<?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>2026-09-20T12:10:18Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/29926" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/29926</identifier><datestamp>2022-01-13T07:54:28Z</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">Sendhil Mullainathan and Jonathan Lewellen.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Franzoni, Francesco, 1972-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Economics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Economics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2006-03-24T18:03:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2006-03-24T18:03:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2002</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2002</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/29926</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">51916047</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2002.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The first essay finds that the market betas of value and small stocks have decreased by about 75% in the second half of the twentieth century. The decline in beta can be related to a long-term improvement in economic conditions that made these companies less risky. The failure to account for time-series variation of beta in unconditional CAPM regressions can explain as much as 30% of the value premium. In some samples, about 80% of the value premium can be explained by assuming that investors tied their expectations of the riskiness of these stocks to the high values of beta prevailing in the early years. Moving from these findings, the second essay (co-authored with Tobias Adrian) explores in detail the relation between the 'value premium' and the decrease in value stocks' beta. We develop an equilibrium model of learning on time-varying risk factor loadings. In the model the CAPM holds from investors' ex-ante perspective. However, the econometrician can observe positive mispricing, whenever the expected beta is above the true level. Given the finding of a decreasing beta, it is likely that investors' expectation of the beta of these stocks has been above the actual level. Therefore, our model can provide an explanation for the 'value premium'. We present the results of simulations in which the model accounts for up to 80% of the 'value premium' in the 1963-2000 sample.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">(cont.) The third essay analyzes the response of stock returns to earnings information. First, I test the assumption that market expectations of earnings reflect a seasonal random walk, despite the actual process being autoregressive. This hypothesis is rejected. Second, I test the opposite view that expectations are unbiased. The data rejects this possibility for small firms. On the other hand, large firms' prices provide evidence of efficiency. Finally, I show that in the case of small firms the market understates the autoregression coefficient in the earnings process, and it incorrectly assumes that this coefficient is positive, even when actual earnings are seasonal random walks.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Francesco Franzoni.</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">164 p.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Economics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Essays on financial economics</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Essays on asset pricing</dim:field>
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   	&lt;Title>Essays on financial economics&lt;/Title>
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   	&lt;PublicationDate>2002&lt;/PublicationDate>
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        	&lt;DisplayName>Franzoni, Francesco, 1972-&lt;/DisplayName>
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    &lt;Keyword>Economics.&lt;/Keyword>
   	&lt;Abstract>The first essay finds that the market betas of value and small stocks have decreased by about 75% in the second half of the twentieth century. The decline in beta can be related to a long-term improvement in economic conditions that made these companies less risky. The failure to account for time-series variation of beta in unconditional CAPM regressions can explain as much as 30% of the value premium. In some samples, about 80% of the value premium can be explained by assuming that investors tied their expectations of the riskiness of these stocks to the high values of beta prevailing in the early years. Moving from these findings, the second essay (co-authored with Tobias Adrian) explores in detail the relation between the &amp;apos;value premium&amp;apos; and the decrease in value stocks&amp;apos; beta. We develop an equilibrium model of learning on time-varying risk factor loadings. In the model the CAPM holds from investors&amp;apos; ex-ante perspective. However, the econometrician can observe positive mispricing, whenever the expected beta is above the true level. Given the finding of a decreasing beta, it is likely that investors&amp;apos; expectation of the beta of these stocks has been above the actual level. Therefore, our model can provide an explanation for the &amp;apos;value premium&amp;apos;. We present the results of simulations in which the model accounts for up to 80% of the &amp;apos;value premium&amp;apos; in the 1963-2000 sample.&lt;/Abstract>
   	&lt;Abstract>(cont.) The third essay analyzes the response of stock returns to earnings information. First, I test the assumption that market expectations of earnings reflect a seasonal random walk, despite the actual process being autoregressive. This hypothesis is rejected. Second, I test the opposite view that expectations are unbiased. The data rejects this possibility for small firms. On the other hand, large firms&amp;apos; prices provide evidence of efficiency. Finally, I show that in the case of small firms the market understates the autoregression coefficient in the earnings process, and it incorrectly assumes that this coefficient is positive, even when actual earnings are seasonal random walks.&lt;/Abstract>
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