Publications

Working Papers

  • Youcheng Lou, Moris S. Strub and Shouyang Wang. How many financial advisers do you need? 2023.  [pdf]

Selected Journal Papers

  • Yaqing Yang^+ and Youcheng Lou. Information sharing in a perfectly competitive market. North American Journal of Economics and Finance, 69 Part A, 102015, 2024.  [pdf]  Online Appendix
    The absence of uninformed traders in the market weakens the overall crowding-out effect, which reverses the market implication results regarding network connectedness in the market encompassing both informed and uninformed traders.

  • Youcheng Lou and Rohit Rahi. Information, market power and welfare. Journal of Economic Theory, 214, 105756, 2023.  [pdf]  Online Appendix
    Due to adverse selection, uninformed agents are less willing than the informed to provide liquidity, and engage in greater bid shading when prices are more informative. While increased participation by informed agents leads to perfect competition in the limit, the market remains illiquid to some degree even with free entry of uninformed traders.

  • Weijian Li, Zihan Chen, Youcheng Lou (corresponding author) and Yiguang Hong. On the convergence properties of a distributed projected subgradient algorithm. IEEE Transactions on Automatic Control, 68(12): 7546-7559, 2023.  [pdf]
    The classical distributed projected subgradient algorithm is convergent for any periodically switching un-balanced graph sequence, where the converged solution minimizes a weighted sum of local cost functions and the weights depend on the Perron vectors of some product matrices of the underlying switching graphs.

  • Youcheng Lou, Moris S. Strub, Duan Li and Shouyang Wang. The impact of a reference point determined by social comparison on wealth growth and inequality. Journal of Economic Dynamics and Control, 127, 104120, 2021.  [pdf]
    An extension of the reference point concept in Prospect Theory to an environment of social networks, where each investor's reference point is socially determined. Increasing the degree of social interactions is beneficial for both increasing wealth growth and reducing inequality.

  • Youcheng Lou, Lean Yu, Shouyang Wang and Peng Yi. Privacy preservation in distributed subgradient optimization algorithms. IEEE Transactions on Cybernetics, 48(7): 2154–2165, 2018.  [pdf]
    The classical distributed gradient descent algorithm with homogenous step-sizes is not privacy preserving. Propose a new heterogenous steps-size algorithm to guarantee agents’ privacy as well as the desired optimality of convergent solutions.