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We use machine learning for relative valuation and peer firm selection. In out-of-sample tests, our machine learning models substantially outperform traditional models in valuation accuracy. This outperformance persists over time and holds across different types of firms. The valuations produced by machine learning models behave like fundamental values. Overvalued stocks decrease in price and undervalued stocks increase in price in the following month. Determinants of valuation multiples identified by machine learning models are consistent with theoretical predictions derived from a discounted cash flow approach. Profitability ratios, growth measures, and efficiency ratios are the most important value drivers throughout our sample period. We derive a novel method to express valuation multiples predicted by our machine learning models as weighted averages of peer firm multiples. These weights are a measure of peer–firm comparability and can be used for selecting peer-groups. 相似文献
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The life cycle hypothesis of consumption assumes the household to take a life-time perspective on all resources available for consumption, and to use the assets accumulated during the life-time to fund later consumption. Typically, households in the middle, high earning years, are able to save; younger and older households borrow or dissave. For many, a large share of accumulated household assets reside in home equity. This paper analyzes the propensity to use home equity to fund current consumption using a logit analysis of homeowners. The results support earlier criticism of the life cycle hypothesis in finding that older households do not rely on dissaving from assets. Older homeowners are less likely to use home equity to fund current consumption than others. Both sociodemographic determinants of life cycle changes as well as income variables are significant determinants of willingness to use home equity. Liquidity considerations appear to be less important. 相似文献
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This paper examines the determinants of household alcohol expenditures by using a nonnormal and heteroscedastic double-hurdle model to accommodate zero observations in the sample. The model is a generalization of the double-hurdle model estimated in previous studies of alcohol consumption. We also examine the effects of explanatory variables by calculating and decomposing the elasticities. Findings support the use of a more generalized error distribution. Income, region, education, and household demographics are among the significant determinants of alcohol expenditures. 相似文献
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HELEN CHIPMAN PATRICIA KENDALL GARRY AULD MICHAEL SLATER THOMAS KEEFE 《The Journal of consumer affairs》1995,29(1):144-163
Audience segmentation and focus group methods were used to evaluate consumer reactions to a risk/benefit/option message about agricultural chemicals in the food supply. The approach was well-received and showed potential for raising consumers' concerns regarding health and environmental risks associated with pesticides, along with confidence in their ability to minimize exposure to residues. Concern and confidence increased most among consumers who already were concerned and who were most removed from agriculture. 相似文献
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