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Market-to-Book Ratio and Creative Industries– Example of Polish Video Games Developers

Author

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  • Rydzewski Rafał

    (University of Economics in Katowice, Katowice, Poland)

Abstract

Research purpose. There are many reasons for which a growing interest in research and analysis of video game developers is observed. First, it results from attractive high rates of return on investment in this sector. Second, video games developers, in the author’s opinion, constitute a good combination of business and culture which is a ground for development of creative industry. A capital-intensive process of production and the intangibility of video games cause a problem in valuation of developers. Market participants who value future cash flows are in conflict with a historical cost approach used in accounting. This leads to a question of whether the confrontation of these two extreme ways of valuation could be a valuable measure of unrecognised assets for the analysis of video games sector and, as a consequence, of creative industry. The aim of the study is to explore a possible role and use of market-to-book ratio for analysis of this sector.Design/Methodology/Approach. The study starts with a literature review on market-to-book ratio applied to knowledge-based industries. The second part of the research is a comparison of results obtained for 19 biggest listed representatives of the video games sector in Poland to other sectors of Warsaw Stock Exchange. Further analysis juxtaposes the selected Polish representatives with world’s biggest ones in this sector. This will allow to draw conclusions about the usefulness of the examined ratio.Findings. The research shows that the video games sector represents noticeably higher level of market-to book ratio than other industries in Poland and is comparable to the world’s representatives. It can be stated that the market’s valuation takes into account unrecognised assets (intellectual capital), which are greatly related to possible future cash flows. What is interesting is that, for some of the selected Polish companies, market-to-book ratio keeps decreasing compared to the levels at IPO. This refers to market efficiency in relation to possible speculative bubbles which companies of this sector are often accused of.Originality/Value/Practical implications. The obtained results are applicable to the investors, analysts and managers of this sector. The research conducted enables a better understanding of the market-to-book ratio as an indicator of economic standing of creative industry companies and its earnings’ prediction.

Suggested Citation

  • Rydzewski Rafał, 2019. "Market-to-Book Ratio and Creative Industries– Example of Polish Video Games Developers," Economics and Culture, Sciendo, vol. 16(1), pages 137-147, June.
    • Handle: RePEc:vrs:ecocul:v:16:y:2019:i:1:p:137-147:n:15
    DOI: 10.2478/jec-2019-0015
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    References listed on IDEAS

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    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Anne Wyatt & Margaret Abernethy, 2008. "Accounting for Intangible Investments," Australian Accounting Review, CPA Australia, vol. 18(2), pages 95-107, June.
    3. Patrycja Klimas & Wojciech Czakon, 2018. "Organizational innovativeness and coopetition: a study of video game developers," Review of Managerial Science, Springer, vol. 12(2), pages 469-497, March.
    4. Cheng, C S Agnes & McNamara, Ray, 2000. "The Valuation Accuracy of the Price-Earnings and Price-Book Benchmark Valuation Methods," Review of Quantitative Finance and Accounting, Springer, vol. 15(4), pages 349-370, December.
    5. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    6. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    7. Christine Legner & Torsten Eymann & Thomas Hess & Christian Matt & Tilo Böhmann & Paul Drews & Alexander Mädche & Nils Urbach & Frederik Ahlemann, 2017. "Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 301-308, August.
    8. Pervin K. Shroff, 1995. "Determinants of the Returns†Earnings Correlation," Contemporary Accounting Research, John Wiley & Sons, vol. 12(1), pages 41-55, September.
    9. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    10. repec:pri:cepsud:91malkiel is not listed on IDEAS
    11. Penman, SH, 1996. "The articulation of price-earnings ratios and market-to-book ratios and the evaluation of growth," Journal of Accounting Research, Wiley Blackwell, vol. 34(2), pages 235-259.
    12. Francis, J & Schipper, K, 1999. "Have financial statements lost their relevance?," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 319-352.
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    More about this item

    Keywords

    Creative industry; Video game sector; Market-to-book ratio; Intellectual capital;
    All these keywords.

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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