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Research Interests for Jia Li

Research Interests:

Professor Li's research focuses on nonparametric estimation and inference of financial risk factors, such as volatility and jumps, based on high frequency financial data. Such data exhibit a microscopic view of asset price behaviors, but also raise new challenges for econometricians. He is currently working on a project for detecting jumps from the perspective of hedging derivative securities, as well as methods for robust estimation and inference of asset price jumps.

Recent Publications
  1. Li, J; Todorov, V; Tauchen, G, Jump factor models in large cross-sections, Quantitative Economics, vol. 10 no. 2 (May, 2019), pp. 419-456 [doi[abs]
  2. Li, J; Todorov, V; Tauchen, G; Lin, H, Rank Tests at Jump Events, Journal of Business & Economic Statistics, vol. 37 no. 2 (April, 2019), pp. 312-321, Informa UK Limited [doi[abs]
  3. Li, J; Liu, Y; Xiu, D, Efficient estimation of integrated volatility functionals via multiscale Jackknife, The Annals of Statistics, vol. 47 no. 1 (February, 2019), pp. 156-176, Institute of Mathematical Statistics [doi[abs]
  4. Bollerslev, T; Li, J; Xue, Y, Volume, volatility, and public news announcements, Review of Economic Studies, vol. 85 no. 4 (October, 2018), pp. 2005-2041, Oxford University Press (OUP) [doi[abs]
  5. Li, J; Xiu, D, Comment on: Limit of Random Measures associated with the increments of a Brownian Semimartingale, Journal of Financial Econometrics, vol. 16 no. 4 (September, 2018), pp. 570-582, Oxford University Press (OUP) [doi]

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