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News Driven Business Cycles and Data on Asset Prices in Estimated DSGE Models

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  • Stefan Avdjiev

    (Bank for International Settlements)

Abstract

We demonstrate that inference from estimated structural News Driven Business Cycle (NDBC) models about the main drivers of fluctuations in macroeconomic variables and asset prices is sensitive to assumptions about the structure of the news shock processes. We show that, when data on asset prices are used in the estimation, a long-run news shock specification has a better fit than the short-run news shock specification which is prevalent the existing literature. The variance decompositions from the former model specification reveal that long-run news shocks are not the main drivers of macroeconomic variables, but do account for the majority of aggregate stock market fluctuations. (Copyright: Elsevier)

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  • Stefan Avdjiev, 2016. "News Driven Business Cycles and Data on Asset Prices in Estimated DSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 181-197, April.
    • Handle: RePEc:red:issued:12-186
    DOI: 10.1016/j.red.2015.01.002
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    Cited by:

    1. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    2. Ali, Syed Zahid & Anwar, Sajid, 2018. "Anticipated versus unanticipated terms of trade shocks and the J-curve phenomenon," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 1-19.
    3. Iskrev, Nikolay, 2018. "Are asset price data informative about news shocks? A DSGE perspective," Working Paper Series 2161, European Central Bank.
    4. Renato Faccini & Leonardo Melosi, 2022. "Pigouvian Cycles," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(2), pages 281-318, April.
    5. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.
    6. Rudi Steinbach & Stan du Plessis & Ben Smit, 2014. "Monetary policy and financial shocks in an empirical small open-economy DSGE model," EcoMod2014 7194, EcoMod.
    7. T. Gerasimos S. & V. Erotokritos & Т. Герасимос С. & В. Эротокритос, 2017. "Предварительный поведенческий подход в таргетированию реальных доходов // A Tentative Behavioral Approach to Real Income Targeting," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 5(1), pages 17-31.
    8. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: A Survey," Advances in Econometrics, in: DSGE Models in Macroeconomics: Estimation, Evaluation, and New Developments, pages 3-38, Emerald Group Publishing Limited.
    9. Shesadri Banerjee & Jayanthi K. Anand & Shashanka Bhide, 2021. "Estimation of Macro-financial Linkages for the Indian Economy," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 20(1), pages 7-47, April.
    10. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    11. Bretscher, Lorenzo & Malkhozov, Aytek & Tamoni, Andrea, 2021. "Expectations and aggregate risk," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 91-108.
    12. Stefan Avdjiev, 2016. "News Driven Business Cycles and Data on Asset Prices in Estimated DSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 181-197, April.
    13. Lorenzo Bretscher & Andrea Tamoni & Aytek Malkhozov, 2019. "News Shocks and Asset Prices," 2019 Meeting Papers 100, Society for Economic Dynamics.
    14. Ali, Syed Zahid & Anwar, Sajid, 2018. "Price puzzle in a small open New Keynesian model," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 29-42.
    15. Soldatos, Gerasimos T. & Varelas, Erotokritos, 2017. "Firms’ rational expectations, workers’ psychology, and monetary policy in a behavioral real business cycle model," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 129-139.

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    More about this item

    Keywords

    News Driven Business Cycles; Asset prices; Estimated DSGE models; Bayesian MCMC methods;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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