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Andrew Y. Chen

Not to be confused with: Andrew Chen

Personal Details

First Name:Andrew
Middle Name:Y.
Last Name:Chen
Suffix:
RePEc Short-ID:pch1244
[This author has chosen not to make the email address public]
http://andrewychen.com

Affiliation

Fisher College of Business
Ohio State University

Columbus, Ohio (United States)
http://fisher.osu.edu/
RePEc:edi:cbohsus (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Andrew Y. Chen & Tom Zimmermann, 2021. "Open Source Cross-Sectional Asset Pricing," Finance and Economics Discussion Series 2021-037, Board of Governors of the Federal Reserve System (U.S.).
  2. Andrew Y. Chen & Markus F. Ibert & Francisco Vazquez-Grande, 2020. "The Stock Market–Real Economy "Disconnect": A Closer Look," FEDS Notes 2020-10-14-2, Board of Governors of the Federal Reserve System (U.S.).
  3. Andrew Y. Chen & Mihail Velikov, 2020. "Zeroing in on the Expected Returns of Anomalies," Finance and Economics Discussion Series 2020-039, Board of Governors of the Federal Reserve System (U.S.).
  4. Andrew Y. Chen, 2019. "The Limits of p-Hacking : A Thought Experiment," Finance and Economics Discussion Series 2019-016, Board of Governors of the Federal Reserve System (U.S.).
  5. Andrew Y. Chen & Tom Zimmermann, 2018. "Publication Bias and the Cross-Section of Stock Returns," Finance and Economics Discussion Series 2018-033, Board of Governors of the Federal Reserve System (U.S.).
  6. Andrew Y. Chen & Rebecca Wasyk & Fabian Winkler, 2017. "A Likelihood-Based Comparison of Macro Asset Pricing Models," Finance and Economics Discussion Series 2017-024, Board of Governors of the Federal Reserve System (U.S.).
  7. Andrew Y. Chen & Eric Engstrom & Olesya V. Grishchenko, 2016. "Has the Inflation Risk Premium Fallen? Is it Now Negative?," FEDS Notes 2016-04-04, Board of Governors of the Federal Reserve System (U.S.).
  8. Andrew Y. Chen, 2014. "Precautionary Volatility and Asset Prices," Finance and Economics Discussion Series 2014-59, Board of Governors of the Federal Reserve System (U.S.).
  9. Andrew Y. Chen, 2014. "Habit, Production, and the Cross-Section of Stock Returns," Finance and Economics Discussion Series 2014-103, Board of Governors of the Federal Reserve System (U.S.).
  10. Andrew Y. Chen, 2013. "External Habit in a Production Economy," 2013 Papers pch1244, Job Market Papers.

