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

    Mentioned in:

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

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. 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.
    2. 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.
    3. Zhang, Zehua & Zhao, Ran, 2022. "Carbon emission and credit default swaps," Finance Research Letters, Elsevier, vol. 50(C).
    4. 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.
    5. 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.
    6. Hjort, Ingrid, 2016. "Potential Climate Risks in Financial Markets: A Literature Overview," Memorandum 01/2016, Oslo University, Department of Economics.
    7. Moreno-Cruz, Juan B. & Wagner, Gernot & Keith, David w., 2017. "An Economic Anatomy of Optimal Climate Policy," Working Paper Series rwp17-028, Harvard University, John F. Kennedy School of Government.
    8. Dietz, Simon & Gollier, Christian & Kessler, Louise, 2018. "The climate beta," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 258-274.
    9. 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).
    10. Williams III, Roberton C., 2016. "Environmental Taxation," RFF Working Paper Series dp-16-24, Resources for the Future.
    11. William Brock & Anastasios Xepapadeas, 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," DEOS Working Papers 1508, Athens University of Economics and Business.
    12. 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).
    13. 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).
    14. Zirek, Duygu & Unsal, Omer, 2023. "Green bonds: Do investors benefit from third-party certification?," Global Finance Journal, Elsevier, vol. 58(C).
    15. Garbarino, Nicola & Guin, Benjamin, 2021. "High water, no marks? Biased lending after extreme weather," Journal of Financial Stability, Elsevier, vol. 54(C).
    16. 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.
    17. 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.
    18. 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.
    19. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2024. "Carbon Dioxide as a Risky Asset," Climatic Change, Springer, vol. 177(5), pages 1-27, May.
    20. 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.
    21. Harrison Hong & Frank Weikai Li & Jiangmin Xu, 2016. "Climate Risks and Market Efficiency," NBER Working Papers 22890, National Bureau of Economic Research, Inc.
    22. Meissner, Thomas & Pfeiffer, Philipp, 2022. "Measuring preferences over the temporal resolution of consumption uncertainty," Journal of Economic Theory, Elsevier, vol. 200(C).
    23. 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.
    24. 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.
    25. Venturini, Alessio, 2022. "Climate change, risk factors and stock returns: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 79(C).
    26. 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.
    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. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2023. "Carbon Dioxide as a Risky Asset," CESifo Working Paper Series 10278, CESifo.
    29. 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. 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.
    2. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.

