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Fabio Verona

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Gulan, Adam & Jokivuolle, Esa & Verona, Fabio, 2022. "Optimal bank capital requirements: What do the macroeconomic models say?," BoF Economics Review 2/2022, Bank of Finland.

    Mentioned in:

    1. Optimal bank capital requirements: What do the macroeconomic models say?
      by Christian Zimmermann in NEP-DGE blog on 2022-06-27 21:17:20
  2. Fabio Verona & Manuel M. F. Martins & Inês Drumond, 2011. "Monetary policy shocks in a DSGE model with a shadow banking system," CEF.UP Working Papers 1101, Universidade do Porto, Faculdade de Economia do Porto.

    Mentioned in:

    1. Monetary policy shocks in a DSGE model with a shadow banking system
      by Christian Zimmermann in NEP-DGE blog on 2011-02-21 09:53:54

Working papers

  1. Dück, Alexander & Verona, Fabio, 2023. "Robust frequency-based monetary policy rules," IMFS Working Paper Series 180, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).

    Cited by:

    1. Dück, Alexander & Le, Anh H., 2023. "Transition risk uncertainty and robust optimal monetary policy," IMFS Working Paper Series 187, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).

  2. Darracq Pariès, Matthieu & Notarpietro, Alessandro & Kilponen, Juha & Papadopoulou, Niki & Zimic, Srečko & Aldama, Pierre & Langenus, Geert & Alvarez, Luis Julian & Lemoine, Matthieu & Angelini, Elena, 2021. "Review of macroeconomic modelling in the Eurosystem: current practices and scope for improvement," Occasional Paper Series 267, European Central Bank.

    Cited by:

    1. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    2. Arce, Óscar & Ciccarelli, Matteo & Montes-Galdón, Carlos & Kornprobst, Antoine, 2024. "What caused the euro area post-pandemic inflation?," Occasional Paper Series 343, European Central Bank.

  3. Manuel M. F. Martins & Fabio Verona, 2021. "Inflation Dynamics and Forecast: Frequency Matters," CEF.UP Working Papers 2101, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Faria, Gonçalo & Verona, Fabio, 2023. "Forecast combination in the frequency domain," Bank of Finland Research Discussion Papers 1/2023, Bank of Finland.
    2. Dück, Alexander & Verona, Fabio, 2023. "Robust frequency-based monetary policy rules," IMFS Working Paper Series 180, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).

  4. Faria, Gonçalo & Verona, Fabio, 2020. "Time-frequency forecast of the equity premium," Bank of Finland Research Discussion Papers 6/2020, Bank of Finland.

    Cited by:

    1. Nippala, Veera & Sinivuori, Taina, 2023. "Forecasting private investment in Finland using Q-theory and frequency decomposition," BoF Economics Review 3/2023, Bank of Finland.

  5. Thomas A. Lubik & Christian Matthes & Fabio Verona, 2019. "Assessing U.S. Aggregate Fluctuations Across Time and Frequencies," Working Paper 19-6, Federal Reserve Bank of Richmond.

    Cited by:

    1. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    2. Faria, Gonçalo & Verona, Fabio, 2023. "Forecast combination in the frequency domain," Bank of Finland Research Discussion Papers 1/2023, Bank of Finland.
    3. Crowley, Patrick M. & Hughes Hallett, Andrew, 2019. "The evolution of US and UK GDP components in the time-frequency domain: A continuous wavelet analysis," Bank of Finland Research Discussion Papers 23/2019, Bank of Finland.
    4. Hwang, Sun Ho & Kim, Yun Jung, 2021. "International output synchronization at different frequencies," Economic Modelling, Elsevier, vol. 104(C).
    5. Kilponen, Juha & Verona, Fabio, 2022. "Investment dynamics and forecast: Mind the frequency," Finance Research Letters, Elsevier, vol. 49(C).

  6. Juha Kilponen & Fabio Verona, 2017. "Testing the Q theory of investment in the frequency domain," CEF.UP Working Papers 1701, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Faria, Gonçalo & Verona, Fabio, 2017. "Forecasting the equity risk premium with frequency-decomposed predictors," Bank of Finland Research Discussion Papers 1/2017, Bank of Finland.
    2. Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
    3. Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
    4. Nippala, Veera & Sinivuori, Taina, 2023. "Forecasting private investment in Finland using Q-theory and frequency decomposition," BoF Economics Review 3/2023, Bank of Finland.
    5. Sinem Celik Girgin & Thanasis Karlis & Hong-Oanh Nguyen, 2018. "A Critical Review of the Literature on Firm-Level Theories on Ship Investment," IJFS, MDPI, vol. 6(1), pages 1-19, January.
    6. Verona, Fabio, 2017. "Q, investment, and the financial cycle," Bank of Finland Research Discussion Papers 26/2017, Bank of Finland.

  7. Gonçalo Faria & Fabio Verona, 2016. "Forecasting stock market returns by summing the frequency-decomposed parts," Working Papers de Economia (Economics Working Papers) 05, Católica Porto Business School, Universidade Católica Portuguesa.

