A leading economist contends that the recent financial crisis was caused not by the failure of mainstream economics but by corrupted monetary data constructed without reference to economics.
Economists address key challenges facing the EU, including financial instability, welfare state reform, inadequate institutional framework, and global economic integration.
Introduccion a la econometria de series de tiempo es una obra disenada para servir como libro de texto durante un semestre lectivo a los estudiantes de Economia de nivel de pregrado que ya superaron con exito el curso econometrico introductorio, que trata los modelos de corte transversal tales como el modelo clasico de regresion lineal y sus variantes.
Die wirtschaftspolitischen Ereignisse der letzten Jahre haben uns eindrucksvoll vor Augen geführt, welche bedeutende Rolle die Finanzmärkte spielen: für die Weltwirtschaft, für einzelne Länder, letztlich für jeden Menschen.
Straight after its invention in the early sixties, the Kalman filter approach became part of the astronautical guidance system of the Apollo project and therefore received immediate acceptance in the field of electrical engineer- ing.
1Statistics of Financial Markets presents in a vivid yet concise style the necessary statistical and mathematical background for Financial Engineers and introduces to the main ideas in mathematical finance and financial statistics.
The volume on New Directions in Spatial Econometrics appeared in 1995 as one of the first in the then new Springer series on Advances in Spatial Sciences.
Generalized method of moments (GMM) estimation of nonlinear systems has two important advantages over conventional maximum likelihood (ML) estimation: GMM estimation usually requires less restrictive distributional assumptions and remains computationally attractive when ML estimation becomes burdensome or even impossible.
Policy evaluation and programme choice are important tools for informed decision-making, for the administration of active labour market programmes, training programmes, tuition subsidies, rehabilitation programmes etc.
The present study has been accepted as a doctoral thesis by the Depart- ment of Economics of the Johann Wolfgang Goethe-University in Frankfurt am Main.
Due to the scarcity of reliable data, the existing literature on default risk still displays an imbalance between theoretical and empirical contributions.
In recent years the so-called new economic geography and the issue of regional economic convergence have increasingly drawn the interest of economists to the empirical analysis of regional and spatial data.
This book has been prepared during my work as a research assistant at the Institute for Statistics and Econometrics of the Economics Department at the University of Bielefeld, Germany.
Exploiting the old maxim that "e;a picture is worth a thousand words,"e; scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays.
The field of climate econometrics has undergone rapid development in recent years, shaped by the growing demand for empirical methods that can rigorously assess the multifaceted interactions between the economy and the climate system.
The field of climate econometrics has undergone rapid development in recent years, shaped by the growing demand for empirical methods that can rigorously assess the multifaceted interactions between the economy and the climate system.
The field of climate econometrics has undergone rapid development in recent years, shaped by the growing demand for empirical methods that can rigorously assess the multifaceted interactions between the economy and the climate system.
The field of climate econometrics has undergone rapid development in recent years, shaped by the growing demand for empirical methods that can rigorously assess the multifaceted interactions between the economy and the climate system.
Algorithmic Trading via AI/Machine Learning with R aims to demonstrate how algorithmic trading can empower retail traders to compete more effectively in markets long dominated by institutional giants.
Covering everything from the fundamentals of financial markets' structure to the nuances of fintech, derivatives and commodities, this textbook offers readers a comprehensive view of the functions of the global financial markets from an intuitive and hands-on perspective.
Algorithmic Trading via AI/Machine Learning with R aims to demonstrate how algorithmic trading can empower retail traders to compete more effectively in markets long dominated by institutional giants.
This Second Edition of Performance Evaluation and Attribution Volume Two: Analysis and Reporting explains the practical aspects of building or interpreting a top-to-bottom performance attribution system applicable to many asset classes, providing a toolkit of attribution techniques for analyzing the performance of portfolio managers.
Covering everything from the fundamentals of financial markets' structure to the nuances of fintech, derivatives and commodities, this textbook offers readers a comprehensive view of the functions of the global financial markets from an intuitive and hands-on perspective.
This textbook introduces readers to the economic dynamics of growth and distribution and presents dynamic mathematical tools essential to understanding various economic phenomena.
This textbook introduces readers to the economic dynamics of growth and distribution and presents dynamic mathematical tools essential to understanding various economic phenomena.