  3. Robert B. Litterman, 1985. "Forecasting with Bayesian vector autoregressions five years of experience," Working Papers 274, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Matkovskyy, Roman & Jalan, Akanksha & Dowling, Michael, 2020. "Effects of economic policy uncertainty shocks on the interdependence between Bitcoin and traditional financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 150-155.
    2. Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2018. "Effects of US Quantitative Easing on Emerging Market Economies," ADBI Working Papers 803, Asian Development Bank Institute.
    3. Pär Österholm, 2008. "Can forecasting performance be improved by considering the steady state? An application to Swedish inflation and interest rate," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 41-51.
    4. Olga Korotkikh, 2020. "A Multi-Country BVAR Model for the External Sector," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 98-112, December.
    5. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    6. Moreira, Ricardo Ramalhete, 2016. "Measuring the Monetary Policy’s Structural Credibility by the Expected Inflation Determinants: a Kalman Filter Approach for Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    7. Stelios D. Bekiros & Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2016. "Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs," Open Access publications 10197/7323, School of Economics, University College Dublin.
    8. Danny Quah & Thomas J. Sargent, 1993. "A Dynamic Index Model for Large Cross Sections," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 285-310, National Bureau of Economic Research, Inc.
    9. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    10. 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..
    11. Cuestas, Juan Carlos & Monfort, Mercedes & Ordóñez, Javier, 2024. "Have real exchange rates and competitiveness in Central and Eastern Europe fundamentally changed?," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 618-628.
    12. Rodrigo da Silva Souza & Leonardo Bornacki Mattos, 2023. "Macroeconomic effects of oil price shocks on an emerging market economy," Economic Change and Restructuring, Springer, vol. 56(2), pages 803-824, April.
    13. Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
    14. Michal Franta & Jozef Barunik & Roman Horvath & Katerina Smidkova, 2011. "Are Bayesian Fan Charts Useful for Central Banks? Uncertainty, Forecasting, and Financial Stability Stress Tests," Working Papers 2011/10, Czech National Bank.
    15. 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.
    16. Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers Series 581, Central Bank of Brazil, Research Department.
    17. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Open Access publications 10197/7588, School of Economics, University College Dublin.
    18. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    19. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
    20. Fischer, Andreas M. & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," Journal of International Money and Finance, Elsevier, vol. 113(C).
    21. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    22. Hassani, Hossein & Silva, Emmanuel Sirimal & Gupta, Rangan & Das, Sonali, 2018. "Predicting global temperature anomaly: A definitive investigation using an ensemble of twelve competing forecasting models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 121-139.
    23. Andrea Bonilla, 2014. "External vulnerabilities and economic integration. Is the Union of South American Nations a promising project ?," Working Papers halshs-00945044, HAL.
    24. Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2020. "Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 934-943, September.
    25. Ha,Jongrim & Stocker,Marc & Yilmazkuday,Hakan, 2019. "Inflation and Exchange Rate Pass-Through," Policy Research Working Paper Series 8780, The World Bank.
    26. Colin Bermingham & Antonello D’Agostino, 2014. "Understanding and forecasting aggregate and disaggregate price dynamics," Empirical Economics, Springer, vol. 46(2), pages 765-788, March.
    27. Kilian, L. & Zha, T., 1999. "Quantifying the Half-Life of Deviations from PPP: The Role of Economic Priors," Papers 99-08, Michigan - Center for Research on Economic & Social Theory.
    28. Roberta Cardani & Alessia Paccagnini & Stelios D. Bekiros, 2017. "The Effectiveness of Forward Guidance in an Estimated DSGE Model for the Euro Area: the Role of Expectations," Working Papers 201701, School of Economics, University College Dublin.
    29. 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.
    30. Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
    31. Garik A. Petrosyan & Narek N. Karapetyan & Andranik A. Margaryan & Aleksei N. Sokolov & Irina I. Yakovleva & Anton I. Votinov, 2024. "Bayesian Approach to Forecasting Aggregate Taxes of the Republic of Armenia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 51-67, June.
    32. Fausch, Jürg & Sigonius, Markus, 2018. "The impact of ECB monetary policy surprises on the German stock market," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 46-63.
    33. Antonio Pacifico, 2018. "Panel Bayesian VAR Modeling for Policy and Forecasting when dealing with confounding and latent effects," EERI Research Paper Series EERI RP 2018/15, Economics and Econometrics Research Institute (EERI), Brussels.
    34. 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.