    Cited by:

    1. Zhang, Li & Wang, Lu & Wang, Xunxiao & Zhang, Yaojie & Pan, Zhigang, 2022. "How macro-variables drive crude oil volatility? Perspective from the STL-based iterated combination method," Resources Policy, Elsevier, vol. 77(C).
    2. Anwen Yin, 2022. "Does the kitchen‐sink model work forecasting the equity premium?," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 223-247, March.
    3. Faria, Gonçalo & Verona, Fabio, 2017. "Forecasting the equity risk premium with frequency-decomposed predictors," Bank of Finland Research Discussion Papers 1/2017, Bank of Finland.
    4. Bouri, Elie & Lucey, Brian & Roubaud, David, 2020. "The volatility surprise of leading cryptocurrencies: Transitory and permanent linkages," Finance Research Letters, Elsevier, vol. 33(C).
    5. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
    6. Martins, Manuel M.F. & Verona, Fabio, 2023. "Inflation dynamics in the frequency domain," Economics Letters, Elsevier, vol. 231(C).
    7. Faria, Gonçalo & Verona, Fabio, 2023. "Forecast combination in the frequency domain," Bank of Finland Research Discussion Papers 1/2023, Bank of Finland.
    8. Louis R. Piccotti, 2022. "Portfolio returns and consumption growth covariation in the frequency domain, real economic activity, and expected returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(3), pages 513-549, September.
    9. Kinkyo, Takuji, 2020. "Growing influences of the Chinese renminbi on Asian exchange rates: Evidence from a wavelet analysis of dynamic spillovers," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    10. Kinkyo, Takuji, 2022. "The intermediating role of the Chinese renminbi in Asian currency markets: Evidence from partial wavelet coherence," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    11. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    12. Syed Jawad Hussain Shahzad & Elie Bouri & Jose Arreola-Hernandez & David Roubaud & Stelios Bekiros, 2019. "Spillover across Eurozone credit market sectors and determinants," Applied Economics, Taylor & Francis Journals, vol. 51(59), pages 6333-6349, December.
    13. Robert Czudaj, 2019. "Crude oil futures trading and uncertainty," Chemnitz Economic Papers 027, Department of Economics, Chemnitz University of Technology, revised Jan 2019.
    14. Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
    15. Kinkyo, Takuji, 2020. "Volatility interdependence on foreign exchange markets: The contribution of cross-rates," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    16. Gao, Shang & Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie, 2023. "Forecasting stock market volatility: The sum of the parts is more than the whole," Finance Research Letters, Elsevier, vol. 55(PA).
    17. Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
    18. Kilponen, Juha & Verona, Fabio, 2016. "Testing the Q theory of investment in the frequency domain," Bank of Finland Research Discussion Papers 32/2016, Bank of Finland.
    19. Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.
    20. Takuji Kinkyo, 2022. "Hedging capabilities of Bitcoin for Asian currencies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1769-1784, April.
    21. Dai, Zhifeng & Zhu, Huan, 2021. "Indicator selection and stock return predictability," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    22. Dück, Alexander & Verona, Fabio, 2023. "Monetary policy rules: model uncertainty meets design limits," Bank of Finland Research Discussion Papers 12/2023, Bank of Finland.
    23. Nippala, Veera & Sinivuori, Taina, 2023. "Forecasting private investment in Finland using Q-theory and frequency decomposition," BoF Economics Review 3/2023, Bank of Finland.
    24. Martins, Manuel Mota Freitas & Verona, Fabio, 2021. "Inflation dynamics and forecast: Frequency matters," Bank of Finland Research Discussion Papers 8/2021, Bank of Finland.
    25. Manuel Monge & Luis A. Gil-Alana, 2020. "The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies," Risks, MDPI, vol. 8(4), pages 1-17, December.
    26. Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    27. Lubik, Thomas A. & Matthes, Christian & Verona, Fabio, 2019. "Assessing U.S. aggregate fluctuations across time and frequencies," Bank of Finland Research Discussion Papers 5/2019, Bank of Finland.
    28. Yin, Anwen, 2020. "Equity premium prediction and optimal portfolio decision with Bagging," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    29. Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
    30. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Discussion Papers 46/2020, Deutsche Bundesbank.
    31. Kilponen, Juha & Verona, Fabio, 2022. "Investment dynamics and forecast: Mind the frequency," Finance Research Letters, Elsevier, vol. 49(C).
    32. Zhifeng Dai & Huiting Zhou, 2020. "Prediction of Stock Returns: Sum-of-the-Parts Method and Economic Constraint Method," Sustainability, MDPI, vol. 12(2), pages 1-13, January.
    33. Lei Xu & Takuji Kinkyo & Shigeyuki Hamori, 2018. "Predicting Currency Crises: A Novel Approach Combining Random Forests and Wavelet Transform," JRFM, MDPI, vol. 11(4), pages 1-11, December.
    34. Zhifeng Dai & Jie Kang & Hua Yin, 2023. "Forecasting equity risk premium: A new method based on wavelet de‐noising," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4331-4352, October.
    35. Kim C. Raath & Katherine B. Ensor, 2023. "Wavelet-L2E Stochastic Volatility Models: an Application to the Water-Energy Nexus," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 150-176, May.
    36. Berger, Theo & Czudaj, Robert L., 2020. "Commodity futures and a wavelet-based risk assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    37. Dai, Zhifeng & Kang, Jie & Wen, Fenghua, 2021. "Predicting stock returns: A risk measurement perspective," International Review of Financial Analysis, Elsevier, vol. 74(C).
    38. Dai, Zhifeng & Zhu, Huan & Kang, Jie, 2021. "New technical indicators and stock returns predictability," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 127-142.
    39. Lin, Boqiang & Su, Tong, 2021. "Do China's macro-financial factors determine the Shanghai crude oil futures market?," International Review of Financial Analysis, Elsevier, vol. 78(C).

