交通银行召开全国电脑工作会议

交通银行召开全国电脑工作会议今年３月３１日——４月４日交通银行总行在上海召开了交通银行电脑工作会议，参加会议的有各管辖分行、直属分行主管电脑工作的总经理、各分支行电脑部门负责人、总行电脑部和有关部门的同志。会上总行陈恒平副总经理作了题为“提高认识、抓...     

交通银行总经理戴相龙谈一九九一年交通银行工作重点:改进服务 强化管理 办好公有股份制全国性综合银行

1991年1月15日,在北京召开的交通银行全国分(支)行总经理(经理)会议上,交通银行总经理戴相龙同志在总结1990年工作的基础上,部署了交通银行1991年的各项工作.1991     

《中国保险业发展蓝皮书（2004-2005）》出版

3月17日至18日，银监会召开全国银监局办公室主任工作会议暨银监会系统信息工作表彰会。银监会党委书记、主席刘明康专程到会看望了与会代表。银监会党委委员、纪委书记胡怀邦出席会议并讲话。     

与时俱进 加大力度 推动党风廉政建设和反腐败斗争深入开展——人民银行西安分行纪检监察工作会议综述

人民银行西安分行纪检监察工作会议3月4日在西安召开。会议传达贯彻了中央纪委第二次全会和人民银行纪检监察工作会议精神,回顾总结了2002年辖区金融纪检监察工作,安排部署了今年的党风廉政建设和反腐败工作任务。分行党委书记、行长胡怀邦同志代表分行党委作了《与时俱进,开拓     

交通银行领导亲切慰问年终决算员工

2011年12月31日，交通银行董事长胡怀邦、行长牛锡明、监事长华庆山等领导分赴北京、上海以及总行各部门亲切慰问为年终决算辛勤工作的一线员工。     

胡怀邦:交通银行新掌门

2008年9月,正当国际金融危机愈演愈烈、中国商业银行面临新考验的重要时期,胡怀邦接任蒋超良,成为交通银行的新掌门.     

交通银行领导亲切慰问年终决算员工

2010年12月31日，交通银行董事长胡怀邦、行长牛锡明、监事长华庆山等领导分赴新疆、北京、上海以及总行各部门亲切慰问为年终决算辛勤工作的一线员工。     

集中精力抓工作 扑下身子抓落实 全面完成2003年各项工作任务

2月17日——18日,人民银行西安分行工作会议在西安召开。会上,分行党委书记、行长胡怀邦同志作了题为《实践“三个代表”,服务“第一要务”.推动全辖人民银行各项工作再上新台阶》的主题报告,报告明确提出,2003年全辖人民银行工作的总体要求是:以党的十六大精神和“三个代表”重要思想为指导,按照中央经济工作会议和人民银行工作会议精神的要求,继续贯彻执行稳健的货币政策,积极服务“第一要     

交通银行

<正>以"二次改革"推进管理创新2011年8月2日,交通银行云南省分行召开2011年年中工作会议。会议总结了该行上半年业务发展和经营管理取得的成绩和存在的问题,对下半年该行的发展指明方向。会上,云南省分行行长李大军     

服务实体经济是一种社会责任——交通银行创新金融服务方式纪实

作为一家大型商业银行，交通银行一直把服务实体经济作为首要任务，通过一系列的业务模式创新，实现资源合理配置，提升服务实体经济的水平与质量。用交通银行董事长胡怀邦的话来说，“切实服务实体经济的发展。是银行的社会责任”。     

美元强势仍将延续外汇市场走势分化

2014年主要经济体复苏进程和货币政策分化,下半年以来,国际外汇市场货币走势分化,市场交易量持续上升,波动性加大。文章基于2014年以来国际外汇市场走势及其影响因素的分析,展望国际外汇市场当前分化走势的延续性。     

Resource rents; when to spend and how to save

Countries with substantial revenues from renewable resources face a complex range of revenue management issues. What is the optimal time profile of consumption from the revenue, and how much should be saved? Should saving be invested in foreign funds or in the domestic economy? How does government policy influence the private sector, where sustainable growth in the domestic economy must ultimately be generated? This paper develops the issues in a simple two-period model, and argues that analysis must go well beyond the simple permanent income approach sometimes recommended.     