    35. Jackson, Laura E. & Owyang, Michael T. & Zubairy, Sarah, 2018. "Debt and stabilization policy: Evidence from a Euro Area FAVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 67-91.
    36. Dedola, Luca & Rivolta, Giulia & Stracca, Livio, 2017. "If the Fed sneezes, who catches a cold?," Working Paper Series 2050, European Central Bank.
    37. Mumtaz, Haroon & Zanetti, Francesco, 2012. "Neutral technology shocks and employment dynamics: results based on an RBC identification scheme," Bank of England working papers 453, Bank of England.
    38. Демешев Борис Борисович & Малаховская Оксана Анатольевна, 2016. "Макроэкономическое Прогнозирование С Помощью Bvar Литтермана," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(4), pages 691-710.
    39. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
    40. Louzis Dimitrios P., 2016. "Steady-state priors and Bayesian variable selection in VAR forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
    41. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    42. Georgescu, Oana-Maria & Martín, Diego Vila, 2021. "Do macroprudential measures increase inequality? Evidence from the euro area household survey," Working Paper Series 2567, European Central Bank.
    43. Mr. Andrea Pescatori & Stefan Laseen, 2016. "Financial Stability and Interest-Rate Policy: A Quantitative Assessment of Costs and Benefits," IMF Working Papers 2016/073, International Monetary Fund.
    44. International Monetary Fund, 2010. "Price Dynamics in China," IMF Working Papers 2010/221, International Monetary Fund.
    45. Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.
    46. Costantini, Mauro & Crespo Cuaresma, Jesus & Hlouskova, Jaroslava, 2014. "Can Macroeconomists Get Rich Forecasting Exchange Rates?," Department of Economics Working Paper Series 176, WU Vienna University of Economics and Business.
    47. Gary Koop, 2011. "Forecasting with Medium and Large Bayesian VARs," Working Papers 1117, University of Strathclyde Business School, Department of Economics.
    48. Ehsan Ahmed & J. Rosser & Richard Sheehan, 1989. "A comparison of national and international aggregate supply and demand var models: The United States, Japan and the European economic community," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 125(2), pages 252-272, June.
    49. Berger, Helge & Österholm, Pär, 2008. "Does money matter for U.S. inflation? Evidence from Bayesian VARs," Discussion Papers 2008/9, Free University Berlin, School of Business & Economics.
    50. László Békési & Lorant Kaszab & Szabolcs Szentmihályi, 2017. "The EAGLE model for Hungary - a global perspective," MNB Working Papers 2017/7, Magyar Nemzeti Bank (Central Bank of Hungary).
    51. Ferrari Minesso, Massimo & Pagliari, Maria Sole, 2023. "No country is an island. International cooperation and climate change," Journal of International Economics, Elsevier, vol. 145(C).
    52. 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.
    53. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2007. "Evaluating An Estimated New Keynesian Small Open Economy Model," Working Paper Series 203, Sveriges Riksbank (Central Bank of Sweden).
    54. Bandyopadhyay, Subir, 2009. "A Dynamic Model of Cross-Category Competition: Theory, Tests and Applications," Journal of Retailing, Elsevier, vol. 85(4), pages 468-479.
    55. Mathilde Lebrand & Garima Vasishtha & Hakan Yilmazkuday, 2023. "Energy Price Shocks and Current Account Balances: Evidence from Emerging Market and Developing Economies," Working Papers 2305, Florida International University, Department of Economics.
    56. Steven Ongena, 1995. "Monetary policy and credit conditions: new evidence," Macroeconomics 9503001, University Library of Munich, Germany.
    57. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2016. "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1371-1391, November.
    58. PINSHI, Christian P., 2020. "COVID-19 uncertainty and monetary policy," MPRA Paper 100184, University Library of Munich, Germany.
    59. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2001. "Comparing dynamic equilibrium economies to data," FRB Atlanta Working Paper 2001-23, Federal Reserve Bank of Atlanta.
    60. Germano Ruisi, 2020. "An Assessment of the Macroeconomic Implications of Foreign and Domestic Labour Supply Shocks in Malta," CBM Working Papers WP/06/2020, Central Bank of Malta.
    61. Chew Lian Chua & Sarantis Tsiaplias, 2008. "Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption?," Melbourne Institute Working Paper Series wp2008n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    62. Bianchi, Francesco & Gómez-Cram, Roberto & Kind, Thilo & Kung, Howard, 2023. "Threats to central bank independence: High-frequency identification with twitter," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 37-54.
    63. Haldane, Andrew & Roberts-Sklar, Matt & Wieladek, Tomasz & Young, Chris, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
    64. Hovick Shahnazarian & Martin Solberger & Erik Spånberg, 2017. "Forecasting and Analysing Corporate Tax Revenues in Sweden Using Bayesian VAR Models," Finnish Economic Papers, Finnish Economic Association, vol. 28(1), pages 50-74, Autumn.
    65. Plakandaras, Vasilios & Gupta, Rangan & Papadimitriou, Theophilos & Gogas, Periklis, 2014. "Forecasting the U.S. Real House Price Index," DUTH Research Papers in Economics 10-2014, Democritus University of Thrace, Department of Economics.
