"互联网+"背景下企业会计核算规范研究

"互联网+"时代的发展,给各个行业都带来了更多的机遇,在一定程度上促进了我国经济不断向前发展,对于企业财务管理的重点——会计核算来说,需要基于"互联网+"的时代背景下实现改革与创新.为此,文章针对相关内容展开了综合性的讨论与分析,首先阐述了"互联网+"下企业会计核算规范的重要性,其次列举了"互联网+"对企业会计核算规范的影响,探讨了"互联网+"下企业会计核算规范的问题,最后提出了优化措施.以期能够为企业会计核算规范提供更大程度的帮助.     

人工智能对会计人员未来职业发展的影响研究

人工智能时代下,会计人员未来职业发展将会发生巨大变化,研究会计人员未来职业发展问题,对提升会计人员工作水平有着十分重要的意义.文章基于人工智能时代财务转型的视角,结合管理会计,根据人工智能在会计领域的应用,首先分析人工智能时代与会计人员未来职业发展的关系,找出人工智能下会计人员未来职业发展的便利条件,提出人工智能时代会计人员未来职业发展仍存在的相关问题,最后从职业道德、职业知识、职业技能、职业能力、职业特质这五个方面分析会计人员未来职业发展前景,以期为人工智能时代会计人员未来良好发展提供借鉴.     

企业会计内部控制中存在的不足及改进方向

在现有市场经济体制中,国有和私有企业占据着主体地位.随着企业管理工作的不断发展,会计内部控制管理工作变得十分重要.做好会计内部控制相关工作,不仅有助于企业应对市场环境变化中的风险,还能有效强化企业整体的运行效率,促进企业更快、更好地发展.目前,企业会计内部控制工作存在一些问题,不利于企业的健康发展,文章主要结合企业会计内部控制的相关概念、改革必要性以及存在的问题,探究相应的解决措施和优化方案,以此推动企业的整体发展和进步.     

基于全面预算的国有企业内部控制工作实效性研究

近年来,我国社会经济呈现稳定发展的趋势.国有企业在社会经济的支持下,发展速度加快.但受市场变动不确定性的影响,国有企业的经营环境开始发生变化.国有企业为确保经营活动的有序开展,并在国际市场中占据一席之地,需要加强对全面预算与内部控制的重视,正确认识二者的关系,将全面预算作为国有企业内部控制的依据,提高内部控制水平.基于此,文章阐述了全面预算与内部控制的内涵,梳理了二者之间的关系,并分析了国有企业内部控制工作开展的现状,提出了全面预算下国企内部控制工作的强化措施.     

信息化环境下企业会计内部控制研究

信息技术的不断变革和发展,对企业管理提出了更高的要求.通过强化会计内控,能够帮助企业提升整体管理水平.信息化发展对内控产生了多方面的影响,比如控制环境、控制方式以及控制范围等,这些影响对企业造成了很大的挑战.基于信息化的背景,文章对内控进行了深入研究,通过分析信息化对内控的影响,总结出企业会计内控存在的问题,提出有效的解决措施,旨在推动企业更好地发展.     

Playing the synthesizer with Canadian data: Adding polls to a structural forecasting model

Election forecasting has become a fixture of election campaigns in a number of democracies. Structural modeling, the major approach to forecasting election results, relies on ‘fundamental’ economic and political variables to predict the incumbent’s vote share usually a few months in advance. Some political scientists contend that adding vote intention polls to these models—i.e., synthesizing ‘fundamental’ variables and polling information—can lead to important accuracy gains. In this paper, we look at the efficiency of different model specifications in predicting the Canadian federal elections from 1953 to 2015. We find that vote intention polls only allow modest accuracy gains late in the campaign. With this backdrop in mind, we then use different model specifications to make ex ante forecasts of the 2019 federal election. Our findings have a number of important implications for the forecasting discipline in Canada as they address the benefits of combining polls and ‘fundamental’ variables to predict election results; the efficiency of varying lag structures; and the issue of translating votes into seats.     

Forecasting recovery rates on non-performing loans with machine learning

We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential.     

Mortality,Human Capital and Persistent Inequality

Available evidence suggests high intergenerational correlation of economic status and persistent disparities in health status between the rich and the poor. This paper proposes a mechanism linking the two. We introduce health capital into a two-period overlapping generations model. Private health investment improves the probability of surviving from the first period of life to the next and, along with education, enhances an individual’s labor productivity. Poorer parents are of poor health, unable to invest much in reducing mortality risk and improving their human capital. Consequently, they leave less for their progeny. Despite convex preferences and technologies, initial differences in economic and health status may perpetuate across generations when annuities markets are imperfect.Additional support was provided by the National Science Foundation. Additional support was provided by the National Science Foundation.     

Piercing the Veil of Uncertainty in Transboundary Pollution Agreements

This paper addresses the question of how uncertainty in costs and benefits affects the difficulty of reaching a voluntary agreement among sovereign states. A measure of difficulty is constructed related to side-payments necessary to make an agreement a Pareto-improving move. Using a simple model, it is shown that uncertainty actually makes agreement easier.JEL classifications: Q5, H4, D7, D8An earlier version of this paper was presented at the Conference on Risk and Uncertainty in Environmental and Resource Economics, Wageningen, The Netherlands, June 2002.     

A simple search model of money with heterogeneous agents and partial acceptability

Summary. Simple search models have equilibria where some agents accept money and others do not. We argue such equilibria should not be taken seriously. This is unfortunate if one wants a model with partial acceptability. We introduce heterogeneous agents and show partial acceptability arises naturally and robustly. There can be multiple equilibria with different degrees of acceptability. Given the type of heterogeneity we allow, the model is simple: equilibria reduce to fixed points in [0,1]. We show that with other forms of heterogeneity equilibria are fixed points in set space, and there is no method to reduce this to a problem in R¹.Received: 4 September 2002, Revised: 23 September 2002JEL Classification Numbers: C78, E40.A. Shevchenko, R. Wright: We thank seminar participants at the Federal Reserve Bank of Cleveland, Indiana University, Purdue University, University of Toronto, the 2002 Midwest Macroeconomics Conference at Vanderbilt University, and the 2001 Conference on Economic Dynamics at the University of Essex. The National Science Foundation and the Federal Reserve Bank of Cleveland provided financial support. Braz Ministerio de Camargo and Gabriel Camera provided some helpful suggestions. Correspondence to: R. Wright