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This book discusses wide topics related to current issues in economic growth and development, international trade, macroeconomic and financial stability, inflation, monetary policy, banking, productivity, agriculture and food security. It is a collection of seventeen research papers selected based on their quality in terms of contemporary topic, newness in the methodology, and themes. All selected papers have followed an empirical approach to address research issues, and are segregated in five parts. Part one covers papers related to fiscal and price stability, monetary policy and economic growth. The second part contains works related to financial integration, capital market volatility and macroeconomic stability. Third part deals with issues related to international trade and economic growth. Part four covers topics related to productivity and firm performance. The final part discusses issues related to agriculture and food security. The book would be of interest to researchers, academicians as a ready reference on current issues in economics and finance.
First published in 2001, Causality in Macroeconomics addresses the long-standing problems of causality while taking macroeconomics seriously. The practical concerns of the macroeconomist and abstract concerns of the philosopher inform each other. Grounded in pragmatic realism, the book rejects the popular idea that macroeconomics requires microfoundations, and argues that the macroeconomy is a set of structures that are best analyzed causally. Ideas originally due to Herbert Simon and the Cowles Commission are refined and generalized to non-linear systems, particularly to the non-linear systems with cross-equation restrictions that are ubiquitous in modern macroeconomic models with rational expectations (with and without regime-switching). These ideas help to clarify philosophical as well as economic issues. The structural approach to causality is then used to evaluate more familiar approaches to causality due to Granger, LeRoy and Glymour, Spirtes, Scheines and Kelly, as well as vector autoregressions, the Lucas critique, and the exogeneity concepts of Engle, Hendry and Richard.
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series. It contains the most important approaches to analyze time series which may be stationary or nonstationary.
Following theseminal Palgrave Handbook of Econometrics: Volume I , this second volume brings together the finestacademicsworking in econometrics today andexploresapplied econometrics, containing contributions onsubjects includinggrowth/development econometrics and applied econometrics and computing.
Causation is a central topic in many areas of philosophy, including metaphysics, epistemology, philosophy of mind, ethics, history of philosophy, and philosophy of science. Here, 37 specially written chapters provide the most comprehensive critical guide available to issues surrounding causation.
We find nonlinear feedback between the stock market and certain macroeconomic factors. This evidence calls into question the adequacy of these factors as a basis for a linear pricing model. It also means that the interaction between the economy and the stock market is more complicated than given by the simple relationship in Chen, Roll and Ross (1986). It also suggests that the univariate evidence for nonlinear dynamics in the stock market may be due to the complicated relationship between the macroeconomy and the stock market.
Contrary to common belief, macroeconomics is not merely a theory of aggregates, and cannot be constructed from individual behaviour. Both nationally and internationally, there are economic laws that are logically independent of economic agents’ behaviour. These are the macroeconomic foundations of macroeconomics. Presenting cutting-edge material, Alvaro Cencini explores these foundations, and shows that the introduction of money entails economics being interpreted conceptually not mathematically. His innovative book provides the elements for a new approach by applying the most recent results of monetary analysis to the study of national and international economics. It covers recent progress in monetary theory, provides the reader with a greater understanding of the subject, and will be essential reading for economic students as well as a valuable resource for economists.
Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.
Draws together the various strands and schools of thought to provide a unique overview of the methods employed in the research and study of macroeconomics. Demonstrates the relevance and vitality of macroeconomics beyond the idea of microeconomic foundations.
Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies. - Provides a rigorous statistical framework for modeling stress test in line with U.S. Federal Reserve FRB CCAR (Comprehensive Capital Analysis Review), U.K. PRA (Prudential Regulatory Authority), EBA (European Baning Authorithy) and comply with Basel Accord requirements - Follows an integrated bottom-up approach central in the most advanced risk modelling practice - Provides numerous sample codes in Matlab and R