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Insights on the global macro-finance interface: Structural sources of risk factors fluctuations and the cross-section of expected stock returns

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  • Claudio Morana

    (University of Milano-Bicocca and CeRP - Collegio Carlo Alberto)

Abstract

This study contributes to the investigation of the macro-finance interface by assessing the economic content and risk based interpreta- tion of widely employed risk factors in the specification of empirical asset pricing models, i.e., Fama-French size and value, and Carhart momentum factors, as well as the more recent Pastor-Stambaugh liq- uidity and Adrian-Etula-Muir leverage factors. Strong support for their risk based interpretation, encompassing evidence on causes, per- sistence and direction of the size, value and momentum e!ects, and new insights on the specification of systematic risk, are provided.

Suggested Citation

  • Claudio Morana, 2013. "Insights on the global macro-finance interface: Structural sources of risk factors fluctuations and the cross-section of expected stock returns," CeRP Working Papers 138, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    • Handle: RePEc:crp:wpaper:138
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    Cited by:

    1. Kim, Kun Ho, 2014. "Counter-cyclical risk aversion," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 384-401.
    2. Claudio, Morana, 2015. "The US$/€ exchange rate: Structural modeling and forecasting during the recent financial crises," Working Papers 321, University of Milano-Bicocca, Department of Economics, revised 28 Dec 2015.
    3. Nuno Cassola & Claudio Morana & Elisa Ossola, 2023. "Green risk in Europe," Working Papers 526, University of Milano-Bicocca, Department of Economics.
    4. Massimo Guidolin & Erwin Hansen & Martín Lozano-Banda, 2018. "Portfolio performance of linear SDF models: an out-of-sample assessment," Quantitative Finance, Taylor & Francis Journals, vol. 18(8), pages 1425-1436, August.
    5. Kim, Jae H. & Ji, Philip Inyeob, 2015. "Significance testing in empirical finance: A critical review and assessment," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 1-14.
    6. Morana, Claudio, 2017. "Macroeconomic and financial effects of oil price shocks: Evidence for the euro area," Economic Modelling, Elsevier, vol. 64(C), pages 82-96.
    7. Zaafri A. Husodo & M. Budi Prasetyo & Rizky Luxianto & Theresia Silitonga & Januar Hafidz & M. Harris Muhajir & Inna Firindra, 2018. "Mispricing And Risk Taking In The Indonesian Stock Market," Working Papers WP/28/2018, Bank Indonesia.
    8. Morana, Claudio, 2024. "A new macro-financial condition index for the euro area," Econometrics and Statistics, Elsevier, vol. 29(C), pages 64-87.
    9. Wickens, Michael R., 2014. "How did we get to where we are now? Reflections on 50 years of macroeconomic and financial econometrics," CEPR Discussion Papers 10197, C.E.P.R. Discussion Papers.
    10. Jardine A. Husman & Ali Sakti & Dahnila Dahlan & Imam Wahyudi Indrawan & Zaäfri A. Husodo & Nur Dhani Hendranastiti & Muhammad Budi Prasetyo & Wahyu Jatmiko, 2022. "On The Development Of The Islamic Benchmark Rate: An Indonesian Case," Working Papers WP/04/2022, Bank Indonesia.
    11. Michael Wickens, 2015. "How Did We Get to Where We Are Now? Reflections on 50 Years of Macroeconomic and Financial Econometrics," Manchester School, University of Manchester, vol. 83, pages 60-82, December.
    12. Filippo Lechthaler & Lisa Leinert, 2019. "Moody oil: What is driving the crude oil price?," Empirical Economics, Springer, vol. 57(5), pages 1547-1578, November.

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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