Disruptive Technology, Long-Run Risk, and Asset Prices

68 Pages Posted: 5 Sep 2014 Last revised: 2 Jan 2024

See all articles by Sangheum Cho

Sangheum Cho

World Bank

Soohun Kim

College of Business, Korea Advanced Institute of Science and Technology (KAIST)

Chang Lee

College of Business, Korea Advanced Institute of Science and Technology (KAIST)

Date Written: December 15, 2016

Abstract

This paper studies the long-run risk embedded in the news on investment-specific technology (IST), such as the emergence of AI-enhanced robotics, which can substantially change the production environment in the near future. We document that such IST news shock (i) explains a large share of business cycle fluctuations in macro aggregates and (ii) affects stock returns through the channel of expected cash flow growth. Consistent with the long-run consumption risk hypothesis, we find that the IST news shock carries a significantly positive risk premium in the cross section of asset returns and drives firm cash flows over long horizons.

Keywords: news shock, long-run risk, stock returns, technology shock, consumption based asset pricing model

JEL Classification: G10, G12

Suggested Citation

Cho, Sangheum and Kim, Soohun and Lee, Chang, Disruptive Technology, Long-Run Risk, and Asset Prices (December 15, 2016). Available at SSRN: https://ssrn.com/abstract=2491284 or http://dx.doi.org/10.2139/ssrn.2491284

Sangheum Cho

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

Soohun Kim

College of Business, Korea Advanced Institute of Science and Technology (KAIST) ( email )

85 Hoegiro Dongdaemun-Gu
Seoul 02455
Korea, Republic of (South Korea)

Chang Lee (Contact Author)

College of Business, Korea Advanced Institute of Science and Technology (KAIST) ( email )

85 Hoegiro Dongdaemun-Gu
Seoul 02455
Korea, Republic of (South Korea)

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