Accession to the WTO: Computable General Equilibrium Analysis
Topics covered: general characteristics of the World Trade Organization; common steps that have to be taken during the accession process; Computable General Equilibrium Models; application of CGE model to a specific case study; and more.
Economic Growth: Theory and Numerical Solution Methods
This is a book on deterministic and stochastic Growth Theory and the computational methods needed to produce numerical solutions. Exogenous and endogenous growth models are thoroughly reviewed. Special attention is paid to the use of these models for fiscal and monetary policy analysis. Modern Business Cycle Theory, the New Keynesian Macroeconomics, the class of Dynamic Stochastic General Equilibrium models, can be all considered as special cases of models of economic growth, and they can be analyzed by the theoretical and numerical procedures provided in the textbook.
This is a graduate level work covering the economic principles of security markets. Interested readers include students and researchers in economics and finance, as well as financial analysts following the latest theoretical developments in capital asset pricing.
Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both the theory and applications of ARCH models and provides the basic theoretical and empirical background, before proceeding to more advanced issues and applications. The Authors provide coverage of the recent developments in ARCH modelling which can be implemented using econometric software, model construction, fitting and forecasting and model evaluation and selection.
This free book and Exercises evaluate Modern Portfolio Theory (Markowitz, CAPM, MM and APT) for future study. From the original purpose of MPT through to asset investment by management, we learn why anybody today with the software and a reasonable financial education can model portfolios. However, one lesson from the 2007 meltdown is that computer driven models are so complex that hardly anybody understands what is going on. Returning to first principles, we learn why investors and not their computers should always interpret their results. Moreover, MPT is a guide to action and not a substitute. Investors should understand the models that underpin the computer programmes they run.
