Metaheuristic Approaches to Portfolio Optimization -

Metaheuristic Approaches to Portfolio Optimization

Buch | Hardcover
263 Seiten
2019
IGI Global (Verlag)
978-1-5225-8103-1 (ISBN)
249,95 inkl. MwSt
Examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. This book also explores measures used for the evaluation of risks/returns of portfolios in real-life situations, and features research on closed-end funds, asset allocation, and risk-return paradigm.
Control of an impartial balance between risks and returns has become important for investors, and having a combination of financial instruments within a portfolio is an advantage. Portfolio management has thus become very important for reaching a resolution in high-risk investment opportunities and addressing the risk-reward tradeoff by maximizing returns and minimizing risks within a given investment period for a variety of assets.

Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. It also explores common measures used for the evaluation of risks/returns of portfolios in real-life situations. Featuring research on topics such as closed-end funds, asset allocation, and risk-return paradigm, this book is ideally designed for investors, financial professionals, money managers, accountants, students, professionals, and researchers.

Anirban Mukherjee did his Bachelors in Civil Engineering in 1994 from Jadavpur University, Kolkata, India. He has a professional Diploma in Operations Management (PGDOM) and PhD in Engineering from Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, West Bengal, India, in 2014. He is currently an Assistant Professor in the Department of Information Technology in RCC Institute of Information Technology (RCCIIT), Kolkata, India. He has initiated several collaborations with International organizations including EU-IndiaGrid Project (Italy), University of Bremen (Germany), University of Cagliari (Italy) and EMMA consortium. He has taken a lead role in bagging World Bank funded project TEQIP-II for RCCIIT in 2011. His research interests include Computer Graphics, Computational Intelligence, and Assistive Technology. He has co-authored two UG engineering textbooks on 'Computer Graphics and Multimedia' and 'Engineering Mechanics'. He has also co-authored around 20 books on Computer Graphics/Multimedia for different Universities of India. He has several international journal and conference papers and book chapters to his credit. Sadhan Kumar Dey originally hailed from Patharmahara, Manbazar, Purulia, West Bengal, and moved to Greater Kolkata in 1995. After being Vice Principal of a reputed CBSE Intermediate School for six years (1996–2002), Editor of Cambridge India (2002–2008) and Head of Humanities in Pailan College of Management & Technology (2008 – 2014) under West Bengal University of Technology (WBUT), he is now Associate Professor of English in RCC Institute of Information Technology, Kolkata. His research interests cover innovative techniques and Technology in English Language Teaching. He is Editorial Board member of several Inter/national Journals on English Language & Literature Teaching. He is a prolific writer, having authored or edited more than 104 books on English Language Teaching for UG and PG levels. Goran Klepac, Ph.D., works as a head of Strategic unit in Sector of credit risk in Raiffeisenbank Austria d.d., Croatia. In several universities in Croatia, he lectures subjects in domain of data mining, predictive analytics, decision support system, banking risk, risk evaluation models, expert system, database marketing and business intelligence. As a team leader, he successfully finished many data mining projects in different domains like retail, finance, insurance, hospitality, telecommunications, and productions. He is an author/coauthor of several books published in Croatian and English in domain of data mining.

Erscheinungsdatum
Verlagsort Hershey
Sprache englisch
Maße 178 x 254 mm
Gewicht 633 g
Themenwelt Wirtschaft Betriebswirtschaft / Management Finanzierung
Wirtschaft Betriebswirtschaft / Management Rechnungswesen / Bilanzen
ISBN-10 1-5225-8103-0 / 1522581030
ISBN-13 978-1-5225-8103-1 / 9781522581031
Zustand Neuware
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