  8. Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.

    Cited by:

    1. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers 32/2017, Bank of Finland.
    2. Manuel M. F. Martins & Fabio Verona, 2020. "Forecasting Inflation with the New Keynesian Phillips Curve: Frequency Matters," CEF.UP Working Papers 2001, Universidade do Porto, Faculdade de Economia do Porto.
    3. Voutilainen, Ville, 2017. "Wavelet decomposition of the financial cycle: An early warning system for financial tsunamis," Bank of Finland Research Discussion Papers 11/2017, Bank of Finland.
    4. Faria, Gonçalo & Verona, Fabio, 2020. "Frequency-domain information for active portfolio management," Bank of Finland Research Discussion Papers 2/2020, Bank of Finland.

  9. Fabio Verona, 2016. "Time-frequency characterization of the U.S. financial cycle," CEF.UP Working Papers 1605, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2018. "Estimating the Taylor Rule in the Time-Frequency Domain," NIPE Working Papers 04/2018, NIPE - Universidade do Minho.
    2. Potjagailo, Galina & Wolters, Maik H, 2020. "Global financial cycles since 1880," Bank of England working papers 867, Bank of England.
    3. Schüler, Yves S., 2018. "On the cyclical properties of Hamilton's regression filter," Discussion Papers 03/2018, Deutsche Bundesbank.
    4. C. Colther & J. L. Rojo & R. Hornero, 2022. "A Wavelet Method for Detecting Turning Points in the Business Cycle," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 171-187, July.
    5. Harendra Behera & Saurabh Sharma, 2022. "Characterizing India’s Financial Cycle," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(2), pages 152-183, June.
    6. Schüler, Yves S. & Peltonen, Tuomas A. & Hiebert, Paul, 2017. "Coherent financial cycles for G-7 countries: Why extending credit can be an asset," ESRB Working Paper Series 43, European Systemic Risk Board.
    7. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2015. "Characterizing the Financial Cycle: Evidence from a Frequency Domain Analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113143, Verein für Socialpolitik / German Economic Association.
    8. Kauko, Karlo & Tölö, Eero, 2019. "Banking crisis prediction with differenced relative credit," BoF Economics Review 4/2019, Bank of Finland.
    9. Guido Bulligan & Lorenzo Burlon & Davide Delle Monache & Andrea Silvestrini, 2017. "Real and financial cycles: estimates using unobserved component models for the Italian economy," Questioni di Economia e Finanza (Occasional Papers) 382, Bank of Italy, Economic Research and International Relations Area.
    10. Yan, Chuanpeng & Huang, Kevin X.D., 2020. "Financial cycle and business cycle: An empirical analysis based on the data from the U.S," Economic Modelling, Elsevier, vol. 93(C), pages 693-701.
    11. Svatopluk Kapounek & Zuzana Kucerova, 2018. "Historical Decoupling in the EU: Evidence from Time-Frequency Analysis," MENDELU Working Papers in Business and Economics 2018-75, Mendel University in Brno, Faculty of Business and Economics.
    12. Rachida Hennani & John Theal, 2019. "Characterizing the Luxembourg financial cycle: Alternatives to statistical filters," BCL working papers 133, Central Bank of Luxembourg.
    13. Davor Kunovac & Martin Mandler & Michael Scharnagl, 2018. "Financial cycles in euro area economies: a cross-country perspective," Working Papers 55, The Croatian National Bank, Croatia.
    14. Schüler, Yves S., 2018. "Detrending and financial cycle facts across G7 countries: mind a spurious medium term!," Working Paper Series 2138, European Central Bank.
    15. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    16. Gallegati, Marco & Giri, Federico & Palestrini, Antonio, 2019. "DSGE model with financial frictions over subsets of business cycle frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 152-163.
    17. Patrick M. Crowley & Andrew Hughes Hallett, 2021. "The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 233-261, December.
    18. Hiebert, Paul & Jaccard, Ivan & Schüler, Yves, 2018. "Contrasting financial and business cycles: Stylized facts and candidate explanations," Journal of Financial Stability, Elsevier, vol. 38(C), pages 72-80.
    19. Dalia Mansour-Ibrahim, 2023. "Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 389-427, January.
    20. Verona, Fabio & Martins, Manuel M.F. & Drumond, Inês, 2017. "Financial shocks, financial stability, and optimal Taylor rules," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 187-207.

