Things to Learn from Market Risk Certification:

• Major types of risks faced by banks
• Financial Crisis and its impact on the Banking system
• Sources and scope of market risk
• Theoretical Probability distributions required to assess the market risks
• Volatility forecasting and clustering models
• Value at Risk Modelling
  Quantitative Models of market risk
• Description of Key Financial Products: Derivatives, Options, Mortgage Back Securities

Build the Risk Models Banks Trust

Markets move fast. Your portfolio loses ₹50 crores in a single day. Do you understand why? Can you predict it? Prevent it?

Value at Risk (VaR) is the standard. Every major bank calculates it daily. But calculate it wrong and you’re flying blind. Expected Shortfall (ES) captures tail risk better than VaR, but requires deeper modeling.

Lehman Brothers (2008) lost ₹60,000 crores partly because risk models failed. Archegos Capital (2021) lost ₹50,000+ crores due to correlation breakdowns that models didn’t catch. COVID-19 (2020) revealed that VaR models underestimated volatility.

DexLab’s 70-hour Market Risk Analytics and Modelling certificate teaches you VaR, Expected Shortfall, volatility modeling, stress testing, and backtesting. Six comprehensive sections. Real trading examples. Python implementation. Production-ready frameworks.

Why Market Risk Matters

Market risk is the risk that market prices change adversely. For trading desks, investment portfolios, treasury teams—this is existential risk.

Three sources:
1. Interest Rate Risk: Bond portfolios lose value when rates rise
2. Equity Price Risk: Stock portfolios lose value when markets fall
3. Currency Risk: Forex exposure creates losses from exchange rate moves

Liquidity risk compounds all three: When markets stress, liquidity evaporates. Large positions can’t be exited at fair prices.

A proper market risk framework—with VaR, stress testing, limit setting—lets banks operate confidently within their risk appetite.

Real-World Examples: When Models Fail

Lehman Brothers (September 2008): An American investment bank with ₹60,000+ crore assets collapsed. Why? Risk models underestimated tail risk. Correlation between assets assumed stable—but broke during crisis. Mortgage-backed securities (subprime) default rates soared. Models predicted 5-10% losses; actual losses exceeded 50%.

Archegos Capital (March 2021): A family office used massive leverage (20:1 ratios) in concentrated stock positions. Risk models showed diversification—but positions were actually correlated through bilateral trades. When one position moved, all moved together. ₹50,000+ crore loss in 2 days. Models missed concentration risk.

COVID-19 Volatility Spike (March 2020): VaR models predicted daily losses of ₹5 crores on a typical portfolio. During COVID, actual losses were ₹15 crores—three times higher. Why? Historical data assumed stable regimes. Pandemic created a new regime. Firms with stress testing and scenario analysis adapted faster.

GARCH Model Advantage: Traders who used GARCH models (volatility clustering) saw volatility spikes coming earlier than those using simple standard deviation. Early warning meant earlier risk reduction.

Who This Course Is For
Risk professionals at investment banks and hedge funds
Portfolio managers overseeing equity and fixed income
Fixed income traders and treasury professionals
Risk analytics teams
MBA and finance students specializing in market risk
Finance professionals seeking advanced risk knowledge

Why DexLab vs. Other Options
Dexlab Analytics has more than a decade of experience providing training on risk analytics.
Market risk is complex. Most courses teach VaR in isolation. DexLab teaches the full ecosystem.
DexLab assumes you start from basics and teaches market risk specifically.
DexLab is integrated, practical, project-based.
DexLab offers premium quality at affordable pricing.

Salary Impact & Career Path
The data is clear. Market risk professionals earn well in India:
Post-Training Salary Jump: Alumni report average salary increase of INR2L – INR5L within 12 months of completing this certification. That’s a 100-250x return on your INR32,999 investment in Year 1 alone.
Career Progression: Risk modelers become Risk Managers, then Risk Heads. The path to leadership in financial institutions runs through risk. Banks prioritize risk professionals for executive roles because risk management is existential—get it wrong and the institution fails.

How the Course Works
Weekend Batches – Saturday & Sunday
Live Online Instruction with video, screen sharing, and real-time Q&A
Use-case Project-Based: Build real models with actual datasets (anonymized)
Peer Learning: Learn alongside 10-15 professionals from banks and fintech
Hands-On Tools: Excel, SQL, real banking data
Certificate of Completion: Recognized by banks for professional development
Timeline: 30 weekend sessions = 60 hours total. You can attend while working your day job.

Frequently Asked Questions

• What’s the difference between VaR and ES? VaR: “Worst case 95% of time.” ES: “Average loss beyond VaR.” ES captures tail risk better. We teach both.
• Do I need advanced mathematics? We teach math in context of models, not abstract theory.
• Which VaR method should I use? Depends on your data and portfolio. We teach when to use which method.
• Is stress testing really necessary? Basel requires it. 2008 and COVID proved it. We teach regulatory + practical.
• Works for equity, fixed income, forex? Same framework applies universally.
• Will I get job interviews? Risk management is hiring. Career support included.

Master Market Risk & Command Your Portfolio

Enrollment for Next Batch: To be announced
Limited Seats Available: Maximum 10 participants per batch to ensure quality
Price: INR32,999 + GST (18%)