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Robert Litterman

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. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.

    Mentioned in:

    1. > Econometrics > Forecasting
    2. > Econometrics > Time Series Models > VAR Models
    3. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  2. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  3. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Econometrics > Forecasting
    2. > Econometrics > Time Series Models > VAR Models
    3. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)

Working papers

  1. Kent D. Daniel & Robert B. Litterman & Gernot Wagner, 2016. "Applying Asset Pricing Theory to Calibrate the Price of Climate Risk," NBER Working Papers 22795, National Bureau of Economic Research, Inc.

    Cited by:

    1. Rick Van der Ploeg & Aart de Zeeuw, 2018. "Pricing Carbon and Adjusting Capital to Fend off Climate Catastrophes," OxCarre Working Papers 207, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    2. Mark C. Freeman & Gernot Wagner & Richard J. Zeckhauser, 2015. "Climate Sensitivity Uncertainty: When is Good News Bad?," NBER Working Papers 20900, National Bureau of Economic Research, Inc.
    3. Dietz, Simon & Gollier, Christian & Kessler, Louise, 2015. "The climate beta," TSE Working Papers 15-608, Toulouse School of Economics (TSE).
    4. Juan Moreno-Cruz & Gernot Wagner & David W. Keith, 2018. "An Economic Anatomy of Optimal Climate Policy," CESifo Working Paper Series 7059, CESifo.
    5. William Brock & Anastasios Xepapadeas, 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," DEOS Working Papers 1508, Athens University of Economics and Business.
    6. Zirek, Duygu & Unsal, Omer, 2023. "Green bonds: Do investors benefit from third-party certification?," Global Finance Journal, Elsevier, vol. 58(C).
    7. Garbarino, Nicola & Guin, Benjamin, 2021. "High water, no marks? Biased lending after extreme weather," Journal of Financial Stability, Elsevier, vol. 54(C).
    8. Christoph Hambel & Holger Kraft & Eduardo Schwartz, 2015. "Optimal Carbon Abatement in a Stochastic Equilibrium Model with Climate Change," NBER Working Papers 21044, National Bureau of Economic Research, Inc.
    9. Hambel, Christoph & Kraft, Holger & Schwartz, Eduardo S., 2019. "Optimal carbon abatement in a stochastic equilibrium model with climate change," SAFE Working Paper Series 92, Leibniz Institute for Financial Research SAFE, revised 2019.
    10. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2024. "Carbon Dioxide as a Risky Asset," Climatic Change, Springer, vol. 177(5), pages 1-27, May.
    11. Harrison Hong & Frank Weikai Li & Jiangmin Xu, 2016. "Climate Risks and Market Efficiency," NBER Working Papers 22890, National Bureau of Economic Research, Inc.
    12. Noluthando Mngadi & Hossana Twinomurinzi, 2023. "Quantifying Causality between Climate Change and Credit Risk: A Bibliometric Study and Research Agenda," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    13. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2023. "Carbon Dioxide as a Risky Asset," CESifo Working Paper Series 10278, CESifo.
    14. Davide Benedetti & Enrico Biffis & Fotis Chatzimichalakis & Luciano Lilloy Fedele & Ian Simm, 2021. "Climate change investment risk: optimal portfolio construction ahead of the transition to a lower-carbon economy," Annals of Operations Research, Springer, vol. 299(1), pages 847-871, April.
    15. Lucia Alessi & Elisa, Ossola & Roberto Panzica, 2019. "The Greenium matters: greenhouse gas emissions, environmental disclosures, and stock prices," Working Papers 418, University of Milano-Bicocca, Department of Economics, revised Apr 2020.
    16. Williams III, Roberton C., 2016. "Environmental Taxation," RFF Working Paper Series dp-16-24, Resources for the Future.
    17. Huang, Bihong & Punzi, Maria Teresa & Wu, Yu, 2019. "Do Banks Price Environmental Risk? Evidence from a Quasi Natural Experiment in the People’s Republic of China," ADBI Working Papers 974, Asian Development Bank Institute.
    18. Venturini, Alessio, 2022. "Climate change, risk factors and stock returns: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 79(C).
    19. Lin, Boqiang & Wu, Nan, 2023. "Climate risk disclosure and stock price crash risk: The case of China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 21-34.
    20. Inessa Benchora & Sébastien Galanti, 2024. "Verified carbon emissions and stock returns in the EU Emissions Trading System," Post-Print hal-04797734, HAL.
    21. Hjort, Ingrid, 2016. "Potential Climate Risks in Financial Markets: A Literature Overview," Memorandum 01/2016, Oslo University, Department of Economics.
    22. Alessi, Lucia & Ossola, Elisa & Panzica, Roberto, 2021. "What greenium matters in the stock market? The role of greenhouse gas emissions and environmental disclosures," Journal of Financial Stability, Elsevier, vol. 54(C).
    23. Wu, Nan & Zhang, Zuopeng & Lin, Boqiang, 2024. "Responses of financial stress and monetary policy to global warming: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 92(C).
    24. Huang, Bihong & Punzi, Maria Teresa & Wu, Yu, 2021. "Do banks price environmental transition risks? Evidence from a quasi-natural experiment in China," Journal of Corporate Finance, Elsevier, vol. 69(C).
    25. Meissner, Thomas & Pfeiffer, Philipp, 2022. "Measuring preferences over the temporal resolution of consumption uncertainty," Journal of Economic Theory, Elsevier, vol. 200(C).
    26. Kim, Incheol & Lee, Suin & Ryou, Jiwoo, 2024. "Does climate risk influence analyst forecast accuracy?," Journal of Financial Stability, Elsevier, vol. 75(C).
    27. Birindelli, Giuliana & Miazza, Aline & Paimanova, Viktoriia & Palea, Vera, 2023. "Just “blah blah blah”? Stock market expectations and reactions to COP26," International Review of Financial Analysis, Elsevier, vol. 88(C).
    28. Zhang, Zehua & Zhao, Ran, 2022. "Carbon emission and credit default swaps," Finance Research Letters, Elsevier, vol. 50(C).
    29. Stoerk, Thomas & Wagner, Gernot & Ward, Robert E. T., 2018. "Recommendations for improving the treatment of risk and uncertainty in economic estimates of climate impacts in the Sixth Intergovernmental Panel on Climate Change Assessment Report," LSE Research Online Documents on Economics 87957, London School of Economics and Political Science, LSE Library.
    30. Ravi Jagannathan & Ashwin Ravikumar & Marco Sammon, 2017. "Environmental, Social, and Governance Criteria: Why Investors are Paying Attention," NBER Working Papers 24063, National Bureau of Economic Research, Inc.
    31. Hong, Harrison & Li, Frank Weikai & Xu, Jiangmin, 2019. "Climate risks and market efficiency," Journal of Econometrics, Elsevier, vol. 208(1), pages 265-281.

  2. Robert B. Litterman, 1986. "The limits of counter-cyclical monetary policy: an analysis based on optimal control theory and vector autoregressions," Working Papers 297, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.
    2. Robert Marti, 1995. "Spécification des préférences implicites en matière de politique économique française, 1981-1991," Économie et Prévision, Programme National Persée, vol. 119(3), pages 1-11.

