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Lin Wang

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  • All publications (33)
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    Complexity between Aging and the Structure of Financial Market: Empirical Evidence from Microdata
    with Chao Li, Rundong Luo, Guangjie Ning, Peiya Zhao, and Xiaoning Yu
    Complexity 2022 1-15. 2022.
    By empirically testing the scale and structure hypotheses of aging’s impacts on the financial market using Tobit, FRM, and Heckman selection models, this paper proves that the number and proportion of elderly family members change the structure of families’ financial assets, though without significant effects on their overall size. Specifically, aging increases the share of cash and deposits in families’ total financial assets and decreases both the quantity and percentage of investment in risky…Read more
    By empirically testing the scale and structure hypotheses of aging’s impacts on the financial market using Tobit, FRM, and Heckman selection models, this paper proves that the number and proportion of elderly family members change the structure of families’ financial assets, though without significant effects on their overall size. Specifically, aging increases the share of cash and deposits in families’ total financial assets and decreases both the quantity and percentage of investment in risky assets. One more family member aged sixty and over, the risky assets decline by 5, 500RMB and its share decreases by 8.8 percent. A Heckman two-step model verifies the robustness of our results. The heterogeneity analysis reveals that aging plays different roles in different types of financial assets.
    Natural Sciences
  • Electronic chart systems software (ecs) an introduction
    with Yousong Han, Peter Kaczmarski, and Fernand Vandamme
    Communication and Cognition. Monographies 42 (3-4): 155-228. 2009.
    Software
  • Computational Finance and Business Intelligence-Comparisons of the Different Frequencies of Input Data for Neural Networks in Foreign Exchange Rates Forecasting
    with Wei Huang, Lean Yu, Shouyang Wang, and Yukun Bao
    In O. Stock & M. Schaerf (eds.), Lecture Notes In Computer Science, Springer Verlag. pp. 517-524. 2006.
    Philosophy of Artificial Intelligence
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