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<titleInfo><title>Beer, Cars &amp; Fundamentals: Predicting German M&amp; A activity</title></titleInfo>


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<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="personal">
  <namePart type="given">Reeyarn</namePart>
  <namePart type="family">Li</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">102450</identifier></name>
<name type="personal">
  <namePart type="given">Dominik</namePart>
  <namePart type="family">Degen</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Jens</namePart>
  <namePart type="family">Kengelbach</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Francesca</namePart>
  <namePart type="family">Pietrogrande</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>







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  <identifier type="local">275</identifier>
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<abstract lang="eng">This paper introduces a predictive model for German mergers and acquisitions (M&amp; A) activity leveraging deep feedforward neural networks (DFNN) incorporating well-established traditional variables (also known as features), along with a ChatGPT-based M&amp; A sentiment score (MASS) and unconventional predictors such as beer sales and weather data. We demonstrate that the inclusion of sentiment and non-traditional variables enhances predictive performance. Our findings provide an important empirical foundation for understanding near-term fluctuations in German M&amp; A activity and offer a forecasting tool relevant to both practitioners and researchers.</abstract>

<originInfo><dateIssued encoding="w3cdtf">2025</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host">
  <identifier type="issn">1437-8981</identifier><identifier type="doi">CFCF1480783</identifier>
<part><detail type="volume"><number>Heft 11-12/2025</number></detail><extent unit="pages">302-308</extent>
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<bibliographicCitation>
<ieee>S. Sievers, R. Li, D. Degen, J. Kengelbach, and F. Pietrogrande, &lt;i&gt;Beer, Cars &amp;#38; Fundamentals: Predicting German M&amp;#38; A activity&lt;/i&gt;, vol. Heft 11-12/2025. 2025, pp. 302–308.</ieee>
<chicago>Sievers, Sönke, Reeyarn Li, Dominik Degen, Jens Kengelbach, and Francesca Pietrogrande. &lt;i&gt;Beer, Cars &amp;#38; Fundamentals: Predicting German M&amp;#38; A Activity&lt;/i&gt;. Vol. Heft 11-12/2025. Corporate Finance, 2025. &lt;a href=&quot;https://doi.org/CFCF1480783&quot;&gt;https://doi.org/CFCF1480783&lt;/a&gt;.</chicago>
<apa>Sievers, S., Li, R., Degen, D., Kengelbach, J., &amp;#38; Pietrogrande, F. (2025). &lt;i&gt;Beer, Cars &amp;#38; Fundamentals: Predicting German M&amp;#38; A activity: Vol. Heft 11-12/2025&lt;/i&gt; (pp. 302–308). &lt;a href=&quot;https://doi.org/CFCF1480783&quot;&gt;https://doi.org/CFCF1480783&lt;/a&gt;</apa>
<ama>Sievers S, Li R, Degen D, Kengelbach J, Pietrogrande F. &lt;i&gt;Beer, Cars &amp;#38; Fundamentals: Predicting German M&amp;#38; A Activity&lt;/i&gt;. Vol Heft 11-12/2025.; 2025:302-308. doi:&lt;a href=&quot;https://doi.org/CFCF1480783&quot;&gt;CFCF1480783&lt;/a&gt;</ama>
<bibtex>@book{Sievers_Li_Degen_Kengelbach_Pietrogrande_2025, series={Corporate Finance}, title={Beer, Cars &amp;#38; Fundamentals: Predicting German M&amp;#38; A activity}, volume={Heft 11-12/2025}, DOI={&lt;a href=&quot;https://doi.org/CFCF1480783&quot;&gt;CFCF1480783&lt;/a&gt;}, author={Sievers, Sönke and Li, Reeyarn and Degen, Dominik and Kengelbach, Jens and Pietrogrande, Francesca}, year={2025}, pages={302–308}, collection={Corporate Finance} }</bibtex>
<mla>Sievers, Sönke, et al. &lt;i&gt;Beer, Cars &amp;#38; Fundamentals: Predicting German M&amp;#38; A Activity&lt;/i&gt;. 2025, pp. 302–08, doi:&lt;a href=&quot;https://doi.org/CFCF1480783&quot;&gt;CFCF1480783&lt;/a&gt;.</mla>
<short>S. Sievers, R. Li, D. Degen, J. Kengelbach, F. Pietrogrande, Beer, Cars &amp;#38; Fundamentals: Predicting German M&amp;#38; A Activity, 2025.</short>
</bibliographicCitation>
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