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David Goldbaum

Personal Details

First Name:David
Middle Name:H.
Last Name:Goldbaum
Suffix:
RePEc Short-ID:pgo86
[This author has chosen not to make the email address public]
https://sites.google.com/site/davidhgoldbaum/home

Affiliation

Economics Discipline Group
Business School
University of Technology Sydney

Sydney, Australia
http://business.uts.edu.au/economics/
RePEc:edi:edutsau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. David Goldbaum, 2016. "Divergent behavior in markets with idiosyncratic private information," Working Paper Series 34, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  2. David Goldbaum, 2016. "Conformity and Influence," Working Paper Series 35, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  3. David Goldbaum, 2016. "Networks formation to assist decision making," Working Paper Series 37, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  4. AJ Bostian & David Goldbaum, 2016. "Emergent Coordination among Competitors," Working Paper Series 36, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  5. David Goldbaum, 2013. "Follow the Leader: Simulations on a Dynamic Social Network," Working Paper Series 15, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  6. David Goldbaum, 2013. "Learning and Adaptation as a Source of Market Failure," Working Paper Series 14, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  7. David Goldbaum, 2009. "Follow the Leader: Steady State Analysis of a Dynamic Social Network," Working Paper Series 158, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
  8. David Goldbaum & Bruce Mizrach, 2004. "Estimating the Intensity of Choice in a Dynamic Mutual Fund Allocation Decision," Departmental Working Papers 200414, Rutgers University, Department of Economics.
  9. David Goldbaum, 2004. "On the Possibility of Informationally Efficient Markets," Computing in Economics and Finance 2004 139, Society for Computational Economics.
  10. David Goldbaum, 2003. "Coordinated Investing with Feedback and Learning," Computing in Economics and Finance 2003 213, Society for Computational Economics.
  11. David Goldbaum, 2002. "Investment and Discovery: Market coordination when investing in projects with endogenous payoffs," Computing in Economics and Finance 2002 118, Society for Computational Economics.
  12. David Goldbaum, 2001. "Market Efficiency and Learning in an Endogenously Unstable Environment," Computing in Economics and Finance 2001 105, Society for Computational Economics.
  13. David Goldbaum, 2000. "Profitability And Market Stability: Fundamentals And Technical Trading Rules," Computing in Economics and Finance 2000 85, Society for Computational Economics.
  14. David Goldbaum, "undated". "A Dynamic Model of Information Selection in Asset Markets," Computing in Economics and Finance 1997 56, Society for Computational Economics.
    repec:run:wpaper:2004-008 is not listed on IDEAS
    repec:run:wpaper:2004-007 is not listed on IDEAS
    repec:run:wpaper:2004-002 is not listed on IDEAS
    repec:run:wpaper:2004-009 is not listed on IDEAS
    repec:run:wpaper:2004-011 is not listed on IDEAS

Articles

  1. Goldbaum, David, 2021. "The origins of influence," Economic Modelling, Elsevier, vol. 97(C), pages 380-396.
  2. Goldbaum David, 2019. "Conformity and Influence," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(1), pages 1-29, January.
  3. Goldbaum, David, 2017. "Divergent Behavior in Markets with Idiosyncratic Private Information," Review of Behavioral Economics, now publishers, vol. 4(2), pages 181-213, September.
  4. Goldbaum, David & Zwinkels, Remco C.J., 2014. "An empirical examination of heterogeneity and switching in foreign exchange markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 667-684.
  5. Goldbaum, David & Panchenko, Valentyn, 2010. "Learning and adaptation's impact on market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 635-653, December.
  6. Goldbaum, David, 2008. "Coordinated investing with feedback and learning," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 202-223, February.
  7. Goldbaum, David & Mizrach, Bruce, 2008. "Estimating the intensity of choice in a dynamic mutual fund allocation decision," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3866-3876, December.
  8. Goldbaum, David, 2006. "Self-organization and the persistence of noise in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1837-1855.
  9. Goldbaum, David, 2005. "Market efficiency and learning in an endogenously unstable environment," Journal of Economic Dynamics and Control, Elsevier, vol. 29(5), pages 953-978, May.
  10. David Goldbaum, 2003. "Profitable technical trading rules as a source of price instability," Quantitative Finance, Taylor & Francis Journals, vol. 3(3), pages 220-229.
  11. Goldbaum, David, 2000. "Life Cycle Consumption of a Harmful and Addictive Good," Economic Inquiry, Western Economic Association International, vol. 38(3), pages 458-469, July.
  12. Goldbaum, David, 1999. "A nonparametric examination of market information: application to technical trading rules," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 59-85, January.

