Abstract:Generally, stock prices reflect future expectations of earnings, whereas accounting data reflect past performance. This paper attempts to discover the relationship between accounting data and market price returns of the companies listed on the Prague Stock Exchange (PSE). The Prague Stock Exchange was established in 1993 and provides an opportunity to make a comparison between a newly established market and the findings of studies of established markets. There has been a wealth of publications and accounting r… Show more
“…More specifically, the article describes if there is a statistically significant earnings response coefficient of the companies listed in the ASE conducting annual cross-sectional and intertemporal regression analysis. The paper endorses and advances the methodology used by Kothari, Sloan (1992) and Jindrichovska (2001). The major findings of this study may contribute to various groups of people such as investors, corporations, regulators, educators and researchers.…”
Section: Introductionsupporting
confidence: 54%
“…According to Kothari, Sloan (1992) and Jindrichovska (2001), investors anticipate the numbers of future earnings at least some periods ahead. This is what is meant by "prices lead earnings".…”
Section: Methodsmentioning
confidence: 99%
“…Using the methodology suggested by Kothari, Sloan (1992), the degree of the relationship between price relatives (one plus the buy-and-hold return) and earnings-to-price ratio (earnings yield) is tested using a quarterly, yearly and intertemporal sample. It is employed the earnings level like Kothari, Sloan (1992) and Jindrichovska (2001) did, rather than change, deflated by price as the explanatory variable in the price earnings regression, which is motivated by the random walk time series property of annual earnings Ohlson (1995), and the evidence in Easton, Harris (1991) and Maditinos et al (2007). First, the model using contemporaneous earnings and prices is employed:…”
Section: Methodsmentioning
confidence: 99%
“…Jermakowicz, Gornik-Tomaszewski (1998) evidenced a significant association between stock returns and accounting earnings and concluded that the annual earnings were an important element of the valuation process of a firm. Jindrichovska (2001), following the methodology proposed by Kothari and Sloan (1992), reported that one-leading-year returns were as important as contemporaneous returns in terms of their sensitivity to annual changes in earnings. Jarmalaite (2002), on the basis of the methodology developed by the same Kothari, Sloan (1992), analysed the relationship between accounting data and stock price returns in the stock markets of Lithuania, Latvia and Estonia.…”
The paper explores the relationship between accounting information and stock returns of the companies listed on the Athens Stock Exchange (ASE) in the period 1998–2008. Publicly available financial data on the companies included in the ASE during 1998–2008 have been collected and processed. The data sample consists of 245 companies and varies from 2,166 to 1,441 firm-year observations. The research methodology has been based on the extension of the model introduced by Kothari and Sloan (1992) and investigates whether the level of earnings divided by price at the beginning of the stock return period is associated with returns in the context of ‘prices lead earnings’ using annual and quarterly data. Cross-sectional regression analysis points to a significant relationship between earnings and returns on measurement windows of one year and longer. Similar results have been found in the case of a cumulative model where earnings are aggregated up to four years; however, relationship in the short measurement window up to three quarters has resulted in low earnings response coefficients.
“…More specifically, the article describes if there is a statistically significant earnings response coefficient of the companies listed in the ASE conducting annual cross-sectional and intertemporal regression analysis. The paper endorses and advances the methodology used by Kothari, Sloan (1992) and Jindrichovska (2001). The major findings of this study may contribute to various groups of people such as investors, corporations, regulators, educators and researchers.…”
Section: Introductionsupporting
confidence: 54%
“…According to Kothari, Sloan (1992) and Jindrichovska (2001), investors anticipate the numbers of future earnings at least some periods ahead. This is what is meant by "prices lead earnings".…”
Section: Methodsmentioning
confidence: 99%
“…Using the methodology suggested by Kothari, Sloan (1992), the degree of the relationship between price relatives (one plus the buy-and-hold return) and earnings-to-price ratio (earnings yield) is tested using a quarterly, yearly and intertemporal sample. It is employed the earnings level like Kothari, Sloan (1992) and Jindrichovska (2001) did, rather than change, deflated by price as the explanatory variable in the price earnings regression, which is motivated by the random walk time series property of annual earnings Ohlson (1995), and the evidence in Easton, Harris (1991) and Maditinos et al (2007). First, the model using contemporaneous earnings and prices is employed:…”
Section: Methodsmentioning
confidence: 99%
“…Jermakowicz, Gornik-Tomaszewski (1998) evidenced a significant association between stock returns and accounting earnings and concluded that the annual earnings were an important element of the valuation process of a firm. Jindrichovska (2001), following the methodology proposed by Kothari and Sloan (1992), reported that one-leading-year returns were as important as contemporaneous returns in terms of their sensitivity to annual changes in earnings. Jarmalaite (2002), on the basis of the methodology developed by the same Kothari, Sloan (1992), analysed the relationship between accounting data and stock price returns in the stock markets of Lithuania, Latvia and Estonia.…”
The paper explores the relationship between accounting information and stock returns of the companies listed on the Athens Stock Exchange (ASE) in the period 1998–2008. Publicly available financial data on the companies included in the ASE during 1998–2008 have been collected and processed. The data sample consists of 245 companies and varies from 2,166 to 1,441 firm-year observations. The research methodology has been based on the extension of the model introduced by Kothari and Sloan (1992) and investigates whether the level of earnings divided by price at the beginning of the stock return period is associated with returns in the context of ‘prices lead earnings’ using annual and quarterly data. Cross-sectional regression analysis points to a significant relationship between earnings and returns on measurement windows of one year and longer. Similar results have been found in the case of a cumulative model where earnings are aggregated up to four years; however, relationship in the short measurement window up to three quarters has resulted in low earnings response coefficients.
“…Além disso, a análise de cointegração indicou que ao incluir a correção de erro com base em variáveis de preço não estacionárias, melhorou significativamente a associação observada entre as variáveis contábeis e de mercado de ações. Jindrichovska (2001) investigou a relação entre os dados contábeis e o retorno do preço de mercado das ações das empresas listadas na Bolsa de Valores de Praga (PSE), por meio de uma análise de cointegração. Foram analisadas 63 empresas industriais da República Tcheca entre de 1993 a 1998.…”
Este estudo tem como objetivo analisar as propriedades de séries temporais dos lucros contábeis trimestrais e seu relacionamento com o preço (retorno) das ações nas empresas brasileiras com participações no Índice da Bolsa de Valores de São Paulo (Ibovespa) de 2010 a 2016, período após a adoção dos International Financial Reporting Standards (IFRS). Assim, das 58 empresas com ações ativas na data da coleta, foram analisadas 48 delas, uma vez que foram retiradas aquelas com ausência de informações nos referidos anos, totalizando, dessa forma, 1624 observações. Para isso, utilizou-se o modelo multivariado de séries temporais de vetores autorregressivos (VAR) e foram aplicados testes às séries temporais analisadas, a fim de verificar suas propriedades. Os achados da pesquisa apontaram que não há relação de longo prazo e nem causalidade entre os lucros trimestrais e o retorno das ações nas empresas estudadas. Além disso, foi observado que o retorno é mais sensível a mudanças nos lucros trimestrais do que o inverso. Por meio da decomposição da variância dos erros de previsão do lucro médio e do retorno médio, os resultados mostraram uma direção da causalidade no sentido de lucros trimestrais para retorno das ações. A função impulso-resposta permitiu observar, ainda, que o retorno é mais influenciado por choques do lucro do que o contrário, mostrando ajustamento a curto prazo.
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