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Andreas Neuhierl

Personal Details

First Name:Andreas
Middle Name:
Last Name:Neuhierl
Suffix:
RePEc Short-ID:pne394
[This author has chosen not to make the email address public]
https://aneuhierl.github.io

Affiliation

Olin School of Business
Washington University in St. Louis

St. Louis, Missouri (United States)
http://www.olin.wustl.edu/
RePEc:edi:oswusus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Joachim Freyberger & Björn Höppner & Andreas Neuhierl & Michael Weber, 2022. "Missing Data in Asset Pricing Panels," NBER Working Papers 30761, National Bureau of Economic Research, Inc.
  2. Alexander M. Chinco & Andreas Neuhierl & Michael Weber, 2019. "Estimating The Anomaly Base Rate," NBER Working Papers 26493, National Bureau of Economic Research, Inc.
  3. Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2018. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 7187, CESifo.
  4. Andreas Neuhierl & Michael Weber & Michael Weber, 2017. "Monetary Momentum," CESifo Working Paper Series 6648, CESifo.
  5. Andreas Neuhierl & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," NBER Working Papers 22831, National Bureau of Economic Research, Inc.

Articles

  1. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.
  2. Chinco, Alex & Neuhierl, Andreas & Weber, Michael, 2021. "Estimating the anomaly base rate," Journal of Financial Economics, Elsevier, vol. 140(1), pages 101-126.
  3. Soohun Kim & Robert A Korajczyk & Andreas Neuhierl & Wei JiangEditor, 2021. "Arbitrage Portfolios," Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2813-2856.
  4. Dichtl, Hubert & Drobetz, Wolfgang & Neuhierl, Andreas & Wendt, Viktoria-Sophie, 2021. "Data snooping in equity premium prediction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 72-94.
  5. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
  6. Neuhierl, Andreas & Weber, Michael, 2019. "Monetary policy communication, policy slope, and the stock market," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 140-155.
  7. Neuhierl, Andreas & Scherbina, Anna & Schlusche, Bernd, 2013. "Market Reaction to Corporate Press Releases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1207-1240, August.
  8. Bamberg G. & Neuhierl A., 2012. "Growth Optimal Investment Strategy: The Impact of Reallocation Frequency and Heavy Tails," German Economic Review, De Gruyter, vol. 13(2), pages 228-240, May.
  9. Andreas Neuhierl & Bernd Schlusche, 2011. "Data Snooping and Market-Timing Rule Performance," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 9(3), pages 550-587, Summer.

Chapters

  1. Roland Eisenhuth & Dermot Murphy & Andreas Neuhierl, 2018. "Casino game markets," Chapters, in: Victor J. Tremblay & Elizabeth Schroeder & Carol Horton Tremblay (ed.), Handbook of Behavioral Industrial Organization, chapter 10, pages 257-290, Edward Elgar Publishing.

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2017. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 6391, CESifo.

    Mentioned in:

    1. > Econometrics > Big Data

Working papers

  1. Alexander M. Chinco & Andreas Neuhierl & Michael Weber, 2019. "Estimating The Anomaly Base Rate," NBER Working Papers 26493, National Bureau of Economic Research, Inc.

    Cited by:

    1. Alex Chinco & Samuel M. Hartzmark & Abigail B. Sussman, 2022. "A New Test of Risk Factor Relevance," Journal of Finance, American Finance Association, vol. 77(4), pages 2183-2238, August.
    2. Andrei, Daniel & Cujean, Julien & Fournier, Mathieu, 2019. "The Low-Minus-High Portfolio and the Factor Zoo," CEPR Discussion Papers 14153, C.E.P.R. Discussion Papers.
    3. Ian Martin & Stefan Nagel, 2019. "Market Efficiency in the Age of Big Data," CESifo Working Paper Series 8015, CESifo.
    4. Michaely, Roni & Rossi, Stefano & Weber, Michael, 2019. "Signaling Safety," CEPR Discussion Papers 14174, C.E.P.R. Discussion Papers.
    5. Andrew Y. Chen, 2022. "Do t-Statistic Hurdles Need to be Raised," Papers 2204.10275, arXiv.org.
    6. Andrew Y. Chen & Tom Zimmermann, 2022. "Publication Bias in Asset Pricing Research," Papers 2209.13623, arXiv.org, revised Dec 2022.

