IDEAS home Printed from https://ideas.repec.org/f/psh331.html
   My authors  Follow this author

Lei Shi

Personal Details

First Name:Lei
Middle Name:
Last Name:Shi
Suffix:
RePEc Short-ID:psh331
http://www.business.uts.edu.au/finance/research/students/Lei_Shi.html
Terminal Degree:2005 Finance Discipline Group; Business School; University of Technology Sydney (from RePEc Genealogy)

Affiliation

Finance Discipline Group
Business School
University of Technology Sydney

Sydney, Australia
http://www.business.uts.edu.au/finance/
RePEc:edi:sfutsau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Carl Chiarella & Xue-Zhong He & Lei Shi & Lijian Wei, 2014. "A Behavioural Model of Investor Sentiment in Limit Order Markets," Research Paper Series 342, Quantitative Finance Research Centre, University of Technology, Sydney.
  2. Lijian Wei & Wei Zhang & Xiong Xiong & Lei Shi, 2014. "Position-Limit Design for the CSI 300 Futures Markets," Research Paper Series 349, Quantitative Finance Research Centre, University of Technology, Sydney.
  3. Xue-Zhong He & Lei Shi, 2012. "Heterogeneous Beliefs and the Cross-Section of Asset Returns," Research Paper Series 303, Quantitative Finance Research Centre, University of Technology, Sydney.
  4. Xue-Zhong He & Lei Shi & Min Zheng, 2012. "Asset Pricing Under Keeping Up With the Joneses and Heterogeneous Beliefs," Research Paper Series 302, Quantitative Finance Research Centre, University of Technology, Sydney.
  5. Xue-Zhong He & Lei Shi, 2012. "Heterogeneous Beliefs and the Performances of Optimal Portfolios," Research Paper Series 301, Quantitative Finance Research Centre, University of Technology, Sydney.
  6. Xue-Zhong He & Lei Shi, 2010. "Differences in Opinion and Risk Premium," Research Paper Series 271, Quantitative Finance Research Centre, University of Technology, Sydney.
  7. Xue-Zhong He & Lei Shi, 2009. "Portfolio Analysis and Zero-Beta CAPM with Heterogeneous Beliefs," Research Paper Series 244, Quantitative Finance Research Centre, University of Technology, Sydney.
  8. Xue-Zhong He & Lei Shi, 2008. "Heterogeneity, Bounded Rationality and Market Dysfunctionality," Research Paper Series 233, Quantitative Finance Research Centre, University of Technology, Sydney.
  9. Eckhard Platen & Lei Shi, 2008. "On the Numerical Stability of Simulation Methods for SDES," Research Paper Series 234, Quantitative Finance Research Centre, University of Technology, Sydney.

