Teaching

Saïd Business School · MSc Financial Economics

Macroeconomics

Master’s · part of the core Economics module

Three blocks. Unemployment: efficiency wages and the Shapiro–Stiglitz model, contracting approaches, and search and matching. Fiscal policy: the government budget constraint, Ricardian equivalence, tax smoothing, debt dynamics and debt crises. Financial markets and crises: agency costs and the financial accelerator, cash flow and investment, excess volatility, and the Diamond–Dybvig model of bank runs and contagion.

Philosophy, Politics and Economics · Second year

PPE Macroeconomics

Undergraduate · core course, taught in part

Two topics of the second-year core course. Growth: the Solow, Romer and Jones models, capital accumulation and productivity, and convergence in the data. Fiscal policy: the government budget constraint, debt dynamics and stabilisation, and the sustainability and credibility of fiscal plans.

Shanghai Jiao Tong University · Summer School · EC108

Macroeconomics

Undergraduate and master’s · 29 June to 17 July 2026 · 66 hours · Jones, Macroeconomics (6th edition)

The long run, with the production, Solow and Romer–Jones models; the labour market, unemployment and inflation; the short run, with the IS–MP–Phillips model, AS/AD, financial crises, the zero lower bound and quantitative easing; and government budgets and debt dynamics. Each lecture compares a model with evidence built live from FRED, World Bank, IMF and OECD data.

Saïd Business School · MSc Financial Economics

Macro-Finance: Theory and Empirical Methods

Master’s · elective

Four parts. Central banking: communication and expectations, high-frequency event studies of policy news, and text as data. Financial globalisation and spillovers. International capital mobility and capital controls. Quantitative easing and tightening: balance-sheet tools, transmission channels and international spillovers.

Shanghai Jiao Tong University · Summer School · BU263

Risk Management and Derivatives

Undergraduate and master’s · 29 June to 17 July 2026 · 66 hours · Hull, Options, Futures and Other Derivatives (10th edition)

Forwards, futures, swaps and options in three blocks: futures markets, clearing and hedging, including the minimum-variance hedge ratio; interest rates, SOFR, interest-rate futures, swaps, securitisation and the 2007–08 crisis; and options, from market mechanics and put–call parity to spreads, straddles and combinations. Prices come from arbitrage and cost-of-carry arguments applied to real markets.

Shanghai Jiao Tong University · Summer School · FI310

Financial Econometrics

Undergraduate and master’s · 29 June to 17 July 2026 · 66 hours · Stock and Watson (4th edition) · Stata and Python

Probability and statistics, the linear regression model, inference with robust, clustered and HAC standard errors, omitted-variable bias, multiple regression and panel data with fixed effects. The second half covers financial time series: forecasting and the efficient-market hypothesis, dynamic causal effects, ARCH and GARCH volatility, VARs and cointegration. Every analysis is done in both Stata and Python.

The Queen’s College, Oxford

Probability and Statistics

Undergraduate · notes and slides

Five connected topics: probability, conditioning and Bayes’ rule; random variables, distributions, expectation and variance; sampling distributions, confidence intervals and hypothesis tests; time series, from lags and stationarity to the AR(1) and spurious correlation; and causal inference, from potential outcomes and random assignment to natural experiments and instruments.

The Queen’s College, Oxford

Quantitative Economics

Undergraduate · college teaching

Taught earlier at Warwick as EC106, listed under earlier teaching.

Worcester College, Oxford

AI, Machine Learning and Deep Learning

Master’s and doctoral · summer 2026 · two weeks, eight teaching days · no programming assumed

Two four-day parts. Machine learning follows the whole workflow: framing a decision as a prediction problem, linear and logistic regression, trees, random forests and boosting, evaluation with cross-validation and leakage audits, clustering and PCA, then embeddings, retrieval and responsible use. Deep learning builds a neural network from one unit to a trained model, then convolution for images, attention for text, and the controls needed before a model’s output changes a record.

Worcester College, Oxford · Summer Session III

Computational Finance & FinTech

Final-year undergraduate and master’s · 17–27 August 2026 · two weeks, eight teaching days

Week one values dated cash flows: present value and NPV, interest-rate conventions and the term structure, bonds with duration and convexity, and equity valuation. Week two turns to risk transfer and information: forwards, futures and options for hedging, central-bank communication measured with high-frequency event studies, and Bitcoin, stablecoins, CBDC and payment settlement. Python notebooks reproduce each day’s calculations.

Worcester College, Oxford

AI, Finance and Central Banking

Undergraduate and master’s · summer 2026 · Part I four teaching days, Part II four lectures

Part I spends four days on bank balance sheets: how an asset loss becomes a credit contraction, why equity limits lending, and why a bank with sound assets can still face a run. It then asks what prediction and language models add, with one transparent model tested on later data and an evidence workflow a person can check. Part II covers central-bank communication, measures of expectations, high-frequency policy surprises and text as data.

Department of Economics and Saïd Business School

Research supervision

DPhil (2+3), MPhil, MFE and undergraduate

I supervise student research across applied macroeconomics, finance and data-driven empirical work, with emphasis on strong econometric design and clearly identified research questions. Methods include high-frequency identification, text as data, event studies and panel econometrics.

College advising at St Antony’s College.