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. Andrew Y. Chen & Tom Zimmermann, 2021. "Open Source Cross-Sectional Asset Pricing," Finance and Economics Discussion Series 2021-037, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Li, Sicong & DeMiguel, Victor & Martín-Utrera, Alberto, 2024. "Comparing factor models with price-impact costs," Journal of Financial Economics, Elsevier, vol. 162(C).
    2. Qiao, Fang, 2024. "Do analysts disseminate anomaly information in China?," Journal of Banking & Finance, Elsevier, vol. 165(C).
    3. Harvey, Campbell R. & Liu, Yan, 2021. "Lucky factors," Journal of Financial Economics, Elsevier, vol. 141(2), pages 413-435.
    4. Pallavi Basu & Luella Fu & Alessio Saretto & Wenguang Sun, 2021. "Empirical Bayes Control of the False Discovery Exceedance," Working Papers 2115, Federal Reserve Bank of Dallas.
    5. Pesaran, M. H. & Smith, R. P., 2023. "The Role of Pricing Errors in Linear Asset Pricing Models with Strong, Semi-strong, and Latent Factors," Cambridge Working Papers in Economics 2317, Faculty of Economics, University of Cambridge.
    6. Hollstein, Fabian & Prokopczuk, Marcel, 2022. "Testing Factor Models in the Cross-Section," Journal of Banking & Finance, Elsevier, vol. 145(C).
    7. Cheung, Ying Lun, 2024. "Avoiding jumps in the rotation matrix of time-varying factor models," Finance Research Letters, Elsevier, vol. 67(PB).
    8. Wang, Jinzhe & Zhu, Yifeng, 2024. "A comparison of factor models in China," Journal of Empirical Finance, Elsevier, vol. 79(C).
    9. Andrew Y. Chen, 2022. "Most claimed statistical findings in cross-sectional return predictability are likely true," Papers 2206.15365, arXiv.org, revised Jun 2025.
    10. Vitor Azevedo & Christopher Hoegner, 2023. "Enhancing stock market anomalies with machine learning," Review of Quantitative Finance and Accounting, Springer, vol. 60(1), pages 195-230, January.
    11. Božović, Miloš, 2024. "VIX-managed portfolios," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    12. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Papers 2107.13866, arXiv.org.
    13. Beckmeyer, Heiner & Wiedemann, Timo, 2022. "Recovering Missing Firm Characteristics with Attention-Based Machine Learning," VfS Annual Conference 2022 (Basel): Big Data in Economics 264135, Verein für Socialpolitik / German Economic Association.
    14. Antoine Falck & Adam Rej & David Thesmar, 2021. "Why and how systematic strategies decay," Papers 2105.01380, arXiv.org.
    15. Andrew Y. Chen & Jack McCoy, 2022. "Missing Values Handling for Machine Learning Portfolios," Papers 2207.13071, arXiv.org, revised Jan 2024.
    16. Kruthof, Garvin & Müller, Sebastian, 2025. "Can deep reinforcement learning beat 1N," Finance Research Letters, Elsevier, vol. 75(C).
    17. Linying Lv, 2025. "Do Sell-side Analyst Reports Have Investment Value?," Papers 2502.20489, arXiv.org, revised Mar 2025.
    18. Han, Yufeng & Lu, Yueliang (Jacques) & Xu, Weike & Zhou, Guofu, 2024. "Mispricing and Anomalies: An Exogenous Shock to Short Selling from JGTRRA," Journal of Empirical Finance, Elsevier, vol. 78(C).
    19. Andrew Y. Chen, 2021. "The Limits of p‐Hacking: Some Thought Experiments," Journal of Finance, American Finance Association, vol. 76(5), pages 2447-2480, October.
    20. Vidal-Llana, Xenxo & Guillén, Montserrat, 2022. "Cross-sectional quantile regression for estimating conditional VaR of returns during periods of high volatility," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    21. Andrew Y. Chen, 2022. "Do t-Statistic Hurdles Need to be Raised?," Papers 2204.10275, arXiv.org, revised Apr 2024.
    22. Evaluator 1, 2024. "Evaluation 1 of "Biodiversity Risk"," The Unjournal Evaluations 2024-151, The Unjournal.