  10. Fabio Verona & Manuel M. F. Martins & Inês Drumond, 2014. "Financial Shocks and Optimal Monetary Policy Rules," CEF.UP Working Papers 1402, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Krug, Sebastian, 2017. "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macro-financial stability?," Economics Discussion Papers 2017-85, Kiel Institute for the World Economy (IfW Kiel).
    2. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    3. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    4. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    5. Phuc Huynh & Trang Nguyen & Thanh Duong & Duc Pham, 2017. "Leaning against the Wind Policies on Vietnam’s Economy with DSGE Model," Economies, MDPI, vol. 5(1), pages 1-18, January.
    6. Brancaccio, Emiliano & Califano, Andrea & Lopreite, Milena & Moneta, Alessio, 2020. "Nonperforming loans and competing rules of monetary policy: A statistical identification approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 127-136.
    7. Krug, Sebastian, 2018. "The interaction between monetary and macroprudential policy: Should central banks 'lean against the wind' to foster macro-financial stability?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-69.

  11. Verona, Fabio & Martins, Manuel M. F. & Drumond, Inês, 2014. "Financial shocks, financial stability, and optimal Taylor rules," Bank of Finland Research Discussion Papers 21/2014, Bank of Finland.

    Cited by:

    1. Melchisedek Joslem Ngambou Djatche, 2021. "Monetary policy, prudential policy and bank's risk-taking: a literature review," Post-Print halshs-03419263, HAL.
    2. Soyoung Kim & Aaron Mehrotra, 2019. "Examining macroprudential policy and its macroeconomic effects - some new evidence," BIS Working Papers 825, Bank for International Settlements.
    3. Jelena Zivanovic, 2021. "An Optimal Macroprudential Policy Mix for Segmented Credit Markets," Staff Working Papers 21-31, Bank of Canada.
    4. Kozlovtceva, Irina & Ponomarenko, Alexey & Sinyakov, Andrey & Tatarintsev, Stas, 2020. "A case for leaning against the wind in a commodity-exporting economy," International Economics, Elsevier, vol. 164(C), pages 86-114.
    5. Petre Caraiani & Adrian Cantemir Călin, 2020. "Housing markets, monetary policy, and the international co‐movement of housing bubbles," Review of International Economics, Wiley Blackwell, vol. 28(2), pages 365-375, May.
    6. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2023. "Systemically important banks - emerging risk and policy responses: An agent-based investigation," LEM Papers Series 2023/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Donato Masciandaro, 2023. "How Elastic and Predictable Money Should Be: Flexible Monetary Policy Rules from the Great Moderation to the New Normal Times (1993-2023)," BAFFI CAREFIN Working Papers 23196, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    9. Grégory Levieuge, 2018. "La politique monétaire doit-elle être utilisée à des fins de stabilité financière ?," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 63-104.
    10. Agénor, Pierre-Richard & Jackson, Timothy P., 2022. "Monetary and macroprudential policy coordination with biased preferences," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    11. Fang‐Shuo Chang & Shiu‐Sheng Chen & Po‐Yuan Wang, 2020. "Politics and the UK's monetary policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(5), pages 486-522, November.
    12. Kantur, Zeynep & Özcan, Gülserim, 2019. "Optimal Policy Implications of Financial Uncertainty," MPRA Paper 95920, University Library of Munich, Germany.
    13. Eleftheriou, Maria & Kouretas, Georgios P., 2023. "Monetary policy rules and inflation control in the US," Economic Modelling, Elsevier, vol. 119(C).
    14. Irina Kozlovtceva & Alexey Ponomarenko & Andrey Sinyakov & Stas Tatarintsev, 2019. "Financial Stability Implications of Policy Mix in a Small Open Commodity-Exporting Economy," Bank of Russia Working Paper Series wps42, Bank of Russia.
    15. Nückles, Marc, 2020. "Interest rate policy and interbank market breakdown," Economic Modelling, Elsevier, vol. 91(C), pages 779-789.
    16. Guangling Liu & Thabang Molise, 2020. "The Optimal Monetary and Macroprudential Policies for the South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 88(3), pages 368-404, September.

  12. Verona, Fabio & Martins, Manuel M. F. & Drumond, Inês, 2013. "(Un)anticipated monetary policy in a DSGE model with a shadow banking system," Bank of Finland Research Discussion Papers 4/2013, Bank of Finland.

