It is debatable if the of world is today more “risky” or more “dangerous” than in the past. Today there is a new mood of risk management and the current financial crisis represents the latest case study of a “financial tsunami” on what can happen if risks are not orderly managed. Scandals, disasters and failures challenge organizations; hence risks must be made auditable and manageable. Risk management organizes things that cannot be organized, because individuals, organizations and governments have no choice, but to accept this.
Some of the risks can be pooled and redistributed via health and welfare systems. It is a matter of fact that the world is an unpredictable place and that uncertainty about the future, which could result in an adverse outcome, will always exist. Therefore risks require management.
Table of Contents
1 Introduction
2 Risk Management
2.1 The new risk environment
2. 2 The concept of risk management and its importance
2.2.1 Risk management processes and its key principles
2.2.2 Different kinds of risks
3. Risk Management in the Banking Sector
3.1 The rise of finance
3.2 HSBC Bank
3.2.1 Types of risks HSBC has to face
3.2.2 Risk Management Strategies for HSBC
4 Conclusion
Objectives and Core Topics
The paper examines the evolution and critical importance of risk management within modern organizations, with a specific focus on the banking sector and the strategies employed by HSBC to navigate an increasingly volatile financial landscape.
- The shifting global risk environment and the necessity of systematic risk management.
- Core principles and the cyclical process of risk assessment and mitigation.
- Classification of diverse risk types, including credit, market, and reputational risks.
- Institutional risk management strategies, including the use of derivatives, outsourcing, and corporate diversification.
- Evaluation of regulatory frameworks like Basel II in the context of global banking stability.
Excerpt from the Book
3.2.1 Types of risks HSBC has to face
The researcher explains each of the risks HSBC faces and categorizes them (Priority A – E). Thus the reader gains a better imagination which risks are more crucial than others.
First and foremost the most significant risk, HSBC faces is the credit risk. A change in the credit of the counterparty will affect the value of a security or a portfolio, whereby the counterparty or customer default on payment obligations. Principally, this arises from direct lending, trade finance and leasing business. Credit risk generates the largest regulatory capital requirement. Managing credit risk is part of the overall risk function at HSBC. It operates across the group as an independent credit control unit while it is engaged with other business units to set priorities (HSBC Holdings Plc, 2009, p. 201).
Another risk that banks like HSBC have to take into account is liquidity risk, which compromise both funding liquidity risk and asset liquidity risk. Institutions might be unable to pay bills, generate resources in order to meet liabilities or have general cash flow problems. Bank liquidity depends on lending and borrowing between financial institutions. The current financial crisis demonstrated that highly liquid markets can easily dry up and need a better surveillance system (Bessis, 2010, p. 34). Therefore the researcher decided to put the liquidity risk also to priority A.
Summary of Chapters
1 Introduction: Provides an overview of the increasingly risky modern environment and the growing necessity for organizations to implement systematic risk management programs.
2 Risk Management: Defines the conceptual foundations of risk management, its evolving nature in the post-9/11 era, and the standard processes required to identify, analyze, and treat various risk categories.
3. Risk Management in the Banking Sector: Analyzes the high-risk environment of the modern banking industry and conducts a detailed case study on how HSBC categorizes and manages its exposure to specific financial risks.
4 Conclusion: Summarizes the effectiveness of contemporary risk management frameworks while offering a critique of reliance on certain models, such as Value at Risk (VAR), during extreme market events.
Keywords
Risk Management, HSBC, Financial Crisis, Credit Risk, Liquidity Risk, Market Risk, Basel II, Value at Risk, Derivatives, Corporate Diversification, Operational Risk, Reputational Risk, Strategic Planning, Financial Institutions, Risk Mitigation.
Frequently Asked Questions
What is the core focus of this publication?
This paper explores the theoretical framework of organizational risk management and applies these concepts to the banking industry, specifically investigating how HSBC manages risks.
What are the primary thematic areas covered?
The main themes include the definition of risk, the risk management process, the categorization of financial risks, and the strategic tools used by global banks to mitigate them.
What is the main objective of the research?
The goal is to analyze the risk landscape in banking and determine how large financial institutions like HSBC balance profitability with the necessity of maintaining robust, sustainable risk management systems.
Which scientific methodology is applied?
The work utilizes a descriptive, theory-based approach combined with a qualitative case study analysis of HSBC's risk management strategies and regulatory compliance.
What topics are discussed in the main body?
The main body covers the conceptual definitions of risk, the risk assessment process, specific risk types (credit, market, reputational, etc.), and management techniques like diversification and derivative usage.
Which keywords best characterize this work?
Key terms include Risk Management, HSBC, Credit Risk, Liquidity Risk, Basel II, and Value at Risk (VAR).
How does HSBC classify the risks it faces?
HSBC categorizes its risks into priority levels (Priority A to E), which helps the bank prioritize resources and management focus on the most threatening issues like credit and liquidity risk.
Why does the author critique the use of Value at Risk (VAR)?
The author argues that VAR models often rely too heavily on historical data and fail to account for extreme, unforeseen events, as demonstrated by the recent financial crisis.
- Citation du texte
- Sarah Bertram (Auteur), 2010, Risk Management in Banks, Munich, GRIN Verlag, https://www.grin.com/document/179100