  2. Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2018. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 7187, CESifo.

    Cited by:

    1. Feng, Gavin & Giglio, Stefano W & Xiu, Dacheng, 2020. "Taming the Factor Zoo: A Test of New Factors," CEPR Discussion Papers 14266, C.E.P.R. Discussion Papers.
    2. Bandi, Federico M. & Chaudhuri, Shomesh E. & Lo, Andrew W. & Tamoni, Andrea, 2021. "Spectral factor models," Journal of Financial Economics, Elsevier, vol. 142(1), pages 214-238.
    3. Andreas Neuhierl & Michael Weber, 2020. "Monetary Momentum," Working Papers 2020-39, Becker Friedman Institute for Research In Economics.
    4. Carl Remlinger & Bri`ere Marie & Alasseur Cl'emence & Joseph Mikael, 2021. "Expert Aggregation for Financial Forecasting," Papers 2111.15365, arXiv.org, revised Aug 2022.
    5. Alex Chinco & Samuel M. Hartzmark & Abigail B. Sussman, 2022. "A New Test of Risk Factor Relevance," Journal of Finance, American Finance Association, vol. 77(4), pages 2183-2238, August.
    6. Jorge Guijarro-Ordonez & Markus Pelger & Greg Zanotti, 2021. "Deep Learning Statistical Arbitrage," Papers 2106.04028, arXiv.org, revised Oct 2022.
    7. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors [Financial intermediaries and the cross-section of asset returns]," Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    8. Christian Fieberg & Lars Hornuf & Gerrit Liedtke & Thorsten Poddig, 2020. "Are Characteristics Covariances? A Comment on Instrumented Principal Component Analysis," CESifo Working Paper Series 8377, CESifo.
    9. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can machine learning help to select portfolios of mutual funds?," Economics Working Papers 1772, Department of Economics and Business, Universitat Pompeu Fabra.
    10. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Papers 2210.16042, arXiv.org.
    11. Lettau, Martin & Pelger, Markus, 2018. "Factors that Fit the Time Series and Cross-Section of Stock Returns," CEPR Discussion Papers 13049, C.E.P.R. Discussion Papers.
    12. Chinco, Alex & Neuhierl, Andreas & Weber, Michael, 2021. "Estimating the anomaly base rate," Journal of Financial Economics, Elsevier, vol. 140(1), pages 101-126.
    13. Michael Weber, 2016. "Cash Flow Duration and the Term Structure of Equity Returns," NBER Working Papers 22520, National Bureau of Economic Research, Inc.
    14. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Papers 2107.13866, arXiv.org.
    15. Chris Florackis & Christodoulos Louca & Roni Michaely & Michael Weber, 2020. "Cybersecurity Risk," NBER Working Papers 28196, National Bureau of Economic Research, Inc.
    16. Dong, C. & Li, S., 2021. "Specification Lasso and an Application in Financial Markets," Cambridge Working Papers in Economics 2139, Faculty of Economics, University of Cambridge.
    17. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
    18. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," NBER Working Papers 25398, National Bureau of Economic Research, Inc.
    19. Pedro M. Mirete-Ferrer & Alberto Garcia-Garcia & Juan Samuel Baixauli-Soler & Maria A. Prats, 2022. "A Review on Machine Learning for Asset Management," Risks, MDPI, vol. 10(4), pages 1-46, April.
    20. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    21. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
    22. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E, 2017. "Economic Predictions with Big Data: The Illusion Of Sparsity," CEPR Discussion Papers 12256, C.E.P.R. Discussion Papers.
    23. Stadtmüller, Immo & Auer, Benjamin R. & Schuhmacher, Frank, 2022. "On the benefits of active stock selection strategies for diversified investors," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 342-354.
    24. Daniele Bianchi & Kenichiro McAlinn, 2018. "Large-Scale Dynamic Predictive Regressions," Papers 1803.06738, arXiv.org.
    25. Raymond C. W. Leung & Yu-Man Tam, 2021. "Statistical Arbitrage Risk Premium by Machine Learning," Papers 2103.09987, arXiv.org.
