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FINANCIAL ECONOMICS

Hypothesis that Tobin’s q captures organizations’ debt levels instead of their growth opportunities and intangible assets

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Article: 2132636 | Received 25 Mar 2022, Accepted 02 Oct 2022, Published online: 11 Nov 2022
 

Abstract

The informational content of prices hypothesis in Modigliani and Miller (and Fisher before them) advocates that organizations’ market prices could somehow estimate their growth prospects and intangible assets. For this estimation, discounted cash flow models are frequently employed. However, these models require information about monetary flows and discount rates in the long future, which are most difficult to confirm in the moment of the analysis. Thus, Tobin’s q or similar procedures as the market-to-book value of the firm have been claimed (and presupposed) as evidence that markets could identify growth prospects and intangible assets. Indeed, Tobin’s q tends to be higher for new and/or intangible intensive firms. Nevertheless, we know that for q > 1, less debt tends to imply a higher q, whereas the inverse holds for the less frequent q < 1. To explain this phenomenon, we propose a “mechanical effect hypothesis” describing an automatic relationship between q and capital structures at the variable computation. Accordingly, as intangible-intensive and/or new firms are likely to have q > 1 and less debt, a mechanical effect increases their q-values without requiring growth perspectives, or intangibles. Hence, this new hypothesis disputes Fisher-Modigliani-Miller’s utilization of discounted cash flow models to explain markets and prices.

PUBLIC INTEREST STATEMENT

This study disproves one of the most used empirical indicators in economics and finance, namely, Tobin’s q. Researchers employ Tobin’s q to identify firm’s intangible assets and growth opportunities. Indeed, q tends to be higher for intangible-intensive firms (e.g., Alphabet, Meta, ByteDance) and new firms. Thus, many studies are quick to presuppose that firms’ q can identify their intangible assets and future growth opportunities. Rather, what Tobin’s q has been empirically capturing is firms’ debt levels. As intangible-intensive firms and new firms tend to have less debt in their capital structures, a mechanical effect in the computation automatically makes them have a higher q every time that q is higher than 1 (common case). No intangible assets or growth opportunities are required. Given this indicator’s prominence, these findings raise questions about the capacity of economic and finance theory to understand firms, markets, prices, intangible assets, and performance.

Acknowledgements

Joao Silva Ferreira, Julia Smith, Patrick McColgan, Andrew Marshal, Christine Cooper, David McMillan (the Editor), two anonymous referees, and the ADVANCE Research Center at ISEG, and Portuguese national funding agency for science, research and technology (FCT) under the Project UIDB/04521/2020.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1. Many studies employ this interpretation of Tobin’s q (e.g., Tobin and Brainard, Citation1977, Wernerfelt & Montgomery, Citation1988; Morck et al., Citation1989; Chen & Lee, Citation1995; Canibano et al., Citation2000; Lockett & Thompson, Citation2001; Mahoney, Citation2001; García-Ayuso, Citation2003, Gietzmann and Ostaszewskia, Citation2004; Ng, Citation2005; Wyatt, Citation2005, Fanelli and Grasselli, Citation2006; Abeysekera, Citation2008; Ceccagnoli, Citation2009; McClelland et al., Citation2010; Surroca et al., Citation2010; Alcaniz et al., Citation2011; Zéghal & Maaloul, Citation2011; Khallaf, Citation2012; Chen, Citation2013; Zhang, Citation2013; Wang et al., Citation2016; Ray et al., Citation2013, Servaes and Tamayo, Citation2014; Castilla-Polo & Gallardo-Vázquez, Citation2016; Biswas et al., Citation2017; Galant & Cadez, Citation2017; Gupta et al., Citation2017; Kabukcuoglu, Citation2017; Girod & Whittington, Citation2017; Peters & Taylor, Citation2017; Entezarkheir & Moshiri, Citation2018; Muchtar et al., Citation2018; Feng & Chan, Citation2018; Paugam et al., Citation2018; Lian & Wang, Citation2019; Lim et al., Citation2020, Nemlioglu, and Mallick, 2020; Agyei-Boapeah et al., Citation2020; Cheong and Hoang, 2021; Sagliaschi & Savona, Citation2021).

2. On this theme, you may also see, Baker (Citation2018), Bryer (Citation2013), Cardao-Pito and Ferreira, (2018 a b), Dempsey (Citation2014), Cardao-Pito (Citation2020), Markarian (Citation2018), and Mouck (Citation1995).

3. McConnell and Servaes’ (1995) q variable is identical to the firm’s market-to-book value variable used by many other studies (e.g., Rajan & Zingales, Citation1995)

4. Many research papers employ the Tobin’s q variable without mentioning this empirical phenomenon (e.g., Tobin and Brainard, 1977, Wernerfelt & Montgomery, Citation1988; Morck et al., Citation1989; Chen & Lee, Citation1995; Canibano et al., Citation2000; Lockett & Thompson, Citation2001; Mahoney, Citation2001; García-Ayuso, Citation2003, Gietzmann and Ostaszewskia, 2004; Ng, Citation2005; Wyatt, Citation2005, Fanelli and Grasselli, 2006; Abeysekera, Citation2008; Ceccagnoli, Citation2009; McClelland et al., Citation2010; Surroca et al., Citation2010; Alcaniz et al., Citation2011; Zéghal & Maaloul, Citation2011; Khallaf, Citation2012; Chen, Citation2013; Zhang, Citation2013; Wang et al., Citation2016; Ray et al., Citation2013, Servaes and Tamayo, 2014; Castilla-Polo & Gallardo-Vázquez, Citation2016; Biswas et al., Citation2017; Galant & Cadez, Citation2017; Gupta et al., Citation2017; Kabukcuoglu, Citation2017; Girod & Whittington, Citation2017; Peters & Taylor, Citation2017; Entezarkheir & Moshiri, Citation2018; Feng & Chan, Citation2018; Paugam et al., Citation2018; Xiang & Qu, Citation2018; Lian & Wang, Citation2019; Lim et al., Citation2020, Nemlioglu, and Mallick, 2020; Agyei-Boapeah et al., Citation2020; Sagliaschi & Savona, Citation2021).

Additional information

Funding

This work was supported by the ADVANCE Research Center at ISEG, and Portuguese national funding agency for science, research and technology (FCT) [Project UIDB/04521/2020].

Notes on contributors

Tiago Cardao-Pito

Tiago Cardao-Pito is an assistant professor at ISEG, Universidade de Lisboa (University of Lisbon), Portugal. He has been invited as a guest lecturer to several academic programs such as those of the Massachusetts Institute of Technology in Portugal (MIT in Portugal), University of Strathclyde and the Portuguese Military Academy. He also has experience working at the Portuguese Ministry of Finance and Public Administration, the Portuguese Ministry of Health and the private sector. He has published two books and more than twenty research papers.