The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.

The ASEAN 3 Bond Market Guide 2018: Viet Nam is an outcome of the strong support and kind contributions of ASEAN 3 Bond Market Forum members and experts, particularly those from the country. It is part of the ASEAN 3 Bond Market Guide series comprising a comprehensive explanation of the region's bond markets. The series provides relevant information such as the history, legal and regulatory framework, specific characteristics, and trading and transaction (including settlement systems) trends of markets in the region.

Most Pacific island countries appear to have avoided direct health impacts from the coronavirus disease (COVID-19). Yet, the pandemic highlights the need to strengthen their health and social protection systems. This edition of the Pacific Economic Monitor discusses the impacts of COVID-19 and provides an overview of other current economic and development issues in Pacific developing member countries of ADB.

Smart Economic Decision-Making in a Complex World is a fresh and reality-based perspective on decision-making with significant implications for analysis, self-understanding and policy. The book examines the conditions under which smart people generate outcomes that improve their place of work, their household and society. Within this work, the curious reader will find interesting open questions on many fascinating areas of current economic debate, including, the role of realistic assumptions robust model building, understanding how and when non-neoclassical behavior is best practice, why the assumption of smart decision-makers is best to understand and explain our economies and societies, and under what conditions individuals can make the best possible choices for themselves and society at large. Additional sections cover when and how efficiency is achieved, why inefficiencies can persist, when and how consumer welfare is maximized, and what benchmarks should be used to determine efficiency and rationality.

This is the true story about the future that few visionaries have the knowledge necessary to put together. In order to drive the development of technology and sustainability forward there will be a need for considerable investment and collective action. The need to drive large-scale development and transformation activity is usually overlooked when experts in narrow fields project present trends into the future. The foundation of our future has been laid, or maybe not, by past decisions and activities, or lack thereof, by politicians and their voters. The enemy has already been identified and many of us know that is it us, but few ofour leaders have a picture of the path forward that needs to be taken in order to create the future that many people already see as inevitable. We try to contribute on the basis of different pictures of how the future might be created, but large-scale changes cannot be achieved through small-scale activities. It took 400,000 Americans and almost ten years to send three men to the moon in 1969. The following facts may be noted: the transformation to electric mobility is still in its infancy; less than one per cent of cars are electric and the growth is very slow in most countries. Artificial intelligence is also at an early stage of development and the technologies necessary in order to make Industry 4.0 a reality are still too expensive to be applied on a large scale and by most companies. The same is true for the principles of the circular economy. So far mostly low-hanging fruit have been picked and the principles have not been developed to a point where they can be universally applied. In order to create the future that many already see as inevitable there is a need for substantial investment and even larger transformation programmes. If existing generations want to experience it, instead of something much worse, we need to get our act together and approach transformation in a systematic manner. This book presents a well-founded argument about the remedies of contemporary societal challenges, and offers a much needed, sobered-uplook at the complex endeavors that lie ahead. Larsson's book disentangles intricate concepts connected to technology, business, industry and society, and does it free from the jargon and romanticizing we often encounter in everyday conversation. - Professor Thomas Kalling at Lund University School of Economics & Management.

Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. "Portfolio Risk Analysis" provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective.

Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts.

This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.