    26. Rubesam, Alexandre, 2022. "Machine learning portfolios with equal risk contributions: Evidence from the Brazilian market," Emerging Markets Review, Elsevier, vol. 51(PB).
    27. Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," Working Papers 2019-03, Joint Research Centre, European Commission.
    28. Langlois, Hugues, 2020. "Measuring skewness premia," Journal of Financial Economics, Elsevier, vol. 135(2), pages 399-424.
    29. Kozak, Serhiy & Nagel, Stefan & Santosh, Shrihari, 2020. "Shrinking the cross-section," Journal of Financial Economics, Elsevier, vol. 135(2), pages 271-292.
    30. Ge, S. & Li, S. & Linton, O., 2020. "A Dynamic Network of Arbitrage Characteristics," Cambridge Working Papers in Economics 2060, Faculty of Economics, University of Cambridge.
    31. Christopher G. Lamoureux & Huacheng Zhang, 2021. "An Empirical Assessment of Characteristics and Optimal Portfolios," Papers 2104.12975, arXiv.org, revised Jul 2022.
    32. Chaieb, Ines & Langlois, Hugues & Scaillet, Olivier, 2021. "Factors and risk premia in individual international stock returns," Journal of Financial Economics, Elsevier, vol. 141(2), pages 669-692.
    33. Eric Andr'e & Guillaume Coqueret, 2020. "Dirichlet policies for reinforced factor portfolios," Papers 2011.05381, arXiv.org, revised Jun 2021.
    34. Alois Weigand, 2019. "Machine learning in empirical asset pricing," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(1), pages 93-104, March.
    35. Hanauer, Matthias X. & Kononova, Marina & Rapp, Marc Steffen, 2022. "Boosting agnostic fundamental analysis: Using machine learning to identify mispricing in European stock markets," Finance Research Letters, Elsevier, vol. 48(C).
    36. Mohrschladt, Hannes & Nolte, Sven, 2018. "A new risk factor based on equity duration," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 126-135.
    37. Luyang Chen & Markus Pelger & Jason Zhu, 2019. "Deep Learning in Asset Pricing," Papers 1904.00745, arXiv.org, revised Aug 2021.
    38. Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2021. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Swiss Finance Institute Research Paper Series 21-09, Swiss Finance Institute.
    39. Gu, Shihao & Kelly, Bryan & Xiu, Dacheng, 2021. "Autoencoder asset pricing models," Journal of Econometrics, Elsevier, vol. 222(1), pages 429-450.
    40. Kelly, Bryan T. & Moskowitz, Tobias J. & Pruitt, Seth, 2021. "Understanding momentum and reversal," Journal of Financial Economics, Elsevier, vol. 140(3), pages 726-743.
    41. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.
    42. Paul Schneider & Christian Wagner & Josef Zechner, 2019. "Low Risk Anomalies?," Swiss Finance Institute Research Paper Series 19-50, Swiss Finance Institute.
    43. Alexander M. Chinco & Adam D. Clark-Joseph & Mao Ye, 2017. "Sparse Signals in the Cross-Section of Returns," NBER Working Papers 23933, National Bureau of Economic Research, Inc.
    44. Oleg Rytchkov & Xun Zhong, 2020. "Information Aggregation and P-Hacking," Management Science, INFORMS, vol. 66(4), pages 1605-1626, April.
    45. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
    46. Jiang, Hao & Li, Sophia Zhengzi & Wang, Hao, 2021. "Pervasive underreaction: Evidence from high-frequency data," Journal of Financial Economics, Elsevier, vol. 141(2), pages 573-599.
    47. Söhnke M. Bartram & Harald Lohre & Peter F. Pope & Ananthalakshmi Ranganathan, 2021. "Navigating the factor zoo around the world: an institutional investor perspective," Journal of Business Economics, Springer, vol. 91(5), pages 655-703, July.
    48. Smith, Simon C., 2022. "Time-variation, multiple testing, and the factor zoo," International Review of Financial Analysis, Elsevier, vol. 84(C).
    49. Connor, G. & Li, S. & Linton, O., 2020. "A Dynamic Semiparametric Characteristics-based Model for Optimal Portfolio Selection," Cambridge Working Papers in Economics 20103, Faculty of Economics, University of Cambridge.
    50. Michaely, Roni & Rossi, Stefano & Weber, Michael, 2019. "Signaling Safety," CEPR Discussion Papers 14174, C.E.P.R. Discussion Papers.
    51. Atif Ellahie, 2021. "Earnings beta," Review of Accounting Studies, Springer, vol. 26(1), pages 81-122, March.