  3. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. William A. Barnett & Unja Chae & John W. Keating, 2011. "The Discounted Economic Stock of Money with VAR Forecasting," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, chapter 4, pages 107-150, World Scientific Publishing Co. Pte. Ltd..
    2. Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis: this time was different," SciencePo Working papers Main hal-03403269, HAL.
    3. Kim, Chang-Jin & Morley, James C. & Nelson, Charles R., 2001. "Does an intertemporal tradeoff between risk and return explain mean reversion in stock prices?," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 403-426, September.
    4. Anton Muscatelli & Patrizio Tirelli & Carmine Trecroci, 2001. "Monetary and Fiscal Policy Interactions over the Cycle: Some Empirical Evidence," Working Papers 2002_13, Business School - Economics, University of Glasgow, revised Oct 2002.
    5. Gary Koop, 2011. "Forecasting with Medium and Large Bayesian VARs," Working Papers 1117, University of Strathclyde Business School, Department of Economics.
    6. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    7. Frank Schorfheide & Marco Del Negro, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," 2007 Meeting Papers 283, Society for Economic Dynamics.
    8. Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Salim Chishti & M. Aynul Hasan, 1993. "What Determines the Behaviour of Real Exchange Rate in Pakistan?," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 32(4), pages 1015-1029.
    10. Rangan Gupta & Stephen M. Miller, 2009. "“Ripple Effects” and Forecasting Home Prices In Los Angeles, Las Vegas, and Phoenix," Working Papers 200901, University of Pretoria, Department of Economics.
    11. Balcilar, Mehmet & Hammoudeh, Shawkat & Toparli, Elif Akay, 2018. "On the risk spillover across the oil market, stock market, and the oil related CDS sectors: A volatility impulse response approach," Energy Economics, Elsevier, vol. 74(C), pages 813-827.
    12. Antonio Ciccone & Marek Jarocinski, 2010. "Determinants of Economic Growth: Will Data Tell?," Working Papers 1009, BBVA Bank, Economic Research Department.
    13. Ekaterina Pirozhkova & Nicola Viegi, 2024. "The bank lending channel of monetary policy transmission in South Africa," Working Papers 11072, South African Reserve Bank.
    14. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    15. Hwee Kwan Chow & Keen Meng Choy, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Working Papers 16-2004, Singapore Management University, School of Economics.
    16. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non‐stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, September.
    17. Anderson, Evan W. & McGrattan, Ellen R. & Hansen, Lars Peter & Sargent, Thomas J., 1996. "Mechanics of forming and estimating dynamic linear economies," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 4, pages 171-252, Elsevier.
    18. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    19. Raffaella Giacomini, 2012. "Incorporating theoretical restrictions into forecasting by projection methods," 2012 Meeting Papers 548, Society for Economic Dynamics.
    20. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    21. Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," CEPR Discussion Papers 7446, C.E.P.R. Discussion Papers.
    22. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    23. Takeshi Kimura & Hiroshi Kobayashi & Jun Muranaga & Hiroshi Ugai, 2003. "The effect of the increase in the monetary base of Japan's economy at zero interest rates: an empirical analysis," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy in a changing environment, volume 19, pages 276-312, Bank for International Settlements.
    24. Mehmet Balcilar & Nico Katzke & Rangan Gupta, 2015. "Do Precious Metal Prices Help in Forecasting South African Inflation?," Working Papers 03/2015, Stellenbosch University, Department of Economics.
    25. Andrea Bonilla Bolanos, 2014. "External Vulnerabilities And Economic Integration: Is The Union Of South American Nations A Promising Project?," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(2), pages 97-131, June.
    26. William T. Gavin & Athena T. Theodorou, 2004. "A common model approach to macroeconomics: using panel data to reduce sampling error," Working Papers 2003-045, Federal Reserve Bank of St. Louis.
    27. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
    28. Francis X. Diebold & Canlin Li, 2002. "Forecasting the Term Structure of Government Bond Yields," Center for Financial Institutions Working Papers 02-34, Wharton School Center for Financial Institutions, University of Pennsylvania.
    29. Alvarez, Luis J. & Delrieu, Juan C. & Jareño, Javier, 1997. "Restricted forecasts and economic target monitoring: An application to the Spanish Consumer Price Index," Journal of Policy Modeling, Elsevier, vol. 19(3), pages 333-349, June.
    30. Summers, Peter M., 2001. "Forecasting Australia's economic performance during the Asian crisis," International Journal of Forecasting, Elsevier, vol. 17(3), pages 499-515.
    31. Gary Koop & Dimitris Korobilis, 2012. "Large Time-Varying Parameter VARs," Working Paper series 11_12, Rimini Centre for Economic Analysis.
    32. Luigi Paciello, 2011. "Does Inflation Adjust Faster to Aggregate Technology Shocks than to Monetary Policy Shocks?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(8), pages 1663-1684, December.
    33. Hany Guirguis & Christos Giannikos & Randy Anderson, 2004. "The US Housing Market: Asset Pricing Forecasts Using Time Varying Coefficients," The Journal of Real Estate Finance and Economics, Springer, vol. 30(1), pages 33-53, October.
    34. Alessandra Del Boca & Michele Fratianni & Franco Spinelli & Carmine Trecroci, 2012. "Macroeconomic Instability and the Phillips Curve in Italy," Economia politica, Società editrice il Mulino, issue 1, pages 19-44.
    35. Neri, Stefano, 2023. "Long-term inflation expectations and monetary policy in the euro area before the pandemic," European Economic Review, Elsevier, vol. 154(C).
    36. Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29.
    37. Valentin Jouvanceau, 2016. "The Portfolio Rebalancing Channel of Quantitative Easing," Working Papers 1625, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    38. Ali Dib & Mohamed Gammoudi & Kevin Moran, 2005. "Forecasting Canadian Time Series with the New-Keynesian Model," Cahiers de recherche 0527, CIRPEE.
    39. Gary, Koop, 2013. "Using VARs and TVP-VARs with Many Macroeconomic Variables," SIRE Discussion Papers 2013-35, Scottish Institute for Research in Economics (SIRE).
    40. Berger, Helge & Österholm, Pär, 2009. "Does money still matter for U.S. output?," Economics Letters, Elsevier, vol. 102(3), pages 143-146, March.
    41. Rangan Gupta & Alain Kabundi & Stephen M. Miller & Josine Uwilingiye, 2011. "Using Large Data Sets to Forecast Sectoral Employment," Working papers 2011-02, University of Connecticut, Department of Economics, revised Aug 2012.
    42. Domenico Giannone & Troy Matheson, 2006. "A new core inflation indicator for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2006/02, Reserve Bank of New Zealand.
    43. Giannone, Domenico & Lenza, Michele & Onorante, Luca & Momferatou, Daphne, 2010. "Short-Term Inflation Projections: a Bayesian Vector Autoregressive approach," CEPR Discussion Papers 7746, C.E.P.R. Discussion Papers.
    44. Ritschl, Albrecht & Uebele, Martin & Sarferaz, Samad, 2008. "The U.S. Business Cycle, 1867-1995: A Dynamic Factor Approach," CEPR Discussion Papers 7069, C.E.P.R. Discussion Papers.
    45. Alessia Paccagnini, 2017. "Forecasting with FAVAR: macroeconomic versus financial factors," NBP Working Papers 256, Narodowy Bank Polski.
    46. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    47. Rangan Gupta & Monique Reid, 2013. "Macroeconomic surprises and stock returns in South Africa," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 30(3), pages 266-282, July.
    48. Fabio Milani, 2008. "Learning about the Interdependence between the Macroeconomy and the Stock Market," Working Papers 070819, University of California-Irvine, Department of Economics.
    49. Theodore M. Crone & Michael P. McLaughlin, 1999. "A Bayesian VAR forecasting model for the Philadelphia Metropolitan Area," Working Papers 99-7, Federal Reserve Bank of Philadelphia.