    66. Florian Huber & Manfred M. Fischer, 2018. "A Markov Switching Factor‐Augmented VAR Model for Analyzing US Business Cycles and Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(3), pages 575-604, June.
    67. Joshua C. C. Chan, 2024. "BVARs and stochastic volatility," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 3, pages 43-67, Edward Elgar Publishing.
    68. Fady Barsoum, 2013. "The Effects of Monetary Policy Shocks on a Panel of Stock Market Volatilities: A Factor-Augmented Bayesian VAR Approach," Working Paper Series of the Department of Economics, University of Konstanz 2013-15, Department of Economics, University of Konstanz.
    69. Lewis N.K. Mambo, 2024. "From Multidimensional Ornstein - Uhlenbeck Process to Bayesian Vector Autoregressive Process," Journal of Mathematics Research, Canadian Center of Science and Education, vol. 15(1), pages 1-32, December.
    70. Sapci, Ayse & Miles, Bradley, 2017. "Bank Size, Returns to Scale and Cost Efficiency," Working Papers 2017-02, Department of Economics, Colgate University, revised 10 Mar 2017.
    71. Paul Crompton & Yanrui Wu, 2004. "Energy Consumption in China: Past Trends and Future Directions," Economics Discussion / Working Papers 04-22, The University of Western Australia, Department of Economics.
    72. Pami Dua & Stephen Miller, 1995. "Forecasting and Analyzing Economic Activity with Coincident and Leading Indexes: The Case of Connecticut," Working papers 1995-05, University of Connecticut, Department of Economics.
    73. Gossé, Jean-Baptiste & Guillaumin, Cyriac, 2013. "L’apport de la représentation VAR de Christopher A. Sims à la science économique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 309-319, Décembre.
    74. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    75. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
    76. Barraza, Santiago & Civelli, Andrea, 2020. "Economic policy uncertainty and the supply of business loans," Journal of Banking & Finance, Elsevier, vol. 121(C).
    77. Benjamin Born & Johannes Pfeifer, 2017. "Uncertainty-driven Business Cycles: Assessing the Markup Channel," CESifo Working Paper Series 6303, CESifo.
    78. Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," University of Göttingen Working Papers in Economics 415, University of Goettingen, Department of Economics.
    79. Österholm, Pär, 2012. "The limited usefulness of macroeconomic Bayesian VARs when estimating the probability of a US recession," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 76-86.
    80. Churm, Rohan & Joyce, Mike & Kapetanios, George & Theodoridis, Konstantinos, 2015. "Unconventional monetary policies and the macroeconomy: the impact of the United Kingdom's QE2 and Funding for Lending Scheme," Bank of England working papers 542, Bank of England.
    81. Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
    82. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2017. "The transmission of monetary policy shocks," Bank of England working papers 657, Bank of England.
    83. Meinerding, Christoph & Schüler, Yves S. & Zhang, Philipp, 2023. "Shocks to transition risk," Discussion Papers 04/2023, Deutsche Bundesbank.
    84. 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.
    85. Götz, T.B. & Hecq, A.W., 2014. "Testing for Granger causality in large mixed-frequency VARs," Research Memorandum 028, Maastricht University, Graduate School of Business and Economics (GSBE).
    86. Raju Huidrom & M. Ayhan Kose & Hideaki Matsuoka & Franziska L. Ohnsorge, 2020. "How important are spillovers from major emerging markets?," International Finance, Wiley Blackwell, vol. 23(1), pages 47-63, March.
    87. Michael Dueker & Katrin Assenmacher-Wesche, 2010. "Forecasting macro variables with a Qual VAR business cycle turning point index," Applied Economics, Taylor & Francis Journals, vol. 42(23), pages 2909-2920.
    88. Luca Pedini, 2024. "Tips and tricks for Bayesian VAR models in gretl," Computational Statistics, Springer, vol. 39(7), pages 3579-3597, December.
    89. Neely, Christopher J. & Weller, Paul, 2000. "Predictability in International Asset Returns: A Reexamination," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 601-620, December.
    90. Francis, Brian M. & Moseley, Leo & Iyare, Sunday Osaretin, 2007. "Energy consumption and projected growth in selected Caribbean countries," Energy Economics, Elsevier, vol. 29(6), pages 1224-1232, November.
    91. Gupta, Rangan & Steinbach, Rudi, 2013. "A DSGE-VAR model for forecasting key South African macroeconomic variables," Economic Modelling, Elsevier, vol. 33(C), pages 19-33.
    92. Heather Anderson & Giovanni Caggiano & Farshid Vahid & Benjamin Wong, 2020. "Sectoral employment dynamics in Australia," CAMA Working Papers 2020-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    93. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    94. Michael T. Belongia & Peter N. Ireland, 2019. "A Classical View of the Business Cycle," NBER Working Papers 26056, National Bureau of Economic Research, Inc.
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    1. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    2. Ray C. Fair & Robert J. Shiller, 1987. "Econometric Modeling as Information Aggregation," Cowles Foundation Discussion Papers 833R, Cowles Foundation for Research in Economics, Yale University, revised Jan 1988.
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    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. Richard M. Todd, 1984. "Improving economic forecasting with Bayesian vector autoregression," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

