Economic measures and concepts like GDP, inflation, business cycles and supply chains that were created decades ago are being disrupted and altered by technology.
The economics literature is replete with examples of monotone comparative statics; that is, scenarios where optimal decisions or equilibria in a parameterized collection of models vary monotonically with the parameter.
Environmental risk directly affects the financial stability of banks since they bear the financial consequences of the loss of liquidity of the entities to which they lend and of the financial penalties imposed resulting from the failure to comply with regulations and for actions taken that are harmful to the natural environment.
Introduces stochastic control and mathematical modelling to researchers and graduate students in applied mathematics, mathematical economics, and non-linear PDE theory.
This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research.
Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals.
Generative Künstliche Intelligenz beschreibt eine Klasse von KI-Systemen, die in der Lage sind, aus großen Datenmengen zu lernen und auf dieser Grundlage neue, bisher nicht gesehene Inhalte zu generieren, wie beispielsweise Texte, Bilder, Musik oder Videos.
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.
This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II).
Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories.
This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017.
Insbesondere die praktische Informatik lebt vom Ausprobieren verschiedener Lösungswege, dem Experimentieren mit Programmkonstrukten und Algorithmen, und allgemein vom "Selbermachen".
This book, which was first published in 1972, is not a collection of case-studies in cost-benefit analysis, of which there had been already several in use employing techniques of varying degrees of sophistication.
This book consists of two essays on new approaches for the Arbitrage Pricing Theory and the Present Value Model, and one essay on cross-sectional correlations in panel data.
The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.
Actuarial loss models are statistical models used by insurance companies to estimate the frequency and severity of future losses, set premiums, and reserve funds to cover potential claims.
This book provides an introductory treatment of time series econometrics, a subject that is of key importance to both students and practitioners of economics.
This volume is the result of the International IDNDR-Conference on Early Warning Systems for the Reduction of Natural Disasters, held at the Geo- ForschungsZentrum in Potsdam, Germany from 7-11 September 1998.
As the first volume of the two-volume Industrial Development in Modern China: Comparisons with Japan that studies the different paths of industrialization and economic modernization between China and Japan, this book analyzes the relationship between technological innovation and economic development in Japan before World War II.
Since the publication of the first edition of this book, the area of mathematical finance has grown rapidly, with financial analysts using more sophisticated mathematical concepts, such as stochastic integration, to describe the behavior of markets and to derive computing methods.
This textbook offers a comprehensive yet concise introduction to the theory behind price indices, covering the basics, historical background, necessary mathematical foundations, and contemporary cutting-edge theories.