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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of business finance & accounting 23 (1996), S. 0 
    ISSN: 1468-5957
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: The aim of this study is to provide an examination of short-term earnings forecasts for evidence of systematic over-reaction. Analysts' predicted changes in earnings are compared with the realised changes to identify the contribution of systematic error (bias and generalised over-reaction) to the mean square error. A second analysis investigates whether analysts over-react to prior earnings changes. For both analyses, the impact of firm size and analysts' broker status are investigated.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Journal of business finance & accounting 28 (2001), S. 0 
    ISSN: 1468-5957
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: This study investigates long run overreaction and seasonal effects for Malaysian stocks quoted on the Kuala Lumpur Stock Exchange (KLSE), for the period 1986–1996. Stocks exhibiting extreme returns relative to the market over a three year period experience a reversal of fortunes during the following three years. There is also evidence that employing a contrarian trading strategy may yield excess returns. Of particular interest is the apparent existence of a Chinese New Year effect in both the level of market returns, and the overreaction profile for KLSE stocks. These seasonalities mirror the January-effect observed in US markets.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Oxford, UK and Boston, USA : Blackwell Publishing Ltd
    Journal of business finance & accounting 31 (2004), S. 0 
    ISSN: 1468-5957
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: Abstract:  This article examines the ability of current accounting data to explain future cash flows for UK firms, as disclosed under FRS1(1991). Rather than examining price data — from which cash flow implications have to be inferred — we follow the more direct approach used in several recent US studies, in which actual future cash flow data are examined. Specifically, our methodology is a development of the OLS regression framework employed by Barth et al. (2001). We provide a replication of their main OLS analysis, and then extend this to deal with fixed effects and time trends in the levels of cash flow data. Our study finds that the disaggregation of earnings into cash flows and accruals, generates superior explanatory power with regard to future cash flows.
    Type of Medium: Electronic Resource
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