Lecture

Factor Models: Latent Variables and Asset Pricing

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In course

FIN-407: Machine learning in finance

This course aims to give an introduction to the application of machine learning to finance, focusing on the problems of portfolio optimization, return prediction, and textual analysis. A particular focus will be on deep learning and the practical details o ...

Description

This lecture covers Factor Models, including Partial Least Squares and Singular Value Decomposition. It explains how latent variables are obtained through PCA and how they are used in asset pricing models like CAPM. The lecture also delves into factor investing, discussing anomalies detection and the Fama-French models. Additionally, it explores the Generalized Method of Moments (GMM) for parameter estimation and Shanken correction for standard errors. The Fama-McBeth estimation method is presented as an alternative to cross-sectional regression.

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Instructor

Semyon Malamud

Teaching & PhD PhD Students Johannes Schwab, Onur Demiray, Giuseppe Matera Past EPFL PhD Students Rémy Praz, Evgeny Petrov, Yuan Zhang, Julien Arsène Blatt, Erik Hapnes, Teng Andrea Xu, Boris Kuznetsov Courses Big Data and Machine Learning for Financial Economics FIN-622 This class is an introduction to Machine Learning and High Dimensional Statistics in Finance. We start with purely empirical approach, focusing first on high dimensional regressions then moving to kernel methods and deep l

Official source

Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Economics

Microeconomics: Financial economics

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Value investing is an investment that involves buying securities that appear underpriced by some form of fundamental analysis. The various forms of value investing derive from the investment philosophy first taught by Benjamin Graham and David Dodd at Columbia Business School in 1928, and subsequently developed in their 1934 text Security Analysis. The early value opportunities identified by Graham and Dodd included stock in public companies trading at discounts to book value or tangible book value, those with high dividend yields, and those having low price-to-earning multiples, or low price-to-book ratios.

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In finance, arbitrage pricing theory (APT) is a multi-factor model for asset pricing which relates various macro-economic (systematic) risk variables to the pricing of financial assets. Proposed by economist Stephen Ross in 1976, it is widely believed to be an improved alternative to its predecessor, the Capital Asset Pricing Model (CAPM). APT is founded upon the law of one price, which suggests that within an equilibrium market, rational investors will implement arbitrage such that the equilibrium price is eventually realised.

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Quality investing

Quality investing is an investment strategy based on a set of clearly defined fundamental criteria that seeks to identify companies with outstanding quality characteristics. The quality assessment is made based on soft (e.g. management credibility) and hard criteria (e.g. balance sheet stability). Quality investing supports best overall rather than best-in-class approach. The idea for quality investing originated in the bond and real estate investing, where both the quality and price of potential investments are determined by ratings and expert attestations.

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