    52. Feng, Guanhao & He, Jingyu, 2022. "Factor investing: A Bayesian hierarchical approach," Journal of Econometrics, Elsevier, vol. 230(1), pages 183-200.
    53. Dreher, Sandra & Eichfelder, Sebastian & Noth, Felix, 2022. "Does IFRS information on tax loss carryforwards and negative performance improve predictions of earnings and cash flows?," arqus Discussion Papers in Quantitative Tax Research 276, arqus - Arbeitskreis Quantitative Steuerlehre.
    54. van Binsbergen, Jules H. & Boons, Martijn & Opp, Christian C. & Tamoni, Andrea, 2023. "Dynamic asset (mis)pricing: Build-up versus resolution anomalies," Journal of Financial Economics, Elsevier, vol. 147(2), pages 406-431.
    55. De Nard, Gianluca & Zhao, Zhao, 2022. "A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 654-676.
    56. Andrew Y. Chen & Jack McCoy, 2022. "Missing Values and the Dimensionality of Expected Returns," Papers 2207.13071, arXiv.org, revised Oct 2022.
    57. Kristoffer Pons Bertelsen, 2022. "The Prior Adaptive Group Lasso and the Factor Zoo," CREATES Research Papers 2022-05, Department of Economics and Business Economics, Aarhus University.
    58. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    59. Xi Dong & Yan Li & David E. Rapach & Guofu Zhou, 2022. "Anomalies and the Expected Market Return," Journal of Finance, American Finance Association, vol. 77(1), pages 639-681, February.
    60. Kelly, Bryan T. & Pruitt, Seth & Su, Yinan, 2019. "Characteristics are covariances: A unified model of risk and return," Journal of Financial Economics, Elsevier, vol. 134(3), pages 501-524.
    61. Caio Vigo Pereira, 2020. "Portfolio Efficiency with High-Dimensional Data as Conditioning Information," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202015, University of Kansas, Department of Economics, revised Sep 2020.
    62. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.
    63. Mykola Babiak & Jozef Barunik, 2020. "Deep Learning, Predictability, and Optimal Portfolio Returns," CERGE-EI Working Papers wp677, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    64. Valentin Haddad & Serhiy Kozak & Shrihari Santosh, 2020. "Factor Timing," NBER Working Papers 26708, National Bureau of Economic Research, Inc.
    65. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    66. Gianluca De Nard & Simon Hediger & Markus Leippold, 2022. "Subsampled factor models for asset pricing: The rise of Vasa," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1217-1247, September.
    67. Huang, Dashan & Li, Jiangyuan & Wang, Liyao, 2021. "Are disagreements agreeable? Evidence from information aggregation," Journal of Financial Economics, Elsevier, vol. 141(1), pages 83-101.
    68. Liu, Tingting & Lu, Zhongjin (Gene) & Shu, Tao & Wei, Fengrong, 2022. "Unique bidder-target relatedness and synergies creation in mergers and acquisitions," Journal of Corporate Finance, Elsevier, vol. 73(C).
    69. Wolfgang Drobetz & Tizian Otto, 2021. "Empirical asset pricing via machine learning: evidence from the European stock market," Journal of Asset Management, Palgrave Macmillan, vol. 22(7), pages 507-538, December.
    70. Smith, Simon C. & Timmermann, Allan, 2022. "Have risk premia vanished?," Journal of Financial Economics, Elsevier, vol. 145(2), pages 553-576.
    71. Akbari, Amir & Ng, Lilian & Solnik, Bruno, 2021. "Drivers of economic and financial integration: A machine learning approach," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 82-102.
    72. DeMiguel, Victor & Martin-Utrera, Alberto & Nogales, Francisco J. & Uppal, Raman, 2017. "A Portfolio Perspective on the Multitude of Firm Characteristics," CEPR Discussion Papers 12417, C.E.P.R. Discussion Papers.
    73. Zheng Tracy Ke & Bryan T. Kelly & Dacheng Xiu, 2019. "Predicting Returns With Text Data," NBER Working Papers 26186, National Bureau of Economic Research, Inc.
    74. 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.).
    75. Lioui, Abraham & Tarelli, Andrea, 2022. "Chasing the ESG factor," Journal of Banking & Finance, Elsevier, vol. 139(C).

