Using a game-theoretic framework, this unified, comprehensive treatment of contest design in economics and computer science focuses on online applications.
Central banks and other policymaking institutions use causal hypotheses to justify macroeconomic policy decisions to the public and public institutions.
Financial Economics and Econometrics provides an overview of the core topics in theoretical and empirical finance, with an emphasis on applications and interpreting results.
This book brings together the latest research in the areas of market microstructure and high-frequency finance along with new econometric methods to address critical practical issues in these areas of research.
Statistische Methoden stellen nicht nur wegen ihrer teils erheblichen Komplexität, sondern häufig auch aufgrund unzureichender Grundkenntnisse potenzieller Anwender eine große Verständnishürde dar.
Reissuing works originally published between 1929 and 1991, this collection of 17 volumes presents a variety of considerations on Econometrics, from introductions to specific research works on particular industries.
Belief and Rule Compliance: An Experimental Comparison of Muslim and Non-Muslim Economic Behavior uses modern behavioral science and game theory to examine the behavior and compliance of Muslim populations to Islamic Finance laws and norms.
This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions.
The quick recovery of Asian economies from recent recessions in comparison to the struggling American and European economies can be attributed in part to the positive aggregate-demand externalities of their self-employment sectors.
Quantitative Methods for Portfolio Analysis provides practical models and methods for the quantitative analysis of financial asset prices, construction of various portfolios, and computer-assisted trading systems.
Understand Up-to-Date Statistical Techniques for Financial and Actuarial ApplicationsSince the first edition was published, statistical techniques, such as reliability measurement, simulation, regression, and Markov chain modeling, have become more prominent in the financial and actuarial industries.
Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want.
Korea, one of the original 'Tiger Economies', experiences a traumatic and largely unanticipated economic crisis in 1997-98 from which the country is still recovering.
This book contains the Proceedings of a symposium that was held in Rotterdam from 12 to 15 January 1982 to celebrate the 25-th anniversary of the Econometric Institute of the Erasmus University.
The book describes formal models of reasoning that are aimed at capturing the way that economic agents, and decision makers in general think about their environment and make predictions based on their past experience.
A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics.
That macroeconomic theory and macroeconometrics are, in the near future and more than ever, indispensable tools in the study of economics is no longer a very cont- versial statement.
Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance.
This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data.
