Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts

ABSTRACT The inefficiency of the Financial Analysts in using the public information whilst making their Earnings Forecasts has been documented by numerous previous researches. The previous researches assume that analysts aim to minimize their mean squared forecast errors i.e. analyst face a quadrati...

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Main Author: Nahar, Abhay Kumar
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2008
Subjects:
Online Access:https://eprints.nottingham.ac.uk/22344/
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author Nahar, Abhay Kumar
author_facet Nahar, Abhay Kumar
author_sort Nahar, Abhay Kumar
building Nottingham Research Data Repository
collection Online Access
description ABSTRACT The inefficiency of the Financial Analysts in using the public information whilst making their Earnings Forecasts has been documented by numerous previous researches. The previous researches assume that analysts aim to minimize their mean squared forecast errors i.e. analyst face a quadratic loss function. These researches thereby use the Ordinary Least Squares regression tests to test the efficiency of the analysts. On the contrary, I assume that the analysts face a linear loss function in that they seek to minimize their absolute forecast errors. I use the Least Absolute Deviations (LAD) regression-based tests in my empirical studies. The focal point of my empirical study is to conduct and contrast the Rational Expectations Hypothesis under the assumption of these two different loss functions. My findings are similar to the earlier researches under the quadratic loss function assumption but offer no evidence of inefficiency on part of financial analysts under the linear loss function. The LAD regression-based test shows that financial analysts are rational in their expectations .
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spelling nottingham-223442018-01-08T06:09:38Z https://eprints.nottingham.ac.uk/22344/ Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts Nahar, Abhay Kumar ABSTRACT The inefficiency of the Financial Analysts in using the public information whilst making their Earnings Forecasts has been documented by numerous previous researches. The previous researches assume that analysts aim to minimize their mean squared forecast errors i.e. analyst face a quadratic loss function. These researches thereby use the Ordinary Least Squares regression tests to test the efficiency of the analysts. On the contrary, I assume that the analysts face a linear loss function in that they seek to minimize their absolute forecast errors. I use the Least Absolute Deviations (LAD) regression-based tests in my empirical studies. The focal point of my empirical study is to conduct and contrast the Rational Expectations Hypothesis under the assumption of these two different loss functions. My findings are similar to the earlier researches under the quadratic loss function assumption but offer no evidence of inefficiency on part of financial analysts under the linear loss function. The LAD regression-based test shows that financial analysts are rational in their expectations . 2008 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/22344/1/08MAlixakn1.pdf Nahar, Abhay Kumar (2008) Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts. [Dissertation (University of Nottingham only)] (Unpublished) Rational Expectations Loss Function Financial Analysts Forecast Errors
spellingShingle Rational Expectations
Loss Function
Financial Analysts
Forecast Errors
Nahar, Abhay Kumar
Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts
title Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts
title_full Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts
title_fullStr Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts
title_full_unstemmed Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts
title_short Loss Function Assumptions in Rational Expectations Tests on Financial Analysts Earnings Forecasts
title_sort loss function assumptions in rational expectations tests on financial analysts earnings forecasts
topic Rational Expectations
Loss Function
Financial Analysts
Forecast Errors
url https://eprints.nottingham.ac.uk/22344/