    Cited by:

    1. Wieland, Volker & Wolters, Maik, 2014. "Is there a threat of self-reinforcing deflation in the Euro area? A view through the lens of the Phillips curve," IMFS Working Paper Series 81, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    2. Chunping Liu & Zhirong Ou, 2017. "What determines China's housing price dynamics? New evidence from a DSGE-VAR," NBS Discussion Papers in Economics 2017/04, Economics, Nottingham Business School, Nottingham Trent University.
    3. Nigel McClung, 2021. "The Power of Forward Guidance and the Fiscal Theory of the Price Level," International Journal of Central Banking, International Journal of Central Banking, vol. 17(71), pages 1-57, December.
    4. sheunesu zhou, 2020. "Shadow Banking, Bank Liquidity and Monetary Policy Shocks in Emerging Countries: A Panel VAR Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 11(6), pages 46-59.
    5. Funke, Michael & Mihaylovski, Petar & Zhu, Haibin, 2015. "Monetary policy transmission in China: A DSGE model with parallel shadow banking and interest rate control," BOFIT Discussion Papers 9/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    6. Philipp Kirchner & Benjamin Schwanebeck, 2017. "Optimal Unconventional Monetary Policy in the Face of Shadow Banking," MAGKS Papers on Economics 201725, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    7. Valentin Jouvanceau, 2016. "The Portfolio Rebalancing Channel of Quantitative Easing," Working Papers halshs-01349870, HAL.
    8. Burgert, Matthias & Schmidt, Sebastian, 2013. "Dealing with a liquidity trap when government debt matters: optimal time-consistent monetary and fiscal policy," Working Paper Series 1622, European Central Bank.
    9. Jelena Zivanovic, 2021. "An Optimal Macroprudential Policy Mix for Segmented Credit Markets," Staff Working Papers 21-31, Bank of Canada.
    10. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
    11. Roland Meeks & Benjamin Nelson & Piergiorgio Alessandri, 2013. "Shadow banks and macroeconomic instability," CAMA Working Papers 2013-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    12. Federico Lubello & Abdelaziz Rouabah, 2019. "Capturing macroprudential regulation effectiveness: a DSGE approach with shadow intermediaries," Revista de Estabilidad Financiera, Banco de España, issue NOV.
    13. Fabio Verona & Juha Kilponen & Seppo Orjasniemi & Antti Ripatti, 2015. "Business Cycle Dynamics and Macroprudential Policy Through the Lens of the Aino Model - A Micro-Founded Small Open Economy DSGE Mo," EcoMod2015 8441, EcoMod.
    14. Kenichi Tamegawa, 2014. "A closed-form analysis of anticipated monetary policy," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 15(2), pages 155-161.
    15. Patrick Fève & Alban Moura & Olivier Pierrard, 2019. "Shadow banking and the Great Recession: Evidence from an estimated DSGE model," BCL working papers 125, Central Bank of Luxembourg.
    16. Federico Lubello & Abdelaziz Rouabah, 2017. "Capturing macroprudential regulation effectiveness: A DSGE approach with shadow intermediaries," BCL working papers 114, Central Bank of Luxembourg.
    17. Gebauer, Stefan & Mazelis, Falk, 2023. "Macroprudential regulation and leakage to the shadow banking sector," European Economic Review, Elsevier, vol. 154(C).
    18. Fève, Patrick & Moura, Alban & Pierrard, Olivier, 2017. "Financial Regulation and Shadow Banking: A Small-Scale DSGE Perspective," TSE Working Papers 17-829, Toulouse School of Economics (TSE), revised Aug 2018.
    19. John Cogan & John Taylor & Volker Wieland & Maik Wolters, 2013. "Fiscal Consolidation Strategy: An Update for the Budget Reform Proposal of March 2013," Discussion Papers 12-033, Stanford Institute for Economic Policy Research.
    20. Ugochi Emenogu & Brian Peterson, 2022. "Unregulated Lending, Mortgage Regulations and Monetary Policy," Staff Working Papers 22-28, Bank of Canada.
    21. di Iasio, Giovanni & Kaufmann, Christoph & Wicknig, Florian, 2022. "Macroprudential regulation of investment funds," Working Paper Series 2695, European Central Bank.
    22. Dück, Alexander & Verona, Fabio, 2023. "Monetary policy rules: model uncertainty meets design limits," Bank of Finland Research Discussion Papers 12/2023, Bank of Finland.
    23. Cappiello, Lorenzo & Holm-Hadulla, Fédéric & Maddaloni, Angela & Mayordomo, Sergio & Unger, Robert & Arts, Laura & Meme, Nicolas & Asimakopoulos, Ioannis & Migiakis, Petros & Behrens, Caterina & Moura, 2021. "Non-bank financial intermediation in the euro area: implications for monetary policy transmission and key vulnerabilities," Occasional Paper Series 270, European Central Bank.
    24. Jelena Zivanovic, 2019. "Corporate Debt Composition and Business Cycles," Staff Working Papers 19-5, Bank of Canada.
    25. Kirchner Philipp, 2020. "On Shadow Banking and Financial Frictions in DSGE Modeling," Review of Economics, De Gruyter, vol. 71(2), pages 101-133, August.
    26. Lubello, Federico & Rouabah, Abdelaziz, 2024. "Securitization, shadow banking system and macroprudential regulation: A DSGE approach," Economic Modelling, Elsevier, vol. 131(C).
    27. Chang, Chun & Liu, Zheng & Spiegel, Mark M. & Zhang, Jingyi, 2019. "Reserve requirements and optimal Chinese stabilization policy," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 33-51.
    28. Falk Mazelis, 2014. "Monetary Policy Effects on Financial Intermediation via the Regulated and the Shadow Banking Systems," SFB 649 Discussion Papers SFB649DP2014-056, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    29. Kilponen, Juha & Orjasniemi, Seppo & Ripatti, Antti & Verona, Fabio, 2016. "The Aino 2.0 model," Bank of Finland Research Discussion Papers 16/2016, Bank of Finland.
    30. Chunping Liu & Zhirong Ou, 2021. "What determines China's housing price dynamics? New evidence from a DSGE‐VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3269-3305, July.
    31. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2013. "Expectation-driven cycles in the housing market: Evidence from survey data," Journal of Financial Stability, Elsevier, vol. 9(4), pages 518-529.
    32. Philipp Kirchner & Benjamin Schwanebeck, 2020. "Shadow banking and the design of macroprudential policy in a monetary union," MAGKS Papers on Economics 202024, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    33. Federico Lubello & Abdelaziz Rouabah, 2019. "Capturing macroprudential regulation effectiveness: a DSGE approach with shadow intermediaries," Financial Stability Review, Banco de España, issue NOV.
    34. Fabio Verona & Manuel M. F. Martins & Inês Drumond, 2014. "Financial Shocks and Optimal Monetary Policy Rules," CEF.UP Working Papers 1402, Universidade do Porto, Faculdade de Economia do Porto.
    35. Mazelis, Falk, 2016. "The Role of Shadow Banking in the Monetary Transmission Mechanism and the Business Cycle," VfS Annual Conference 2016 (Augsburg): Demographic Change 145763, Verein für Socialpolitik / German Economic Association.
    36. Crowley, Patrick M. & Garcia, Enrique & Chee-Heong, Quah, 2013. "Is Europe growing together or growing apart?," Bank of Finland Research Discussion Papers 33/2013, Bank of Finland.
    37. Darracq Pariès, Matthieu & Notarpietro, Alessandro & Kilponen, Juha & Papadopoulou, Niki & Zimic, Srečko & Aldama, Pierre & Langenus, Geert & Alvarez, Luis Julian & Lemoine, Matthieu & Angelini, Elena, 2021. "Review of macroeconomic modelling in the Eurosystem: current practices and scope for improvement," Occasional Paper Series 267, European Central Bank.
    38. Gebauer Stefan, 2021. "Welfare-Based Optimal Macroprudential Policy with Shadow Banks," Working papers 817, Banque de France.
    39. Garcia-Barragan, Fernando & Liu, Guangling, 2021. "Great recession, exports crunch, and China's fiscal stimulus in a global zero lower bound environment," Journal of Asian Economics, Elsevier, vol. 75(C).
    40. Hélène Desgagnés, 2017. "The Rise of Non-Regulated Financial Intermediaries in the Housing Sector and its Macroeconomic Implications," Staff Working Papers 17-36, Bank of Canada.
    41. Philipp Kirchner, 2020. "On shadow banking and fiÂ…nancial frictions in DSGE modeling," MAGKS Papers on Economics 202019, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    42. An, Ping & Yu, Mengxuan, 2018. "Neglected part of shadow banking in China," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 211-236.
    43. Silvo, Aino & Verona, Fabio, 2020. "The Aino 3.0 model," Bank of Finland Research Discussion Papers 9/2020, Bank of Finland.
    44. Verona, Fabio & Martins, Manuel M.F. & Drumond, Inês, 2017. "Financial shocks, financial stability, and optimal Taylor rules," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 187-207.

