I have taken a couple of lectures / workshops on time series econometrics, derivatives, CIP arbitrage and market microstructure. The details are:
Time Series Econometrics:
-- Introduction to stationary and non-stationary processes
-- Modelling a stationary process: AR/MA/ARMA models
-- Estimation, Diagnostics
-- Forecasting using AR/MA models
-- Volatility Modelling
-- Introduction to ARCH family of models
-- ARCH(p) Model: Testing, Estimation, Fit
-- GARCH (p, q) Model: Testing, Estimation, Fit
-- Forecasting volatility using ARCH and GARCH models
-- VaR Estimation
-- Computing VaR estimates using different volatility estimates
-- Performance evaluation
Derivatives
-- Introduction to forwards, futures and options
-- Concept
-- Payoffs
-- Exchange vs OTC
-- Use of derivatives
-- Hedging
-- Arbitrage
-- Speculation
-- Pricing
-- Futures and forwards pricing
-- Options pricing
-- Black-Scholes Model
-- Put-Call parity
-- Binomial pricing
CIP Arbitrage
-- The law of one price
-- Interest rate parity theorem
-- Covered interest parity: Equation, violation, arbitrage
-- Assumptions
-- No arbitrage bands
Market Microstructure Research
-- Introduction to financial markets
-- Purpose of financial markets
-- Forms of markets
-- Functions of financial markets: price discovery and liquidity provision
-- The field of market microstructure
-- What is market microstructure
-- Why study market microstructure
-- An example of market microstructure: the National Stock Exchange
-- Research themes in market microstructure
-- State of the art (theoretical and empirical evidence)
-- Open questions in the context of Indian securities market
-- Why study India?
-- A research agenda for the Indian securities markets
-- How changes in market microstructure affect market outcomes:
--The causal impact of algorithmic trading on market quality
-- Measuring market outcomes: price discovery in multiple markets.