Randomness and Optimal Estimation in Data Sampling
by M. Khoshnevisan, at al.
Publisher: American Research Press 2002
Number of pages: 63
The purpose of this book is to postulate some theories and test them numerically. Estimation is often a difficult task and it has wide application in social sciences and financial market. This book has been designed for graduate students and researchers who are active in the area of estimation and data sampling applied in financial survey modeling and applied statistics.
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- World Bank Publications
This Handbook presents an overall analytical framework for assessing financial system stability and developmental needs, providing broad guidance on approaches, methodologies, and techniques of assessing financial systems.
by Bernt Arne Ødegaard
Useful examples and algorithms for people working within the field of finance. Typical examples are option/derivatives pricing, term structure calculations, mean variance analysis. The author made C++ subroutines that implements common algorithms.
by Arnold S. Wood - Research Foundation Publications
A portfolio of different insights by different authors -- all intended to help us make better choices. Each piece touches on our biases, our embedded beliefs, and considers how these biases and beliefs can help as well as hinder our decisions.
by P. Frantz, R. Payne, J. Favilukis - The London School of Economics and Political Science
This is an extract from a subject guide for an undergraduate course in Economics, Management, Finance and the Social Sciences. It aims to give a general background to further academic or practical work in finance or accounting after graduation.