© 2005

Empirical Techniques in Finance


Part of the Springer Finance book series (FINANCE)

About this book


This book offers the opportunity to study and experience advanced empi- cal techniques in finance and in general financial economics. It is not only suitable for students with an interest in the field, it is also highly rec- mended for academic researchers as well as the researchers in the industry. The book focuses on the contemporary empirical techniques used in the analysis of financial markets and how these are implemented using actual market data. With an emphasis on Implementation, this book helps foc- ing on strategies for rigorously combing finance theory and modeling technology to extend extant considerations in the literature. The main aim of this book is to equip the readers with an array of tools and techniques that will allow them to explore financial market problems with a fresh perspective. In this sense it is not another volume in eco- metrics. Of course, the traditional econometric methods are still valid and important; the contents of this book will bring in other related modeling topics that help more in-depth exploration of finance theory and putting it into practice. As seen in the derivatives analysis, modern finance theory requires a sophisticated understanding of stochastic processes. The actual data analyses also require new Statistical tools that can address the unique aspects of financial data. To meet these new demands, this book explains diverse modeling approaches with an emphasis on the application in the field of finance.


Empirical Techniques Expectation Maximisation Finance Financial Econometrics Financial Markets Investment Markov Chain Markov Chains econometrics modeling

Authors and affiliations

  1. 1.School of Banking and FinanceThe University of New South WalesSydneyAustralia
  2. 2.Graduate School of EconomicsKobe UniversityKobeJapan

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