讲座信息

01

概述

业务分析是指对组织的数据进行持续迭代探索和调查，以提高其业务绩效的实践。业务分析背后的驱动力是将数据转化为更好的业务决策，使组织能够在竞争激烈的商业环境中生存。商业分析是一个跨学科领域，依赖于商业洞察力、专家知识、高质量数据、数据管理技术和数据分析算法。

企业风险管理（ERM）是一种整体风险管理方法，用于将组织内的所有风险作为一个投资组合进行管理，自20世纪90年代以来，它已被很大一部分上市公司采用。企业风险管理被认为可以通过创造竞争优势、提高风险意识、在多元化业务部门之间创造协同效应以及降低风险成本，从微观和宏观层面为企业增加价值。尽管企业风险管理对风险识别、风险缓解、信息共享以及对企业绩效和价值的潜在相应益处具有积极影响，但之前的实证研究表明，在系统性危机期间和之后，企业风险管理的作用结果喜忧参半。研究表明，由于对企业风险管理的好处过于自信，几家具有复杂风险管理的公司在动荡的环境中经历了更高的失败率。例如，尽管拥有强大的企业风险管理，但Countrywide Mortgage等保险公司在2008年金融危机期间仍面临破产。

本研究的重点是彻底检查上市公司采用企业风险管理的情况，以便进一步研究企业风险管理对这些公司的实际影响。我们提出了一种业务分析方法，用于确定上市公司在年度财务披露中采用企业风险管理的情况，包括10-K、DEF-14A和PRE-14A文件。

02

主讲人

汪海博士

03

时间

2024年9月18日（本周三）

15:00-17:00

04

地点

9教101

主讲嘉宾介绍

汪海博士是加拿大圣玛丽大学索贝商学院金融、信息系统和管理科学系的教授。2004年至2016年，他在同一系先后担任助理教授和副教授。他还在加拿大达尔豪斯大学计算机科学系担任兼职教授。他于1995年获得加拿大新不伦瑞克大学计算机科学学士学位，并于1997年和2004年分别获得加拿大多伦多大学计算机科学硕士和博士学位。他的研究目前由加拿大自然科学与工程研究委员会（NSERC）和加拿大社会科学与人文研究委员会（SSHRC）资助。

Lecture Information

01

Abstract

Business analytics refers to the practice of continuous iterative exploration and investigation of an organization’s data to improve its business performance. The driving force behind business analytics is transforming data into better business decisions and enabling the organization to survive in the competitive business environment. Business analytics is an interdisciplinary field that relies on business insights, expert knowledge, high-quality data, data management technologies, and data analytics algorithms.

Enterprise Risk Management (ERM) is a holistic risk management approach to managing all risks within an organization as a portfolio, and it has been adopted by a significant portion of publicly traded firms since the 1990s. ERM is believed to add value to a firm from both the micro-level and the macro-level by creating competitive advantages, increasing risk awareness, creating synergies among diversified business units, and reducing the cost of risk. Despite the positive effects of ERM on risk identification, risk mitigation, information sharing, and the potential corresponding benefits to firm performance and value, previous empirical research indicated mixed results on the role of ERM during and after a systematic crisis. It has been shown that several firms with sophisticated risk management experienced a higher failure rate in turbulent environments because of overconfidence in the benefits of ERM. For example, insurance companies such as Countrywide Mortgage faced bankruptcy during the 2008 financial crisis, despite having strong ERM.

This study focuses on a thorough examination of the adoption of ERM in publicly traded firms so that the real effects of ERM on these firms can be further studied. We propose a business analytics approach to identifying the adoption of ERM by publicly traded firms in their annual financial disclosures, including the 10-K, DEF-14A and PRE-14A filings.

02

Lecturer

Dr.Hai Wang

03

Time

September 18, 2024

15:00-17:00

04

Location

9-101

Guest introduction

Hai Wang is a Professor in the Department of Finance, Information Systems and Management Science at the Sobey School of Business at Saint Mary’s University, Canada. He was an Assistant Professor and then Associate Professor in the same department from 2004 to 2016. He also holds an adjunct professor appointment in the Faculty of Computer Science at Dalhousie University, Canada. He received his B.Sc. in Computer Science from the University of New Brunswick, Canada, in 1995, and his M.Sc. and Ph.D. in Computer Science from the University of Toronto, Canada, in 1997 and 2004 respectively. His research is currently funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Social Sciences and Humanities Research Council of Canada (SSHRC).

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