<?xml version="1.0" encoding="UTF-8"?>

<modsCollection xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd">
<mods version="3.3">

<genre>article</genre>

<titleInfo><title>Valuing high technology growth firms</title></titleInfo>


<note type="publicationStatus">published</note>


<note type="qualityControlled">yes</note>

<name type="personal">
  <namePart type="given">Jan</namePart>
  <namePart type="family">Klobucnik</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Sönke</namePart>
  <namePart type="family">Sievers</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">46447</identifier></name>







<name type="corporate">
  <namePart></namePart>
  <identifier type="local">275</identifier>
  <role>
    <roleTerm type="text">department</roleTerm>
  </role>
</name>








<abstract lang="eng">For the valuation of fast growing innovative firms Schwartz and Moon (Financ Anal J 56:62–75, 2000), (Financ Rev 36:7–26, 2001) develop a fundamental valuation model where key parameters follow stochastic processes. While prior research shows promising potential for this model, it has never been tested on a large scale dataset. Thus, guided by economic theory, this paper is the first to design a large-scale applicable implementation on around 30,000 technology firm quarter observations from 1992 to 2009 for the US to assess this model. Evaluating the feasibility and performance of the Schwartz-Moon model reveals that it is comparably accurate to the traditional sales multiple with key advantages in valuing small and non-listed firms. Most importantly, however, the model is able to indicate severe market over- or undervaluation from a fundamental perspective. We demonstrate that a trading strategy based on our implementation has significant investment value. Consequently, the model seems suitable for detecting misvaluations as the dot-com bubble.</abstract>

<originInfo><publisher>Springer</publisher><dateIssued encoding="w3cdtf">2013</dateIssued>
</originInfo>
<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
</language>

<subject><topic>Schwartz-Moon model</topic><topic>Market mispricing</topic><topic>Empirical test</topic><topic>Company valuation</topic><topic>Trading strategy</topic>
</subject>


<relatedItem type="host"><titleInfo><title>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</title></titleInfo><identifier type="doi">https://doi.org/10.1007/s11573-013-0684-2</identifier>
<part><detail type="volume"><number>83</number></detail><detail type="issue"><number>9</number></detail><extent unit="pages">947-984</extent>
</part>
</relatedItem>

<note type="extern">yes</note>
<extension>
<bibliographicCitation>
<mla>Klobucnik, Jan, and Sönke Sievers. “Valuing High Technology Growth Firms.” &lt;i&gt;Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)&lt;/i&gt;, vol. 83, no. 9, Springer, 2013, pp. 947–84, doi:&lt;a href=&quot;https://doi.org/10.1007/s11573-013-0684-2&quot;&gt;https://doi.org/10.1007/s11573-013-0684-2&lt;/a&gt;.</mla>
<bibtex>@article{Klobucnik_Sievers_2013, title={Valuing high technology growth firms}, volume={83}, DOI={&lt;a href=&quot;https://doi.org/10.1007/s11573-013-0684-2&quot;&gt;https://doi.org/10.1007/s11573-013-0684-2&lt;/a&gt;}, number={9}, journal={Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)}, publisher={Springer}, author={Klobucnik, Jan and Sievers, Sönke}, year={2013}, pages={947–984} }</bibtex>
<ama>Klobucnik J, Sievers S. Valuing high technology growth firms. &lt;i&gt;Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)&lt;/i&gt;. 2013;83(9):947-984. doi:&lt;a href=&quot;https://doi.org/10.1007/s11573-013-0684-2&quot;&gt;https://doi.org/10.1007/s11573-013-0684-2&lt;/a&gt;</ama>
<ieee>J. Klobucnik and S. Sievers, “Valuing high technology growth firms,” &lt;i&gt;Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)&lt;/i&gt;, vol. 83, no. 9, pp. 947–984, 2013, doi: &lt;a href=&quot;https://doi.org/10.1007/s11573-013-0684-2&quot;&gt;https://doi.org/10.1007/s11573-013-0684-2&lt;/a&gt;.</ieee>
<apa>Klobucnik, J., &amp;#38; Sievers, S. (2013). Valuing high technology growth firms. &lt;i&gt;Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)&lt;/i&gt;, &lt;i&gt;83&lt;/i&gt;(9), 947–984. &lt;a href=&quot;https://doi.org/10.1007/s11573-013-0684-2&quot;&gt;https://doi.org/10.1007/s11573-013-0684-2&lt;/a&gt;</apa>
<short>J. Klobucnik, S. Sievers, Journal of Business Economics (VHB-JOURQUAL 4 Ranking B) 83 (2013) 947–984.</short>
<chicago>Klobucnik, Jan, and Sönke Sievers. “Valuing High Technology Growth Firms.” &lt;i&gt;Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)&lt;/i&gt; 83, no. 9 (2013): 947–84. &lt;a href=&quot;https://doi.org/10.1007/s11573-013-0684-2&quot;&gt;https://doi.org/10.1007/s11573-013-0684-2&lt;/a&gt;.</chicago>
</bibliographicCitation>
</extension>
<recordInfo><recordIdentifier>5192</recordIdentifier><recordCreationDate encoding="w3cdtf">2018-10-31T11:31:56Z</recordCreationDate><recordChangeDate encoding="w3cdtf">2026-04-09T08:00:16Z</recordChangeDate>
</recordInfo>
</mods>
</modsCollection>