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. David Goldbaum, 2016. "Conformity and Influence," Working Paper Series 35, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. David Goldbaum, 2016. "Networks formation to assist decision making," Working Paper Series 37, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    2. AJ Bostian & David Goldbaum, 2016. "Emergent Coordination among Competitors," Working Paper Series 36, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

  2. David Goldbaum, 2013. "Follow the Leader: Simulations on a Dynamic Social Network," Working Paper Series 15, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. David Goldbaum, 2009. "Follow the Leader: Steady State Analysis of a Dynamic Social Network," Working Paper Series 158, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Thompson, Michael & Young, Louise, 2014. "Measuring complex patterns in space–time," Australasian marketing journal, Elsevier, vol. 22(1), pages 28-35.

  3. David Goldbaum & Bruce Mizrach, 2004. "Estimating the Intensity of Choice in a Dynamic Mutual Fund Allocation Decision," Departmental Working Papers 200414, Rutgers University, Department of Economics.

    Cited by:

    1. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of Animal Spirits in a Bounded Rationality Model: An Application to the Euro Area," MPRA Paper 37399, University Library of Munich, Germany.
    3. Lines Marji & Westerhoff Frank, 2012. "Effects of Inflation Expectations on Macroeconomic Dynamics: Extrapolative Versus Regressive Expectations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-30, October.
    4. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    5. Anufriev, Mikhail & Bao, Te & Tuinstra, Jan, 2016. "Microfoundations for switching behavior in heterogeneous agent models: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 74-99.
    6. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner & Wang, Tongya, 2016. "Itchy feet vs cool heads: Flow of funds in an agent-based financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 63(C), pages 53-68.
    7. De Grauwe, Paul & Markiewicz, Agnieszka, 2013. "Learning to forecast the exchange rate: Two competing approaches," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 42-76.
    8. Lux, Thomas, 2012. "Estimation of an agent-based model of investor sentiment formation in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1284-1302.
    9. Carl Chiarella & Xue-Zhong He & Weihong Huang & Huanhuan Zheng, 2011. "Estimating Behavioural Heterogeneity Under Regime Switching," Research Paper Series 290, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Mahayni, Antje & Schoenmakers, John G.M., 2011. "Minimum return guarantees with fund switching rights—An optimal stopping problem," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1880-1897.
    11. Blake LeBaron, 2011. "Active and Passive Learning in Agent-based Financial Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 35-43.
    12. Anufriev, M. & Tuinstra, J. & Bao, T., 2013. "Fund Choice Behavior and Estimation of Switching Models: An Experiment," CeNDEF Working Papers 13-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    13. Tae-Seok Jang & Stephen Sacht, 2016. "Animal Spirits and the Business Cycle: Empirical Evidence from Moment Matching," Metroeconomica, Wiley Blackwell, vol. 67(1), pages 76-113, February.
    14. Xue-Zhong He & Youwei Li, 2017. "The adaptiveness in stock markets: testing the stylized facts in the DAX 30," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1071-1094, November.
    15. Michael Wegener & Frank Westerhoff, 2012. "Evolutionary competition between prediction rules and the emergence of business cycles within Metzler’s inventory model," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 251-273, April.
    16. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    17. Goldbaum, David & Zwinkels, Remco C.J., 2014. "An empirical examination of heterogeneity and switching in foreign exchange markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 667-684.
    18. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 38-51.
    19. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).

  4. David Goldbaum, 2003. "Coordinated Investing with Feedback and Learning," Computing in Economics and Finance 2003 213, Society for Computational Economics.