    23. Vitor Azevedo & Georg Sebastian Kaiser & Sebastian Mueller, 2023. "Stock market anomalies and machine learning across the globe," Journal of Asset Management, Palgrave Macmillan, vol. 24(5), pages 419-441, September.
    24. Bui, Dien Giau & Kong, De-Rong & Lin, Chih-Yung & Lin, Tse-Chun, 2023. "Momentum in machine learning: Evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    25. Chen, Andrew Y. & McCoy, Jack, 2024. "Missing values handling for machine learning portfolios," Journal of Financial Economics, Elsevier, vol. 155(C).
    26. Rachid Maghniwi & Mustapha Oukassi, 2024. "Momentum effect on the Moroccan stock market upon the announcement of the organization of the 2030 World Cup – Analysis by abnormal returns and time series [Effet momentum sur le marché boursier ma," Post-Print hal-04786632, HAL.
    27. Jianqing Fan & Weining Wang & Yue Zhao, 2024. "Conditional nonparametric variable screening by neural factor regression," CeMMAP working papers 17/24, Institute for Fiscal Studies.
    28. Kumar, Rajnish & Lawrence, Edward R. & Prakash, Arun & Rodríguez, Iván M., 2023. "Additions to and deletions from the S&P 500 index: A resolution to the asymmetric price response puzzle," Journal of Banking & Finance, Elsevier, vol. 154(C).
    29. Liu, Yangyi & Luo, Ronghua & Zhao, Senyang, 2023. "Improving factor momentum: Statistical significance matters," Economics Letters, Elsevier, vol. 233(C).
    30. Shunyao Wang & Ming Cheng & Christina Dan Wang, 2025. "NewsNet-SDF: Stochastic Discount Factor Estimation with Pretrained Language Model News Embeddings via Adversarial Networks," Papers 2505.06864, arXiv.org.
    31. Andrew Y. Chen & Tom Zimmermann, 2022. "Publication Bias in Asset Pricing Research," Papers 2209.13623, arXiv.org, revised Sep 2023.
    32. Nusret Cakici & Christian Fieberg & Daniel Metko & Adam Zaremba, 2024. "Do Anomalies Really Predict Market Returns? New Data and New Evidence," Review of Finance, European Finance Association, vol. 28(1), pages 1-44.
    33. Yin Chen & Roni Israelov, 2024. "Income illusions: challenging the high yield stock narrative," Journal of Asset Management, Palgrave Macmillan, vol. 25(2), pages 190-202, March.
    34. Soebhag, Amar & Van Vliet, Bart & Verwijmeren, Patrick, 2024. "Non-standard errors in asset pricing: Mind your sorts," Journal of Empirical Finance, Elsevier, vol. 78(C).
    35. Simon, Frederik & Weibels, Sebastian & Zimmermann, Tom, 2025. "Deep parametric portfolio policies," CFR Working Papers 23-01, University of Cologne, Centre for Financial Research (CFR), revised 2025.
    36. Lin, Jianhao & Fan, Jiacheng & Zhang, Yifan, 2025. "Information Dissemination and the Monetary Policy Uncertainty Premium: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 171(C).
    37. Julian Junyan Wang & Victor Xiaoqi Wang, 2025. "Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks," Papers 2503.16974, arXiv.org, revised Jun 2025.
    38. Zoran Stoiljkovic, 2023. "Applying Reinforcement Learning to Option Pricing and Hedging," Papers 2310.04336, arXiv.org.
    39. Assoe, Kodjovi & Attig, Najah & Sy, Oumar, 2024. "The battle of factors," Global Finance Journal, Elsevier, vol. 62(C).
    40. Kim, Junyong, 2024. "Zoom in on momentum," International Review of Financial Analysis, Elsevier, vol. 94(C).
    41. Shi, Huai-Long & Chen, Huayi, 2023. "Revisiting asset co-movement: Does network topology really matter?," Research in International Business and Finance, Elsevier, vol. 66(C).
    42. Penaranda, Francisco & Sentana, Enrique, 2024. "Portfolio management with big data," CEPR Discussion Papers 19314, C.E.P.R. Discussion Papers.
    43. Azevedo, Vitor, 2023. "Analysts’ underreaction and momentum strategies," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    44. Chen, Zilin & Da, Zhi & Huang, Dashan & Wang, Liyao, 2023. "Presidential economic approval rating and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 147(1), pages 106-131.

