<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T07:02:16Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/118014" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/118014</identifier><datestamp>2026-06-16T18:56:01Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">S.P. Kothari and Eric So.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Guest, Nicholas M</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-09-17T15:53:51Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/118014</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1051454102</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 79-84).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">I examine whether the market's reaction to firms' earnings news varies with analysis (or editorial content) produced by financial journalists. A series of natural experiments at The Wall Street Journal (WSJ) suggests that WSJ articles increase trading volume and improve price discovery at S&amp;P 500 earnings announcements. The effects are stronger when an article contains more original analysis and less content reproduced from the firm's press release. This evidence refines inferences from prior studies that find media dissemination, but not analysis, makes the market's earnings response more efficient. Instead, my paper suggests media analysis also enhances investors' trading decisions by improving their understanding of earnings news, albeit for a limited set of large firms. In other words, journalists' analysis efforts provide value to readers, which helps explain the continued production of costly earnings-related analysis amid increasing pressure from low-cost information sources.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Nicholas Guest.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">84 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Do journalists help investors analyze firms' earnings news?</dim:field>
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   	&lt;Title>Do journalists help investors analyze firms&amp;apos; earnings news?&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
   	&lt;Abstract>I examine whether the market&amp;apos;s reaction to firms&amp;apos; earnings news varies with analysis (or editorial content) produced by financial journalists. A series of natural experiments at The Wall Street Journal (WSJ) suggests that WSJ articles increase trading volume and improve price discovery at S&amp;amp;P 500 earnings announcements. The effects are stronger when an article contains more original analysis and less content reproduced from the firm&amp;apos;s press release. This evidence refines inferences from prior studies that find media dissemination, but not analysis, makes the market&amp;apos;s earnings response more efficient. Instead, my paper suggests media analysis also enhances investors&amp;apos; trading decisions by improving their understanding of earnings news, albeit for a limited set of large firms. In other words, journalists&amp;apos; analysis efforts provide value to readers, which helps explain the continued production of costly earnings-related analysis amid increasing pressure from low-cost information sources.&lt;/Abstract&gt;
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