains.
Volumes 45a and 45b of Advances in Econometrics honor Professor Joon Y. Park, who has made numerous and substantive contributions to the field of econometrics over a career spanning four decades since the 1980s and counting.
Economic growth in sub-Saharan Africa as a whole has fallen to its lowest level in 15 years, though with large variation among countries in the region. The sharp decline in commodity prices has severely strained many of the largest economies, including oil exporters Angola and Nigeria, and other commodity exporters, such as Ghana, South Africa, and Zambia. At the same time, the decline in oil prices has helped other countries continue to show robust growth, including Kenya and Senegal. A strong policy response to the terms-of-trade shocks is critical and urgent in many countries. This report also examines sub-Saharan Africa’s vulnerability to commodity price shocks, and documents the substantial progress made in financial develop, especially financial services based on mobile technologies.
The purpose of this book is to establish a connection between the traditional field of empirical economic research and the emerging area of empirical financial research and to build a bridge between theoretical developments in these areas and their application in practice. Accordingly, it covers broad topics in the theory and application of both empirical economic and financial research, including analysis of time series and the business cycle; different forecasting methods; new models for volatility, correlation and of high-frequency financial data and new approaches to panel regression, as well as a number of case studies. Most of the contributions reflect the state-of-art on the respective subject. The book offers a valuable reference work for researchers, university instructors, practitioners, government officials and graduate and post-graduate students, as well as an important resource for advanced seminars in empirical economic and financial research.
This book presents a selection of peer-reviewed contributions on the latest developments in time series analysis and forecasting, presented at the 7th International Conference on Time Series and Forecasting, ITISE 2021, held in Gran Canaria, Spain, July 19-21, 2021. It is divided into four parts. The first part addresses general modern methods and theoretical aspects of time series analysis and forecasting, while the remaining three parts focus on forecasting methods in econometrics, time series forecasting and prediction, and numerous other real-world applications. Covering a broad range of topics, the book will give readers a modern perspective on the subject. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.
This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes. This introduction is elementary and rigorous at the same time. On the one hand it gives a basic and illustrative presentation of the rele...