    50. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
    51. Christopher A. Sims, 1989. "A nine variable probabilistic macroeconomic forecasting model," Discussion Paper / Institute for Empirical Macroeconomics 14, Federal Reserve Bank of Minneapolis.
    52. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2016. "Signals from the government: Policy disagreement and the transmission of fiscal shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 107-118.
    53. Antonio M. Conti & Andrea Nobili & Federico M. Signoretti, 2018. "Bank capital constraints, lending supply and economic activity," Temi di discussione (Economic working papers) 1199, Bank of Italy, Economic Research and International Relations Area.
    54. Massimo Guidolin, 2011. "Markov Switching Models in Empirical Finance," Working Papers 415, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    55. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    56. Cristina Fuentes-Albero & Leonardo Melosi, 2011. "Methods for Computing Marginal Data Densities from the Gibbs Output," Departmental Working Papers 201131, Rutgers University, Department of Economics.
    57. BAUWENS, Luc & KOROBILIS, Dimitris, 2011. "Bayesian methods," LIDAM Discussion Papers CORE 2011061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    58. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2020. "Price dividend ratio and long-run stock returns: a score driven state space model," Temi di discussione (Economic working papers) 1296, Bank of Italy, Economic Research and International Relations Area.
    59. Caesar Lack, 2006. "Forecasting Swiss inflation using VAR models," Economic Studies 2006-02, Swiss National Bank.
    60. Todd E. Clark & Michael W. McCracken, 2009. "Combining Forecasts from Nested Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 303-329, June.
    61. Peter C.B. Phillips, 1985. "Asymptotic Expansions in Nonstationary Vector Autoregressions," Cowles Foundation Discussion Papers 765, Cowles Foundation for Research in Economics, Yale University.
    62. Rangan Gupta & Marius Jurgilas & Alan Kabundi & Stephen M. Miller, 2009. "Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Mode," Working Papers 0919, University of Nevada, Las Vegas , Department of Economics.
    63. Joshua C C Chan & Eric Eisenstat & Gary Koop, 2014. "Large Bayesian VARMAs," Working Papers 1409, University of Strathclyde Business School, Department of Economics.
    64. Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
    65. De Backer, Bruno & Dewachter, Hans & Iania, Leonardo, 2021. "Macrofinancial information on the post-COVID-19 economic recovery: Will it be V, U or L-shaped?," LIDAM Reprints LFIN 2021007, Université catholique de Louvain, Louvain Finance (LFIN).
    66. Giacomini, Raffaella & Granger, Clive W. J., 2004. "Aggregation of space-time processes," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 7-26.
    67. Carlos Garcia & Pablo Gonzalez & Antonio Moncado, 2010. "Proyecciones Macroeconómicas en Chile: Una Aproximación Bayesiana," ILADES-UAH Working Papers inv262, Universidad Alberto Hurtado/School of Economics and Business.
    68. Warne, Anders & Droumaguet, Matthieu & Woźniak, Tomasz, 2015. "Granger causality and regime inference in Bayesian Markov-Switching VARs," Working Paper Series 1794, European Central Bank.
    69. 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.
    70. Alexander Chudik & M. Hashem Pesaran, 2013. "Econometric Analysis of High Dimensional VARs Featuring a Dominant Unit," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 592-649, August.
    71. John C. Robertson & Ellis W. Tallman, 1999. "Improving forecasts of the federal funds rate in a policy model," FRB Atlanta Working Paper 99-3, Federal Reserve Bank of Atlanta.
    72. Todd E. Clark & Michael W. McCracken, 2006. "Forecasting of small macroeconomic VARs in the presence of instabilities," Research Working Paper RWP 06-09, Federal Reserve Bank of Kansas City.
    73. Rebucci, Alessandro & Ciccarelli, Matteo, 2004. "Has the Transmission Mechanism of European Monetary Policy Changed in the Run-Up to EMU?," CEPR Discussion Papers 4535, C.E.P.R. Discussion Papers.
    74. Canova, Fabio & Ciccarelli, Matteo, 2003. "Panel Index VAR Models: Specification, Estimation, Testing and Leading Indicators," CEPR Discussion Papers 4033, C.E.P.R. Discussion Papers.
    75. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Forecasting the US Real House Price Index: Structural and Non-Structural Models with and without Fundamentals," Working papers 2009-42, University of Connecticut, Department of Economics.
    76. Martin Larch & João Nogueira Martins, 2007. "Fiscal indicators - Proceedings of the the Directorate-General for Economic and Financial Affairs Workshop held on 22 September 2006 in Brussels," European Economy - Economic Papers 2008 - 2015 297, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    77. Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
    78. Rangan Gupta & Marius Jurgilas & Stephen M. Miller & Dylan van Wyk, 2010. "Financial Market Liberalization, Monetary Policy, and Housing Price Dynamics," Working Papers 201009, University of Pretoria, Department of Economics.
    79. Eric M. Leeper & Tao Zha, 1999. "Modest policy interventions," FRB Atlanta Working Paper 99-22, Federal Reserve Bank of Atlanta.
    80. Song Song & Peter J. Bickel, 2011. "Large Vector Auto Regressions," Papers 1106.3915, arXiv.org.
    81. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
    82. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," NBER Working Papers 18467, National Bureau of Economic Research, Inc.
    83. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Using Large Data Sets to Forecast Housing Prices: A Case Study of Twenty US States," Working Papers 200912, University of Pretoria, Department of Economics.
    84. Fabio Canova & Luca Gambetti, 2004. "On the Time Variations of US Monetary Policy: Who is right?," Money Macro and Finance (MMF) Research Group Conference 2004 96, Money Macro and Finance Research Group.
    85. Ghent, Andra C., 2009. "Comparing DSGE-VAR forecasting models: How big are the differences?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 864-882, April.
    86. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    87. Marek Jarocinski & Albert Marcet, 2013. "Priors about Observables in Vector Autoregressions," UFAE and IAE Working Papers 929.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    88. Smets, Frank & Del Negro, Marco & Wouters, Rafael & Schorfheide, Frank, 2005. "On the Fit and Forecasting Performance of New Keynesian Models," CEPR Discussion Papers 4848, C.E.P.R. Discussion Papers.
    89. Yiannis Kamarianakis & Poulicos Prastacos, 2006. "Spatial Time-Series Modeling: A review of the proposed methodologies," Working Papers 0604, University of Crete, Department of Economics.
    90. Pär Österholm, 2006. "Incorporating judgement in fan charts," Finance and Economics Discussion Series 2006-39, Board of Governors of the Federal Reserve System (U.S.).
    91. Antonello D'Agostino & Luca Gambetti & Domenico Giannone, 2009. "Macroeconomic Forecasting and Structural Change," Working Papers ECARES 2009_020, ULB -- Universite Libre de Bruxelles.
    92. Pami Dua & Nishita Raje & Satyananda Sahoo, 2004. "Interest Rate Modeling and Forecasting in India," Occasional papers 3, Centre for Development Economics, Delhi School of Economics.
    93. M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2005. "What if the UK had Joined the Euro in 1999? An Empirical Evaluation Using a Global VAR," CESifo Working Paper Series 1477, CESifo.
    94. Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2007. "Bayesian VARs with Large Panels," CEPR Discussion Papers 6326, C.E.P.R. Discussion Papers.
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    2. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
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  11. Robert B. Litterman, 1982. "A use of index models in macroeconomic forecasting," Staff Report 78, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Robert B. Litterman, 1982. "Optimal Control of the Money Supply," NBER Working Papers 0912, National Bureau of Economic Research, Inc.