    Cited by:

    1. Demirer, Rıza & Kutan, Ali M. & Zhang, Huacheng, 2014. "Do ADR investors herd?: Evidence from advanced and emerging markets," International Review of Economics & Finance, Elsevier, vol. 30(C), pages 138-148.
    2. Demirer, Riza & Kutan, Ali M. & Chen, Chun-Da, 2010. "Do investors herd in emerging stock markets?: Evidence from the Taiwanese market," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 283-295, November.
    3. Tihana Škrinjarić, 2018. "Revisiting Herding Investment Behavior on the Zagreb Stock Exchange: A Quantile Regression Approach," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(2), pages 119-162, December.
    4. Johannes M. Lehner & David McMillan, 2015. "Making sense in asset markets: Strategies for Implicit Organizations," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1024022-102, December.

  5. David Goldbaum, 2001. "Market Efficiency and Learning in an Endogenously Unstable Environment," Computing in Economics and Finance 2001 105, Society for Computational Economics.

    Cited by:

    1. Goldbaum, David & Panchenko, Valentyn, 2010. "Learning and adaptation's impact on market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 635-653, December.
    2. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    3. Diks, C.G.H. & Dindo, P.D.E., 2006. "Informational differences and learning in an asset market with boundedly rational agents," CeNDEF Working Papers 06-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    4. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    5. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2008. "More hedging instruments may destabilize markets," CeNDEF Working Papers 08-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    6. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    7. David Goldbaum, 2003. "Profitable technical trading rules as a source of price instability," Quantitative Finance, Taylor & Francis Journals, vol. 3(3), pages 220-229.
    8. David Goldbaum, 2016. "Divergent behavior in markets with idiosyncratic private information," Working Paper Series 34, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    10. David Goldbaum, 2013. "Learning and Adaptation as a Source of Market Failure," Working Paper Series 14, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Goldbaum, David, 2006. "Self-organization and the persistence of noise in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1837-1855.

  6. David Goldbaum, 2000. "Profitability And Market Stability: Fundamentals And Technical Trading Rules," Computing in Economics and Finance 2000 85, Society for Computational Economics.

    Cited by:

    1. Carol L. Osler, 2001. "Currency orders and exchange-rate dynamics: explaining the success of technical analysis," Staff Reports 125, Federal Reserve Bank of New York.
    2. Farmer, J. Doyne & Joshi, Shareen, 2002. "The price dynamics of common trading strategies," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 149-171, October.

Articles

  1. Goldbaum David, 2019. "Conformity and Influence," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(1), pages 1-29, January.
    See citations under working paper version above.
  2. Goldbaum, David & Zwinkels, Remco C.J., 2014. "An empirical examination of heterogeneity and switching in foreign exchange markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 667-684.

    Cited by:

    1. Joscha Beckmann & Robert L. Czudaj, 2022. "Exchange rate expectation, abnormal returns, and the COVID-19 pandemic," Chemnitz Economic Papers 054, Department of Economics, Chemnitz University of Technology, revised Jan 2022.
    2. Jackson, Antony & Ladley, Daniel, 2016. "Market ecologies: The effect of information on the interaction and profitability of technical trading strategies," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 270-280.
    3. Gardini, Laura & Radi, Davide & Schmitt, Noemi & Sushko, Iryna & Westerhoff, Frank, 2022. "Currency manipulation and currency wars: Analyzing the dynamics of competitive central bank interventions," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).
    4. Beckmann, Joscha, 2021. "Measurement and effects of euro/dollar exchange rate uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 773-790.
    5. Michael Frenkel & Matthias Mauch & Jan-Christoph Rülke, 2017. "Forecaster Rationality and Expectation Formation in Foreign Exchange Markets: Do Emerging Markets Differ from Industrialized Economies?," WHU Working Paper Series - Economics Group 17-04, WHU - Otto Beisheim School of Management.
    6. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    7. Beckmann, Joscha & Czudaj, Robert, 2017. "Exchange rate expectations since the financial crisis: Performance evaluation and the role of monetary policy and safe haven," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168291, Verein für Socialpolitik / German Economic Association.
    8. Beckmann, Joscha & Czudaj, Robert L., 2020. "Fundamental determinants of exchange rate expectations," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224617, Verein für Socialpolitik / German Economic Association.
    9. Philip A. Stork & Milan Vidojevic & Remco C. J. Zwinkels, 2021. "Behavioral heterogeneity in return expectations across equity style portfolios," International Review of Finance, International Review of Finance Ltd., vol. 21(4), pages 1225-1250, December.
    10. Mignot, Sarah & Westerhoff, Frank H., 2023. "Explaining the stylized facts of foreign exchange markets with a simple agent-based version of Paul de Grauwe's chaotic exchange rate model," BERG Working Paper Series 189, Bamberg University, Bamberg Economic Research Group.
    11. Blake LeBaron, 2021. "Microconsistency in Simple Empirical Agent-Based Financial Models," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 83-101, June.
    12. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    13. Schmitt, Noemi & Westerhoff, Frank, 2015. "Managing rational routes to randomness," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 157-173.
    14. Filippo Gusella & Giorgio Ricchiuti, 2022. "A State-Space Approach for Time-Series Prediction of an Heterogeneous Agent Model," Working Papers - Economics wp2022_20.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    15. Saskia ter Ellen & Willem F. C. Verschoor, 2018. "Heterogeneous Beliefs and Asset Price Dynamics: A Survey of Recent Evidence," Dynamic Modeling and Econometrics in Economics and Finance, in: Fredj Jawadi (ed.), Uncertainty, Expectations and Asset Price Dynamics, pages 53-79, Springer.
    16. Saskia ter Ellen & Willem F.C. Verschoor, 2017. "Heterogeneous beliefs and asset price dynamics: a survey of recent evidence," Working Paper 2017/22, Norges Bank.

  3. Goldbaum, David & Panchenko, Valentyn, 2010. "Learning and adaptation's impact on market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 635-653, December.

    Cited by:

    1. Anufriev, Mikhail & Bao, Te & Tuinstra, Jan, 2016. "Microfoundations for switching behavior in heterogeneous agent models: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 74-99.
    2. Anufriev, M. & Arifovic, J. & Ledyard, D. & Panchenko, V., 2010. "Efficiency of Continuous Double Auctions under Individual Evolutionary Learning with Full or Limited Information," CeNDEF Working Papers 10-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. David Goldbaum, 2016. "Divergent behavior in markets with idiosyncratic private information," Working Paper Series 34, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Olga A. Rud & Jean Paul Rabanal, 2018. "Evolution of markets: a simulation with centralized, decentralized and posted offer formats," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 667-689, August.
    5. Goldbaum, David & Zwinkels, Remco C.J., 2014. "An empirical examination of heterogeneity and switching in foreign exchange markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 667-684.
    6. Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2013. "Asset Price Dynamics with Heterogeneous Beliefs and Local Network Interactions," Discussion Papers 2013-18, School of Economics, The University of New South Wales.

  4. Goldbaum, David, 2008. "Coordinated investing with feedback and learning," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 202-223, February.
    See citations under working paper version above.
  5. Goldbaum, David & Mizrach, Bruce, 2008. "Estimating the intensity of choice in a dynamic mutual fund allocation decision," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3866-3876, December.
    See citations under working paper version above.
  6. Goldbaum, David, 2006. "Self-organization and the persistence of noise in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1837-1855.

    Cited by:

    1. Goldbaum, David & Panchenko, Valentyn, 2010. "Learning and adaptation's impact on market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 635-653, December.
    2. David Anzola & Peter Barbrook-Johnson & Juan I. Cano, 2017. "Self-organization and social science," Computational and Mathematical Organization Theory, Springer, vol. 23(2), pages 221-257, June.
    3. Bouwe R. Dijkstra, 2011. "Good and Bad Equilibria with the Informal Sector," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 167(4), pages 668-685, December.
    4. Caccioli, Fabio & Marsili, Matteo, 2010. "Information efficiency and financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-20.
    5. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2008. "More hedging instruments may destabilize markets," CeNDEF Working Papers 08-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    6. David Goldbaum, 2016. "Divergent behavior in markets with idiosyncratic private information," Working Paper Series 34, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    7. David Goldbaum, 2013. "Learning and Adaptation as a Source of Market Failure," Working Paper Series 14, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    8. Florian Hauser & Jürgen Huber & Bob Kaempff, 2015. "Costly Information in Markets with Heterogeneous Agents: A Model with Genetic Programming," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 205-229, August.