  3. Andreas Neuhierl & Michael Weber & Michael Weber, 2017. "Monetary Momentum," CESifo Working Paper Series 6648, CESifo.

    Cited by:

    1. Farshid Abdi & Botao Wu, 2018. "Informed Corporate Credit Market Before Monetary Policy Surprises: Explaining Pre-FOMC Stock Market Movements," Working Papers on Finance 1828, University of St. Gallen, School of Finance.

  4. Andreas Neuhierl & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," NBER Working Papers 22831, National Bureau of Economic Research, Inc.

    Cited by:

    1. Kroencke, Tim & Schmeling, Maik & Schrimpf, Andreas, 2019. "The FOMC Risk Shift," CEPR Discussion Papers 14037, C.E.P.R. Discussion Papers.
    2. Eksi, Ozan & Tas, Bedri Kamil Onur, 2017. "Unconventional monetary policy and the stock market’s reaction to Federal Reserve policy actions," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 136-147.
    3. Ali Ozdagli & Mihail Velikov, 2016. "Show me the money: the monetary policy risk premium," Working Papers 16-27, Federal Reserve Bank of Boston.
    4. Lakdawala, Aeimit & Schaffer, Matthew, 2019. "Federal reserve private information and the stock market," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 34-49.
    5. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    6. Semyon Malamud & Andreas Schrimpf, 2016. "Intermediation Markups and Monetary Policy Passthrough," Swiss Finance Institute Research Paper Series 16-75, Swiss Finance Institute.
    7. Caporin, Massimiliano & Pelizzon, Loriana & Plazzi, Alberto, 2020. "Does monetary policy impact international market co-movements?," SAFE Working Paper Series 276, Leibniz Institute for Financial Research SAFE.
    8. Bianchi, Francesco & Lettau, Martin & Ludvigson, Sydney, 2017. "Monetary Policy and Asset Valuation," CEPR Discussion Papers 12275, C.E.P.R. Discussion Papers.
    9. Hüning, Hendrik, 2020. "Swiss National Bank communication and investors’ uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    10. Peter Tillmann, 2020. "Financial Markets and Dissent in the ECB’s Governing Council," MAGKS Papers on Economics 202048, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

Articles

  1. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.

    Cited by:

    1. Jozef Barunik & Josef Kurka, 2021. "Frequency-Dependent Higher Moment Risks," Papers 2104.04264, arXiv.org.

  2. Chinco, Alex & Neuhierl, Andreas & Weber, Michael, 2021. "Estimating the anomaly base rate," Journal of Financial Economics, Elsevier, vol. 140(1), pages 101-126.
    See citations under working paper version above.
  3. Soohun Kim & Robert A Korajczyk & Andreas Neuhierl & Wei JiangEditor, 2021. "Arbitrage Portfolios," Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2813-2856.

    Cited by:

    1. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.

  4. Dichtl, Hubert & Drobetz, Wolfgang & Neuhierl, Andreas & Wendt, Viktoria-Sophie, 2021. "Data snooping in equity premium prediction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 72-94.

    Cited by:

    1. Oleg Rytchkov & Xun Zhong, 2020. "Information Aggregation and P-Hacking," Management Science, INFORMS, vol. 66(4), pages 1605-1626, April.
    2. Ciner, Cetin, 2022. "Predicting the equity market risk premium: A model selection approach," Economics Letters, Elsevier, vol. 215(C).

  5. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    See citations under working paper version above.
  6. Neuhierl, Andreas & Weber, Michael, 2019. "Monetary policy communication, policy slope, and the stock market," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 140-155.

