Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Neuroeconomics: Why Economics Needs Brains

Neuroeconomics uses knowledge about brain mechanisms to inform economic theory. It opens up the “black box” of the brain, much as organizational economics opened up the theory of the firm. Neuroscientists use many tools—including brain imaging, behavior of patients with brain damage, animal behavior and recording single neuron activity. The key insight for economics is that the brain is composed of multiple systems which interact. Controlled systems (“executive function”) interrupt automatic ones. Brain evidence complicates standard assumptions about basic preference, to include homeostasis and other kinds of state‐dependence, and shows emotional activation in ambiguous choice and strategic interaction.     

如何提高我国金融业的国际竞争力

针对经济全球化和我国金融业的对外开放，文章从金融创新、金融风险、金融体制改革等方面论述了我国金融业面对挑战应采取的措施。     

The choice and timing of foreign direct investment under uncertainty

This paper sheds new light on why timing and entry mode should be considered simultaneously in the international investment literature. We derive the profit levels at which it is optimal to switch from exporting to setting up a wholly owned subsidiary, creating a joint venture, or licensing production to a local firm. The preferred entry mode depends on uncertainty about future profits, tax differentials between the home and the foreign country, the cost advantages of local firms, institutional requirements, and the degree of cooperation between partners in a joint venture.     

不同财务管理目标下业绩评价选择及其关系处理

从财务管理目标出发考察企业业绩评价方法的演变过程，是为了在它们之间建立一种联系。不同的财务管理目标下，企业的业绩评价选择会有很大的差异，而其总体趋势是选择综合业绩评价方法。在不同的财务管理目标下选择不同的业绩评价指标时，又要处理好三对关系：短期发展与长期发展、局部利益与全局利益、财务指标与非财务指标。     

股份制取代合作制是历史的必然——对中国农村金融制度选择的思考

目前，合作金融在中国遇到了种种困惑，这不是合作金融本身的错。一方面中国从来就没有建立过真正的合作金融；另一方面合作金融与中国当前的经济环境也不相适应。而那种异化了的合作金融既没有存在的必要，也没有存在的可能。股份制取代合作制是一种历史的必然。     

Technical analysis as the representation of typical cognitive biases

The present research provides a justification for the popularity of the technical analysis. It finds that financial analysts firmly discriminate between two types of technical signals—those based on typical cognitive biases and “empty” signals that sound like a technical analysis but are without any connotation with psychological inclinations.At the same time that they treat them differently, different analysts rate these items very similarly. These results suggest that the popularity of technical analysis is associated with its relation to the typical cognitive biases of humans.     

对新疆财政工作的现实思考

在市场经济条件下,财政具有优化资源配置、调节收入分配和协调经济发展等重要功能。因此,做好财政工作对经济快速发展和社会全面进步具有重要的推动作用。本文主要对新疆财政收支的基本状况、财政工作中存在的问题及新疆财政工作的特殊性进行了分析,在此基础上提出了今后新疆财政工作的基本思路。     

商业银行发展汽车金融业务的策略分析

当前,汽车市场出现井喷式增长,各商业银行相继推出新的汽车金融业务.为应对外来汽车金融公司的同业竞争,避免再次陷入“车贷信用危机“,商业银行应积极借鉴国外的业务发展经验,针对自身业务发展障碍,制定合理的策略,审慎发展.