  5. Robert B. Litterman, 1984. "The costs of intermediate targeting," Working Papers 254, Federal Reserve Bank of Minneapolis.

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    1. Jean-Pierre Allegret & Alain Sand-Zantman, 2009. "Does a Monetary Union protect again shocks? An assessment of Latin American integration," Post-Print halshs-00371069, HAL.
    2. Allegret, Jean-Pierre & Sand-Zantman, Alain, 2009. "Does a Monetary Union protect against external shocks?: An assessment of Latin American integration," Journal of Policy Modeling, Elsevier, vol. 31(1), pages 102-118.
    3. Brisne J. V. Céspedes & Elcyon C. R. Lima & Alexis Maka, 2005. "Monetary Policy, Inflation and the Level of Economic Activity in Brasil After the Real Plan: Stylized Facts From SVAR Models," Discussion Papers 1101, Instituto de Pesquisa Econômica Aplicada - IPEA.
    4. 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.
    5. Jean-Pierre Allegret & Alain Sand-Zantman, 2008. "Does a Monetary Union protect again foreign shocks? An assessment of Latin American integration using a Bayesian VAR," Post-Print halshs-00269122, HAL.
    6. P. Ruben Mercado, 2001. "Macroeconomic Volatility during Argentina's Import Substitution Stage," International Review of Applied Economics, Taylor & Francis Journals, vol. 15(2), pages 151-161.