    Cited by:

    1. Yuriy Gorodnichenko & Tho Pham & Oleksandr Talavera, 2021. "The Voice of Monetary Policy," Discussion Papers 21-02, Department of Economics, University of Birmingham.
    2. Kroencke, Tim & Schmeling, Maik & Schrimpf, Andreas, 2019. "The FOMC Risk Shift," CEPR Discussion Papers 14037, C.E.P.R. Discussion Papers.
    3. Andreas Neuhierl & Michael Weber, 2020. "Monetary Momentum," Working Papers 2020-39, Becker Friedman Institute for Research In Economics.
    4. Liu, Hong & Tang, Xiaoxiao & Zhou, Guofu, 2022. "Recovering the FOMC risk premium," Journal of Financial Economics, Elsevier, vol. 145(1), pages 45-68.
    5. Gómez-Cram, Roberto & Grotteria, Marco, 2022. "Real-time price discovery via verbal communication: Method and application to Fedspeak," Journal of Financial Economics, Elsevier, vol. 143(3), pages 993-1025.
    6. Han, Xun & Ma, Sichao & Peng, Yuchao & Xie, Xinyan, 2022. "Central bank communication, corporate maturity mismatch and innovation," International Review of Financial Analysis, Elsevier, vol. 84(C).
    7. Jung, Alexander & Kühl, Patrick, 2021. "Can central bank communication help to stabilise inflation expectations?," Working Paper Series 2547, European Central Bank.
    8. Ma, Chaoqun & Tian, Yonggang & Hsiao, Shisong & Deng, Liurui, 2022. "Monetary policy shocks and Bitcoin prices," Research in International Business and Finance, Elsevier, vol. 62(C).
    9. Moench, Emanuel & Stein, Tobias, 2019. "Comment on “Monetary Policy Communication, Policy Slope, and the Stock Market” by Andreas Neuhierl and Michael Weber," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 156-161.
    10. Francesco D'Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2020. "Effective Policy Communication: Targets versus Instruments," Working Papers 2020-148, Becker Friedman Institute for Research In Economics.
    11. Leombroni, Matteo & Vedolin, Andrea & Venter, Gyuri & Whelan, Paul, 2021. "Central bank communication and the yield curve," Journal of Financial Economics, Elsevier, vol. 141(3), pages 860-880.
    12. Rayane Hanifi & Klodiana Istrefi & Adrian Penalver, 2022. "Central Bank Communication of Uncertainty," Working papers 898, Banque de France.
    13. Fraccaroli, Nicolò & Giovannini, Alessandro & Jamet, Jean-Francois, 2020. "Central banks in parliaments: a text analysis of the parliamentary hearings of the Bank of England, the European Central Bank and the Federal Reserve," Working Paper Series 2442, European Central Bank.
    14. Martin T. Bohl & Dimitrios Kanelis & Pierre L. Siklos, 2022. "How Central Bank Mandates Influence Content and Tone of Communication Over Time," CQE Working Papers 9622, Center for Quantitative Economics (CQE), University of Muenster.
    15. Klodiana Istrefi & Florens Odendahl & Giulia Sestieri, 2022. "ECB Communication and its Impact on Financial Markets," Working papers 859, Banque de France.
    16. Ibrahim Ayoade Adekunle & Anthony Emeka Elekeokwuri & Serifat Olukorede Onayemi, 2020. "Stability in Stock Market Prices and Monetary Policy in Nigeria; What Does the Empirics Say?," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 2-13, August.
    17. Chao Ying, 2020. "The Pre-FOMC Announcement Drift and Private Information: Kyle Meets Macro-Finance," 2020 Papers pyi149, Job Market Papers.
    18. Bohl, Martin T. & Kanelis, Dimitrios & Siklos, Pierre L., 2023. "Central bank mandates: How differences can influence the content and tone of central bank communication," Journal of International Money and Finance, Elsevier, vol. 130(C).

  7. Neuhierl, Andreas & Scherbina, Anna & Schlusche, Bernd, 2013. "Market Reaction to Corporate Press Releases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1207-1240, August.

