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Regional Economic Activity and Stock Returns

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  • Smajlbegovic, Esad

Abstract

This study analyzes the impact of regional economic conditions on stock returns. I identify all U.S. states that are economically relevant for a firm through textual analysis of annual reports and construct a novel proxy for regional economic activity. Using this proxy, I find that economic conditions of firm-relevant U.S. regions positively influence stock returns on a monthly basis. This finding is robust to short-term reversal, individual stock momentum, industry momentum, geographic dispersion and a list of standard controls. Additionally, these results indicate that information arising from all relevant states matters over and above the information content of the mere headquarter state. Furthermore, I show that forecasts on regional economic activity predict stock returns. A zero-cost trading strategy based on this new predictive variable generates a risk-adjusted return of 6.3 (8.3) percent per year using an equal-weighted (value-weighted) portfolio. Evidence indicates that forecasts of regional activity also predict firms' real operations, suggesting that economic conditions of U.S. regions capture an important cash flow component of stock returns. Finally, this study shows that information on regional economic activity is gradually incorporated into stock prices and that the return predictability is stronger among difficult-to-arbitrage firms.

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  • Smajlbegovic, Esad, 2015. "Regional Economic Activity and Stock Returns," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112854, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc15:112854
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    4. David C. Ling & Chongyu Wang & Tingyu Zhou, 2022. "Asset productivity, local information diffusion, and commercial real estate returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(1), pages 89-121, March.
    5. Chen, Zilin & Chu, Liya & Liang, Dawei & Tu, Jun, 2022. "Far away from home: Investors’ underreaction to geographically dispersed information," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    6. Xin Wang & Haofei Zhang, 2023. "The cross‐predictability of industry returns in international financial markets," International Review of Finance, International Review of Finance Ltd., vol. 23(4), pages 859-885, December.
    7. Zifeng Feng & Zhonghua Wu, 2022. "Local Economy, Asset Location and REIT Firm Growth," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 75-102, July.
    8. Ma, Rui & Marshall, Ben R. & Nguyen, Hung T. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2022. "Climate events and return comovement," Journal of Financial Markets, Elsevier, vol. 61(C).
    9. Wang, Wenlong & Huang, Yuqin & Watson, John & Yang, Bowen, 2023. "The intra-regional spillover effects of bond defaults: Evidence from the Chinese corporate debt market," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    10. Zifeng Feng, 2022. "How Does Local Economy Affect Commercial Property Performance?," The Journal of Real Estate Finance and Economics, Springer, vol. 65(3), pages 361-383, October.
    11. Chongyu Wang & Jeffrey P. Cohen & John L. Glascock, 2019. "Geographic Proximity and Competition for Scarce Capital: Evidence from U.S. REITs," International Real Estate Review, Global Social Science Institute, vol. 22(4), pages 535-570.
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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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