具體描述
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. It focuses on innovation in economic forecasting via industry applications. It presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications. It makes details about economic forecasting accessible to scholars in fields outside economics.
著者簡介
圖書目錄
Chapter 1 Forecasting Inflation
Chapter 2 DSGE Model-Based Forecasting
Chapter 3 Forecasting Output
Chapter 4 Now-Casting and the Real-Time Data Flow
Chapter 5 Forecasting and Policy Making
Section II Forecasting Financial Variables
Chapter 6 Forecasting Stock Returns
Chapter 7 Forecasting Interest Rates
Chapter 8 Forecasting the Price of Oil
Chapter 9 Forecasting Real Estate Prices
Chapter 10 Forecasting with Option-Implied Information
Chapter 11 Prediction Markets for Economic Forecasting
Section III Forecasters’ Objectives
Chapter 12 Forecasters’ Objectives and Strategies
Chapter 13 Forecasting Exchange Rates: an Investor Perspective
Section IV Methodology
Chapter 14 Variable Selection in Predictive Regressions
Chapter 15 Forecasting with Bayesian Vector Autoregression
Chapter 16 Copula Methods for Forecasting Multivariate Time Series
Chapter 17 Quantile Prediction
Chapter 18 Panel Data Forecasting
Chapter 19 Forecasting Binary Outcomes
Chapter 20 Advances in Forecast Evaluation
Chapter 21 Advances in Forecasting under Instability
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评分看瞭其中幾個章節，覺得還是挺有意思的。寫作是綜述套路，所以不能指望細節準確。
评分看瞭其中幾個章節，覺得還是挺有意思的。寫作是綜述套路，所以不能指望細節準確。
评分看瞭其中幾個章節，覺得還是挺有意思的。寫作是綜述套路，所以不能指望細節準確。
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