  13. Verona, Fabio, 2013. "Investment dynamics with information costs," Bank of Finland Research Discussion Papers 18/2013, Bank of Finland.

    Cited by:

    1. Isaac Baley & Andrés Blanco, 2022. "The long-run effects of corporate tax reforms," Economics Working Papers 1813, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Verona, Fabio, 2014. "Pervasive inattentiveness," Economics Letters, Elsevier, vol. 125(2), pages 287-290.
    3. Isaac Baley & Andrés Blanco, 2019. "Aggregate dynamics in lumpy economies," Economics Working Papers 1670, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Verona, Fabio, 2013. "Lumpy investment in sticky information general equilibrium," Bank of Finland Research Discussion Papers 16/2013, Bank of Finland.
    5. Bellalah, Mondher & Bradford, Marc & Zhang, Detao, 2016. "A general theory of corporate international investment under incomplete information, short sales and taxes," Economic Modelling, Elsevier, vol. 58(C), pages 615-626.
    6. Mondher Bellalah & Detao Zhang, 2019. "An intertemporal capital asset pricing model under incomplete information and short sales," Annals of Operations Research, Springer, vol. 281(1), pages 143-159, October.
    7. Mondher Bellalah, 2018. "On information costs, short sales and the pricing of extendible options, steps and Parisian options," Annals of Operations Research, Springer, vol. 262(2), pages 361-387, March.
    8. Dionisis Th Philippas & Catalin Dragomirescu-Gaina & Stéphane Goutte & Duc Khuong Nguyen, 2021. "Investors’ attention and information losses under market stress," Post-Print hal-03434918, HAL.
    9. Bellalah, Mondher, 2016. "Shadow costs of incomplete information and short sales in the valuation of the firm and its assets," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 406-419.
    10. Kilponen, Juha & Verona, Fabio, 2016. "Testing the Q theory of investment in the frequency domain," Bank of Finland Research Discussion Papers 32/2016, Bank of Finland.
    11. Lecca, Patrizio & Persyn, Damiaan & Sakkas, Stelios, 2023. "Capital-skill complementarity and regional inequality: A spatial general equilibrium analysis," Regional Science and Urban Economics, Elsevier, vol. 102(C).
    12. Bellalah, Mondher & Zhang, Detao, 2017. "A model for international capital markets closure in an economy with incomplete markets and short sales," Economic Modelling, Elsevier, vol. 67(C), pages 316-324.
    13. Peter Zorn, 2020. "Investment under Rational Inattention: Evidence from US Sectoral Data," CESifo Working Paper Series 8436, CESifo.
    14. Isaac Baley & Andrés Blanco, 2022. "The Macroeconomics of Partial Irreversibility," Working Papers 1312, Barcelona School of Economics.
    15. Mondher bellalah, 2018. "Pricing derivatives in the presence of shadow costs of incomplete information and short sales," Annals of Operations Research, Springer, vol. 262(2), pages 389-411, March.

