Publication: Gotta Catch ‘Em All: How Scarcity, Sentiment, and Secondary Markets Influence Pokémon TCG Financial Dynamics
| datacite.rights | restricted | |
| dc.contributor.advisor | Gortmaker, Jeff | |
| dc.contributor.author | Danz, Thomas | |
| dc.date.accessioned | 2026-07-07T15:40:48Z | |
| dc.date.available | 2026-07-07T15:40:48Z | |
| dc.date.issued | 2026-04-09 | |
| dc.description.abstract | Collectibles markets have long been the focus of academic literature; however, the Pokémon Trading Card Game (TCG) and other card markets have widely been excluded. This study applies the hedonic pricing framework to the Pokémon TCG, using a novel dataset of 4.77 million observations across 138 sets spanning April 2023 through March 2026. I estimate implicit prices for supply-side scarcity and demand-side characteristics including rarity tier, Pokémon generation, character identity, and card age, and test whether the market exhibits properties consistent with financial asset classes. I find that supply-side scarcity alone does not generate price premiums, Pokémon-specific traits drive value, and the market its structurally segmented between sealed products and raw cards. Additionally, I find evidence consistent with weak-form market efficiency, present in the return-volatility asymmetry that characterizes mature financial asset classes. These findings demonstrate that a market often characterized to be driven by nostalgia, hype, and speculation exhibits an underlying economic structure that mirrors established financial economics and collectibles research. This paper hopes to provide a foundation for future investigations into the Pokémon TCG and other TCG markets. | |
| dc.identifier.uri | https://theses-dissertations.princeton.edu/handle/88435/dsp01c247dw57w | |
| dc.language.iso | en_US | |
| dc.title | Gotta Catch ‘Em All: How Scarcity, Sentiment, and Secondary Markets Influence Pokémon TCG Financial Dynamics | |
| dc.type | Princeton University Senior Theses | |
| dspace.entity.type | Publication | |
| dspace.workflow.startDateTime | 2026-04-10T11:39:07.522Z | |
| pu.contributor.authorid | 920317134 | |
| pu.date.classyear | 2026 | |
| pu.department | Economics |
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