Lectures related to Local volatility

Delves into implied volatility, historical volatility, option pricing implications, and various volatility models in financial innovation.

Explores interest rate derivatives, specifically caps and floors, cap-floor parity, pricing formulas, and implied volatilities.

Explores the Black-Scholes formula for option pricing and risk-neutral pricing in financial economics.

Covers volatility modeling in risk management, including ARMA, ARCH, GARCH models, causal representation, and forecasting.

Covers the concept of multiperiod binomial pricing and the Black-Scholes formula.

Covers swaptions, moneyness, callable bonds, pricing formulas, and implied volatilities.

Covers the calibration of interest rate models using a two-factor Gaussian HJM model and the computation of Black and Bachelier cap vegas.

Explores ARCH and GARCH models, volatility clustering, time series, estimation, and filtering steps in financial and macroeconomic contexts.

Covers volatility modeling in quantitative risk management, including ARMA, ARCH, GARCH models, and forecasting.

Explores forecasting in time series analysis, long memory processes, and ARCH models for volatility modeling.

Explores efficient portfolios, risk management, and the CAPM model in finance.

Explores the optimal dispatch of power generation units and the economics of power systems in deregulated environments.

Explores energy contracts, spot markets, and risk management strategies in power system restructuring and deregulation.

Explores asset pricing theorems and the Black-Scholes formula derivation in discrete time economies.

Explores volatile variables in Java for concurrent programming and synchronization importance.

Covers statistical tools, risk models, and challenges in quantitative risk management.

Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.

Explores implicit generative models, covering topics like method of moments, kernel choice, and robustness of estimators.