Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Hardcover. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.35.
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Gebundene Ausgabe. Zustand: Gut. Gebraucht - Gut - ungelesen,als Mängelexemplar gekennzeichnet, mit leichten Mängeln an Schnitt oder Umschlag durch Lager- oder Transportschaden,Aufkleber auf Umschlag -The global financial crisis has reopened discussion surrounding the use of appropriate theoretical financial frameworks to reflect the current economic climate. There is a need for more sophisticated analytical concepts which take into account current quantitative changes and unprecedented turbulence in the financial markets. This book provides a comprehensive guide to the quantitative analysis of high frequency financial data in the light of current events and contemporary issues, using the latest empirical research and theory. It highlights and explains the shortcomings of theoretical frameworks and provides an explanation of high-frequency theory, emphasising ways in which to critically apply this knowledge within a financial context. Modelling and Forecasting High Frequency Financial Data combines traditional and updated theories and applies them to real-world financial market situations. It will be a valuable and accessible resource for anyone wishing to understand quantitative analysis and modelling in current financial markets.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 300 pp. Englisch.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 120,41
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 192 pages. 9.25x6.25x1.00 inches. In Stock.
Gebunden. Zustand: New. Dr. Christos Floros (Crete, Greece) is Professor of Finance at the Technological Educational Institute of Crete and Hellenic Open University (Greece). His main research interests include behavioural finance, financial derivatives (futures and options mar.