Quantitative financial economics

What this book actually teaches

Keith Cuthbertson's argument in Quantitative Financial Economics is that the major asset classes — stocks, bonds, and foreign exchange — should be analyzed inside one coherent econometric framework built on rational expectations and present-value relationships, and that empirical tests of that framework are how we learn what markets actually do versus what theory says they should do. The book is an advanced upper-undergraduate and graduate textbook, dense with equations, that treats asset pricing as a testable scientific enterprise rather than a craft.

The arguments build out in three stacks. First, the equity stack: Cuthbertson develops the present-value model of stock prices, derives the implied volatility and variance-bounds tests that Shiller used to argue prices move too much to be justified by fundamentals, and walks through the CAPM and APT as candidate asset-pricing models with their econometric tests. Second, the fixed-income stack: he lays out the expectations hypothesis of the term structure, the relationships between forward rates, spot rates, and holding-period returns, and the empirical literature on whether long rates correctly anticipate future short rates. Third, the FX stack: covered and uncovered interest parity, the forward-premium puzzle, and the empirical failure of uncovered parity that has occupied international finance economists for decades. Throughout, the unifying engine is rational expectations plus a no-arbitrage or equilibrium condition, with the econometrics — cointegration, VAR systems, GMM — used to test whether the data are consistent with the theory.

This is aimed at graduate students in finance or economics, advanced undergraduates in a quantitative program, and practitioners who want the academic framework underneath their day job. It is not a beginner's book and not a how-to-invest book.

The weaknesses are inherent to the genre. The book is heavily math-driven; readers without comfort in econometrics and matrix algebra will not get through it. It also reflects the state of the field in the mid-1990s — behavioral finance is treated as a challenger rather than the now-mainstream complement, and the more recent work on stochastic discount factors, consumption-based asset pricing, and machine-learning return prediction is necessarily absent. The empirical results discussed are also from the data windows available at the time, and several of the puzzles described have since been refined or partially resolved. As a teaching text it can also feel like a survey — broad coverage at the cost of depth in any one area.

Worth reading for someone studying or teaching financial economics who wants a rigorous, unified treatment of asset pricing across stocks, bonds, and FX. Retail investors and practitioners looking for actionable strategy should go elsewhere.

Read next

About Keith Cuthbertson

Read more from Keith Cuthbertson and explore the full bibliography on ClearValue Books.