Rational Expectation Tests on Financial Analysts' Earnings Forecasts

The aim of this dissertation is to test whether analysts can efficiently use the publicly available information to make earning forecasts rational or not. Rational expectation tests are based on United Kingdom stock market data. It indicates the performance of the analyst's earning forecast dur...

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Main Author: Zhao, Yi
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2008
Online Access:https://eprints.nottingham.ac.uk/22022/
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author Zhao, Yi
author_facet Zhao, Yi
author_sort Zhao, Yi
building Nottingham Research Data Repository
collection Online Access
description The aim of this dissertation is to test whether analysts can efficiently use the publicly available information to make earning forecasts rational or not. Rational expectation tests are based on United Kingdom stock market data. It indicates the performance of the analyst's earning forecast during 31st, Jan, 1987 to 30th, June, 2003.This paper firstly introduce the fundamental theories for this study, such as Rational Expectation Hypothesis and Loss functions. Quadratic Loss function (OLS) and Linear Loss function (LAD) are chosen to evaluate the performance of analysts' earnings forecasts. The sample in this study includes 541 companies which are listed in the U.K stock market. The test result is: Through analyzing 541 U.K listed companies' monthly-data on actual earnings, earnings forecasts, share prices and return index for 17 years (1987-2003) by using OLS and LAD estimations, I conclude that financial analysts do not use previous earnings, extreme earnings changes, previous forecast revisions, previous forecast errors and past stock returns information efficiently. This study reexamine previous researches by using U.K data.
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spelling nottingham-220222018-02-17T17:57:20Z https://eprints.nottingham.ac.uk/22022/ Rational Expectation Tests on Financial Analysts' Earnings Forecasts Zhao, Yi The aim of this dissertation is to test whether analysts can efficiently use the publicly available information to make earning forecasts rational or not. Rational expectation tests are based on United Kingdom stock market data. It indicates the performance of the analyst's earning forecast during 31st, Jan, 1987 to 30th, June, 2003.This paper firstly introduce the fundamental theories for this study, such as Rational Expectation Hypothesis and Loss functions. Quadratic Loss function (OLS) and Linear Loss function (LAD) are chosen to evaluate the performance of analysts' earnings forecasts. The sample in this study includes 541 companies which are listed in the U.K stock market. The test result is: Through analyzing 541 U.K listed companies' monthly-data on actual earnings, earnings forecasts, share prices and return index for 17 years (1987-2003) by using OLS and LAD estimations, I conclude that financial analysts do not use previous earnings, extreme earnings changes, previous forecast revisions, previous forecast errors and past stock returns information efficiently. This study reexamine previous researches by using U.K data. 2008 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/22022/1/Rational_Expectation_Tests_on_Financial_Analysts.pdf Zhao, Yi (2008) Rational Expectation Tests on Financial Analysts' Earnings Forecasts. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle Zhao, Yi
Rational Expectation Tests on Financial Analysts' Earnings Forecasts
title Rational Expectation Tests on Financial Analysts' Earnings Forecasts
title_full Rational Expectation Tests on Financial Analysts' Earnings Forecasts
title_fullStr Rational Expectation Tests on Financial Analysts' Earnings Forecasts
title_full_unstemmed Rational Expectation Tests on Financial Analysts' Earnings Forecasts
title_short Rational Expectation Tests on Financial Analysts' Earnings Forecasts
title_sort rational expectation tests on financial analysts' earnings forecasts
url https://eprints.nottingham.ac.uk/22022/