Download Free Contagion Phenomena With Applications In Finance Book in PDF and EPUB Free Download. You can read online Contagion Phenomena With Applications In Finance and write the review.

Much research into financial contagion and systematic risks has been motivated by the finding that cross-market correlations (resp. coexceedances) between asset returns increase significantly during crisis periods. Is this increase due to an exogenous shock common to all markets (interdependence) or due to certain types of transmission of shocks between markets (contagion)? Darolles and Gourieroux explain that an attempt to convey contagion and causality in a static framework can be flawed due to identification problems; they provide a more precise definition of the notion of shock to strengthen the solution within a dynamic framework. This book covers the standard practice for defining shocks in SVAR models, impulse response functions, identitification issues, static and dynamic models, leading to the challenges of measurement of systematic risk and contagion, with interpretations of hedge fund survival and market liquidity risks - Features the standard practice of defining shocks to models to help you to define impulse response and dynamic consequences - Shows that identification of shocks can be solved in a dynamic framework, even within a linear perspective - Helps you to apply the models to portfolio management, risk monitoring, and the analysis of financial stability
This paper presents a novel approach to investigate and model the network of euro area banks’ large exposures within the global banking system. Drawing on a unique dataset, the paper documents the degree of interconnectedness and systemic risk of the euro area banking system based on bilateral linkages. We develop a Contagion Mapping model fully calibrated with bank-level data to study the contagion potential of an exogenous shock via credit and funding risks. We find that tipping points shifting the euro area banking system from a less vulnerable state to a highly vulnerable state are a non-linear function of the combination of network structures and bank-specific characteristics.
No sooner had the Asian crisis broken out in 1997 than the witch-hunt started. With great indignation every Asian economy pointed fingers. They were innocent bystanders. The fundamental reason for the crisis was this or that - most prominently contagion - but also the decline in exports of the new commodities (high-tech goods), the steep rise of the dollar, speculators, etc. The prominent question, of course, is whether contagion could really have been the key factor and, if so, what are the channels and mechanisms through which it operated in such a powerful manner. The question is obvious because until 1997, Asia's economies were generally believed to be immensely successful, stable and well managed. This question is of great importance not only in understanding just what happened, but also in shaping policies. In a world of pure contagion, i.e. when innocent bystanders are caught up and trampled by events not of their making and when consequences go far beyond ordinary international shocks, countries will need to look for better protective policies in the future. In such a world, the international financial system will need to change in order to offer better preventive and reactive policy measures to help avoid, or at least contain, financial crises.
Brings together new research that lays out the current state of contagion studies, from the perspective of media studies, monster studies, and the medical humanities. Offers fresh perspectives on contagion studies from disciplines such as the social sciences and the medical humanities, introducing new methods of collaboration and avenues of research, and demonstrating how these disciplines have already been working in parallel for several decades. Covers a wide variety of international media and contexts, including literature, film, television, public policy, and social networks. Includes key, recent case studies (including public health documents and the popular Netflix series Santa Clarita Diet) that have not yet been analysed anywhere else in the field. Bucks the current trend of going back to plague literature and historical plagues in the search for meaning to address current and late-20th century epidemics, diseases, and monsters.
