It involves the assessment of various financial risks, such as market fluctuations, credit defaults, liquidity shortages, and operational failures, among others. By implementing strategies, such as diversification, hedging, insurance, and contingency planning, financial risk management aims to protect assets, optimize returns, and ensure the long-term viability of a business or investment portfolio.
Start here
3 articles · 39 min
-
Value at Risk (VaR): Formula, Methods, and Examples
Value at Risk (VaR) measures the loss threshold not expected to be exceeded at a given confidence level over a specified time horizon.
-
Expected Shortfall (CVaR): Formula, Calculation, and Examples
Expected Shortfall (CVaR) measures the average loss in the worst-case tail of a portfolio return distribution, answering the question VaR leaves open: how bad…
-
Counterparty Credit Risk (EPE, ENE, PFE, EE) Explained
Counterparty credit risk is the risk that an OTC derivative counterparty defaults before fulfilling its obligations.
Value at Risk
6 parts · 37 min
VaR Historical Method: How It Works
Complete guide to the VaR historical method — how it uses past portfolio returns to estimate Value at Risk without distributional assumptions.
VaR Parametric Method: Variance-Covariance Approach
Complete guide to the parametric VaR method — how the variance-covariance approach uses normal distribution assumptions to calculate Value at Risk.
VaR Monte Carlo Method: Simulation-Based Risk Analysis
Complete guide to the Monte Carlo VaR method — how simulation-based risk analysis generates thousands of scenarios to estimate Value at Risk.
Historical Method: Value at Risk (VaR) In Python From Python for Finance
In this blog post, we will demonstrate how to perform Value at Risk (VaR) calculations using the historical method for a portfolio of stocks.
Parametric Method: Value at Risk (VaR) In Python From Python for Finance
In this blog article, we will demonstrate how to calculate the Value at Risk (VaR) for a portfolio of stocks using the parametric method, also known…
Monte Carlo Method: Value at Risk (VaR) In Python From Python for Finance
In this blog post, we will demonstrate how to perform a Value at Risk (VaR) simulation based on the Monte Carlo Method for a portfolio of stocks using Python…
Risk Management at Financial Institutions
8 parts · 2 hours
Insurance Companies & Risk Management: Life, P&C, and Reinsurance
Insurance risk management covers the specialized techniques insurers use to identify, quantify, and mitigate underwriting, investment, and catastrophe risks…
Risk Model Failures in 2008: What Quantitative Models Missed
The 2008 financial crisis exposed fundamental failures in quantitative risk models — from Gaussian copula limitations and fat-tail blindness to liquidity risk…
Extreme Value Theory in Finance: Tail Risk, GEV, and GPD
Extreme Value Theory (EVT) provides a mathematical framework for modeling catastrophic tail losses that normal distributions dramatically underestimate.
Model Risk Management: Validation, Governance & SR 11-7
Model risk management is the framework of policies, processes, and controls for managing the risk that financial models produce incorrect outputs.
Basel Liquidity Ratios: LCR & NSFR Explained
The Liquidity Coverage Ratio (LCR) and Net Stable Funding Ratio (NSFR) are Basel III regulatory standards that require banks to maintain adequate liquid assets…
Default Correlation & Gaussian Copulas: Modeling Joint Default
Default correlation measures how likely multiple borrowers are to default together. This guide covers the Gaussian copula model, CDO tranche sensitivity…
Credit Risk Migration: Transition Matrices & Ratings Dynamics
Credit migration matrices show the probability of a borrower moving from one rating to any other rating over a given period.
Credit Portfolio Models: CreditMetrics, KMV & Vasicek Explained
Credit portfolio models quantify the risk of a portfolio of credit exposures by accounting for default correlation.
Money, Banking & the Financial System
1 part · 13 min
Basel Capital Requirements: Basel I, II & III Framework From Money & Banking
Understand the Basel capital framework — Basel I, II & III — including risk-weighted assets, CET1 ratios, leverage ratios, and liquidity requirements…
Swaps & Credit Derivatives
1 part · 13 min
Merton Model: Equity as a Call Option on Firm Assets
The Merton model treats equity as a call option on firm assets, deriving default probability and credit spreads from option pricing theory.
More articles
12 articles · 2 hours
Liquidity Risk: Measurement, Management & Liquidity-Adjusted VaR
Learn how to measure and manage liquidity risk using bid-ask spreads and Liquidity-Adjusted VaR (LVaR), with real-world lessons from the 1998 LTCM crisis…
Operational Risk: Definition, Measurement & Basel Capital Requirements
Learn about operational risk management: the Basel definition, seven event categories, BIA/TSA/AMA capital approaches, the Basel III Standardised Measurement…
Famous Financial Disasters: Risk Management Lessons
Learn risk management lessons from five major financial disasters: Barings Bank, Orange County, LTCM, Amaranth Advisors, and the London Whale.
Backtesting VaR: How to Validate Your Risk Model
Learn how to validate VaR models through backtesting, including the Kupiec POF test, Basel traffic light system, and Christoffersen conditional coverage test.
The Bernie Madoff Ponzi scheme explained: how fake trades, feeder funds and missed warnings sustained the fraud, and what investors ultimately recovered.
Integrated Risk Management: Enterprise Risk & Economic Capital
Enterprise risk management aggregates market, credit, and operational risk into a firm-wide framework. Learn how economic capital serves as common currency…
LTCM Collapse: What Went Wrong
The LTCM collapse shows how leverage and a liquidity squeeze threatened markets in 1998, and explains the private rescue coordinated by the New York Fed.
Portfolio VaR & Risk Decomposition: Component and Marginal VaR
Learn how to decompose portfolio Value at Risk into component contributions. Understand marginal VaR, component VaR, and incremental VaR for better risk…
RAROC: Risk-Adjusted Return on Capital Explained
Learn about RAROC (Risk-Adjusted Return on Capital) — the formula banks use to measure risk-adjusted performance, allocate capital across business lines…
Risk Budgeting: Allocating Risk Across a Portfolio
Learn how to allocate risk across a portfolio using component VaR. Understand risk budgeting formulas, examples, and how it differs from mean-variance…
VaR in Investment Management: Active Risk, Tracking Error & Beyond
How investment managers use VaR to measure active risk, set position limits, and meet regulatory disclosure requirements for UCITS and Form ADV.
VaR Methods Compared: Parametric, Historical & Monte Carlo
Compare the three Value at Risk methods — parametric, historical simulation, and Monte Carlo — to understand their trade-offs and choose the right approach…
Tools for this topic
- Portfolio Variance CalculatorFree online calculator
- Merton Credit Model CalculatorFree online calculator Excel model: Merton Credit Model Calculator
- Sharpe Ratio CalculatorFree online calculator
- Tracking Error CalculatorFree online calculator
- Value at Risk (VaR) CalculatorFree online calculator
- Credit Migration Probability CalculatorFree online calculator Excel model: Credit Migration Probability Calculator
Browse other topics
Videos on Financial Risk Management
All 37 Financial Risk Management videos →
Professional certificates
Explore Top Finance Certificates
Access official certificates from Wharton Online & Columbia Business School Executive Education, powered by Wall Street Prep. Save up to $500 with my exclusive discount code:
