Impairment losses: causes and impacts

Purpose - To analyze recognition of impairment losses in tangible and intangible assets, and their relevance to investors in companies listed in the Lisbon and Madrid Stock Exchange (2007-2011).Methodology - Quantitative analysis of a panel data sample of 80 companies listed in the Lisbon and Madrid Stock Exchange (2007-2011) was carried out. Panel data linear and non-linear regression models were estimated.Findings - We found that the amount of impairment losses showed an upward trend, and that these losses are most significant among intangibles, especially goodwill (GW). We also found that the probability of recognition of impairment losses is positively influenced by the dimension of entities and negatively by market value (p < 0.10). Portuguese export-oriented companies have a higher probability of not recognizing impairments. However, Portuguese companies with higher market values have greater probability of recognizing impairment losses, contrary to the sample as a whole, in which the relationship is negative (p < 0.10). The results also suggest that there is a smoothing effect on results because of impairments, especially in IBEX35 companies. As to the relevance of impairment losses to market value, we confirm a significant negative relationship, in line with conclusions from previous studies.Originality/value - This study contributes to the introduction of the cultural factor in this analysis, highlighting the differentiated behaviors between Portuguese and Spanish companies

Condensate Heating by Atomic Losses

Atomic Bose-Einstein condensate is heated by atomic losses. Predicted depletion ranges from 1% for a uniform 3D condensate to around 10% for a quasi-1D condensate in a harmonic trap.Comment: 4 pages in RevTex, 1 eps figur

Credit losses in Australasian banking

We analyse determinants of bank credit losses in Australasia. Despite sizeable credit losses over the past two decades, ours is the first systematic study to do so. Analysis is based on a comprehensive dataset retrieved from original financial reports of 32 Australasian banks (1980- 2005). Credit losses rise when the macro economy is weak. Asset markets, particularly the equity market, are also important. Larger banks provide more for credit losses while less efficient banks have greater asset quality problems. Strong loan growth translates into significantly higher credit losses with a lag of 2-4 years. Finally, the results show strong evidence of income smoothing activities by banks

Honey bee colony losses

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Hidden Equilibration Driven Losses in Whitecapping

The role of whitecapping losses of waves is investigated in a simple model based on conservation laws. It is shown that, for Airy waves, at least as much energy is lost in gradual reequilibration as is lost in the whitecapping events themselves. This model is based on the the notion that the waves and losses are small enough that some narrow spectrum of frequencies reappears over time