  12. Robert B. Litterman, 1979. "Techniques of forecasting using vector autoregressions," Working Papers 115, Federal Reserve Bank of Minneapolis.

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    1. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
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    13. Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
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    19. Espinosa Acuña, Óscar A. & Vaca González, Paola A. & Avila Forero, Raúl A., 2013. "Elasticidades de demanda por electricidad e impactos macroecon_omicos del precio de la energía eléctrica en Colombia || Elasticity of Electricity Demand and Macroeconomics Impacts of Electricity Price," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 16(1), pages 216-249, December.
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    22. Rangan Gupta & Kevin Kotze, 2015. "The Role of Oil Prices in the Forecasts of South African Interest Rates: A Bayesian Approach," Working Papers 201531, University of Pretoria, Department of Economics.
    23. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
    24. Jean-Pierre Allegret & Alain Sand-Zantman, 2009. "Does a Monetary Union protect against foreign shocks? An assessment of Latin American integration using a Bayesian VAR," Post-Print hal-01791864, HAL.
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Articles

  1. Mark Carhart & Bob Litterman & Clayton Munnings & Olivia Vitali, 2022. "Measuring comprehensive carbon prices of national climate policies," Climate Policy, Taylor & Francis Journals, vol. 22(2), pages 198-207, February.

    Cited by:

    1. Trinks, Arjan & Hille, Erik, 2023. "Carbon Costs and Industrial Firm Performance: Evidence from International Microdata," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277705, Verein für Socialpolitik / German Economic Association.
    2. Sang, Meiyue & Shen, Liyin & Du, Xiaoyun & Yang, Yi, 2025. "Is there a joint force between academic literature and policy measure in promoting low-carbon city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).

  2. Kent D. Daniel & Robert B. Litterman & Gernot Wagner, 2019. "Declining CO 2 price paths," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(42), pages 20886-20891, October.

    Cited by:

    1. Landry, Joel R., 2021. "The political allocation of green pork and its implications for federal climate policy," Journal of Public Economics, Elsevier, vol. 201(C).
    2. Rao, Akhil & Burgess, Matthew & Kaffine, Daniel, 2020. "Orbital-use fees could more than quadruple the value of the space industry," MPRA Paper 112708, University Library of Munich, Germany.
    3. Edenhofer, Ottmar & Lessmann, Kai & Tahri, Ibrahim, 2024. "Asset pricing and the carbon beta of externalities," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    4. Matteo Gasparini & Peter Tufano, 2023. "The Evolving Academic Field of Climate Finance," Harvard Business School Working Papers 23-057, Harvard Business School.
    5. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2023. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," LSE Research Online Documents on Economics 119258, London School of Economics and Political Science, LSE Library.
    6. Waxman, Andrew R. & Corcoran, Sean & Robison, Andrew & Leibowicz, Benjamin D. & Olmstead, Sheila, 2021. "Leveraging scale economies and policy incentives: Carbon capture, utilization & storage in Gulf clusters," Energy Policy, Elsevier, vol. 156(C).
    7. Daniel Raimi & Emily Grubert & Jake Higdon & Gilbert Metcalf & Sophie Pesek & Devyani Singh, 2023. "The Fiscal Implications of the US Transition Away from Fossil Fuels," Review of Environmental Economics and Policy, University of Chicago Press, vol. 17(2), pages 295-315.
    8. Meng, Weizhen & Li, Shilin & Yang, Jinqiang, 2024. "Mitigating disaster risks caused by carbon emissions," Economics Letters, Elsevier, vol. 241(C).
    9. Chen, Zhuo & Liu, Jinyu & Lu, Andrea & Tao, Libin, 2024. "Carbon dioxide and asset pricing: Evidence from international stock markets," Journal of Empirical Finance, Elsevier, vol. 75(C).
    10. Felix Pretis, 2022. "Does a Carbon Tax Reduce CO2 Emissions? Evidence from British Columbia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(1), pages 115-144, September.
    11. Adnan, Muflih A. & Kibria, Md Golam, 2020. "Comparative techno-economic and life-cycle assessment of power-to-methanol synthesis pathways," Applied Energy, Elsevier, vol. 278(C).
    12. Klotz, Richard & Sharma, Rishi R., 2023. "Trade barriers and CO2," Journal of International Economics, Elsevier, vol. 141(C).
    13. Olijslagers, Stan & van der Ploeg, Frederick & van Wijnbergen, Sweder, 2023. "On current and future carbon prices in a risky world," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    14. Rafaty, Ryan & Dolphin, Geoffroy & Pretis, Felix, 2025. "Carbon pricing and the elasticity of CO2 emissions," Energy Economics, Elsevier, vol. 144(C).
    15. Meng, Weizhen & Chen, Tuyue & Yang, Jinqiang, 2025. "The economic and policy consequences of carbon emissions," Journal of Mathematical Economics, Elsevier, vol. 117(C).
    16. Anthony Wiskich, 2024. "Social Costs of Methane and Carbon Dioxide in a Tipping Climate," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(5), pages 1275-1293, May.
    17. Raimi, Daniel, 2021. "Effects of Climate Change on Heat- and Cold-Related Mortality: A Literature Review to Inform Updated Estimates of the Social Cost of Carbon," RFF Working Paper Series 21-12, Resources for the Future.
    18. Rubtsov, Alexey & Xu, Wei & Šević, Aleksandar & Šević, Željko, 2021. "Price of climate risk hedging under uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 165(C).

  3. Mark Carhart & Ui-Wing Cheah & Giorgio De Santis & Harry Farrell & Robert Litterman, 2014. "Exotic Beta Revisited," Financial Analysts Journal, Taylor & Francis Journals, vol. 70(5), pages 24-52, September.

    Cited by:

    1. Karl Demers-Bélanger & Van Son Lai, 2019. "Diversification Benefits of Cat Bonds: An In-Depth Examination," Working Papers 2019-008, Department of Research, Ipag Business School.

  4. Robert Litterman, 2011. "Pricing Climate Change Risk Appropriately," Financial Analysts Journal, Taylor & Francis Journals, vol. 67(5), pages 4-10, September.

    Cited by:

    1. Chen, Zhuo & Liu, Jinyu & Lu, Andrea & Tao, Libin, 2024. "Carbon dioxide and asset pricing: Evidence from international stock markets," Journal of Empirical Finance, Elsevier, vol. 75(C).
    2. Broeders, Dirk & Dimitrov, Daniel & Verhoeven, Niek, 2025. "Climate-linked bonds," Working Paper Series 3011, European Central Bank.
    3. Dirk Broeders & Daniel Dimitrov & Niek Verhoeven, 2024. "Climate-Linked Bonds," Working Papers 817, DNB.

  5. Robert B. Litterman & Tim Shepheard-Walwyn, 1998. "Building a coherent risk measurement and capital optimisation model for financial firms," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Oct), pages 171-182.

    Cited by:

    1. Wiener, Zvi, 2012. "The value of Value-at-Risk: A theoretical approach to the pricing and performance of risk measurement systems," Journal of Economics and Business, Elsevier, vol. 64(3), pages 199-213.
    2. Weijermars, Ruud, 2009. "Accelerating the three dimensions of E&P clockspeed - A novel strategy for optimizing utility in the Oil & Gas industry," Applied Energy, Elsevier, vol. 86(10), pages 2222-2243, October.
    3. João A. C. Santos, 2000. "Bank capital regulation in contemporary banking theory: a review of the literature," BIS Working Papers 90, Bank for International Settlements.

  6. Knez, Peter J & Litterman, Robert & Scheinkman, Jose Alexandre, 1994. "Explorations into Factors Explaining Money Market Returns," Journal of Finance, American Finance Association, vol. 49(5), pages 1861-1882, December.