  2. Andrew Y. Chen & Mihail Velikov, 2020. "Zeroing in on the Expected Returns of Anomalies," Finance and Economics Discussion Series 2020-039, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Rudkin, Wanling & Cai, Charlie X. & Zhou, You, 2025. "Can we enhance investment with ESG?," International Review of Financial Analysis, Elsevier, vol. 97(C).
    2. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    3. Weimin Liu & Di Luo & Seyoung Park & Huainan Zhao, 2022. "The cross‐sectional return predictability of employment growth: A liquidity risk explanation," The Financial Review, Eastern Finance Association, vol. 57(1), pages 155-178, February.
    4. Banegas, Ayelen & Rosa, Carlo, 2022. "A look under the hood of momentum funds," Economics Letters, Elsevier, vol. 217(C).
    5. Zaremba, Adam & Cakici, Nusret & Bianchi, Robert J. & Long, Huaigang, 2023. "Interest rate changes and the cross-section of global equity returns," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).

  3. Andrew Y. Chen, 2019. "The Limits of p-Hacking : A Thought Experiment," Finance and Economics Discussion Series 2019-016, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.

  4. Andrew Y. Chen & Tom Zimmermann, 2018. "Publication Bias and the Cross-Section of Stock Returns," Finance and Economics Discussion Series 2018-033, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Alexander M. Chinco & Andreas Neuhierl & Michael Weber, 2019. "Estimating The Anomaly Base Rate," NBER Working Papers 26493, National Bureau of Economic Research, Inc.
    2. Cujean, Julien & Andrei, Daniel & Fournier, Mathieu, 2019. "The Low-Minus-High Portfolio and the Factor Zoo," CEPR Discussion Papers 14153, C.E.P.R. Discussion Papers.
    3. Andrew Y. Chen & Chukwuma Dim, 2023. "High-Throughput Asset Pricing," Papers 2311.10685, arXiv.org, revised Jun 2025.
    4. Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2024. "Evaluating asset pricing anomalies: Evidence from Latin America," Research in International Business and Finance, Elsevier, vol. 70(PB).
    5. Chen, Andrew Y. & Lopez-Lira, Alejandro & Zimmermann, Tom, 2024. "Does peer-reviewed research help predict stock returns?," CFR Working Papers 24-02, University of Cologne, Centre for Financial Research (CFR).
    6. Andrew Y. Chen, 2022. "Most claimed statistical findings in cross-sectional return predictability are likely true," Papers 2206.15365, arXiv.org, revised Jun 2025.
    7. Azevedo, Vitor & Müller, Sebastian, 2024. "Analyst recommendations and mispricing across the globe," Journal of Banking & Finance, Elsevier, vol. 169(C).
    8. Chen, Hailiang & Hwang, Byoung-Hyoun, 2022. "Listening in on investors’ thoughts and conversations," Journal of Financial Economics, Elsevier, vol. 145(2), pages 426-444.
    9. Andrew C. Chang & Trace J. Levinson, 2020. "Raiders of the Lost High-Frequency Forecasts: New Data and Evidence on the Efficiency of the Fed's Forecasting," Finance and Economics Discussion Series 2020-090, Board of Governors of the Federal Reserve System (U.S.).
    10. Yukun Liu & Aleh Tsyvinski, 2019. "Risks and Returns of Cryptocurrency," 2019 Meeting Papers 160, Society for Economic Dynamics.
    11. Shynkevich, Andrei, 2025. "Wine market efficiency: Is glass half full or half empty?," International Review of Economics & Finance, Elsevier, vol. 98(C).
    12. Han, Yufeng & Lu, Yueliang (Jacques) & Xu, Weike & Zhou, Guofu, 2024. "Mispricing and Anomalies: An Exogenous Shock to Short Selling from JGTRRA," Journal of Empirical Finance, Elsevier, vol. 78(C).
    13. Andrew Y. Chen, 2021. "The Limits of p‐Hacking: Some Thought Experiments," Journal of Finance, American Finance Association, vol. 76(5), pages 2447-2480, October.
    14. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    15. Andrew Y. Chen, 2019. "The Limits of p-Hacking : A Thought Experiment," Finance and Economics Discussion Series 2019-016, Board of Governors of the Federal Reserve System (U.S.).
    16. Andrew Y. Chen, 2022. "Do t-Statistic Hurdles Need to be Raised?," Papers 2204.10275, arXiv.org, revised Apr 2024.
    17. Chen, Andrew Y. & McCoy, Jack, 2024. "Missing values handling for machine learning portfolios," Journal of Financial Economics, Elsevier, vol. 155(C).
    18. Jiří Witzany, 2021. "A Bayesian Approach to Measurement of Backtest Overfitting," Risks, MDPI, vol. 9(1), pages 1-22, January.
    19. Jacobs, Heiko & Müller, Sebastian, 2020. "Anomalies across the globe: Once public, no longer existent?," Journal of Financial Economics, Elsevier, vol. 135(1), pages 213-230.
    20. Andrew Y. Chen & Tom Zimmermann, 2022. "Publication Bias in Asset Pricing Research," Papers 2209.13623, arXiv.org, revised Sep 2023.
    21. Vincent, Kendro & Hsu, Yu-Chin & Lin, Hsiou-Wei, 2021. "Investment styles and the multiple testing of cross-sectional stock return predictability," Journal of Financial Markets, Elsevier, vol. 56(C).
    22. Alexandre Ripamonti & Raphael Videira & Denis Ichimura, 2020. "Asymmetric information and daily stock prices in Brazil," Estudios Gerenciales, Universidad Icesi, vol. 36(157), pages 465-472, December.
    23. Yukun Liu & Aleh Tsyvinski & Xi Wu, 2019. "Common Risk Factors in Cryptocurrency," NBER Working Papers 25882, National Bureau of Economic Research, Inc.
    24. Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
    25. Andrew Y. Chen & Mihail Velikov, 2020. "Zeroing in on the Expected Returns of Anomalies," Finance and Economics Discussion Series 2020-039, Board of Governors of the Federal Reserve System (U.S.).
    26. Cakici, Nusret & Zaremba, Adam & Bianchi, Robert J. & Pham, Nga, 2021. "False discoveries in the anomaly research: New insights from the Stock Exchange of Melbourne (1927–1987)," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).

