Corporate governance has emerged as a cornerstone of sustainable growth and trust in the banking sector. Sound governance ensures that banks safeguard depositor interests, maintain strong internal controls, and balance profitability with systemic stability. With the growing complexity of financial systems, regulators worldwide have laid increasing emphasis on governance frameworks to protect the integrity of…
The financial services sector today faces a rapidly evolving landscape of risks, largely driven by digitization, proliferation of electronic delivery channels, and rising sophistication of cyber threats. Banks and financial institutions must embed robust information security practices, adopt advanced technology safeguards, and frame resilient business continuity measures to protect customers, stakeholders, and the wider financial…
Organizations can materially reduce technology risk by enforcing disciplined lifecycle controls across change, access, monitoring, and vendor ecosystems, aligned to ISO/IEC 27001:2022 and NIST guidance. Patch management Change management Audit trails Security reporting and metrics Vendors and critical service providers Network security Remote access DDoS/DoS mitigation Implementing ISO/IEC 27001 Operational Risk Articles related to Model…
In today’s digital-first world, technology risk has become a critical concern for every organization. The growing dependence on information systems, connectivity, and data-driven decision-making brings immense opportunities—but also exposes enterprises to cyber threats, data breaches, and systemic vulnerabilities. Information security (InfoSec) forms the backbone of managing technology risk and ensuring resilience against the ever-changing threat…
Operational risk teams rely on two cornerstone tools to keep processes safe and compliant: Risk and Control Self-Assessment (RCSA) and Key Risk Indicators (KRIs). Together, they identify where things can go wrong, evaluate whether controls are working, and track early warning signals against clear risk appetite thresholds. The result is sharper visibility, faster escalation, and…
Introduction Operational risk loss data forms the foundation of a strong risk management framework. When collected and analyzed effectively, it transforms isolated incidents into enterprise-wide insights—supporting governance, capital planning, and stronger internal controls. By combining internal incident histories with external industry data, organizations can better address rare but severe risks, benchmark performance, and refine scenario…
Operational risk has become a central concern for financial institutions worldwide. Unlike credit or market risk, it is not confined to a specific category of transactions but permeates all organizational functions. Driven by emerging technologies, growing complexity in financial systems, and stricter regulatory expectations, operational risk demands a structured and strategic approach. Developments Giving Rise…
Overview and intentValue at Risk (VaR) estimates the maximum expected loss over a specified horizon at a chosen confidence level, giving a single, comparable summary of market risk across portfolios and desks. It answers: over horizon T, with confidence level p, what is the worst loss not exceeded under normal conditions. It is widely used…
Duration explained • Duration measures a bond’s sensitivity to interest rate changes and can also be viewed as the present value–weighted average time to receive cash flows, expressed in years. • Intuition: higher duration means greater price movement for a given yield change; lower duration dampens price swings. • For a small change in yield…
Interest rate risk is quantified using sensitivity-based measures that translate small yield changes into price and P&L impacts, enabling precise hedging and portfolio construction. This article explains core methods: the sensitivity approach, price value of a basis point (PVBP), portfolio PVBP computation, hedging using PVBP, other practical PVBP applications, and duration. Measurement of interest rate…