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    1. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2005. "New-Keynesian Macroeconomics and the Term Structure," NBER Working Papers 11340, National Bureau of Economic Research, Inc.
    2. Charles L. Evans & David A. Marshall, 2001. "Economic determinants of the nominal treasury yield curve," Working Paper Series WP-01-16, Federal Reserve Bank of Chicago.
    3. Tao Wu, 2003. "Stylized facts on nominal term structure and business cycles: an empirical VAR study," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 901-906.
    4. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    5. Francis X. Diebold & Canlin Li, 2002. "Forecasting the Term Structure of Government Bond Yields," Center for Financial Institutions Working Papers 02-34, Wharton School Center for Financial Institutions, University of Pennsylvania.
    6. Alessia Paccagnini, 2016. "The Macroeconomic Determinants of the US Term-Structure During The Great Moderation," Open Access publications 10197/7324, School of Economics, University College Dublin.
    7. Andrea Roncoroni & Stefano Galluccio & Paolo Guiotto, 2010. "Shape factors and cross-sectional risk," Post-Print hal-00736733, HAL.
    8. Manconi, Alberto & Massa, Massimo & Yasuda, Ayako, 2010. "The Behavior of Intoxicated Investors: The Role of Institutional Investors in Propagating the Crisis of 2007-2008," Working Papers 10-22, University of Pennsylvania, Wharton School, Weiss Center.
    9. Demir, Ishak & Eroglu, Burak A. & Yildirim-Karaman, Secil, 2021. "Heterogeneous effects of unconventional monetary policy on bond yields across the euro area," LEAF Working Paper Series 19-06, University of Lincoln, Lincoln International Business School, Lincoln Economics and Finance Research Group (LEAF), revised 2021.
    10. Abbas Hejri, 2022. "On the recent developments of mutual funds with fixed‐income holdings: a systematic review," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2313-2338, June.
    11. C. Emre Alper & Aras Akdemir & Kazim Kazimov, 2004. "Estimating Yield Curves in Turkey: Factor Analysis Approach," Working Papers 2004/04, Bogazici University, Department of Economics.
    12. Mariano Kulish & Daniel Rees, 2008. "Monetary Transmission and the Yield Curve in a Small Open Economy," RBA Research Discussion Papers rdp2008-03, Reserve Bank of Australia.
    13. Hitesh Doshi & Kris Jacobs & Rui Liu, 2021. "Information in the Term Structure: A Forecasting Perspective," Management Science, INFORMS, vol. 67(8), pages 5255-5277, August.
    14. Christopher Otrok & Andre Kurmann, 2010. "News Shocks and the Slope of the Term Structure of Interest Rates," 2010 Meeting Papers 72, Society for Economic Dynamics.
    15. Andrew Ang & Jean Boivin & Sen Dong & Rudy Loo-Kung, 2009. "Monetary Policy Shifts and the Term Structure," NBER Working Papers 15270, National Bureau of Economic Research, Inc.
    16. Mei-Mei Kuo & Shih-Wen Tai & Bing-Huei Lin, 2012. "Forecasting Term Structure of HIBOR Swap Rates," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(4), pages 87-100.
    17. Takamizawa, Hideyuki & Shoji, Isao, 2009. "Modeling the term structure of interest rates with general diffusion processes: A moment approximation approach," Journal of Economic Dynamics and Control, Elsevier, vol. 33(1), pages 65-77, January.
    18. Anshul Kumar & Agnirup Sarkar & Bodhisattva Sengupta, 2024. "Monetary and Fiscal Policy Impacts on the Indian Sovereign Bond Market: A VAR Approach," South Asian Journal of Macroeconomics and Public Finance, , vol. 13(2), pages 143-168, December.
    19. Francis X. Diebold & Lei Ji & Canlin Li, 2006. "A Three-Factor Yield Curve Model: Non-Affine Structure, Systematic Risk Sources and Generalized Duration," Chapters, in: Lawrence R. Klein (ed.), Long-run Growth and Short-run Stabilization, chapter 9, Edward Elgar Publishing.
    20. Hans Dewachter, 2004. "Macro factors and the term structure of interest rates," Money Macro and Finance (MMF) Research Group Conference 2003 25, Money Macro and Finance Research Group.
    21. Mönch, Emanuel, 2005. "Forecasting the yield curve in a data-rich environment: a no-arbitrage factor-augmented VAR approach," Working Paper Series 544, European Central Bank.
    22. Andrew Ang & Monika Piazzesi & Min Wei, 2004. "What Does the Yield Curve Tell us about GDP Growth?," NBER Working Papers 10672, National Bureau of Economic Research, Inc.
    23. Chadwick, Meltem, 2010. "Modelling Time-varying Bond Risk Premia for Utilities Industry," MPRA Paper 75840, University Library of Munich, Germany.
    24. Carstensen, Kai, 2003. "Nonstationary term premia and cointegration of the term structure," Economics Letters, Elsevier, vol. 80(3), pages 409-413, September.
    25. Mr. Iryna V. Ivaschenko & Mr. Jorge A Chan-Lau, 2001. "Corporate Bond Risk and Real Activity: An Empirical Analysis of Yield Spreads and Their Systematic Components," IMF Working Papers 2001/158, International Monetary Fund.
    26. Kang, Jangkoo & Park, Hyoung-Jin, 2006. "Tests of alternate models for the pricing of Korean Treasury bond futures contracts," Pacific-Basin Finance Journal, Elsevier, vol. 14(4), pages 410-425, September.
    27. Baaquie, Belal E. & Pan, Tang, 2011. "Simulation of coupon bond European and barrier options in quantum finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 263-289.
    28. Peter Grundke & Kamil Pliszka, 2018. "A macroeconomic reverse stress test," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1093-1130, May.
    29. Markus Leippold & Liuren Wu, 2003. "Design and Estimation of Quadratic Term Structure Models," Review of Finance, European Finance Association, vol. 7(1), pages 47-73.
    30. Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.
    31. Francis X. Diebold & Glenn D. Rudebusch & S. Boragan Aruoba, 2004. "The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach," NBER Working Papers 10616, National Bureau of Economic Research, Inc.
    32. Viktors Ajevskis & Kristine Vitola, 2006. "A Factor Model of the Term Structure of Interest Rates and Risk Premium Estimation for Latvia's Money Market," Working Papers 2006/01, Latvijas Banka.
    33. Seung C. Ahn & Stephan Dieckmann & M. Fabricio Perez, 2018. "Is there a missing factor? A canonical correlation approach to factor models," Review of Financial Economics, John Wiley & Sons, vol. 36(4), pages 321-347, October.
    34. Memmel, Christoph & Heckmann, Lotta, 2025. "Modeling the term structure," Discussion Papers 07/2025, Deutsche Bundesbank.
    35. Oliver Blaskowitz & Helmut Herwartz, 2009. "Adaptive forecasting of the EURIBOR swap term structure," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 575-594.
    36. Brooks, Robert, 1996. "Computing yields on enhanced CDs," Financial Services Review, Elsevier, vol. 5(1), pages 31-42.
    37. Massoud Heidari & Liuren Wu, 2002. "Term Structure of Interest Rates, Yield Curve Residuals, and the Consistent Pricing of Interest Rates and Interest Rate Derivatives," Finance 0207010, University Library of Munich, Germany, revised 10 Sep 2002.
    38. Cláudia Simões & Luís Oliveira & Jorge M. Bravo, 2021. "Immunization Strategies for Funding Multiple Inflation-Linked Retirement Income Benefits," Risks, MDPI, vol. 9(4), pages 1-28, March.
    39. Ielpo, Florian & Guégan, Dominique, 2006. "Further evidence on the impact of economic news on interest rates," MPRA Paper 3425, University Library of Munich, Germany, revised Jun 2007.
    40. Devin Reilly & Pierre-Daniel G. Sarte, 2010. "Changes in monetary policy and the variation in interest rate changes across credit markets," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 96(2Q), pages 201-229.
    41. Marco Lyrio & Hans Dewachter & Konstantijn Maes, 2006. "A joint model for the term structure of interest rates and the macroeconomy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 439-462.
    42. Lekkos, Ilias, 2001. "Factor models and the correlation structure of interest rates: Some evidence for USD, GBP, DEM and JPY," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1427-1445, August.
    43. Francis X. Diebold, & Rudebusch, Glenn D. & Aruoba, S. Boragan, 2003. "The Macroeconomy and the Yield Curve: A Nonstructural Analysis," CFS Working Paper Series 2003/31, Center for Financial Studies (CFS).
    44. Evans, Charles L. & Marshall, David A., 1998. "Monetary policy and the term structure of nominal interest rates: Evidence and theory," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 53-111, December.
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    614. Pablo Pincheira, 2006. "Conditional Evaluation of Exchange Rate Predictive Ability in Long Run Regressions," Working Papers Central Bank of Chile 378, Central Bank of Chile.
    615. Peter C.B. Phillips, 1992. "Bayes Methods for Trending Multiple Time Series with an Empirical Application to the US Economy," Cowles Foundation Discussion Papers 1025, Cowles Foundation for Research in Economics, Yale University.
    616. Megna, Robert & Xu, Qiang, 2003. "Forecasting the New York State economy: The coincident and leading indicators approach," International Journal of Forecasting, Elsevier, vol. 19(4), pages 701-713.
    617. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    618. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2014. "Forecasting with Bayesian Global Vector Autoregressive Models: A Comparison of Priors," Working Papers 189, Oesterreichische Nationalbank (Austrian Central Bank).
    619. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    620. Paul Rudel & Peter Tillmann, 2018. "News Shock Spillovers: How the Euro Area Responds to Expected Fed Policy," MAGKS Papers on Economics 201832, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    621. Keating, John W., 2000. "Macroeconomic Modeling with Asymmetric Vector Autoregressions," Journal of Macroeconomics, Elsevier, vol. 22(1), pages 1-28, January.