  5. Andrew Y. Chen & Eric Engstrom & Olesya V. Grishchenko, 2016. "Has the Inflation Risk Premium Fallen? Is it Now Negative?," FEDS Notes 2016-04-04, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Olesya Grishchenko & Sarah Mouabbi & Jean‐Paul Renne, 2019. "Measuring Inflation Anchoring and Uncertainty: A U.S. and Euro Area Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1053-1096, August.
    2. Dongho Song, 2017. "Bond Market Exposures to Macroeconomic and Monetary Policy Risks," The Review of Financial Studies, Society for Financial Studies, vol. 30(8), pages 2761-2817.
    3. Lael Brainard, 2018. "Sustaining Full Employment and Inflation around Target : a speech at the Forecasters Club of New York, New York, New York, May 31, 2018," Speech 1005, Board of Governors of the Federal Reserve System (U.S.).
    4. Marente Vlekke & Martin Mellens & Siem Jan Koopmans, 2020. "An assessment of the Phillips curve over time: evidence for the United States and the euro area," CPB Discussion Paper 416, CPB Netherlands Bureau for Economic Policy Analysis.
    5. Jamel Boukhatem & Zied Ftiti & Jean Michel Sahut, 2021. "Bond market and macroeconomic stability in East Asia: a nonlinear causality analysis," Annals of Operations Research, Springer, vol. 297(1), pages 53-76, February.
    6. Lael Brainard, 2016. "The Economic Outlook and Implications for Monetary Policy: a speech at the Council on Foreign Relations, Washington, D.C., June 3, 2016," Speech 899, Board of Governors of the Federal Reserve System (U.S.).
    7. Lael Brainard, 2018. "What Do We Mean by Neutral and What Role Does It Play in Monetary Policy?: a speech at the Detroit Economic Club, Detroit, Michigan," Speech 1011, Board of Governors of the Federal Reserve System (U.S.).
    8. Allayioti, Anastasia & Arioli, Rodolfo & Bates, Colm & Botelho, Vasco & Fagandini, Bruno & Fonseca, Luís & Healy, Peter & Meyler, Aidan & Minasian, Ryan & Zahrt, Octavia, 2024. "A look back at 25 years of the ECB SPF," Occasional Paper Series 364, European Central Bank.
    9. Robert Amano & Thomas Carter & Sylvain Leduc, 2019. "Precautionary Pricing: The Disinflationary Effects of ELB Risk," Working Paper Series 2019-26, Federal Reserve Bank of San Francisco.
    10. Stefano Neri & Giuseppe Ferrero, 2017. "Monetary policy in a low interest rate environment," Questioni di Economia e Finanza (Occasional Papers) 392, Bank of Italy, Economic Research and International Relations Area.
    11. Jonathan Goldberg & Elizabeth C. Klee & Edward Simpson Prescott & Paul R. Wood, 2020. "Monetary Policy Strategies and Tools: Financial Stability Considerations," Finance and Economics Discussion Series 2020-074, Board of Governors of the Federal Reserve System (U.S.).
    12. Alberto Di Iorio & Marco Fanari, 2020. "Break-even inflation rates: the Italian case," Questioni di Economia e Finanza (Occasional Papers) 578, Bank of Italy, Economic Research and International Relations Area.
    13. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    14. Leo Krippner & Michael Callaghan, 2016. "Short-term risk premiums and policy rate expectations in the United States," Reserve Bank of New Zealand Analytical Notes series AN2016/07, Reserve Bank of New Zealand.