  14. Verona, Fabio & Wolters, Maik H., 2012. "Sticky Information Models in Dynare," Dynare Working Papers 11, CEPREMAP, revised Apr 2013.

    Cited by:

    1. Verona, Fabio, 2014. "Pervasive inattentiveness," Economics Letters, Elsevier, vol. 125(2), pages 287-290.
    2. Michael T. Kiley, 2014. "Policy Paradoxes in the New Keynesian Model," Finance and Economics Discussion Series 2014-29, Board of Governors of the Federal Reserve System (U.S.).
    3. Verona, Fabio, 2013. "Lumpy investment in sticky information general equilibrium," Bank of Finland Research Discussion Papers 16/2013, Bank of Finland.
    4. Chattopadhyay, Siddhartha & Agrawal, Manasi, 2015. "An Algorithm for Solving Simple Sticky Information New Keynesian DSGE Model," MPRA Paper 66074, University Library of Munich, Germany.
    5. Eijffinger, S.C.W. & Grajales Olarte, A. & Uras, R.B., 2015. "Heterogeneity in Wage Setting Behavior in a New-Keynesian Model," Discussion Paper 2015-024, Tilburg University, Center for Economic Research.

  15. Fabio Verona, 2011. "Lumpy investment in sticky information general equilibrium," CEF.UP Working Papers 1102, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Wieland, Volker & Wolters, Maik, 2014. "Is there a threat of self-reinforcing deflation in the Euro area? A view through the lens of the Phillips curve," IMFS Working Paper Series 81, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    2. Verona, Fabio, 2014. "Pervasive inattentiveness," Economics Letters, Elsevier, vol. 125(2), pages 287-290.
    3. Verona, Fabio, 2013. "Lumpy investment in sticky information general equilibrium," Bank of Finland Research Discussion Papers 16/2013, Bank of Finland.
    4. Burgert, Matthias & Schmidt, Sebastian, 2013. "Dealing with a liquidity trap when government debt matters: optimal time-consistent monetary and fiscal policy," Working Paper Series 1622, European Central Bank.
    5. Verona, Fabio & Wolters, Maik H., 2013. "Sticky information models in Dynare," Bank of Finland Research Discussion Papers 5/2013, Bank of Finland.
    6. John Cogan & John Taylor & Volker Wieland & Maik Wolters, 2013. "Fiscal Consolidation Strategy: An Update for the Budget Reform Proposal of March 2013," Discussion Papers 12-033, Stanford Institute for Economic Policy Research.
    7. Verona, Fabio, 2013. "Investment dynamics with information costs," Bank of Finland Research Discussion Papers 18/2013, Bank of Finland.

  16. Fabio Verona & Manuel M. F. Martins & Inês Drumond, 2011. "Monetary policy shocks in a DSGE model with a shadow banking system," CEF.UP Working Papers 1101, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Copaciu, Mihai & Nalban, Valeriu & Bulete, Cristian, 2015. "R.E.M. 2.0, An estimated DSGE model for Romania," Dynare Working Papers 48, CEPREMAP.
    2. Huiyi Zhang & Richard Skolnik & Yue Han & Jinpei Wu, 2020. "The Impacts of China's Shadow Banking Credit Creation on the Effectiveness of Monetary Policy," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 33-46, October.
    3. Thomas Lejeune & Raf Wouters, 2019. "A macroeconomic model with heterogeneous and financially-constrained intermediaries," Working Paper Research 367, National Bank of Belgium.

Articles

  1. Kilponen, Juha & Verona, Fabio, 2022. "Investment dynamics and forecast: Mind the frequency," Finance Research Letters, Elsevier, vol. 49(C).

    Cited by:

    1. Dück, Alexander & Verona, Fabio, 2023. "Monetary policy rules: model uncertainty meets design limits," Bank of Finland Research Discussion Papers 12/2023, Bank of Finland.
    2. Dück, Alexander & Verona, Fabio, 2023. "Robust frequency-based monetary policy rules," IMFS Working Paper Series 180, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).