  9. Litterman, Robert, 1986. "A statistical approach to economic forecasting : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 1-4," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.

    Cited by:

    1. Raffaella Giacomini, 2012. "Incorporating theoretical restrictions into forecasting by projection methods," 2012 Meeting Papers 548, Society for Economic Dynamics.
    2. Gianluigi Pelloni & Wolfgang Polasek, 2003. "Macroeconomic Effects of Sectoral Shocks in Germany, The U.K. and, The U.S.: A VAR-GARCH-M Approach," Computational Economics, Springer;Society for Computational Economics, vol. 21(1_2), pages 65-85, February.
    3. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    4. Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
    5. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    6. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    7. Jan Jacobs & Albert van der Horst,, 1996. "VAR-ing the economy of the Netherlands," Working Papers 24, Centre for Economic Research, University of Groningen and University of Twente.
    8. Michael D. Bordo & Edward Simpson Prescott, 2019. "Federal Reserve Structure, Economic Ideas, and Monetary and Financial Policy," Working Papers 19-13, Federal Reserve Bank of Cleveland.
    9. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
    10. Gianluigi Pelloni & Wolfgang Polasek, "undated". "Intersectoral Labour Reallocation and Employment Volatility: A Bayesian Analysis using a VAR-GARCH-M model," Discussion Papers 99/4, Department of Economics, University of York.
    11. Ribeiro Ramos, Francisco Fernando, 2003. "Forecasts of market shares from VAR and BVAR models: a comparison of their accuracy," International Journal of Forecasting, Elsevier, vol. 19(1), pages 95-110.
    12. Gonzalo Fernandez-de-Córdoba & José L. Torres, 2009. "Forecasting the Spanish economy with an Augmented VAR-DSGE model," Working Papers 2009-1, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    13. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    14. Nicholson, William B. & Matteson, David S. & Bien, Jacob, 2017. "VARX-L: Structured regularization for large vector autoregressions with exogenous variables," International Journal of Forecasting, Elsevier, vol. 33(3), pages 627-651.
    15. Susi Gorbey & Doug James & Jacques Poot, 1999. "Population Forecasting with Endogenous Migration: An Application to Trans-Tasman Migration," International Regional Science Review, , vol. 22(1), pages 69-101, April.
    16. Michael T. Belongia, 1987. "Predicting interest rates: a comparison of professional and market- based forecasts," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 9-15.
    17. Bradshaw, Girard W. & Orden, David, 1988. "Time Series Models For Exchange Rate And Agricultural Price Forecasts," Regional Research Projects > 1988: S-180 Annual Meeting, March 20-23, 1988, Savannah, Georgia 272786, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    18. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    19. Francisco J. S. Rocha & Marcos R. V. Magalhaes & Ã tila Amaral Brilhante, 2022. "A BVAR Analysis on Channels of Monetary Policy Transmission in Brazil," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(3), pages 1-19, February.

  10. Litterman, Robert B, 1986. "A Statistical Approach to Economic Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 1-4, January.

    Cited by:

