Posted: Aug 27, 2016
The intersection of economic policy and accounting practices represents a critical yet underexplored domain in financial reporting research. Economic policy changes, whether in the form of fiscal adjustments, monetary interventions, or regulatory reforms, create complex environments that influence corporate decision-making and financial reporting behaviors. Accounting conservatism, defined as the tendency to require stronger verification for recognizing good news than bad news in financial statements, serves as a fundamental principle that shapes how firms respond to these policy-induced uncertainties. Traditional research in this area has predominantly employed conventional econometric techniques that, while valuable, often fail to capture the multidimensional nature of policy-accounting relationships. This study introduces an innovative computational framework that transcends traditional methodological boundaries by integrating techniques from natural language processing, time-series analysis, and behavioral economics. Our approach enables a more nuanced examination of how accounting conservatism evolves in response to policy changes, addressing several limitations in existing literature. Specifically, we develop a multi-modal analytical system that simultaneously processes policy documents, corporate financial disclosures, and implications.
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