This research is aimed to discover and test the potential influencing factors on stock buybacks for Chinese listed companies. 11 new influencing factors hypotheses are developed based on several prevailing hypotheses, such as the information signaling hypothesis, the free cash flow hypothesis, the optimal leverage hypothesis and the takeover deterrence hypothesis. The research will test 11 factors that potentially influence listed companies to buy back stocks. The regression and independent variables will be adjusted. The testing sample is from all the companies listed on the Shanghai Stock Exchange that had stock buyback transactions in 2019. Suggestions will be given according to the regression result regarding the potential influencing factors on stock buybacks for Chinese listed companies in 2019. Due to different influencing factors on stock buybacks, different operating methods may have different effects to achieve different goals. Therefore, the determinants of buyback methods in practice will be discussed. The advantages and disadvantages will be discussed from different perspectives, which can be very useful suggestions in stock buyback practice. / Business Administration/Finance

Made available in DSpace on 2016-03-15T19:26:32Z (GMT). No. of bitstreams: 1 RITA_VAROLI_ADM.pdf: 1159708 bytes, checksum: 8070f74bae277d874b99654abce2e142 (MD5) Previous issue date: 2006-09-14 / International and Brazilian s researchers have been showing studies to answer questions about an optimal leverage. Following evidences of an optimal capital structure s existence and its relevance for creation value, this paper shows the comparison of actual financing leverage with results of theoretical models, using different approaches to achieve the optimal financing mix. Five methods were applied, looking for those that are better fitted to predict leverage for food and beverage and paper and pulp firms. These approaches are: operational margin method, return differential method, adjusted present value method, average weighted cost of capital method and comparative method, in which a cross sectional with capital structure determinants is used to obtain the optimal leverage. / Estudos internacionais e brasileiros têm sido realizados por pesquisadores na busca de uma resposta para a existência de uma estrutura ótima de capital. Partindo da vertente das evidências de que esta existe com sua conseqüente relevância para a criação de valor, este trabalho mostra a comparação dos níveis de endividamento atuais com resultados de modelos teóricos ideais, usando diferentes abordagens que se propõem fornecer o chamado nível de endividamento ótimo. Foram aplicadas cinco abordagens de cálculo para estimar graus ótimos de endividamento em empresas do setor de alimentos e bebidas e de papel e celulose, procurando verificar quais abordagens se apresentam mais adequadas. Essas abordagens são: método do lucro operacional, método do diferencial do retorno, método do custo de capital, método do valor presente ajustado ao método comparativo por regressão cross sectional, na qual dados determinantes de capital são usados para obter o endividamento em nível ótimo.

This study applies the Vasicek stochastic interest rate model in order to determine optimal capital structures for listed firms. A Swedish interest rate data set is used to estimate Vasicek model parameter that are reliable and independent of initial start values. These interest rate parameters are then used in a capital structure model which is evaluated through a sensitivity analysis and a firm-specific analysis which is applied to listed Swedish firms. The tax benefits of debt must be balanced against transaction costs and bankruptcy costs when determining optimal leverage ratio and optimal debt maturity. The results imply that firms should primarily focus on the long-term mean parameter of the interest rate process, the volatility of its firm value, the transaction cost of issuing debt and the effective corporate tax rate when choosing a capital structure. The capital structure model is well-founded in previous research and yields results which align with empirical data quite well. The conclusions of this study has implications for corporate finance, as the Vasicek model provides a better understanding of the stochastic nature of interest rates and its influence in determining optimal capital structures. / Denna studie tillämpar Vasiceks stokastiska räntemodell för att bestämma optimala kapitalstrukturer för noterade företag. Vasicekmodellen anpassas till ett Svensk dataset över räntor för att estimera parametrar. Dessa parametrar används sedan i en kapitalstruktursmodell för att analysera modellens känslighet för variationer i parametrar samt för att härleda optimala kapitalstrukturer för en rad Svenska noterade bolag. Skattefördelarna av skuld måste balanseras mot transaktionskostnader av skuldemissioner och konkurskostnader vid bestämning av optimal skuldsättningsgrad och optimal skuldlöptid. Resultaten antyder att företag bör primärt fokusera på det långsiktiga medelvärdet av den stokastiska ränteprocessen, volatiliteten av bolagsvärdet, transaktionskostnaden av skuldemissioner och effektiva bolagsskatten när de väljer en kapitalstruktur. Denna studie har implikationer för finansieringsteori då Vasiceks modell närmare modellerar räntors stokastiska dynamiker och dess påverkan på bestämning av bolags kapitalstrukturer.