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My bibliography Save this itemA diagnostic criterion for approximate factor structure
Citations
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Cited by:
- Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020.
"Taming the Factor Zoo: A Test of New Factors,"
Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
- Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2019. "Taming the Factor Zoo: A Test of New Factors," NBER Working Papers 25481, National Bureau of Economic Research, Inc.
- Giglio, Stefano & Feng, Guanhao & Xiu, Dacheng, 2020. "Taming the Factor Zoo: A Test of New Factors," CEPR Discussion Papers 14266, C.E.P.R. Discussion Papers.
- Alessi, Lucia & Elisa, Ossola & Panzica, Roberto, 2021. "When do investors go green? Evidence from a time-varying asset-pricing model," Working Papers 2021-13, Joint Research Centre, European Commission.
- Alessi, Lucia & Ossola, Elisa & Panzica, Roberto, 2019.
"The Greenium matters: greenhouse gas emissions, environmental disclosures, and stock prices,"
Working Papers
2019-12, Joint Research Centre, European Commission, revised Apr 2020.
- Lucia Alessi & Elisa, Ossola & Roberto Panzica, 2019. "The Greenium matters: greenhouse gas emissions, environmental disclosures, and stock prices," Working Papers 418, University of Milano-Bicocca, Department of Economics, revised Apr 2020.
- Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
- Ardia, David & Barras, Laurent & Gagliardini, Patrick & Scaillet, Olivier, 2024.
"Is it alpha or beta? Decomposing hedge fund returns when models are misspecified,"
Journal of Financial Economics, Elsevier, vol. 154(C).
- David Ardia & Laurent Barras & Patrick Gagliardini & Olivier Scaillet, 2020. "Is it Alpha or Beta? Decomposing Hedge Fund Returns When Models are Misspecified," Swiss Finance Institute Research Paper Series 20-82, Swiss Finance Institute, revised May 2023.
- Alessi, Lucia & Ossola, Elisa & Panzica, Roberto, 2021. "What greenium matters in the stock market? The role of greenhouse gas emissions and environmental disclosures," Journal of Financial Stability, Elsevier, vol. 54(C).
- Nardo, M. & Ossola, E. & Papanagiotou, E., 2022.
"Financial integration in the EU28 equity markets: Measures and drivers,"
Journal of Financial Markets, Elsevier, vol. 57(C).
- Nardo, Michela & Ossola, Elisa & Papanagiotou, Evangalia, 2020. "Financial integration in the EU28 equity markets: measures and drivers," Working Papers 2020-09, Joint Research Centre, European Commission.
- Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2021. "Bridging factor and sparse models," Papers 2102.11341, arXiv.org, revised Sep 2022.
- Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023.
"A penalized two-pass regression to predict stock returns with time-varying risk premia,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2021. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Swiss Finance Institute Research Paper Series 21-09, Swiss Finance Institute.
- Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2023. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Post-Print hal-04325655, HAL.
- Gaetan Bakalli & St'ephane Guerrier & Olivier Scaillet, 2022. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Papers 2208.00972, arXiv.org.
- Alain-Philippe Fortin & Patrick Gagliardini & O. Scaillet, 2022.
"Eigenvalue tests for the number of latent factors in short panels,"
Swiss Finance Institute Research Paper Series
22-81, Swiss Finance Institute.
- Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Papers 2210.16042, arXiv.org.
- Patrick Gagliardini & Elisa Ossola & O. Scaillet, 2019.
"Estimation of Large Dimensional Conditional Factor Models in Finance,"
Swiss Finance Institute Research Paper Series
19-46, Swiss Finance Institute.
- Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "Estimation of large dimensional conditional factor models in finance," Working Papers unige:125031, University of Geneva, Geneva School of Economics and Management.
- Freyaldenhoven, Simon, 2022.
"Factor models with local factors — Determining the number of relevant factors,"
Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
- Simon Freyaldenhoven, 2021. "Factor Models with Local Factors—Determining the Number of Relevant Factors," Working Papers 21-15, Federal Reserve Bank of Philadelphia.
- Anatolyev, Stanislav & Mikusheva, Anna, 2022.
"Factor models with many assets: Strong factors, weak factors, and the two-pass procedure,"
Journal of Econometrics, Elsevier, vol. 229(1), pages 103-126.
- Stanislav Anatolyev & Anna Mikusheva, 2018. "Factor models with many assets: strong factors, weak factors, and the two-pass procedure," Papers 1807.04094, arXiv.org, revised Apr 2019.
- Caner, Mehmet & Medeiros, Marcelo & Vasconcelos, Gabriel F.R., 2023.
"Sharpe Ratio analysis in high dimensions: Residual-based nodewise regression in factor models,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 393-417.
- Mehmet Caner & Marcelo Medeiros & Gabriel Vasconcelos, 2020. "Sharpe Ratio Analysis in High Dimensions: Residual-Based Nodewise Regression in Factor Models," Papers 2002.01800, arXiv.org, revised Feb 2022.
- Alessi, Lucia & Ossola, Elisa & Panzica, Roberto, 2023. "When do investors go green? Evidence from a time-varying asset-pricing model," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2023.
"Latent Factor Analysis in Short Panels,"
Swiss Finance Institute Research Paper Series
23-44, Swiss Finance Institute.
- Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2023. "Latent Factor Analysis in Short Panels," Papers 2306.14004, arXiv.org, revised May 2024.
- Solène Collot & Tobias Hemauer, 2021. "A literature review of new methods in empirical asset pricing: omitted-variable and errors-in-variable bias," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(1), pages 77-100, March.
- Rafael Alves & Diego S. de Brito & Marcelo C. Medeiros & Ruy M. Ribeiro, 2023. "Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage," Papers 2303.16151, arXiv.org.
- Vogler, Jan & Golosnoy, Vasyl, 2023. "Unrestricted maximum likelihood estimation of multivariate realized volatility models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1063-1074.
- Eibinger, Tobias & Deixelberger, Beate & Manner, Hans, 2024. "Panel data in environmental economics: Econometric issues and applications to IPAT models," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
- Marco Avarucci & Paolo Zaffaroni, 2019. "Robust Nearly-Efficient Estimation of Large Panels with Factor Structures," Papers 1902.11181, arXiv.org.
- Sun, Yang & Zhang, Xuan & Zhang, Zhekai, 2022. "The reduced-rank beta in linear stochastic discount factor models," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Sun, Yucheng & Xu, Wen & Zhang, Chuanhai, 2023. "Identifying latent factors based on high-frequency data," Journal of Econometrics, Elsevier, vol. 233(1), pages 251-270.
- Chaieb, Ines & Langlois, Hugues & Scaillet, Olivier, 2021. "Factors and risk premia in individual international stock returns," Journal of Financial Economics, Elsevier, vol. 141(2), pages 669-692.
- Choi, Jaewon & Kim, Yongjun, 2018. "Anomalies and market (dis)integration," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 16-34.
- Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
- Xiong, Ruoxuan & Pelger, Markus, 2023. "Large dimensional latent factor modeling with missing observations and applications to causal inference," Journal of Econometrics, Elsevier, vol. 233(1), pages 271-301.