<?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>2026-09-20T23:14:03Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/42336" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/42336</identifier><datestamp>2022-01-13T07:54:52Z</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.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Papadakis, George, Ph. D. Massachusetts Institute of Technology</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">2008-09-03T15:22:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2008-09-03T15:22:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/42336</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">233540392</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2007.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 45-47).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This paper examines the properties of accounting numbers using a real investment framework that predicts asymmetric timeliness of both investment and its outcomes (i.e. sales, earnings and operating cash flows) even in the absence of conservative accounting. In particular, I predict and find that firms are able to react more quickly to negative economic shocks (by cutting investment and employment) than to positive economic shocks (where there is a lag in implementing new investments or expanding employment). Next, I create the link between real investment and operating decisions and accounting by examining properties of sales and cash sales. I focus on analyzing sales and cash sales because real investment and operating activities are likely to have a great impact on the timeliness and time-series properties of these variables. I hypothesize that due to the slow investment adjustment to positive shocks, sales will exhibit a relatively stronger sensitivity to negative versus positive shocks. I also predict that sales will reflect a positive shock over time (positive autocorrelation) whereas a negative shock will be reflected in sales in a more immediate and permanent fashion. I find strong empirical support for both predictions. Cross-sectional tests lend further support to my hypothesis that real operating and investment activities play a crucial role in determining the observed properties of accounting numbers.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by George Papadakis.</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">66 leaves</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">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" 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">Investment dynamics and the timeliness properties of accounting numbers</dim:field>
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   	&lt;Title>Investment dynamics and the timeliness properties of accounting numbers&lt;/Title>
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   	&lt;PublicationDate>2007&lt;/PublicationDate>
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   	&lt;Abstract>This paper examines the properties of accounting numbers using a real investment framework that predicts asymmetric timeliness of both investment and its outcomes (i.e. sales, earnings and operating cash flows) even in the absence of conservative accounting. In particular, I predict and find that firms are able to react more quickly to negative economic shocks (by cutting investment and employment) than to positive economic shocks (where there is a lag in implementing new investments or expanding employment). Next, I create the link between real investment and operating decisions and accounting by examining properties of sales and cash sales. I focus on analyzing sales and cash sales because real investment and operating activities are likely to have a great impact on the timeliness and time-series properties of these variables. I hypothesize that due to the slow investment adjustment to positive shocks, sales will exhibit a relatively stronger sensitivity to negative versus positive shocks. I also predict that sales will reflect a positive shock over time (positive autocorrelation) whereas a negative shock will be reflected in sales in a more immediate and permanent fashion. I find strong empirical support for both predictions. Cross-sectional tests lend further support to my hypothesis that real operating and investment activities play a crucial role in determining the observed properties of accounting numbers.&lt;/Abstract>
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