    1. Raffaella Giacomini, 2012. "Incorporating theoretical restrictions into forecasting by projection methods," 2012 Meeting Papers 548, Society for Economic Dynamics.
    2. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," ERSA Working Paper Series, Economic Research Southern Africa, vol. 0.
    3. Guangling 'Dave' Liu & Rangan Gupta & Eric Schaling, 2009. "A New-Keynesian DSGE model for forecasting the South African economy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 387-404.
    4. Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024. "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 399-437, January.
    5. Raffaella Giacomini & Barbara Rossi, 2013. "Forecasting in macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 17, pages 381-408, Edward Elgar Publishing.
    6. Gianluigi Pelloni & Wolfgang Polasek, 2003. "Macroeconomic Effects of Sectoral Shocks in Germany, The U.K. and, The U.S.: A VAR-GARCH-M Approach," Computational Economics, Springer;Society for Computational Economics, vol. 21(1_2), pages 65-85, February.
    7. Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2007. "Bayesian VARs with Large Panels," CEPR Discussion Papers 6326, C.E.P.R. Discussion Papers.
    8. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    9. Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
    10. Uquillas, Adriana & Tonato, Ronny, 2022. "Inter-portfolio credit risk contagion including macroeconomic and financial factors: A case study for Ecuador," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 299-320.
    11. Marta Bańbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92, January.
    12. Doojav, Gan-Ochir, 2021. "Macroeconomic modeling for optimal stabilization policy in Mongolia," MPRA Paper 111206, University Library of Munich, Germany.
    13. Jan Jacobs & Albert van der Horst,, 1996. "VAR-ing the economy of the Netherlands," Working Papers 24, Centre for Economic Research, University of Groningen and University of Twente.
    14. Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018. "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers 2018-32, Department of Economics and Business Economics, Aarhus University.
    15. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
    16. Gianluigi Pelloni & Wolfgang Polasek, "undated". "Intersectoral Labour Reallocation and Employment Volatility: A Bayesian Analysis using a VAR-GARCH-M model," Discussion Papers 99/4, Department of Economics, University of York.
    17. Ribeiro Ramos, Francisco Fernando, 2003. "Forecasts of market shares from VAR and BVAR models: a comparison of their accuracy," International Journal of Forecasting, Elsevier, vol. 19(1), pages 95-110.
    18. Gonzalo Fernandez-de-Córdoba & José L. Torres, 2009. "Forecasting the Spanish economy with an Augmented VAR-DSGE model," Working Papers 2009-1, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    19. Nicholson, William B. & Matteson, David S. & Bien, Jacob, 2017. "VARX-L: Structured regularization for large vector autoregressions with exogenous variables," International Journal of Forecasting, Elsevier, vol. 33(3), pages 627-651.
    20. Morão, Hugo, 2024. "The impact of carbon policy news on the national energy industry," Energy Economics, Elsevier, vol. 134(C).
    21. Susi Gorbey & Doug James & Jacques Poot, 1999. "Population Forecasting with Endogenous Migration: An Application to Trans-Tasman Migration," International Regional Science Review, , vol. 22(1), pages 69-101, April.
    22. Michael T. Belongia, 1987. "Predicting interest rates: a comparison of professional and market- based forecasts," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 9-15.
    23. Martínez-Martin, Jaime & Morris, Richard & Onorante, Luca & Piersanti, Fabio M., 2019. "Merging structural and reduced-form models for forecasting: opening the DSGE-VAR box," Working Paper Series 2335, European Central Bank.
    24. Bradshaw, Girard W. & Orden, David, 1988. "Time Series Models For Exchange Rate And Agricultural Price Forecasts," Regional Research Projects > 1988: S-180 Annual Meeting, March 20-23, 1988, Savannah, Georgia 272786, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    25. Balcilar, Mehmet & Gupta, Rangan & Kotzé, Kevin, 2015. "Forecasting macroeconomic data for an emerging market with a nonlinear DSGE model," Economic Modelling, Elsevier, vol. 44(C), pages 215-228.
    26. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    27. Antonio García Ferrer & Juan del Hoyo Bernat & Peter C. Young & Alfonso Novales Cinca, 1993. "Recursive identification, estimation and forecasting of nonstationary economic time series with applications to GNP international data," Documentos de Trabajo del ICAE 9310, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  11. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    See citations under working paper version above.
  12. Litterman, Robert B, 1986. "Forecasting Accuracy of Alternative Techniques: A Comparison of U.S. Macroeconomic Forecasts: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 17-19, January.

    Cited by:

    1. Christopher A. Sims, 1989. "A nine variable probabilistic macroeconomic forecasting model," Discussion Paper / Institute for Empirical Macroeconomics 14, Federal Reserve Bank of Minneapolis.
    2. Ullrich Heilemann & Herman O. Stekler, 2010. "Has the Accuracy of German Macroeconomic Forecasts Improved?," Working Papers 2010-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Feb 2012.
    3. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    4. Thomas F. Cargill & Steven A. Morus, 1988. "A vector autoregression model of the Nevada economy," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 21-32.

  13. Robert B. Litterman, 1985. "How monetary policy in 1985 affects the outlook," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 9(Fall).

    Cited by:

    1. Kerry D. Vandell, 1996. "Improving Secondary Markets in Rural America," Wisconsin-Madison CULER working papers 96-14, University of Wisconsin Center for Urban Land Economic Research.
    2. Bjørnar Karlsen Kivedal, 2018. "A new Keynesian framework and wage and price dynamics in the USA," Empirical Economics, Springer, vol. 55(3), pages 1271-1289, November.
    3. Elizabeth Laderman & Ronald H. Schmidt & Gary C. Zimmerman, 1991. "Location, branching, and bank portfolio diversification: the case of agricultural lending," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 24-38.

  14. Litterman, Robert B & Weiss, Laurence M, 1985. "Money, Real Interest Rates, and Output: A Reinterpretation of Postwar U.S. Data," Econometrica, Econometric Society, vol. 53(1), pages 129-156, January.
    See citations under working paper version above.
  15. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

    Cited by:

    1. McIntosh, Christopher S. & Park, Timothy A. & Karnum, Chandrasekar, 1997. "The Potential Impact of Nutrient Management Legislation on the U.S. Broiler Industry," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35899, Western Agricultural Economics Association.
    2. Andrea Bonilla Bolanos, 2014. "External Vulnerabilities And Economic Integration: Is The Union Of South American Nations A Promising Project?," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(2), pages 97-131, June.
    3. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
    4. van Heerde, H.J. & Dekimpe, M.G. & Putsis, W.P., 2004. "Marketing Models and the Lucas Critique," ERIM Report Series Research in Management ERS-2004-080-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Rahul Verma & Hasan Baklaci & Gokce Soydemir, 2008. "The impact of rational and irrational sentiments of individual and institutional investors on DJIA and S&P500 index returns," Applied Financial Economics, Taylor & Francis Journals, vol. 18(16), pages 1303-1317.
    6. Espinosa Acuña, Óscar A. & Vaca González, Paola A. & Avila Forero, Raúl A., 2013. "Elasticidades de demanda por electricidad e impactos macroecon_omicos del precio de la energía eléctrica en Colombia || Elasticity of Electricity Demand and Macroeconomics Impacts of Electricity Price," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 16(1), pages 216-249, December.
    7. Robert Litterman, 1987. "The Limits of Counter-Cyclical Monetary Policy: an Analysis Based on Optimal Control Theory and Vector Autoregressions," Annals of Economics and Statistics, GENES, issue 6-7, pages 125-160.
    8. Margarit Monica-Ionelia, 2022. "Using The Bayesian Var In Monetary Policy Analysis: A Literature Review," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 212-216, February.
    9. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.
    10. Catherine Bac, 2001. "Arbitrage entre fluctuations de l'inflation et de l'activité au niveau de la zone "euro"," Économie et Prévision, Programme National Persée, vol. 150(4), pages 47-58.
    11. Massimiliano Marcellino & Yuliya Rychalovska, 2012. "An estimated DSGE model of a Small Open Economy within the Monetary Union: Forecasting and Structural Analysis," RSCAS Working Papers 2012/34, European University Institute.
    12. Gary L. Shoesmith, 1990. "The Forecasting Accuracy of Regional Bayesian VAR Models with Alternative National Variable Choices," International Regional Science Review, , vol. 13(3), pages 257-269, December.
    13. Bouoiyour, Jamal & Rey, Serge, 1995. "Chocs externes et ajustements des taux de change réels européens [External shocks and adjustment of European real exchange rates]," MPRA Paper 30241, University Library of Munich, Germany.
    14. Roberto Duncan & Enrique Martínez García, 2015. "Forecasting local inflation in Open Economies: What Can a NOEM Model Do?," Globalization Institute Working Papers 235, Federal Reserve Bank of Dallas, revised 21 Dec 2022.
    15. Racette, Daniel & Raynauld, Jacques & Lauzon, Simon, 1992. "La règle monétaire de McCallum revue à la lumière de la méthodologie de Litterman," L'Actualité Economique, Société Canadienne de Science Economique, vol. 68(1), pages 262-282, mars et j.
    16. Yochanan Shachmurove, 2001. "Dynamic Co-movements of Stock Indices: The Emerging Middle Eastern and the United States Markets," Penn CARESS Working Papers ddffc4204cf90a8523fb64134, Penn Economics Department.
    17. Terrence Kinal & Jonathan Ratner, 1986. "A VAR Forecasting Model of a Regional Economy: Its Construction and Comparative Accuracy," International Regional Science Review, , vol. 10(2), pages 113-126, August.
    18. Massimiliano Marcellino & Yuliya Rychalovska, 2014. "Forecasting with a DSGE Model of a Small Open Economy within the Monetary Union," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(5), pages 315-338, August.
    19. Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Bank of Finland Research Discussion Papers 4/1991, Bank of Finland.
    20. Sandrine Lardic & Auguste Mpacko Priso, 1999. "Une comparaison des prévisions des experts à celles issues des modèles B VAR," Économie et Prévision, Programme National Persée, vol. 140(4), pages 161-180.
    21. Raputsoane, Leroi, 2018. "Targeting financial stress as opposed to the exchange rate," MPRA Paper 84865, University Library of Munich, Germany.
    22. Nicholson, William B. & Matteson, David S. & Bien, Jacob, 2017. "VARX-L: Structured regularization for large vector autoregressions with exogenous variables," International Journal of Forecasting, Elsevier, vol. 33(3), pages 627-651.
    23. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    24. Defina, Robert H. & Stark, Thomas C. & Taylor, Herbert E., 1996. "The long-run variance of output and inflation under alternative monetary policy rules," Journal of Macroeconomics, Elsevier, vol. 18(2), pages 235-251.
    25. Ansari, M. I., 1996. "Monetary vs. fiscal policy: Some evidence from vector autoregression for India," Journal of Asian Economics, Elsevier, vol. 7(4), pages 677-698.
    26. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    27. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    28. N.D. Geomelos & E. Xideas, 2014. "Forecasting spot prices in bulk shipping using multivariate and univariate models," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-37, December.
    29. Bentour, El Mostafa, 2015. "A ranking of VAR and structural models in forecasting," MPRA Paper 61502, University Library of Munich, Germany.
    30. Raputsoane, Leroi, 2018. "Monetary policy reaction function pre and post the global financial crisis," MPRA Paper 84866, University Library of Munich, Germany.