  2. Martins, Manuel M.F. & Verona, Fabio, 2021. "Bond vs. bank finance and the Great Recession," Finance Research Letters, Elsevier, vol. 39(C).

    Cited by:

    1. Peng, Wei & Xiong, Langyu, 2022. "Managing financing costs and fostering green transition: The role of green financial policy in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 820-836.

  3. Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
    See citations under working paper version above.
  4. Fabio Verona, 2020. "Investment, Tobin's Q, and Cash Flow Across Time and Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 331-346, April.

    Cited by:

    1. Mohammad Al-Shboul & Aktham Maghyereh, 2023. "Did real economic uncertainty drive risk connectedness in the oil–stock nexus during the COVID-19 outbreak? A partial wavelet coherence analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-23, December.
    2. Manuel M. F. Martins & Fabio Verona, 2020. "Forecasting Inflation with the New Keynesian Phillips Curve: Frequency Matters," CEF.UP Working Papers 2001, Universidade do Porto, Faculdade de Economia do Porto.
    3. Ivan Mendieta-Muñoz, 2024. "Time-varying investment dynamics in the USA," Working Paper Series, Department of Economics, University of Utah 2024_01, University of Utah, Department of Economics.
    4. Martins, Manuel Mota Freitas & Verona, Fabio, 2021. "Inflation dynamics and forecast: Frequency matters," Bank of Finland Research Discussion Papers 8/2021, Bank of Finland.
    5. Bilgili, Faik & Koçak, Emrah & Kuşkaya, Sevda & Bulut, Ümit, 2020. "Estimation of the co-movements between biofuel production and food prices: A wavelet-based analysis," Energy, Elsevier, vol. 213(C).
    6. Wu, Xi & Wang, Yudong & Tong, Xinle, 2021. "Cash holdings and oil price uncertainty exposures," Energy Economics, Elsevier, vol. 99(C).
    7. Kilponen, Juha & Verona, Fabio, 2022. "Investment dynamics and forecast: Mind the frequency," Finance Research Letters, Elsevier, vol. 49(C).

  5. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).

    Cited by:

    1. Umar, Zaghum & Yousaf, Imran & Gubareva, Mariya & Vo, Xuan Vinh, 2022. "Spillover and risk transmission between the term structure of the US interest rates and Islamic equities," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    2. Lansing, Kevin J. & LeRoy, Stephen F. & Ma, Jun, 2022. "Examining the sources of excess return predictability: Stochastic volatility or market inefficiency?," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 50-72.
    3. Yang, Jianlei & Yang, Chunpeng, 2021. "The impact of mixed-frequency geopolitical risk on stock market returns," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 226-240.
    4. Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
    5. Bansal, Naresh & Stivers, Chris, 2022. "Bond risk’s role in the equity risk-return tradeoff," Journal of Financial Markets, Elsevier, vol. 60(C).
    6. Apergis, Nicholas, 2022. "Overconfidence and US stock market returns," Finance Research Letters, Elsevier, vol. 45(C).
    7. Dück, Alexander & Verona, Fabio, 2023. "Monetary policy rules: model uncertainty meets design limits," Bank of Finland Research Discussion Papers 12/2023, Bank of Finland.
    8. Ahmed, Walid M.A. & Sleem, Mohamed A.E., 2023. "Short- and long-run determinants of the price behavior of US clean energy stocks: A dynamic ARDL simulations approach," Energy Economics, Elsevier, vol. 124(C).
    9. Kilponen, Juha & Verona, Fabio, 2022. "Investment dynamics and forecast: Mind the frequency," Finance Research Letters, Elsevier, vol. 49(C).

  6. Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
    See citations under working paper version above.
  7. Verona, Fabio & Martins, Manuel M.F. & Drumond, Inês, 2017. "Financial shocks, financial stability, and optimal Taylor rules," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 187-207.
    See citations under working paper version above.
  8. Verona, Fabio, 2016. "Time–frequency characterization of the U.S. financial cycle," Economics Letters, Elsevier, vol. 144(C), pages 75-79.
    See citations under working paper version above.
  9. Fabio Verona & Maik Wolters, 2014. "Sticky Information Models in Dynare," Computational Economics, Springer;Society for Computational Economics, vol. 43(3), pages 357-370, March.
    See citations under working paper version above.
  10. Verona, Fabio, 2014. "Pervasive inattentiveness," Economics Letters, Elsevier, vol. 125(2), pages 287-290.

    Cited by:

    1. Carlstrom, Charles & Fuerst, Timothy & Paustian, Matthias, 2012. "Inflation and output in New Keynesian models with a transient interest rate peg," Bank of England working papers 459, Bank of England.

  11. Fabio Verona, 2014. "Investment Dynamics with Information Costs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(8), pages 1627-1656, December.
    See citations under working paper version above.
  12. F. Verona & M. M. F. Martins & I. Drumond, 2013. "(Un)anticipated Monetary Policy in a DSGE Model with a Shadow Banking System," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 78-124, September.
    See citations under working paper version above.
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