Characteristics are covariances: A unified model of risk and return

BT Kelly, S Pruitt, Y Su - Journal of Financial Economics, 2019 - Elsevier
We propose a new modeling approach for the cross section of returns. Our method,
Instrumented Principal Component Analysis (IPCA), allows for latent factors and time …

Dissecting characteristics nonparametrically

J Freyberger, A Neuhierl… - The Review of Financial …, 2020 - academic.oup.com
We propose a nonparametric method to study which characteristics provide incremental
information for the cross-section of expected returns. We use the adaptive group LASSO to …

[PDF][PDF] Implementing the Capital Asset Pricing Model in Forecasting Stock Returns: A Literature Review

J Mandala, JP Soehaditama… - Indonesian …, 2023 - journal.formosapublisher.org
Harry Markowitz developed the portfolio theory model in 1952. His theory is how risk-averse
investors create optimal portfolios that maximize expected returns for a given level of risk …

The characteristics that provide independent information about average US monthly stock returns

J Green, JRM Hand, XF Zhang - The Review of Financial Studies, 2017 - academic.oup.com
We take up Cochrane's (2011) challenge to identify the firm characteristics that provide
independent information about average US monthly stock returns by simultaneously …

ESG investing: A chance to reduce systemic risk

R Cerqueti, R Ciciretti, A Dalò, M Nicolosi - Journal of Financial Stability, 2021 - Elsevier
We consider a network of equity mutual funds characterized by different levels of compliance
with Environmental, Social, and Governance (ESG) aspects. We measure the impact of …

Lucky factors

CR Harvey, Y Liu - Journal of Financial Economics, 2021 - Elsevier
Identifying the factors that drive the cross-section of expected returns is challenging for at
least three reasons. First, the choice of testing approach (time series versus cross-sectional) …

A review on machine learning for asset management

PM Mirete-Ferrer, A Garcia-Garcia, JS Baixauli-Soler… - Risks, 2022 - mdpi.com
This paper provides a review on machine learning methods applied to the asset
management discipline. Firstly, we describe the theoretical background of both machine …

Assessing the total financial performance impact of brand equity with limited time-series data

N Mizik - Journal of Marketing Research, 2014 - journals.sagepub.com
One of the key challenges in empirically modeling the total impact of marketing assets on
financial performance is the limited availability of marketing metrics data over time. The …

Empirical tests of asset pricing models with individual assets: Resolving the errors-in-variables bias in risk premium estimation

N Jegadeesh, J Noh, K Pukthuanthong, R Roll… - Journal of Financial …, 2019 - Elsevier
To attenuate an inherent errors-in-variables bias, portfolios are widely employed to test
asset pricing models; but portfolios might mask relevant risk-or return-related features of …

Empirical cross-sectional asset pricing: a survey

A Goyal - Financial Markets and Portfolio Management, 2012 - Springer
I review the state of empirical asset pricing devoted to understanding cross-sectional
differences in average rates of return. Both methodologies and empirical evidence are …