Machine learning for financial transaction classification across companies using character-level word embeddings of text fields

An important initial step in accounting is mapping financial transfers to the corresponding accounts. We devised machine-learning-based systems that automate this process. They use word embeddings with character-level features to process transaction texts. When considering 473 companies independently, our approach achieved an average top-1 accuracy of 80.50%, outperforming baselines that exclude the transaction texts or rely on a lexical bag-of-words text representation. We extended the approach to generalizes across companies and even across different corporate sectors. After standardization of the account structures and careful feature engineering, a single classifier trained on 44 companies from 28 sectors achieved a test accuracy of more than 80%. When trained on 43 companies and tested on the remaining one, the system achieved an average performance of 64.62%. This rate increased to nearly 70% when considering only the largest sector.     

Financial scandals: a historical overview

I examine the incidence of fraud from c.1720 to 2009 and relate it to the occurrence of significant financial scandals. Focusing on the UK, and US prior to Enron, and using a detailed dataset of significant events and news content, underpinned by examination of specific watershed scandals, the paper highlights the regulatory response to scandals and the implications for accounting and financial reporting. The evidence reveals the incidence of fraud and financial scandal to be historically contingent and skewed towards certain sectors, particularly banking and finance, facilitated by complex group structures and international capital mobility, and mediated by managerial incentives and ownership concentration. Financial reporting and auditing can mitigate fraud opportunities in all sectors and businesses without complex group structures, and the accounting profession achieved some success in this respect up to the mid-1970s. Since then, the profession has been increasingly challenged by, and to some degree implicated in, the development of interconnected and international business networks, which, combined with wider financial deregulation, has led to a resurgence of fraud and financial scandal not previously experienced since the mid-nineteenth century.     

公司治理结构与会计信息失真防范

我国会计信息失真严重,与其自身的背景有相当大的关系,部分是技术上的原因,大部分则是制度或体制上的原因,公司治理不完善就是一个最重要的方面,因此,仅仅靠会计是不能从根本上解决会计信息失真问题的,而必须完善我国的公司治理结构。     

Smart work and hard work: explicating a learning orientation in strategic management accounting

This paper examines the skills and aptitudes necessary to undertake a strategic management accounting project. It argues that individuals involved in such projects are required to work both smart and hard. This argument is developed theoretically by reference to the work of educational psychologists who have identified two different types of goal orientation which people pursue in achievement situations: the learning orientation and the performance orientation. Evidence that strategic management accounting requires a learning orientation is provided by means of a case study which describes its use in a competitive tendering situation. This is followed by a discussion of the potentially symbiotic relationship of strategic management accounting and organizational learning. The discussion leads to the specification of a research agenda that may have significant implications for the practice and learning of management accounting.     

Relative risk aversion, relative prudence and comparative statics under uncertainty: The case of (μ, σ)‐preferences

From the expected‐utility approach, relative risk aversion being smaller than one and relative prudence being smaller than two emerge as preference restrictions that fully determine the optimal responses of decisions under uncertainty to certain shifts in probability distributions. We characterize the magnitudes of relative risk aversion and relative prudence in terms of the two‐parameter, mean‐standard deviation approach. We demonstrate that this characterization is instrumental in obtaining comparative static results in the two‐parameter setting. We further relate our findings to the results in the expected‐utility framework.     

加强会计诚信建设 提高会计信息质量

会计信息是国家的宏观经济管理部门、企业经济管理部门及其他方面进行决策的依据。会计信息真实客观与否，直接影响着企业经营管理、国家宏观调控、广大股东的投资决策，势必影响市场经济的有效健康发展。从根本上建立一套与市场经济相适应的会计信息质量保障体系势在必行，而整个体系的建立和健全是一个任重而道远的过程。在这个过程中，会计诚信也成了整个市场经济发展的职业道德规范，笔者就此谈谈几点看法。     

考虑供给与需求波动性的安全库存定量研究

本文以商业企业和MTS模式下生产企业的安全库存为研究对象,将供给与需求的变动程度作为两个动态指标研究四种不同战略与运营环境下的安全库存模型,并进一步分析了降低安全库存所需的管理杠杆.     

试论二元经济形态下的会计模式

本文分析了在知识经济兴起的环境下我国现行会计模式存在的缺陷,并根据知识经济发展的历程以及我国目前工业经济与知识经济并存的现状,提出了一种能适应两种经济形态的兼容性会计模式,最后指出了目前实施该模式尚存在的制约因素。     

高校财务实行内部会计控制的几点思考

分析了高校实施内部会计控制的背景和存在的主要问题,表述了对高校内部会计控制的方法和关键控制点,提出了解决目前高校内部会计控制存在问题的解决方法和主要对策.