Knowing what to sell, when, and to whom

Despite an abundance of data, most companies do a poor job of predicting the behavior of their customers. In fact, the authors' research suggests that even companies that take the greatest trouble over their predictions about whether a particular customer will buy a particular product are correct only around 55% of the time--a result that hardly justifies the costs of having a CRM system in the first place. Businesses usually conclude from studies like this that it's impossible to use the past to predict the future, so they revert to the timeworn marketing practice of inundating their customers with offers. But as the authors explain, the reason for the poor predictions is not any basic limitation of CRM systems or the predictive power of past behavior, but rather of the mathematical methods that companies use to interpret the data. The authors have developed a new way of predicting customer behavior, based on the work of the Nobel Prize-winning economist Daniel McFadden, that delivers vastly improved results. Indeed, the methodology increases the odds of successfully predicting a specific purchase by a specific customer at a specific time to about 85%, a number that will have a major impact on any company's marketing ROI. What's more, using this methodology, companies can increase revenues while reducing their frequency of customer contact-evidence that overcommunication with customers may actually damage a company's sales.     

Fintech and access to finance

This article surveys research on the effects of digitalization on access to finance. We focus the review on access through fintech. We review the growth of three main fintech technologies, fintech lending (incl. peer-to-peer lending), crowdfunding and initial coin offerings. We discuss existing evidence on how fintech affects access to finance for firms and investors and consider the regulatory challenges it poses. We incorporate the papers in this special issue, underlining their significant contributions to our understanding of the digitalization of finance and its effects. Finally, we discuss the challenges of research in the digital finance area and propose some new avenues for future research.     

Response to Nelson and Schwartz

In responding to Nelson and Schwartz's [2008. The impact of Milton Friedman on modern monetary economics: setting the record straight on Paul Krugman's “Who was Milton Friedman?”. Journal of Monetary Economics 55, this issue] critique of my “Who Was Milton Friedman”, I focus on three central economic topics: (i) whether it is reasonable to claim that the Federal Reserve caused the Great Depression; (ii) whether monetary policy had the power to engineer an economic recovery after the onset of the depression; and (iii) whether monetarism succeeded or failed. On all these key points, I reject the criticisms of Nelson and Schwartz.     

Driven to Distraction: Extraneous Events and Underreaction to Earnings News

Recent studies propose that limited investor attention causes market underreactions. This paper directly tests this explanation by measuring the information load faced by investors. The  investor distraction hypothesis  holds that extraneous news inhibits market reactions to relevant news. We find that the immediate price and volume reaction to a firm's earnings surprise is much weaker, and post-announcement drift much stronger, when a greater number of same-day earnings announcements are made by other firms. We evaluate the economic importance of distraction effects through a trading strategy, which yields substantial alphas. Industry-unrelated news and large earnings surprises have a stronger distracting effect.     

Assessing risk-taking: what to measure and how to measure it

Abstract

Risk-taking has been a major field of interest for scientists and for applied purposes since decades. However, many researchers have noted that the current measurement instruments fail to show adequate validity and predictive power. Given the recent calls to develop new measures, this paper aims to highlight six key points that should be kept in mind when constructing or using measures of risk-taking concepts. Specifically, we encourage risk-taking scholars (a) to pay close attention to the terminology used in studies, (b) to distinguish measures of general and specific risk-taking, (c) to distinguish risk-taking from the appeal of risky activities, (d) to keep in mind the subjectivity of risk-taking, (e) to consider the measurement of passive risk-taking, and (f) to favour more realistic risk-taking tasks. Overall, these recommendations should help researchers to design and use more relevant risk-taking measures.