Risk management and corporate social responsibility

杠杆(统计) 企业社会责任 波动性(金融) 业务 风险管理 精算学 会计 经济 财务 生态学 计算机科学 生物 机器学习
作者
Sol Kim,Geul Lee,Hyoung‐Goo Kang
出处
期刊:Strategic Management Journal [Wiley]
卷期号:42 (1): 202-230 被引量:138
标识
DOI:10.1002/smj.3224
摘要

Abstract Research Summary We introduce an innovative method of identifying the risk‐management benefit of corporate social responsibility (CSR). Option‐implied volatility captures the financial markets' expectations of a firm's future risk, so if CSR is related to risk‐management benefits, it should be related to lower implied volatility. We find that CSR is associated with low implied volatility and that CSR's insurance benefit is larger for firms that have high leverage, growth opportunities, or uncertainty. However, CSR as an insurance mechanism is less beneficial to firms that are already sound (i.e., those that have high market value and good accounting and financial performance). The results reveal the “terms” of a CSR‐as‐insurance contract, confirm that CSR creates risk‐management benefits, and suggest that financial markets price this benefit in economically significant ways. Managerial Summary We suggest a practical technique of evaluating a firm's CSR policy. For example, a manager would simply check how a firm's implied volatility changes as its CSR policy changes. Or, the manager can compare a firm's and its comparable firms' implied volatilities to knowhow financial markets perceive the firm's CSR differently. Option implied volatilities could guide a firm to identify proper CSR‐based risk‐management policies because they have the advantage of being ex ante, real‐time, and objectively observable market‐pricing information in identifying the risk‐management benefit of CSR. Our results also illustrate how a financial expert can use the valuable insight of strategic management literature about CSR‐as‐insurance to price derivative contracts.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Mr祥发布了新的文献求助10
刚刚
爬不起来发布了新的文献求助10
刚刚
刚刚
1秒前
CCCC完成签到,获得积分20
1秒前
2秒前
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
meng发布了新的文献求助10
3秒前
英姑应助hlt采纳,获得10
3秒前
科研牛马人完成签到,获得积分10
3秒前
fish1998发布了新的文献求助10
4秒前
4秒前
Sunny发布了新的文献求助10
4秒前
4秒前
11发布了新的文献求助10
4秒前
lienafeihu完成签到,获得积分10
5秒前
小二郎应助曾经的芷波采纳,获得10
5秒前
鲨鱼辣椒发布了新的文献求助10
5秒前
量子星尘发布了新的文献求助10
6秒前
6秒前
啵啵完成签到,获得积分10
6秒前
6秒前
Ava应助李清水采纳,获得10
6秒前
谦让的忆文完成签到,获得积分10
7秒前
蓝墨轩完成签到 ,获得积分10
7秒前
上班之后就像退休完成签到 ,获得积分10
8秒前
zzt完成签到,获得积分20
8秒前
8秒前
8秒前
许珺尧发布了新的文献求助10
9秒前
小圭发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
春花发布了新的文献求助30
10秒前
科研通AI6.1应助南北采纳,获得10
10秒前
10秒前
无花果应助jos采纳,获得30
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
从k到英国情人 1700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5776435
求助须知:如何正确求助?哪些是违规求助? 5629479
关于积分的说明 15442901
捐赠科研通 4908608
什么是DOI,文献DOI怎么找? 2641332
邀请新用户注册赠送积分活动 1589287
关于科研通互助平台的介绍 1543910