  6. Robert B. Litterman, 1984. "Specifying vector autoregressions for macroeconomic forecasting," Staff Report 92, Federal Reserve Bank of Minneapolis.

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  7. Robert B. Litterman, 1983. "A random walk, Markov model for the distribution of time series," Staff Report 84, Federal Reserve Bank of Minneapolis.

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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. Arjan Trinks & Erik Hille, 2023. "Carbon costs and industrial firm performance: Evidence from international microdata," CPB Discussion Paper 445, CPB Netherlands Bureau for Economic Policy Analysis.

  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. Stan Olijslagers & Rick van der Ploeg & Sweder van Wijnbergen, 2021. "On current and future carbon prices in a risky world," Tinbergen Institute Discussion Papers 21-045/VI, Tinbergen Institute.
    3. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2024. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," LSE Research Online Documents on Economics 124234, London School of Economics and Political Science, LSE Library.
    4. Klotz, Richard & Sharma, Rishi R., 2023. "Trade barriers and CO2," Journal of International Economics, Elsevier, vol. 141(C).
    5. 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.
    6. 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).
    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. Matteo Gasparini & Peter Tufano, 2023. "The Evolving Academic Field of Climate Finance," Harvard Business School Working Papers 23-057, Harvard Business School.
    9. Meng, Weizhen & Li, Shilin & Yang, Jinqiang, 2024. "Mitigating disaster risks caused by carbon emissions," Economics Letters, Elsevier, vol. 241(C).
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. 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).
    16. 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. 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. 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.
    2. 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.
    3. 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.

