Using the valuation methods proposed by, we value the internally generated intangible assets of the listed companies in DS30 index by capitalizing relevant portions of R&D, advertising and training expenses. After adjusting for the changes in book value and earnings, we show that companies...

This paper investigates the value relevance of acquired intangible assets using a comprehensive hand-collected dataset for 1,647 publicly listed US-firms from 2002 to 2018. This dataset allows us to disentangle acquired intangible assets into different classes (e.g., tech-, customer-, contract-,...

Prior studies use fundamental earnings forecasts to proxy for the market's expectations of earnings because analyst forecasts are biased and are available for only a subset of firms. We find that as a proxy for market expectations, fundamental forecasts contain systematic measurement errors...

Prior studies use fundamental earnings forecasts to proxy for the market's expectations of earnings because analyst forecasts are biased and are available for only a subset of firms. We find that as a proxy for market expectations, fundamental forecasts contain systematic measurement errors...