Financial Decision Making

Theory of Financial Decision Making [Repost]  eBooks & eLearning

Posted by tanas.olesya at May 10, 2016
Theory of Financial Decision Making [Repost]

Theory of Financial Decision Making by Jonathan E. Ingersoll
English | June 28, 1987 | ISBN: 0847673596 | 391 Pages | PDF | 2 MB

Based on courses developed by the author over several years, this book provides access to a broad area of research that is not available in separate articles or books of readings.

Cognitive Workload and Fatigue in Financial Decision Making  eBooks & eLearning

Posted by bookwyrm at March 18, 2016
Cognitive Workload and Fatigue in Financial Decision Making

Cognitive Workload and Fatigue in Financial Decision Making By Stephen J. Guastello
2016 | 144 Pages | ISBN: 4431553118 | PDF | 2 MB
Chronic Regulatory Focus and Financial Decision-Making: Asset and Portfolio Allocation

Chronic Regulatory Focus and Financial Decision-Making: Asset and Portfolio Allocation By Navin Kumar
2016 | 104 Pages | ISBN: 9812876936 | PDF | 2 MB
Computational Intelligence Paradigms in Economic and Financial Decision Making

Marina Resta, "Computational Intelligence Paradigms in Economic and Financial Decision Making"
English | ISBN: 331921439X | 2015 | 194 pages | PDF | 7 MB
Handbook of the Fundamentals of Financial Decision Making (repost)

Leonard C. MacLean, "Handbook of the Fundamentals of Financial Decision Making"
English | ISBN: 9814417343 | 2013 | 924 pages | PDF | 21 MB

Financial Decision Making Using Computational Intelligence (repost)

Financial Decision Making Using Computational Intelligence by Michael Doumpos, Constantin Zopounidis and Panos M. Pardalos
English | ISBN: 1461437725 | 2012 | PDF | 336 pages | 5,6 MB

The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques.
Financial Decision Making Using Computational Intelligence (repost)

Financial Decision Making Using Computational Intelligence by Michael Doumpos, Constantin Zopounidis and Panos M. Pardalos
English | ISBN: 1461437725 | 2012 | PDF | 336 pages | 5,6 MB

The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques.

Risk Tolerance in Financial Decision Making (repost)  

Posted by interes at Aug. 16, 2013
Risk Tolerance in Financial Decision Making (repost)

Caterina Lucarelli, Gianni Brighetti, "Risk Tolerance in Financial Decision Making"
English | 2011 | ISBN: 0230281133 | 304 pages | PDF | 1,9 MB

This book sheds light on the emotional side of risk taking behaviour using an innovative cross-disciplinary approach, mixing financial competences with psychology and affective neuroscience. In doing so, it shows the implications for market participants and regulators in terms of transparency and communication between intermediaries and customers.
Financial Decision Making Using Computational Intelligence (Repost)

Michael Doumpos, "Financial Decision Making Using Computational Intelligence"
ISBN: 1461437725 | 2012 | PDF | 336 pages | 5.6 MB

The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques.
Financial Decision Making Using Computational Intelligence (Repost)

Michael Doumpos, "Financial Decision Making Using Computational Intelligence"
ISBN: 1461437725 | 2012 | PDF | 336 pages | 5.6 MB

The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science.