  4. 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.

    Cited by:

    1. 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.
    2. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2005. "New-Keynesian Macroeconomics and the Term Structure," NBER Working Papers 11340, National Bureau of Economic Research, Inc.
    3. Heidari, Massoud & Wu, Liuren, 2009. "A Joint Framework for Consistently Pricing Interest Rates and Interest Rate Derivatives," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(3), pages 517-550, June.
    4. Liuren Wu & Frank X. Zhang, 2005. "A no-arbitrage analysis of economic determinants of the credit spread term structure," Finance and Economics Discussion Series 2005-59, Board of Governors of the Federal Reserve System (U.S.).
    5. Ventura Bravo, Jorge Miguel & Pereira da Silva, Carlos Manuel, 2006. "Immunization using a stochastic-process independent multi-factor model: The Portuguese experience," Journal of Banking & Finance, Elsevier, vol. 30(1), pages 133-156, January.
    6. 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.
    7. Niffikeer, Cindy I. & Hewins, Robin D. & Flavell, Richard B., 2000. "A synthetic factor approach to the estimation of value-at-risk of a portfolio of interest rate swaps," Journal of Banking & Finance, Elsevier, vol. 24(12), pages 1903-1932, December.
    8. 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.
    9. 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.
    10. Tao Wu, 2001. "Macro factors and the affine term structure of interest rates," Working Paper Series 2002-06, Federal Reserve Bank of San Francisco.
    11. Takamizawa, Hideyuki & 高見澤, 秀幸 & Shoji, Isao & 庄司, 功, 2007. "Modeling the Term Structure of Interest Rates with General Diffusion Processes: A Moment Approximation Approach," Discussion Papers 2006-05, Graduate School of Economics, Hitotsubashi University.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Jagjit Chadha & Sean Holly, 2006. "Macroeconomic Models and the Yield Curve," Computing in Economics and Finance 2006 105, Society for Computational Economics.
    17. Markus Leippold & Liuren Wu, 2002. "Design and Estimation of Quadratic Term Structure Models," Finance 0207014, University Library of Munich, Germany.
    18. C. Emre Alper & K. Kazimov & A. Akdemir, 2007. "Forecasting the term structure of interest rates for Turkey: a factor analysis approach," Applied Financial Economics, Taylor & Francis Journals, vol. 17(1), pages 77-85.
    19. Hans Dewachter & Marco Lyrio, 2002. "Macro Factors and the Term Structure of Interest Rates," International Economics Working Papers Series wpie007, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, International Economics.
    20. Chadha, Jagjit S. & Waters, Alex, 2014. "Applying a macro-finance yield curve to UK quantitative Easing," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 68-86.
    21. 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).
    22. Lorenzo Boldrini & Eric Hillebrand, 2015. "The Forecasting Power of the Yield Curve, a Supervised Factor Model Approach," CREATES Research Papers 2015-39, Department of Economics and Business Economics, Aarhus University.
    23. Christophe PÉRIGNON & Christophe VILLA, 2002. "Permanent and Transitory Factors Affecting the Dynamics of the Term Structure of Interest Rates," FAME Research Paper Series rp53, International Center for Financial Asset Management and Engineering.
    24. Warren Bailey & Lin Zheng, 2013. "Banks, Bears, and the Financial Crisis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 1-51, August.
    25. 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.
    26. Sensarma, Rudra & Bhattacharyya, Indranil, 2015. "Measuring monetary policy and its impact on the bond market of an emerging economy," MPRA Paper 81067, University Library of Munich, Germany.
    27. Jun Liu & Francis A. Longstaff & Ravit E. Mandell, 2006. "The Market Price of Risk in Interest Rate Swaps: The Roles of Default and Liquidity Risks," The Journal of Business, University of Chicago Press, vol. 79(5), pages 2337-2360, September.
    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. 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.
    30. Andre Kurmann & Christopher Otrok, 2012. "News shocks and the slope of the term structure of interest rates," Working Papers 2012-011, Federal Reserve Bank of St. Louis.
    31. Arthur Charpentier & Christophe Villa, 2010. "Generating Yield Curve Stress-Scenarios," Working Papers hal-00550582, HAL.
    32. Konstantinos Drakos, 2004. "A Note on Sector, Rating, and Maturity Effects on Risk Premia," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(3), pages 201-216, December.
    33. Driessen, Joost & Klaassen, Pieter & Melenberg, Bertrand, 2003. "The Performance of Multi-Factor Term Structure Models for Pricing and Hedging Caps and Swaptions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(3), pages 635-672, September.
    34. Andrea Roncoroni & Stefano Galluccio & Paolo Guiotto, 2010. "Shape factors and cross-sectional risk," Post-Print hal-00736733, HAL.
    35. 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.
    36. Ken B. Cyree & James T. Lindley & Drew B. Winters, 2007. "The Effect of Substitute Assets on Yields in Financial Markets," Financial Management, Financial Management Association International, vol. 36(1), pages 27-47, March.
    37. Korniotis, George & Bhambhwani, Siddharth & Delikouras, Stefanos, 2019. "Blockchain Characteristics and the Cross-Section of Cryptocurrency Returns," CEPR Discussion Papers 13724, C.E.P.R. Discussion Papers.
    38. 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.
    39. 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.
    40. Marcello Pericoli & Marco Taboga, 2008. "Canonical Term‐Structure Models with Observable Factors and the Dynamics of Bond Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1471-1488, October.
    41. 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.
    42. Huij, Joop & Derwall, Jeroen, 2008. ""Hot Hands" in bond funds," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 559-572, April.
    43. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    44. Severine Cauchie & Martin Hoesli, 2004. "The integration of securitized real estate and financial assets," ERES eres2004_574, European Real Estate Society (ERES).
    45. 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.
    46. Jun Liu & Francis A. Longstaff & Ravit E. Mandell, 2002. "The Market Price of Credit Risk: An Empirical Analysis of Interest Rate Swap Spreads," NBER Working Papers 8990, National Bureau of Economic Research, Inc.
    47. 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.
    48. 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.
    49. Blaskowitz, Oliver J. & Herwartz, Helmut & Cadenas Santiago, Gonzalo de, 2005. "Modeling the FIBOR/EURIBOR swap term structure: An empirical approach," SFB 649 Discussion Papers 2005-024, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    50. Abdul Wahab, Nor Shaipah & Ntim, Collins G. & Tye, Wei Ling & Shakil, Mohammad Hassan, 2022. "Book-tax differences and risk: Does shareholder activism matter?," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 48(C).
    51. 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.
    52. Robert R. Bliss, 1997. "Movements in the term structure of interest rates," Economic Review, Federal Reserve Bank of Atlanta, vol. 82(Q 4), pages 16-33.
    53. 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.
    54. David Bolder & Grahame Johnson & Adam Metzler, 2004. "An Empirical Analysis of the Canadian Term Structure of Zero-Coupon Interest Rates," Staff Working Papers 04-48, Bank of Canada.
    55. 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.
    56. Laruent Barras, 2005. "International Conditional Asset Allocation under Real Time Uncertrainty," FAME Research Paper Series rp153, International Center for Financial Asset Management and Engineering.
    57. Johan Hagenbjörk & Jörgen Blomvall, 2019. "Simulation and evaluation of the distribution of interest rate risk," Computational Management Science, Springer, vol. 16(1), pages 297-327, February.
    58. Jorge Miguel Ventura Bravo & Carlos Manuel Pereira da Silva, 2005. "Immunization Using a Parametric Model of the Term Structure," Economics Working Papers 19_2005, University of Évora, Department of Economics (Portugal).
    59. Chauvet, Marcelle & Senyuz, Zeynep, 2008. "A Joint Dynamic Bi-Factor Model of the Yield Curve and the Economy as a Predictor of Business Cycles," MPRA Paper 15076, University Library of Munich, Germany, revised Apr 2009.
    60. Michael R. Wickens & Chiona Balfoussia, 2004. "Macroeconomic Sources of Risk in the Term Structure," CEIS Research Paper 61, Tor Vergata University, CEIS.
    61. Abad, Pilar & Novales, Alfonso, 2005. "An error correction factor model of term structure slopes in international swap markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(3), pages 229-254, July.
    62. 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.
    63. Charles Cao & Jing-Zhi Huang, 2007. "Determinants of S&P 500 index option returns," Review of Derivatives Research, Springer, vol. 10(1), pages 1-38, January.
    64. Chadwick, Meltem, 2010. "Modelling Time-varying Bond Risk Premia for Utilities Industry," MPRA Paper 75840, University Library of Munich, Germany.
    65. Pierre Collin‐Dufresne & Robert S. Goldstein, 2002. "Do Bonds Span the Fixed Income Markets? Theory and Evidence for Unspanned Stochastic Volatility," Journal of Finance, American Finance Association, vol. 57(4), pages 1685-1730, August.
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    67. Galluccio, Stefano & Roncoroni, Andrea, 2006. "A new measure of cross-sectional risk and its empirical implications for portfolio risk management," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2387-2408, August.
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    Cited by:

