0 Mėgstami
0Krepšelis

The Econometrics of Sequential Trade Models: Theory and Applications Using High Frequency Data

84,68 
84,68 
2025-07-31 84.6800 InStock
Nemokamas pristatymas į paštomatus per 13-17 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

The present study has been accepted as a doctoral thesis by the Depart­ ment of Economics of the Johann Wolfgang Goethe-University in Frankfurt am Main. It grew out from my five year long participation in two research projects, "Econometric analysis of transaction intensity and volatility on fi­ nancial markets", and "Microstructure on financial markets", that were both conducted by the chair of Statistics and Econometrics (Empirical Economic Research) at the Department of Economics and Business Administration, Jo­ hann Wolfgang Goethe-University in Frankfurt am Main and financed by the state of Hessen. During this time I have benefitted from many people. First and foremost I would like to thank my thesis supervisor, Prof. Dr. Reinhard Hujer, for initiating and supporting my studies with great encouragement. I am also very grateful to Prof. Dr. Christian Schlag for acting as the second thesis supervisor. Furthermore, I wish to thank Prof. Dr. Joachim Grammig who introduced me to the topics covered in this study in the first place and helped me to sharpen my views on econometrics and financial market microstructure theory through many discussions and also through his willingness to work with me on several related studies.

Informacija

Autorius: Stefan Kokot
Serija: Lecture Notes in Economics and Mathematical Systems
Leidėjas: Springer Berlin Heidelberg
Išleidimo metai: 2004
Knygos puslapių skaičius: 212
ISBN-10: 3540208143
ISBN-13: 9783540208143
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Macroeconomics

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „The Econometrics of Sequential Trade Models: Theory and Applications Using High Frequency Data“

Būtina įvertinti prekę

Goodreads reviews for „The Econometrics of Sequential Trade Models: Theory and Applications Using High Frequency Data“