Articles

  1. He, Xue-Zhong & Shi, Lei, 2017. "Index portfolio and welfare analysis under heterogeneous beliefs," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 64-79.
  2. Shi, Lei, 2016. "Consumption-based CAPM with belief heterogeneity," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 30-46.
  3. Wei, Lijian & Zhang, Wei & Xiong, Xiong & Shi, Lei, 2015. "Position limit for the CSI 300 stock index futures market," Economic Systems, Elsevier, vol. 39(3), pages 369-389.
  4. Eckhard Platen & Lei Shi, 2013. "On the numerical stability of simulation methods for SDEs under multiplicative noise in finance," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 183-194, January.
  5. He, Xue-Zhong & Shi, Lei, 2012. "Disagreement, correlation and asset prices," Economics Letters, Elsevier, vol. 116(3), pages 512-515.
  6. Xue‐Zhong He & Lei Shi, 2012. "Boundedly rational equilibrium and risk premium," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 71-93, March.
  7. Xue-Zhong He & Lei Shi, 2012. "Disagreement in a Multi-Asset Market," International Review of Finance, International Review of Finance Ltd., vol. 12(3), pages 357-373, September.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Carl Chiarella & Xue-Zhong He & Lei Shi & Lijian Wei, 2014. "A Behavioural Model of Investor Sentiment in Limit Order Markets," Research Paper Series 342, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Danilo Liuzzi & Paolo Pellizzari & Marco Tolotti, 2019. "Fast traders and slow price adjustments: an artificial market with strategic interaction and transaction costs," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 643-662, September.
    2. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
    3. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yong-Jie Zhang & Wei Chen & Wei-Xing Zhou, 2017. "An empirical behavioural order-driven model with price limit rules," Papers 1704.04354, arXiv.org.
    4. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
    5. Lijian Wei & Lei Shi, 2020. "Investor Sentiment in an Artificial Limit Order Market," Complexity, Hindawi, vol. 2020, pages 1-10, June.
    6. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Gaoshan Wang & Guangjin Yu & Xiaohong Shen, 2020. "The Effect of Online Investor Sentiment on Stock Movements: An LSTM Approach," Complexity, Hindawi, vol. 2020, pages 1-11, December.
    8. Zhou, Liyun & Yang, Chunpeng, 2019. "Stochastic investor sentiment, crowdedness and deviation of asset prices from fundamentals," Economic Modelling, Elsevier, vol. 79(C), pages 130-140.
    9. Schasfoort, Joeri & Stockermans, Christopher, 2017. "Fundamentals unknown: Momentum, mean-reversion and price-to-earnings trading in an artificial stock market," Economics Discussion Papers 2017-63, Kiel Institute for the World Economy (IfW).

  2. Xue-Zhong He & Lei Shi & Min Zheng, 2012. "Asset Pricing Under Keeping Up With the Joneses and Heterogeneous Beliefs," Research Paper Series 302, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Jenny Schuetz, 2020. "Teardowns, popups, and renovations: How does housing supply change?," Journal of Regional Science, Wiley Blackwell, vol. 60(3), pages 459-480, June.

  3. Xue-Zhong He & Lei Shi, 2010. "Differences in Opinion and Risk Premium," Research Paper Series 271, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Hwai-Chung Ho & Chien-Chih Lin, 2012. "How do Heterogeneous Beliefs Influence Asset Volatility?," Pacific Economic Review, Wiley Blackwell, vol. 17(4), pages 601-616, October.
    2. Wolfgang Breuer & Michael Riesener & Astrid Juliane Salzmann, 2014. "Risk aversion vs. individualism: what drives risk taking in household finance?," The European Journal of Finance, Taylor & Francis Journals, vol. 20(5), pages 446-462, May.

  4. Xue-Zhong He & Lei Shi, 2009. "Portfolio Analysis and Zero-Beta CAPM with Heterogeneous Beliefs," Research Paper Series 244, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Xue‐Zhong He & Lei Shi, 2012. "Boundedly rational equilibrium and risk premium," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 71-93, March.
    2. Xue-Zhong He & Lei Shi, 2010. "Differences in Opinion and Risk Premium," Research Paper Series 271, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.

  5. Eckhard Platen & Lei Shi, 2008. "On the Numerical Stability of Simulation Methods for SDES," Research Paper Series 234, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Eckhard Platen & Renata Rendek, 2009. "Exact Scenario Simulation for Selected Multi-dimensional Stochastic Processes," Research Paper Series 259, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Eckhard Platen & Renata Rendek, 2009. "Quasi-exact Approximation of Hidden Markov Chain Filters," Research Paper Series 258, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Renata Rendek, 2013. "Modeling Diversified Equity Indices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2013, August.

Articles

  1. He, Xue-Zhong & Shi, Lei, 2017. "Index portfolio and welfare analysis under heterogeneous beliefs," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 64-79.

    Cited by:

    1. Massari, Filippo, 2017. "Markets with heterogeneous beliefs: A necessary and sufficient condition for a trader to vanish," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 190-205.

  2. Shi, Lei, 2016. "Consumption-based CAPM with belief heterogeneity," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 30-46.

