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Zhongzhi Song

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First Name:Zhongzhi
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Last Name:Song
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RePEc Short-ID:pso441
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Research output

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Articles

  1. Garlappi, Lorenzo & Song, Zhongzhi, 2017. "Capital utilization, market power, and the pricing of investment shocks," Journal of Financial Economics, Elsevier, vol. 126(3), pages 447-470.
  2. Lorenzo Garlappi & Zhongzhi Song, 2017. "Can Investment Shocks Explain the Cross Section of Equity Returns?," Management Science, INFORMS, vol. 63(11), pages 3829-3848, November.
  3. Zhongzhi Song, 2016. "Asset Growth and Idiosyncratic Return Volatility," Review of Finance, European Finance Association, vol. 20(3), pages 1235-1258.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Garlappi, Lorenzo & Song, Zhongzhi, 2017. "Capital utilization, market power, and the pricing of investment shocks," Journal of Financial Economics, Elsevier, vol. 126(3), pages 447-470.

    Cited by:

    1. Segal, Gill & Shaliastovich, Ivan, 2023. "Uncertainty, risk, and capital growth," SAFE Working Paper Series 388, Leibniz Institute for Financial Research SAFE.
    2. Odongo, Maureen & Misati, Roseline Nyakerario & Kageha, Caren & Wamalwa, Peter Simiyu, 2023. "Sustainable financing, climate change risks and bank stability in Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series 71, Kenya Bankers Association (KBA).
    3. Segal, Gill, 2019. "A tale of two volatilities: Sectoral uncertainty, growth, and asset prices," Journal of Financial Economics, Elsevier, vol. 134(1), pages 110-140.
    4. Knesl, Jiří, 2023. "Automation and the displacement of labor by capital: Asset pricing theory and empirical evidence," Journal of Financial Economics, Elsevier, vol. 147(2), pages 271-296.
    5. Yang, Zhenbing & Zhao, Ziyi & Shao, Shuai & Yang, Lili, 2023. "Carbon regulation and enterprise investment: Evidence from China," Energy Economics, Elsevier, vol. 128(C).
    6. Jun Li, 2019. "Explaining Momentum and Value Simultaneously," Management Science, INFORMS, vol. 64(9), pages 4239-4260, September.
    7. Lou, Jun & Wong, Tat Wing & Fung, Ka Wai Terence & Shaende, Jonas J. Nazimoff, 2021. "Stock and bond joint pricing, consumption surplus, and inflation news," Research in International Business and Finance, Elsevier, vol. 58(C).

  2. Lorenzo Garlappi & Zhongzhi Song, 2017. "Can Investment Shocks Explain the Cross Section of Equity Returns?," Management Science, INFORMS, vol. 63(11), pages 3829-3848, November.

    Cited by:

    1. Lin, Xiaoji & Palazzo, Berardino & Yang, Fan, 2020. "The risks of old capital age: Asset pricing implications of technology adoption," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 145-161.
    2. Michael Donadelli & Marcus Jüppner & Antonio Paradiso & Christian Schlag, 2019. "Temperature Volatility Risk," Working Papers 2019:05, Department of Economics, University of Venice "Ca' Foscari".
    3. Curatola, Giuliano & Dergunov, Ilya, 2023. "International capital markets with interdependent preferences: Theory and empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 403-421.
    4. Erica X. N. Li & Haitao Li & Shujing Wang & Shujing Wang, 2019. "Macroeconomic Risks and Asset Pricing: Evidence from a Dynamic Stochastic General Equilibrium Model," Management Science, INFORMS, vol. 65(8), pages 3585-3604, August.
    5. Jun Li, 2019. "Explaining Momentum and Value Simultaneously," Management Science, INFORMS, vol. 64(9), pages 4239-4260, September.
    6. Michael Donadelli & Marcus Jüppner & Antonio Paradiso & Christian Schlag, 2021. "Computing Macro-Effects and Welfare Costs of Temperature Volatility: A Structural Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 347-394, August.

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