  7. Goldbaum, David, 2005. "Market efficiency and learning in an endogenously unstable environment," Journal of Economic Dynamics and Control, Elsevier, vol. 29(5), pages 953-978, May.
    See citations under working paper version above.
  8. David Goldbaum, 2003. "Profitable technical trading rules as a source of price instability," Quantitative Finance, Taylor & Francis Journals, vol. 3(3), pages 220-229.

    Cited by:

    1. Goldbaum, David & Mizrach, Bruce, 2008. "Estimating the intensity of choice in a dynamic mutual fund allocation decision," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3866-3876, December.
    2. Carl Chiarella & Xue-Zhong He & Cars Hommes, 2004. "A Dynamic Analysis of Moving Average Rules," Research Paper Series 133, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. He, Xue-Zhong & Zheng, Min, 2010. "Dynamics of moving average rules in a continuous-time financial market model," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 615-634, December.
    4. Yehong Liu & Guosheng Yin, 2018. "Average Holding Price," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-20, March.
    5. Tsung-Hsun Lu & Yung-Ming Shiu, 2016. "Can 1-day candlestick patterns be profitable on the 30 component stocks of the DJIA?," Applied Economics, Taylor & Francis Journals, vol. 48(35), pages 3345-3354, July.
    6. Sermpinis, Georgios & Hassanniakalager, Arman & Stasinakis, Charalampos & Psaradellis, Ioannis, 2021. "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    7. Farias Nazário, Rodolfo Toríbio & e Silva, Jéssica Lima & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2017. "A literature review of technical analysis on stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 115-126.
    8. Tsung-Hsun Lu & Yung-Ming Shiu, 2012. "Tests for Two-Day Candlestick Patterns in the Emerging Equity Market of Taiwan," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 41-57, January.
    9. David Goldbaum, 2016. "Divergent behavior in markets with idiosyncratic private information," Working Paper Series 34, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    10. David Goldbaum, 2013. "Learning and Adaptation as a Source of Market Failure," Working Paper Series 14, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Eero P䴤ri & Mika Vilska, 2014. "Performance of moving average trading strategies over varying stock market conditions: the Finnish evidence," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2851-2872, August.

  9. Goldbaum, David, 2000. "Life Cycle Consumption of a Harmful and Addictive Good," Economic Inquiry, Western Economic Association International, vol. 38(3), pages 458-469, July.

    Cited by:

