Modelling Irregularly Spaced Financial Data
Nikolaus Hautsch
Venduto da buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungere al carrelloVenduto da buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Venditore AbeBooks dal 23 gennaio 2017
Condizione: Nuovo
Quantità: 2 disponibili
Aggiungere al carrelloNeuware -This book has been written as a doctoral dissertation at the Department of Economics at the University of Konstanz. I am indebted to my supervisor Winfried Pohlmeier for providing a stimulating and pleasant research en- ronment and his continuous support during my doctoral studies. I strongly bene tted from inspiring discussions with him, his valuable advices and he- ful comments regarding the contents and the exposition of this book. I am grateful to Luc Bauwens for refereeing my work as a second super- sor. Moreover, I wish to thank him for o ering me the possibility of a research visit at the Center of Operations Research and Econometrics (CORE) at the Universit¿ e Catholique de Louvain. Important parts of this book have been conceived during this period. Similarly, I am grateful to Tony Hall who invited me for a research visit at the University of Technology, Sydney, and provided me access to an excellent database from the Australian Stock Exchange. I would like to thank him for his valuable support and the permission to use this data for empirical studies in this book. I wish to thank my colleagues at the University of Konstanz Frank G- hard,DieterHess,JoachimInkmann,MarkusJochmann,StefanKlotz,Sandra Lechner and Ingmar Nolte who o ered me advice, inspiration, friendship and successfulco-operations.Moreover,Iamgratefultothestudentresearchass- tantsat the Chair of Econometrics at the University of Konstanz, particularly Magdalena Ramada Sarasola, Danielle Tucker and Nadine Warmuth who did a lot of editing work.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch.
Codice articolo 9783540211341
From the reviews of the first edition:
"This book regards financial point processes. ... Valuable risk and liquidity measures are constructed by defining financial events in terms of price and /or the volume process. Several applications are illustrated." (Klaus Ehemann, Zentralblatt MATH, Vol. 1081, 2006)
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