BANKRUPTCY PREDICTION, PORTFOLIO SELECTION AND ARTIFICIAL INTELLIGENCE

In the financial industry, portfolio optimisation is continuous. The economic cycles and markets volatility change the parameters of decisions overnight. A fund manager is always under pressure to adjust portfolios in lucrative perspectives under uncertainty; whilst head of economics need to incorporate fundamental aspects in complex policies to optimise investors wealth and satisfaction. In Shipping, strategic planning is formed considering customers satisfaction to maximise the market share and profit, though optimal decision making is achieved using techniques of Artificial Intelligence (AI) and Mathematical Analysis. Accounting statements provide the markets, and tax services with valuable data on the economic health of companies, as prices are focused on a limited part of the activity within the company. Computational Intelligence, AI, Evolutionary Algorithms and Multicriteria Analysis are efficient methods that support optimal decision making. Innovative aspects in Modern Portfolio Theory, Artificial Intelligence and Financial Management are used in this book to optimally resolve problems of Bankruptcy Prediction, Portfolio Selection and Shipping.

Autorentext

is a Mechanical Engineer (Techn. Uni. Crete-TUC), Economist (Uni. Crete), with MPhil in Engineering Management (TUC), MSc in Computational Finance-Uni. Essex, he is PhD Cand. at the Uni. of Macedonia(Greece). He has lectured at the Polytechnic of Crete, UMUC, the Greenwitch Uni., Academies. He works in the industry. nloukeris@staff.teicrete.gr