Analysing Characteristics and Motivation Factors of Stock Repurchases in the A- share Market of China
Author
Wang, Siqing
Term
4. semester
Publication year
2024
Abstract
Dette speciale undersøger både karakteristika og drivkræfter bag aktietilbagekøb i Kinas A-aktie-marked. Med deskriptive data fra 2005 til 2024 beskrives udviklingen i tilbagekøb: antallet er stigende med en markant stigning i 2018–2019, aftalebaserede/OTC-tilbagekøb dominerer, aktiviteten er koncentreret i industriproduktion, informationsteknologi, forbrugsgoder- og -tjenester samt pharma, tilbagekøbsstørrelserne er typisk små, formålene er mangfoldige med annullering i forbindelse med aktieincitamenter som den største andel, og private børsnoterede selskaber udgør hovedparten. For at analysere motivationer anvendes et udvalg af A-aktie-selskaber i Shanghai og Shenzhen 2013–2022 (købsdata fra Wind), og variabler omfatter bl.a. synkronisering af aktiekurser, P/B-forhold, egenkapitalratio, udbytteudbetalingsgrad, agentomkostninger og frit cash flow. Metodisk anvendes logistisk regression (gennemført tilbagekøb som dummy), OLS-regression (tilbagekøbsskala), deskriptiv statistik og korrelationstests, robusthedstests (ekstra lag, variabelsubstitution, PSM) samt en random forest-model til at rangordne betydning og teste brancheforskelle. Resultaterne indikerer, at reduktion af informationsasymmetri, modvirkning af markedsundervurdering, justering af finansiel gearing, øget finansiel fleksibilitet via erstatning af kontantudbytter med tilbagekøb, styring af frit cash flow og lavere agentomkostninger er centrale motiver; random forest peger på aktiekurssynkronisering som den mest indflydelsesrige faktor.
This thesis examines both the characteristics and the motivations behind stock repurchases in China’s A-share market. Using descriptive evidence from 2005 to 2024, it documents an upward trend in buybacks with a pronounced surge in 2018–2019, the dominance of agreed/OTC transactions, concentration in industrial manufacturing, information technology, consumer goods and services, and pharmaceuticals, generally small repurchase sizes with varied purposes (share incentive cancellation being the largest), and a leading role played by private listed firms. To study motivations, the analysis focuses on A-share companies in Shanghai and Shenzhen from 2013 to 2022 (buyback data from Wind), with key variables including share price synchronisation, price-to-book ratio, equity ratio, dividend payout ratio, agency costs, and free cash flow. Methods include logistic regressions (completion of a repurchase as a dummy), OLS regressions (repurchase scale), descriptive statistics and correlation tests, robustness checks (additional lags, variable substitution, propensity score matching), and a random forest model to rank the importance of drivers and assess industry differences. The findings suggest that reducing information asymmetry, countering market undervaluation, adjusting financial leverage, increasing financial flexibility by substituting buybacks for cash dividends, managing free cash flow, and lowering agency costs are core motives; the random forest highlights share price synchronisation as the most influential factor.
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