Document Type : Research Paper
Abstract
The importance of intangible assets in firm's success is increasing. So giving insight about its quality and measurement metrics is vital for the firms. In knowledge based economy, intangible assets must be the basis of development. Hence intangible assets management is very important and this management without measurement of intangibles isn’t efficient and effective. The aim of this research is to investigate value relevance of intangibles especially unrecorded intangibles and its usefulness in predicting of future cash flow and earnings. The model of Arefmanesh and Rahmani (1394) was used to measure unrecorded and total intangibles. Analyzing of data panel of 143 firms from 1386 to 1392 indicate that there is significant difference between high and low Tec firms intangible assets have positive and significant relation with market value of firms. Also according to research results information about intangible assets is a good predictor of future cash flows and earnings especially in high tech and intermediate high tech firms. Therefore base on findings of this research intangible assets provide useful information for decision of financial statement users.
Tsai Chih-Fong, Lu Yu-Hsin, Yen C.David (2012). Determinants of intangible assets value: The data mining approach. Knowledge-Based Systems 31:67–77.