Computational Management

This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.

Reports on cutting-edge applications of computational intelligence to business and finance Describes techniques for modeling, forecasting and decision making Cover methods for effective supply chain scheduling

Contenu
Computational Management: An Overview.- Mathematical and computational approaches for stochastic control of river environment and ecology: from fisheries viewpoint.- Models and Tools of Knowledge Acquisition.- Profits Lie in the Eyes of the Beholder: Entropy-based Volatility Indicators and Portfolio Rotation Strategies.- Asymmetric spill overs between risk and return series: case of CESEE markets.- Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model.- The Effects of Oil Shocks on Macroeconomic Uncertainty: Evidence from a Large Panel Dataset of US States.