    1. Nuria Badenes-Plá & Andrew M. Jones, 2003. "Addictive goods and taxes: A survey from an economic perspective," Hacienda Pública Española / Review of Public Economics, IEF, vol. 167(4), pages 123-153, December.
    2. Carbone, Jared & Kverndokk, Snorre & Røgeberg, Ole-Jørgen, 2009. "Smoking and Health Investments: Impacts of Health Adaptation and Damage Reversibility," HERO Online Working Paper Series 2003:12, University of Oslo, Health Economics Research Programme.
    3. Robert Goldfarb & Thomas Leonard & Steven Suranovic, 2001. "Are rival theories of smoking underdetermined?," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(2), pages 229-251.
    4. Steven M. Suranovic, 2005. "An Economic Model of Youth Smoking: Tax and Welfare Effects," HEW 0511003, University Library of Munich, Germany.
    5. Marysia Ogrodnik, 2015. "An Economic Model of Stages of Addictive Consumption," Documents de travail du Centre d'Economie de la Sorbonne 15075, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    6. Marysia Ogrodnik, 2015. "An Economic Model of the Stages of Addictive Consumption," Post-Print halshs-01224553, HAL.
    7. Sophie Massin, 2011. "La notion d'addiction en économie : la théorie du choix rationnel à l'épreuve," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00671266, HAL.
    8. O’Donoghue, Ted & Rabin, Matthew, 2002. "Addiction and Present-Biased Preferences," Department of Economics, Working Paper Series qt3v86x53j, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    9. Alamar Benjamin & Glantz Stanton A., 2006. "Modeling Addictive Consumption as an Infectious Disease," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-24, March.
    10. Picone Gabriel & Sloan Frank, 2003. "Smoking Cessation and Lifestyle Changes," Forum for Health Economics & Policy, De Gruyter, vol. 6(1), pages 1-30, January.
    11. Junmin Wan, 2004. "Consumption of Cigarettes, Nicotine, and Tar under Anti-smoking Policies: Japan as a Case Study," Discussion Papers in Economics and Business 04-12-Rev, Osaka University, Graduate School of Economics, revised Mar 2006.
    12. Grignon, Michel, 2009. "An empirical investigation of heterogeneity in time preferences and smoking behaviors," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(5), pages 739-751, October.
    13. Carbone, Jared C. & Kverndokk, Snorre & Rogeberg, Ole Jorgen, 2005. "Smoking, health, risk, and perception," Journal of Health Economics, Elsevier, vol. 24(4), pages 631-653, July.
    14. Sophie Massin, 2008. "The notion of addiction in economics and its challenge to the theory of rational choice [La notion d'addiction en économie : la théorie du choix rationnel à l'épreuve]," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00331284, HAL.
    15. Ole Rogeberg, 2003. "Preferences, Rationality and Welfare in Becker's Extended Utility Approach," Rationality and Society, , vol. 15(3), pages 283-323, August.

  10. Goldbaum, David, 1999. "A nonparametric examination of market information: application to technical trading rules," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 59-85, January.

    Cited by:

    1. Lu, Tsung-Hsun, 2014. "The profitability of candlestick charting in the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 65-78.
    2. David Goldbaum, 2003. "Profitable technical trading rules as a source of price instability," Quantitative Finance, Taylor & Francis Journals, vol. 3(3), pages 220-229.
    3. Ayadi, Mohamed A. & Kryzanowski, Lawrence, 2005. "Portfolio performance measurement using APM-free kernel models," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 623-659, March.
    4. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.

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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 16 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 (6) 2004-06-28 2008-11-18 2013-09-06 2013-11-29 2016-11-27 2016-11-27. Author is listed
  2. NEP-MIC: Microeconomics (6) 2001-05-02 2004-03-28 2004-07-26 2016-11-27 2016-11-27 2016-11-27. Author is listed
  3. NEP-GTH: Game Theory (4) 2013-11-29 2016-11-27 2016-11-27 2016-11-27
  4. NEP-FIN: Finance (3) 2004-07-26 2004-11-22 2005-11-19
  5. NEP-SOC: Social Norms and Social Capital (3) 2008-11-18 2009-01-24 2013-11-29
  6. NEP-CDM: Collective Decision-Making (2) 2016-11-27 2016-11-27
  7. NEP-CFN: Corporate Finance (2) 2004-07-26 2004-10-21
  8. NEP-FMK: Financial Markets (2) 2001-05-02 2004-07-26
  9. NEP-NET: Network Economics (2) 2008-11-18 2009-01-24
  10. NEP-CBE: Cognitive and Behavioural Economics (1) 2008-11-18
  11. NEP-DCM: Discrete Choice Models (1) 2004-11-22
  12. NEP-EVO: Evolutionary Economics (1) 2004-06-27
  13. NEP-EXP: Experimental Economics (1) 2016-11-27
  14. NEP-HPE: History and Philosophy of Economics (1) 2016-11-27
  15. NEP-ICT: Information and Communication Technologies (1) 2013-09-06
  16. NEP-LAB: Labour Economics (1) 2004-06-22
  17. NEP-MST: Market Microstructure (1) 2016-11-27

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