Workshops & Case Studies
Explore our latest workshops, case studies, and collaborative initiatives in quantitative finance. We regulary update our
offerings to reflect the latest developments and opportunities in the industry. Can't find what you're looking for?
Feel free to contact us – we're here to help!
Value at Risk (VaR)
We focus on quantifying portfolio risk by applying historical simulation, variance–covariance, and Monte Carlo methods. Using Excel, Python, Bloomberg and LSEG Workspace, we estimate potential losses under normal and stressed
market conditions.
Option Valuation
We explore how to price options by applying Black–Scholes, binomial trees, and volatility
surfaces. We amodels in Excel and
Python and validate them with real-time data
from Bloomberg and LSEG Workspace.
Financial Statistics
We strengthen our toolkit with regression analysis, time-series modeling, and hypothesis testing
tailored to financial markets. We work hands-on with real datasets from professional platforms
to extract signals and detect anomalies.
Python for Finance
We use Python to automate data extraction,
backtest strategies, and build analytics
dashboards. We connect APIs from
Bloomberg, LSEG and more to turn
raw market data into actionable insights.
Derivatives
We focus on pricing and hedging swaps,
futures, and structured products by applying
no-arbitrage principles and stochastic models.
We link theory to practice through case studies built on live curves and volatility surfaces.
Fixed Income Trading
We analyze yield curves, spreads, and credit risk to understand how bonds and rate products are priced and traded. We use Excel, Python, and professional data terminals to construct, value, and manage fixed income portfolios.