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Cambridge University Press Cambridge Time Series for Economics and Finance Textbook

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£44.99 £23.01 £27.81 £32.60 £37.40 £42.19 £46.99 25 May 2026 12 June 2026 01 July 2026 20 July 2026 08 August 2026

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Description

Master the complexities of temporal data with Time Series for Economics and Finance from Cambridge University Press. This textbook provides a comprehensive guide for students and professionals seeking to analyze data ordered in time using modern data science techniques. Specifically tailored for economics and finance applications, the text offers rigorous training to prepare readers for real-world quantitative analysis. The content covers essential modern methodologies, including Bayesian approaches, machine learning, nonparametric smoothing methods, and continuous time econometrics. By bridging the gap between traditional econometrics and contemporary data science, this book ensures readers stay current with evolving industry standards. Designed for deep learning and retention, the book includes theoretical and empirical exercises to test knowledge. Concise summaries and bolded key terms help students quickly grasp and review vital concepts. With illustrative examples throughout, this guide serves as a practical resource for understanding how to apply advanced time series modeling to economic and financial datasets.

Key Features

Comprehensive coverage of modern data science techniques applied specifically to economics and finance applications.

In-depth exploration of advanced topics including Bayesian approaches, machine learning, and continuous time econometrics.

Practical learning through theoretical and empirical exercises designed to reinforce complex mathematical concepts.

Enhanced study support with concise summaries and bolded key terms for efficient review and better understanding.

Clear instruction supported by illustrative examples to bridge the gap between theory and real-world data analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 December 2024
Listed Since
18 October 2024

Barcode

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