"This book explores fractal structure and long-term memory of the financial markets to predict prices of financial assets and financial crisis. It identifies the criteria to select financial assets for investment and the creation of a randomized algorithm of R/S-analysis, which allows to give a...

"This book focuses on the following research topics, namely: novel fractional-order chaotic systems, their synchronization schemes, their bifurcations, and their control along with their applications in engineering and computer science"--

This book pursues a nonlinear approach in considering both chaotic dynamical models and agent-based simulation models of economics, as well as their dynamical behaviors. Three key concepts arising in this context are “nonlinearity,” “bounded rationality” and “heterogeneity,” which...

Nonlinearities in growth have important implications for cross-country income inequality. In particular, they imply that countries may spend long periods of time in a low-growth poverty trap. However, finding evidence of such nonlinearities in the data and accounting for their emergence pose...

Optimal control of dynamic econometric models has a wide variety of applications including economic policy relevant issues. There are several algorithms extending the basic case of a linear-quadratic optimization and taking nonlinearity and stochastics into account, but being still limited in a...