  6. Andrew Y. Chen, 2014. "Precautionary Volatility and Asset Prices," Finance and Economics Discussion Series 2014-59, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Andrew Y. Chen, 2014. "Habit, Production, and the Cross-Section of Stock Returns," Finance and Economics Discussion Series 2014-103, Board of Governors of the Federal Reserve System (U.S.).

  7. Andrew Y. Chen, 2013. "External Habit in a Production Economy," 2013 Papers pch1244, Job Market Papers.

    Cited by:

    1. Mahdi Nezafat & Ctirad Slavik, 2021. "Asset Prices and Business Cycles with Liquidity Shocks," CERGE-EI Working Papers wp711, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    2. Indrajit Mitra & Yu Xu, 2020. "Limited Household Risk Sharing: General Equilibrium Implications for the Term Structure of Interest Rates," FRB Atlanta Working Paper 2020-20, Federal Reserve Bank of Atlanta.
    3. Weiwei Liu, 2019. "An empirical study of the risk-free rate and the expected consumption growth," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(6), pages 1-5.
    4. Andrew Y. Chen & Rebecca Wasyk & Fabian Winkler, 2017. "A Likelihood-Based Comparison of Macro Asset Pricing Models," Finance and Economics Discussion Series 2017-024, Board of Governors of the Federal Reserve System (U.S.).
    5. Adriana Grasso & Filippo Natoli, 2018. "Consumption volatility risk and the inversion of the yield curve," Temi di discussione (Economic working papers) 1169, Bank of Italy, Economic Research and International Relations Area.
    6. Ruan, Xinfeng & Zhang, Jin E., 2018. "Equilibrium variance risk premium in a cost-free production economy," Journal of Economic Dynamics and Control, Elsevier, vol. 96(C), pages 42-60.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 10 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-FMK: Financial Markets (4) 2015-01-09 2020-06-15 2020-11-09 2021-07-19
  2. NEP-MAC: Macroeconomics (3) 2013-11-02 2016-09-04 2017-03-26
  3. NEP-DGE: Dynamic General Equilibrium (2) 2013-11-02 2014-10-03
  4. NEP-UPT: Utility Models and Prospect Theory (2) 2014-10-03 2016-09-04
  5. NEP-ECM: Econometrics (1) 2018-06-18
  6. NEP-FDG: Financial Development and Growth (1) 2020-11-09
  7. NEP-HPE: History and Philosophy of Economics (1) 2019-04-01
  8. NEP-MST: Market Microstructure (1) 2020-06-15

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