This textbook investigates the linkages between energy-commodities markets, financial markets and the economy and incorporates different aspects of the energy market, organizing the relevant material in two distinct parts. Part one includes studies that relate to the impact of developments in the various energy-commodities markets (e.g., oil, gas) both on financial markets and economic growth, including studies that consider the impact of energy prices on financial markets or the effect on specific macroeconomic variables, such as interest rates, inflation, GDP. Part two discusses developments in the energy market from a climate change or green financing point of view, further considering issues that relate to climate finance, green investing, as well as policy making relating to GHG Emissions. By introducing a multitude of topics in energy finance, this textbook provides a holistic view of the market and its importance
This book provides empirical applications of macroeconometric methods through discussions on key issues in the Indian economy. It deals with issues of topical relevance in the arena of macroeconomics. The aim is to apply time series and financial econometric methods to macroeconomic issues of an emerging economy such as India. The data sources are given in each chapter, and students and researchers may replicate the analyses.The book is divided into three parts—Part I: Macroeconomic Modelling and Policy; Part II: Forecasting the Indian Economy and Part III: Business Cycles and Global Crises. It provides a holistic understanding of the techniques with each chapter delving into a relevant issue analysed using appropriate methods—Chapter 1: Introduction; Chapter 2: Macroeconomic Modelling and Bayesian Methods; Chapter 3: Monetary Policy Framework in India; Chapter 4: Determinants of Yields on Government Securities in India; Chapter 5: Monetar y Transmission in the Indian Economy; Chapter 6: India’s Bilateral Export Growth and Exchange Rate Volatility: A Panel GMM Approach; Chapter 7: Aggregate and Sectoral Productivity Growth in the Indian Economy: Analysis and Determinants; Chapter 8: Forecasting the INR/USD Exchange Rate: A BVAR Framework; Chapter 9: Forecasting India’s Inflation in a Data-Rich Environment: A FAVAR Study; Chapter 10: A Structural Macroeconometric Model for India; Chapter 11: International Synchronization of Growth Rate Cycles: An Analysis in Frequency Domain; Chapter 12: Inter-Linkages Between Asian and U.S. Stock Market Returns: A Multivariate GARCH Analysis; Chapter 13: The Increasing Synchronization of International Recessions. Since the selection of issues is from macroeconomic aspects of the Indian economy, the book has wide applications and is useful for students and researchers of fields such as applied econometrics, time series econometrics, financial econometrics, forecasting methods and macroeconomics.
Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and spectral density functions, and in discrimination. Chapters in this release cover Parametric, nonparametric, locally parametric, Dependence, Local Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more. Additional chapters explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation, Conditional density estimation, The local Gaussian partial correlation, Regression and conditional regression quantiles, and a A local Gaussian Fisher discriminant. - Reviews local dependence modeling with applications to time series and finance markets - Introduces new techniques for density estimation, conditional density estimation, and tests of conditional independence with applications in economics - Evaluates local spectral analysis, discovering hidden frequencies in extremes and hidden phase differences - Integrates textual content with three useful R packages
This book continues the discussion from Volume I on economic, fiscal, and financial crises in world history that have had a great impact on the entire world and the fiscal measures taken by governments to combat each crisis. Such events are often described as black swans, a concept introduced by Economist and Risk Analyst Nassim Nicholas Taleb in the book Fooled By Randomness in 2001, in reference to events that were thought to be impossible but had a huge impact when they did happen. The beginning of this book notes that crises are catastrophic periods when the consequences of economic mistakes made by governments are reflected to the public. Although economic crises are seen as opportunities in some cases, they have created a burden for the people. Some economic crises even triggered the world war. A recent example, Adolf Hitler, was seen as a hope of salvation in Germany due to the Great Depression and was brought to power. The twentieth century, when two great world wars took place on the stage of history, is the witness of major economic crises as well as wars. These crises have caused social and economic paradigm shifts to be experienced much faster and more effectively than the previous centuries. The transformation of the demand-oriented economic understanding created by the Great Depression in 1929 into an interventionist social state understanding, especially after the World War Two, increased the intervention of states in the socioeconomic field. In this period, the reconstruction of the countries, the development of social welfare services, the assurance of human rights, the acceleration of industrialization and development, and the economic growth and income growth of the countries resulted in the golden age enjoyed by the societies of the period. The interventionist social state, seen as a prescription and opportunity in the past crisis, was one of the cornerstones of the crisis in the last quarter of the century in the 1970s. Against interventionism, with the rise of neo-liberalism, financial liberalization, information society, and technological discoveries, globalization has become the new phenomenon of the age. This book examines in detail the causes, occurrences, and results of the twentieth-century crises.
There is an increased interest in integrating insights from the complexity sciences to studies of governance and policy. While the issue has been debated, and the term of ‘complexity’ has multiple and sometimes contested interpretations, it is also clear the field has spurred a number of interesting theoretical and empirical efforts. The book includes key thinkers in the field, elaborates on different analytical approaches in studying governance, institutions and policy in the face of complexity, and showcases empirical applications and insights.