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Author: Ben Craig
Publisher: International Monetary Fund
ISBN: 1475536704
Category : Business & Economics
Languages : en
Pages : 34
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Book Description
This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks' exposures, including rich and hierarchical structures, based on but not limited to geographical proximity, small world features, regional homophily, and a core-periphery structure.
Author: Ben Craig
Publisher: International Monetary Fund
ISBN: 1475536704
Category : Business & Economics
Languages : en
Pages : 34
Get Book Here
Book Description
This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks' exposures, including rich and hierarchical structures, based on but not limited to geographical proximity, small world features, regional homophily, and a core-periphery structure.
Author: Ben Craig
Publisher: International Monetary Fund
ISBN: 1475537115
Category : Business & Economics
Languages : en
Pages : 34
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Book Description
This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks' exposures, including rich and hierarchical structures, based on but not limited to geographical proximity, small world features, regional homophily, and a core-periphery structure.
Author: Ben R. Craig
Publisher:
ISBN:
Category : Banks and banking, International
Languages : en
Pages :
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Book Description
Author: International Monetary Fund. Monetary and Capital Markets Department
Publisher: International Monetary Fund
ISBN: 1475547587
Category : Business & Economics
Languages : en
Pages : 162
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Book Description
The current report finds that, despite an improvement in economic prospects in some key advanced economies, new challenges to global financial stability have arisen. The global financial system is being buffeted by a series of changes, including lower oil prices and, in some cases, diverging growth patterns and monetary policies. Expectations for rising U.S. policy rates sparked a significant appreciation of the U.S. dollar, while long term bond yields in many advanced economies have decreased—and have turned negative for almost a third of euro area sovereign bonds—on disinflation concerns and the prospect of continued monetary accommodation. Emerging markets are caught in these global cross currents, with some oil exporters and other facing new stability challenges, while others have gained more policy space as a result of lower fuel prices and reduced inflationary pressures. The report also examines changes in international banking since the global financial crisis and finds that these changes are likely to promote more stable bank lending in host countries. Finally, the report finds that the asset management industry needs to strengthen its oversight framework to address financial stability risks from incentive problems between end-investors and portfolio managers and the risk of runs due to liquidity mismatches.
Author: International Monetary Fund. Research Dept.
Publisher: International Monetary Fund
ISBN: 1475567081
Category : Business & Economics
Languages : en
Pages : 16
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Book Description
The Research Summaries in this issue of the IMF Research Bulletin cover “Tax Capacity and Growth” (by Vitor Gaspar, Laura Jaramillo, and Philippe Wingender), and “U.S. Shale Revolution and Its Spillover Effects on the Global Economy” (Ravi Balakrishnan, Keiko Honjo, Akito Matsumoto, and Andrea Pescatori). The Q&A coauthored by Amadou Sy and Mariama Sow covers “Seven Questions about the Relationship between Country Finance and Governance.” A listing of recent IMF Working Papers, Staff Discussion Notes, and Recommended Readings from IMF Publications is included in the IMF Research Bulletin. Readers can also find news on free-to-view articles from IMF Economic Review and a call for conference papers in this issue of the Bulletin.
Author: Aman Ullah
Publisher: CRC Press
ISBN: 1482269902
Category : Business & Economics
Languages : en
Pages : 646
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Book Description
This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This work offers discussions on such areas as the function of statistics in aggregation, income inequality, poverty, health, spatial econometrics, panel and survey data, bootstrapping and time series.
Author: Ananth, Christo
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 542
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Book Description
The multidisciplinary applications of artificial intelligence (AI) and quantum networking drive transformations across various fields, providing new technology, scientific discoveries, and industry improvements. AI's capability to analyze and interpret data along with quantum networking's secure communication, enables breakthroughs in sectors such as healthcare, finance, and logistics. Continued research into this integration may offer opportunities for innovative models and simulations, improved decision-making, and the development of interdisciplinary collaboration. Multidisciplinary Applications of AI and Quantum Networking explores the application of artificial intelligence and quantum computing across multiple industries, disciplines, and sectors. A variety of intelligent tools and technologies like machine learning, networks, augmented and virtual technology, and artificial intelligence are examined for their usefulness in business, medicine, engineering, marketing, and infrastructure. This book covers topics such as quantum computing, intrusion detection, and web technologies, and is a useful resource for computer engineers, business owners, security professionals, researchers, scientists, and academicians.
Author: Áureo de Paula
Publisher: Emerald Group Publishing
ISBN: 1838675779
Category : Business & Economics
Languages : en
Pages : 353
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Book Description
Showcasing fresh methodological and empirical research on the econometrics of networks, and comprising both theoretical, empirical and policy papers, the authors in this volume bring together a wide range of perspectives to facilitate a dialogue between academics and practitioners for better understanding this groundbreaking field.
Author: Foued Saâdaoui
Publisher: Springer Nature
ISBN: 3031365704
Category : Business & Economics
Languages : en
Pages : 338
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Book Description
This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinary areas, such as machine learning and business analytics, can bring forward a shared vision on the benefits of data science from the research point of view to the evaluation of policies. It highlights how data science is reshaping the business sector. It includes examples of novel big data sources and some successful applications on the use of advanced machine learning, natural language processing, networks analysis, and time series analysis and forecasting, among others, in the banking and finance. It includes several case studies where innovative data science models is used to analyse, test or model some crucial phenomena in banking and finance. At the same time, the book is making an appeal for a further adoption of these novel applications in the field of economics and finance so that they can reach their full potential and support policy-makers and the related stakeholders in the transformational recovery of our societies. The book is for stakeholders involved in research and innovation in the banking and financial sectors, but also those in the fields of computing, IT and managerial information systems, helping through this new theory to better specify the new opportunities and challenges. The many real cases addressed in this book also provide a detailed guide allowing the reader to realize the latest methodological discoveries and the use of the different Machine Learning approaches (supervised, unsupervised, reinforcement, deep, etc.) and to learn how to use and evaluate performance of new data science tools and frameworks
Author: James LeSage
Publisher: CRC Press
ISBN: 1420064258
Category : Business & Economics
Languages : en
Pages : 362
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Book Description
Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observat
