modelling forecasting financial data (21 résultats)

Gebundene Ausgabe. Etat : 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.

Hardcover. Etat : new. Hardcover. 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 Datacombines 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. The global financial crisis has reopened discussion surrounding the use of appropriate theoretical financial frameworks to reflect the current economic climate. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

hardcover. Etat : Very Good. no dust jacket as issued, volume 2 No dust jacket. Very Good hardcover with light shelfwear - NICE! Standard-sized.

Etat : New. This book is an accessible practitioners guide to the most cutting-edge models used in high-frequency finance modelling, providing advanced techniques and tools for understanding market microstructure and more generally for analyzing financial markets using recent HF data. Num Pages: 304 pages, 33 black & white tables, 34 figures. BIC Classification: KCJ; KFF. Category: (P) Professional & Vocational. Dimension: 167 x 241 x 26. Weight in Grams: 620. . 2015. Hardcover. . . . .

Hardcover. Etat : Brand New. 192 pages. 9.25x6.25x1.00 inches. In Stock.

Etat : New. This book is an accessible practitioners guide to the most cutting-edge models used in high-frequency finance modelling, providing advanced techniques and tools for understanding market microstructure and more generally for analyzing financial markets using recent HF data. Num Pages: 304 pages, 33 black & white tables, 34 figures. BIC Classification: KCJ; KFF. Category: (P) Professional & Vocational. Dimension: 167 x 241 x 26. Weight in Grams: 620. . 2015. Hardcover. . . . . Books ship from the US and Ireland.

Etat : New. In.

Etat : New. In.

Taschenbuch. Etat : Neu. Modelling and Forecasting Financial Data | Techniques of Nonlinear Dynamics | Liangyue Cao (u. a.) | Taschenbuch | xxviii | Englisch | 2012 | Springer US | EAN 9781461353102 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Etat : New. Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to mak.

Etat : New. Presents computer programs used to implement the methods discussed in the respective chapters. This book is suitable for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing. Editor(s): Soofi, Abdol S.; Cao, Liangyue. Series: Studies in Computational Finance. Num Pages: 488 pages, biography. BIC Classification: KCH; KFF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 28. Weight in Grams: 901. . 2002. Hardback. . . . .

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.

Etat : New. Presents computer programs used to implement the methods discussed in the respective chapters. This book is suitable for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing. Editor(s): Soofi, Abdol S.; Cao, Liangyue. Series: Studies in Computational Finance. Num Pages: 488 pages, biography. BIC Classification: KCH; KFF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 28. Weight in Grams: 901. . 2002. Hardback. . . . . Books ship from the US and Ireland.

Buch. Etat : Neu. Neuware - Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.

Etat : new. Questo è un articolo print on demand.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing. 520 pp. Englisch.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to mak.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters.Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 520 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Predictive analytics encompasses a variety of techniques from statistics, data mining and game theory that analyze current and historical facts to make predictions about future events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions. One of the most well-known applications is credit scoring, which is used throughout financial services. Scoring models process a customer''s credit history, loan application, customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time. Predictive analytics are also used in insurance, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields.

Taschenbuch. Etat : Neu. Predictive Analytics | Statistics, Data Mining, Game Theory, Credit Score, Financial Services, Predictive Modelling, Forecasting, Marketing Effectiveness, Customer Relationship Management | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130315948 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.