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Spatial pricing with multiple risk transmission channels and specific factors

Author

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  • Chen, Na
  • Jin, Xiu
  • Zhuang, Xintian
  • Yuan, Ying

Abstract

This study synthesizes interactions among real link and informational risk transmission channels to construct a spatial weight matrix and considers the effects of specific factors on returns through such interactions. We propose a spatial pricing model with multiple risk transmission channels and specific factors. The empirical results of an application of the spatial pricing model to industry assets in the Chinese stock market show that (1) the interaction plays a significant role in explaining asset return. The multiple risk transmission channels based spatial weight matrix improves the performance of the spatial pricing model, and specific factors further improve the performance; (2) the feedback effects and indirect effects of specific factors indicate the importance of interaction and specific factors in the pricing model; and (3) the spatial pricing models are asymmetric in different regimes.

Suggested Citation

  • Chen, Na & Jin, Xiu & Zhuang, Xintian & Yuan, Ying, 2020. "Spatial pricing with multiple risk transmission channels and specific factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
  • Handle: RePEc:eee:phsmap:v:549:y:2020:i:c:s0378437119321636
    DOI: 10.1016/j.physa.2019.123897
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    as
    1. Bryan Kelly & Hao Jiang, 2014. "Editor's Choice Tail Risk and Asset Prices," Review of Financial Studies, Society for Financial Studies, vol. 27(10), pages 2841-2871.
    2. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    3. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    4. Bali, Turan G. & Cakici, Nusret, 2008. "Idiosyncratic Volatility and the Cross Section of Expected Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(1), pages 29-58, March.
    5. Debarsy, Nicolas & Dossougoin, Cyrille & Ertur, Cem & Gnabo, Jean-Yves, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 21-45.
    6. Choudhry, Taufiq & Papadimitriou, Fotios I. & Shabi, Sarosh, 2016. "Stock market volatility and business cycle: Evidence from linear and nonlinear causality tests," Journal of Banking & Finance, Elsevier, vol. 66(C), pages 89-101.
    7. Fama, Eugene F. & French, Kenneth R., 2012. "Size, value, and momentum in international stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 457-472.
    8. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    9. Kelejian, Harry & Tavlas, George S. & Petroulas, Pavlos, 2012. "In the neighborhood: The trade effects of the Euro in a spatial framework," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 314-322.
    10. Steven Kou & Xianhua Peng & Haowen Zhong, 2018. "Asset Pricing with Spatial Interaction," Management Science, INFORMS, vol. 64(5), pages 2083-2101, May.
    11. Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4738-4754.
    12. Viviana Fernandez, 2011. "Spatial linkages in international financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 11(2), pages 237-245.
    13. Longstaff, Francis A., 2010. "The subprime credit crisis and contagion in financial markets," Journal of Financial Economics, Elsevier, vol. 97(3), pages 436-450, September.
    14. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    15. Su, Zhi & Shu, Tengjia & Yin, Libo, 2018. "The pricing effect of the common pattern in firm-level idiosyncratic volatility: Evidence from A-Share stocks of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 218-235.
    16. Nicolas Debarsy & Zhenlin Yang, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Post-Print hal-01818725, HAL.
    17. Zhou, Wei-Xing & Sornette, Didier, 2004. "Antibubble and prediction of China's stock market and real-estate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 243-268.
    18. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    19. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    20. Morris Goldstein, 1998. "The Asian Financial Crisis," Policy Briefs PB98-1, Peterson Institute for International Economics.
    21. Morris Goldstein, 1998. "Asian Financial Crisis: Causes, Cures and Systemic Implications, The," Peterson Institute Press: All Books, Peterson Institute for International Economics, number pa55, October.
    22. Philip Kostov, 2010. "Model Boosting for Spatial Weighting Matrix Selection in Spatial Lag Models," Environment and Planning B, , vol. 37(3), pages 533-549, June.
    23. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    24. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    25. Xu, Yanyan & Huang, Dengshi & Ma, Feng & Qiao, Gaoxiu, 2019. "Liquidity and realized range-based volatility forecasting: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1102-1113.
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