    Cited by:

    1. Chen, Feilong & Choi, Sungchul & Fu, Chengbo & Nycholat, Joshua, 2021. "Too high to get it right: The effect of cannabis legalization on the performance of cannabis-related stocks," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 715-734.
    2. Alexander Kerl & Carolin Schürg & Andreas Walter, 2014. "The impact of Financial Times Deutschland news on stock prices: post-announcement drifts and inattention of investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(4), pages 409-436, November.
    3. Brian Cadman & Richard Carrizosa & Xiaoxia Peng, 2020. "Inducement grants, hiring announcements, and adverse selection for new CEOs," Review of Accounting Studies, Springer, vol. 25(1), pages 279-312, March.
    4. Stefan Feuerriegel & Nicolas Prollochs, 2018. "Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation," Papers 1805.03308, arXiv.org.
    5. Yang, Shanxiang & Liu, Zhechen & Wang, Xinjie, 2020. "News sentiment, credit spreads, and information asymmetry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    6. Aman, Hiroyuki & Moriyasu, Hiroshi, 2017. "Volatility and public information flows: Evidence from disclosure and media coverage in the Japanese stock market," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 660-676.
    7. Kuang-Hsun Shih & Fu-Ju Yang & Jhih-Ta Shih & Yi-Hsien Wang, 2020. "Patent Litigation, Competitive Dynamics, and Stock Market Volatility," Mathematics, MDPI, vol. 8(5), pages 1-17, May.
    8. Liebmann, Michael & Orlov, Alexei G. & Neumann, Dirk, 2016. "The tone of financial news and the perceptions of stock and CDS traders," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 159-175.
    9. Terrence HENDERSHOTT & Dmitry LIVDAN & Norman SCHUERHOFF, 2014. "Are Institutions Informed About News?," Swiss Finance Institute Research Paper Series 14-49, Swiss Finance Institute.
    10. Edmans, Alex & Goncalves-Pinto, Luis & Wang, Yanbo & Xu, Moqi, 2014. "Strategic News Releases in Equity Vesting Months," CEPR Discussion Papers 10144, C.E.P.R. Discussion Papers.
    11. Edward A. E. Jones & Anthony K. Kyiu & Hao Li, 2021. "Earnings informativeness and trading frequency: Evidence from African markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1064-1086, January.
    12. Johannes Luger & Sebastian Raisch & Markus Schimmer, 2018. "Dynamic Balancing of Exploration and Exploitation: The Contingent Benefits of Ambidexterity," Organization Science, INFORMS, vol. 29(3), pages 449-470, June.
    13. Khurshid Ahmad & JingGuang Han & Elaine Hutson & Colm Kearney & Sha Liu, 2016. "Media-expressed negative tone and firm-level stock returns," Open Access publications 10197/8208, Research Repository, University College Dublin.
    14. Aaron J. Mandell, 2022. "The value of tunneling: Evidence from master limited partnership formations," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(1-2), pages 355-380, January.
    15. Prusak Błażej & Potrykus Marcin, 2022. "Stock price reaction to an arrangement approval in restructuring proceedings – the case of Poland," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(3), pages 279-298, September.
    16. Blazej Prusak & Marcin Potrykus, 2020. "Short-term Price Reaction to Involuntary Bankruptcies Filed in Bad Faith: Empirical Evidence from Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 873-889.
    17. Benjamin Segal & Dan Segal, 2016. "Are managers strategic in reporting non-earnings news? Evidence on timing and news bundling," Review of Accounting Studies, Springer, vol. 21(4), pages 1203-1244, December.
    18. Zhang, Heng-Guo & CAO, Tingting & Li, Houxuan & Xu, Tiantian, 2021. "Dynamic measurement of news-driven information friction in China's carbon market: Theory and evidence," Energy Economics, Elsevier, vol. 95(C).
    19. Valentina Lagasio & Marina Brogi, 2021. "Market reaction to banks’ interim press releases: an event study analysis," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(1), pages 95-119, March.
    20. Caglayan, Mustafa Onur & Xue, Wenjun & Zhang, Liwen, 2020. "Global investigation on the country-level idiosyncratic volatility and its determinants," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 143-160.
    21. Siikanen, Milla & Kanniainen, Juho & Valli, Jaakko, 2017. "Limit order books and liquidity around scheduled and non-scheduled announcements: Empirical evidence from NASDAQ Nordic," Finance Research Letters, Elsevier, vol. 21(C), pages 264-271.
    22. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.
    23. Frank, Murray Z. & Sanati, Ali, 2018. "How does the stock market absorb shocks?," Journal of Financial Economics, Elsevier, vol. 129(1), pages 136-153.
    24. Kammoun, Manel & Power, Gabriel J. & Tandja M, Djerry C., 2022. "Capital market reactions to project finance loans," Finance Research Letters, Elsevier, vol. 45(C).
    25. María Gutiérrez & Nino Papiashvili & Josep A. Tribó & Antonio B. Vazquez, 2020. "Managerial incentives for attracting attention," European Financial Management, European Financial Management Association, vol. 26(4), pages 896-937, September.
    26. John S. Howe & Thibaut G. Morillon, 2017. "Do Mergers and Acquisitions Affect Information Asymmetry in the Banking Sector?," NFI Working Papers 2017-WP-01, Indiana State University, Scott College of Business, Networks Financial Institute.
    27. Błażej Prusak & Marcin Potrykus, 2021. "Short-Term Price Reaction to Filing for Bankruptcy and Restructuring Proceedings—The Case of Poland," Risks, MDPI, vol. 9(3), pages 1-14, March.