  16. Robert B. Litterman, 1984. "Above-average national growth in 1985 and 1986," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

    Cited by:

    1. Rangan Gupta & Stephen M. Miller, 2009. "“Ripple Effects” and Forecasting Home Prices In Los Angeles, Las Vegas, and Phoenix," Working Papers 200901, University of Pretoria, Department of Economics.
    2. Theodore M. Crone & Michael P. McLaughlin, 1999. "A Bayesian VAR forecasting model for the Philadelphia Metropolitan Area," Working Papers 99-7, Federal Reserve Bank of Philadelphia.
    3. Pami Dua & Nishita Raje & Satyananda Sahoo, 2004. "Interest Rate Modeling and Forecasting in India," Occasional papers 3, Centre for Development Economics, Delhi School of Economics.
    4. Robert Litterman, 1987. "The Limits of Counter-Cyclical Monetary Policy: an Analysis Based on Optimal Control Theory and Vector Autoregressions," Annals of Economics and Statistics, GENES, issue 6-7, pages 125-160.
    5. Francisco F. R. Ramos, 1996. "Forecasting market shares using VAR and BVAR models: A comparison of their forecasting performance," Econometrics 9601003, University Library of Munich, Germany.
    6. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    7. David E. Runkle, 1988. "Why no crunch from the crash?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 12(Win), pages 2-7.
    8. Yochanan Shachmurove, 2001. "Dynamic Co-movements of Stock Indices: The Emerging Middle Eastern and the United States Markets," Penn CARESS Working Papers ddffc4204cf90a8523fb64134, Penn Economics Department.
    9. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
    10. Don H. Kim, 2008. "Challenges in macro-finance modeling," Finance and Economics Discussion Series 2008-06, Board of Governors of the Federal Reserve System (U.S.).
    11. David E. Runkle, 1990. "Bad news from a forecasting model of the U.S. economy," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 14(Fall), pages 2-10.
    12. Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Bank of Finland Research Discussion Papers 4/1991, Bank of Finland.
    13. Tom Stark, 1998. "A Bayesian vector error corrections model of the U.S. economy," Working Papers 98-12, Federal Reserve Bank of Philadelphia.
    14. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Narrow Money and the Business Cycle: Theoretical aspects and euro area evdence," Macroeconomics 0303012, University Library of Munich, Germany.
    15. Anirvan Banerji & Pami Dua & Stephen M. Miller, 2002. "Performance Evaluation of the New Connecticut Leading Employment Index Using Lead Profiles and BVAR Models," Working papers 2002-34, University of Connecticut, Department of Economics, revised Jun 2005.
    16. David E. Runkle, 1989. "The U.S. economy in 1990 and 1991: continued expansion likely," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 13(Fall), pages 19-26.
    17. Bharat Trehan, 1989. "Forecasting growth in current quarter real GNP," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 39-52.
    18. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    19. Robert B. Litterman, 1985. "How monetary policy in 1985 affects the outlook," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 9(Fall).
    20. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    21. Robert Ingenito & Bharat Trehan, 1996. "Using monthly data to predict quarterly output," Economic Review, Federal Reserve Bank of San Francisco, pages 3-11.
    22. Preston J. Miller & David E. Runkle, 1989. "The U.S. economy in 1989 and 1990: walking a fine line," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 13(Win), pages 3-10.
    23. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.
    24. Peter C.B. Phillips, 1992. "Bayes Methods for Trending Multiple Time Series with an Empirical Application to the US Economy," Cowles Foundation Discussion Papers 1025, Cowles Foundation for Research in Economics, Yale University.

  17. Robert B. Litterman & Thomas M. Supel, 1983. "Using vector autoregressions to measure the uncertainty in Minnesota's revenue forecasts," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 7(Spr).

    Cited by:

    1. Leal, Teresa & Pérez, Javier J. & Tujula, Mika & Vidal, Jean-Pierre, 2007. "Fiscal forecasting: lessons from the literature and challenges," Working Paper Series 843, European Central Bank.
    2. M. Mokliak, P. Chernov, A. Vdovychenko, A. Zubritskyi, 2015. "Spatial approach in forecasting tax revenues," Economy and Forecasting, Valeriy Heyets, issue 2, pages 7-20.
    3. Chimilila, Cyril, 2017. "Forecasting Tax Revenue and its Volatility in Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 5(01), January.
    4. Feenberg, D.R. & Gentry, W. & Gilroy, D. & Rosen, H.S., 1988. "Testing The Rationality Of State Revenue Forecasts," Papers 16, Princeton, Woodrow Wilson School - Discussion Paper.
    5. Pablo Calafiore & Gökçe Soydemir & Rahul Verma, 2010. "The Impact of Business and Consumer Sentiment on Stock Market Returns: Evidence from Brazil," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 18, Edward Elgar Publishing.
    6. Richard M. Todd, 1984. "Improving economic forecasting with Bayesian vector autoregression," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    7. Sandrine Lardic & Auguste Mpacko Priso, 1999. "Une comparaison des prévisions des experts à celles issues des modèles B VAR," Économie et Prévision, Programme National Persée, vol. 140(4), pages 161-180.
    8. Sayim, Mustafa & Rahman, Hamid, 2015. "An examination of U.S. institutional and individual investor sentiment effect on the Turkish stock market," Global Finance Journal, Elsevier, vol. 26(C), pages 1-17.
    9. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.

  18. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    See citations under working paper version above.
  19. Robert B. Litterman, 1982. "Optimal control of the money supply," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 6(Fall).
    See citations under working paper version above.
  20. Robert B. Litterman & Richard M. Todd, 1982. "As the nation's economy goes, so goes Minnesota's," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 6(Spr / Sum).

    Cited by:

    1. Robert B. Litterman, 1984. "Above-average national growth in 1985 and 1986," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    2. Hossain Amirizadeh & Richard M. Todd, 1984. "More growth ahead for Ninth District states," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

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