Agent-based financial markets and New Keynesian macroeconomics: a synthesis

被引:0
|
作者
Matthias Lengnick
Hans-Werner Wohltmann
机构
[1] University of Kiel,Department of Economics
关键词
Agent-based modeling; Stock market; New Keynesian macroeconomics; Financial transaction tax; Financial activities tax; E0; E62; G01; G18;
D O I
暂无
中图分类号
学科分类号
摘要
We combine a simple agent-based model of financial markets and a New Keynesian macroeconomic model with bounded rationality via two straightforward channels. The result is a macroeconomic model that allows for the endogenous development of business cycles and stock price bubbles. We show that market sentiments exert important influence on the macroeconomy: Impulse-response functions of macroeconomic variables become more volatile which makes the effect of a given shock hard to predict. We also analyze the impact of different types of financial transaction taxes that are currently debated among policy makers (FTT, FAT, progressive FAT) and find that such taxes are well suited to stabilize the economy and raise funds from the financial sector as a contribution to the enormous costs created during the recent crisis. Our simulations suggest that the FTT leads to higher tax revenues and better stabilization results then the FAT. However, the FTT might also create huge distortion if set too high, a threat which the FAT does not imply.
引用
收藏
页码:1 / 32
页数:31
相关论文
共 50 条
  • [1] Agent-based financial markets and New Keynesian macroeconomics: a synthesis
    Lengnick, Matthias
    Wohltmann, Hans-Werner
    JOURNAL OF ECONOMIC INTERACTION AND COORDINATION, 2013, 8 (01) : 1 - 32
  • [2] Agent-based models of financial markets
    Samanidou, E.
    Zschischang, E.
    Stauffer, D.
    Lux, T.
    REPORTS ON PROGRESS IN PHYSICS, 2007, 70 (03) : 409 - 450
  • [3] Behavioral Macroeconomics and Agent-Based Macroeconomics
    Chen, Shu-Heng
    Gostoli, Umberto
    DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 11TH INTERNATIONAL CONFERENCE, 2014, 290 : 47 - 54
  • [4] MULTIFRACTAL ANALYSIS OF AGENT-BASED FINANCIAL MARKETS
    Thompson, James R.
    Wilson, James R.
    2013 WINTER SIMULATION CONFERENCE (WSC), 2013, : 1383 - 1394
  • [5] Complex agent-based macroeconomics: a manifesto for a new paradigm
    Domenico Delli Gatti
    Edoardo Gaffeo
    Mauro Gallegati
    Journal of Economic Interaction and Coordination, 2010, 5 : 111 - 135
  • [6] Complex agent-based macroeconomics: a manifesto for a new paradigm
    Gatti, Domenico Delli
    Gaffeo, Edoardo
    Gallegati, Mauro
    JOURNAL OF ECONOMIC INTERACTION AND COORDINATION, 2010, 5 (02) : 111 - 135
  • [7] Interactive estimation of agent-based financial markets models
    Ecemis, I
    Bonabeau, E
    Ashburn, T
    Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3, 2005, : 845 - 848
  • [8] Convex incentives in financial markets: an agent-based analysis
    Fabretti A.
    Gärling T.
    Herzel S.
    Holmen M.
    Decisions in Economics and Finance, 2017, 40 (1-2) : 375 - 395
  • [9] Agent-based financial markets: A review of the methodology and domain
    Todd, Andrew
    Beling, Peter
    Scherer, William
    Yang, Steve Y.
    PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2016,
  • [10] Consentaneous Agent-Based and Stochastic Model of the Financial Markets
    Gontis, Vygintas
    Kononovicius, Aleksejus
    PLOS ONE, 2014, 9 (07):