    Cited by:

    1. Ma, Chaoqun & Wang, Hailong & Cheng, Fengchao & Hu, Duni, 2018. "How money illusions and heterogeneous beliefs affect asset prices," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 167-192.
    2. Tong, Jun & Hu, Jiaqiao & Hu, Jianqiang, 2017. "Computing equilibrium prices for a capital asset pricing model with heterogeneous beliefs and margin-requirement constraints," European Journal of Operational Research, Elsevier, vol. 256(1), pages 24-34.

  3. Wei, Lijian & Zhang, Wei & Xiong, Xiong & Shi, Lei, 2015. "Position limit for the CSI 300 stock index futures market," Economic Systems, Elsevier, vol. 39(3), pages 369-389.

    Cited by:

    1. Zhang, Wei & Zhou, Zhong-Qiang & Xiong, Xiong, 2019. "Behavioral heterogeneity and excess stock price volatility in China," Finance Research Letters, Elsevier, vol. 28(C), pages 348-354.
    2. Edward Curran & Jack Hunt & Vito Mollica, 2020. "Trading protocols and price discovery: Implicit transaction costs in Indian single stock futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1793-1806, November.

  4. Eckhard Platen & Lei Shi, 2013. "On the numerical stability of simulation methods for SDEs under multiplicative noise in finance," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 183-194, January.

    Cited by:

    1. Tocino, A. & Zeghdane, R. & Senosiaín, M.J., 2021. "On the MS-stability of predictor–corrector schemes for stochastic differential equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 180(C), pages 289-305.

  5. He, Xue-Zhong & Shi, Lei, 2012. "Disagreement, correlation and asset prices," Economics Letters, Elsevier, vol. 116(3), pages 512-515.

    Cited by:

    1. Jasper de Winter & Siem Jan Koopman & Irma Hindrayanto & Anjali Chouhan, 2017. "Modeling the business and financial cycle in a multivariate structural time series model," DNB Working Papers 573, Netherlands Central Bank, Research Department.
    2. Henry L. Friedman & Mirko S. Heinle, 2016. "Taste, information, and asset prices: implications for the valuation of CSR," Review of Accounting Studies, Springer, vol. 21(3), pages 740-767, September.

  6. Xue‐Zhong He & Lei Shi, 2012. "Boundedly rational equilibrium and risk premium," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 71-93, March.

    Cited by:

    1. David Allen & Robert Faff, 2012. "The Global Financial Crisis: some attributes and responses," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 1-7, March.
    2. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    3. Nishimura, Hiroki & Ok, Efe A., 2014. "Non-existence of continuous choice functions," Journal of Economic Theory, Elsevier, vol. 153(C), pages 376-391.

  7. Xue-Zhong He & Lei Shi, 2012. "Disagreement in a Multi-Asset Market," International Review of Finance, International Review of Finance Ltd., vol. 12(3), pages 357-373, September.

    Cited by:

    1. Li, Jing & Pei, Gang & Li, Yunzhu & Ji, Jie, 2013. "Analysis of a novel gravity driven organic Rankine cycle for small-scale cogeneration applications," Applied Energy, Elsevier, vol. 108(C), pages 34-44.
    2. Huang, Lu & Liu, Yizao, 2014. "The Dynamics of Brand Value in the Carbonated Soft Drinks Industry," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 172389, Agricultural and Applied Economics Association.
    3. Xue-Zhong He & Lei Shi, 2012. "Heterogeneous Beliefs and the Cross-Section of Asset Returns," Research Paper Series 303, Quantitative Finance Research Centre, University of Technology, Sydney.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (2) 2008-11-18 2014-08-28
  2. NEP-MST: Market Microstructure (2) 2014-03-30 2014-08-28
  3. NEP-CBE: Cognitive & Behavioural Economics (1) 2008-11-18
  4. NEP-ORE: Operations Research (1) 2008-11-18
  5. NEP-TRA: Transition Economics (1) 2014-08-28

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Lei Shi should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.