运用路径分析整合会计和非财务信息:以互联网股票收益驱动因素为例

Anthony Kozberg
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引用次数: 2

摘要

摘要本文利用路径分析(一种在行为科学和自然科学文献中常见的方法,但在财务和会计中相对较少见)来改进从财务和非财务信息组合数据库中得出的推论。关注互联网公司的创收活动,本文扩展了互联网估值的文献,同时解决了在他们的测试中应用的互联网活动测量的潜在内生和多重共线性性质。结果表明,SG&A和R&D对网络活动度量具有显著的解释力,表明这些支出代表了对产品质量的投资。路径分析的证据还表明,会计和非财务指标,特别是SG&A和页面浏览量,都与公司收入显著相关。最后,本文提出了可以从路径分析方法中受益的其他会计研究领域。
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Using Path Analysis to Integrate Accounting and Non-Financial Information: The Case for Revenue Drivers of Internet Stocks
AbstractThis paper utilizes path analysis, an approach common in behavioral and natural science literatures but relatively unseen in finance and accounting, to improve inferences drawn from a combined database of financial and non-financial information. Focusing on the revenue generating activities of Internet firms, this paper extends the literature on Internet valuation while addressing the potentially endogenous and multicollinear nature of the Internet activity measures applied in their tests. Results suggest that both SG&A and R&D have significant explanatory power over the web activity measures, suggestive that these expenditures represent investments in product quality. Evidence from the path analysis also indicates that both accounting and non-financial measures, in particular SG&A and pageviews, are significantly associated with firm revenues. Finally, this paper suggests other areas of accounting research which could benefit from a path analysis approach.
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