  8. Bamberg G. & Neuhierl A., 2012. "Growth Optimal Investment Strategy: The Impact of Reallocation Frequency and Heavy Tails," German Economic Review, De Gruyter, vol. 13(2), pages 228-240, May.

    Cited by:

    1. Svetlozar Rachev & Stoyan Stoyanov & Stefan Mittnik & Frank J. Fabozzi & Abootaleb Shirvani, 2017. "Behavioral Finance -- Asset Prices Predictability, Equity Premium Puzzle, Volatility Puzzle: The Rational Finance Approach," Papers 1710.03211, arXiv.org, revised Feb 2020.

  9. Andreas Neuhierl & Bernd Schlusche, 2011. "Data Snooping and Market-Timing Rule Performance," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 9(3), pages 550-587, Summer.

    Cited by:

    1. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
    2. Andriosopoulos, Kostas & Doumpos, Michael & Papapostolou, Nikos C. & Pouliasis, Panos K., 2013. "Portfolio optimization and index tracking for the shipping stock and freight markets using evolutionary algorithms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 52(C), pages 16-34.
    3. Damian Pastor & Pavel Kisela & Viliam Kovac & Tomas Sabol & Viliam Vajda, 2015. "Application Of Market Valuation Models In Portfolio Management," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 12(1), pages 154-165, DEcember.
    4. Stefan Feuerriegel & Helmut Prendinger, 2018. "News-based trading strategies," Papers 1807.06824, arXiv.org.
    5. Dichtl, Hubert & Drobetz, Wolfgang & Neuhierl, Andreas & Wendt, Viktoria-Sophie, 2021. "Data snooping in equity premium prediction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 72-94.
    6. Oleg Rytchkov & Xun Zhong, 2020. "Information Aggregation and P-Hacking," Management Science, INFORMS, vol. 66(4), pages 1605-1626, April.
    7. Flavio Ivo Riedlinger & João Nicolau, 2020. "The Profitability in the FTSE 100 Index: A New Markov Chain Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(1), pages 61-81, March.
    8. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Discussion Papers 46/2020, Deutsche Bundesbank.

Chapters

  1. Roland Eisenhuth & Dermot Murphy & Andreas Neuhierl, 2018. "Casino game markets," Chapters, in: Victor J. Tremblay & Elizabeth Schroeder & Carol Horton Tremblay (ed.), Handbook of Behavioral Industrial Organization, chapter 10, pages 257-290, Edward Elgar Publishing.

    Cited by:

    1. Daske, Thomas, 2019. "Efficient Incentives in Social Networks: "Gamification" and the Coase Theorem," EconStor Preprints 193148, ZBW - Leibniz Information Centre for Economics.

More information

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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 9 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-MON: Monetary Economics (5) 2016-11-27 2017-08-06 2017-11-05 2018-08-27 2020-10-05. Author is listed
  2. NEP-CBA: Central Banking (4) 2016-11-27 2017-08-06 2018-08-27 2020-10-05
  3. NEP-ECM: Econometrics (3) 2017-04-09 2019-12-16 2023-01-23
  4. NEP-ORE: Operations Research (1) 2018-09-10

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