    1. 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.
    2. 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.
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    4. 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.
    5. Alain Kabundi & Rangan Gupta, 2009. "A Large Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 137, Economic Research Southern Africa.
    6. 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.
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    10. 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.
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  8. 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. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
    2. 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.
    3. Giacomini, Raffaella & Ragusa, Giuseppe, 2011. "Incorporating theoretical restrictions into forecasting by projection methods," CEPR Discussion Papers 8604, C.E.P.R. Discussion Papers.
    4. 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.
    5. Alain Kabundi & Rangan Gupta, 2009. "A Large Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 137, Economic Research Southern Africa.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    11. Hugo Morão, 2024. "The impact of carbon policy news on the national energy industry," Working Papers REM 2024/0321, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
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    14. Doojav, Gan-Ochir, 2021. "Macroeconomic modeling for optimal stabilization policy in Mongolia," MPRA Paper 111206, University Library of Munich, Germany.
    15. 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.
    16. 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.
    17. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    18. 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.
    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. 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.
    21. 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.
    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. 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.
    24. 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.
    25. 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.
    26. 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.
    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.

  9. 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.
  10. 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. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    2. Christopher A. Sims, 1992. "A Nine Variable Probabilistic Macroeconomic Forecasting Model," Cowles Foundation Discussion Papers 1034, Cowles Foundation for Research in Economics, Yale University.
    3. 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.
    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.

  11. 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. 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.
    3. Bjørnar Karlsen Kivedal, 2013. "A New Keynesian Framework and Wage and Price Dynamics in the US," Working Paper Series 15113, Department of Economics, Norwegian University of Science and Technology.

  12. 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.
  13. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
    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. 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.
    22. Raputsoane, Leroi, 2018. "Targeting financial stress as opposed to the exchange rate," MPRA Paper 84865, University Library of Munich, Germany.
    23. 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.
    24. Bentour, El Mostafa, 2015. "A ranking of VAR and structural models in forecasting," MPRA Paper 61502, University Library of Munich, Germany.
    25. Raputsoane, Leroi, 2018. "Monetary policy reaction function pre and post the global financial crisis," MPRA Paper 84866, University Library of Munich, Germany.
    26. 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.
    27. 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.
    28. 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.
    29. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.
    30. 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.

  14. 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. 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.
    2. Pami Dua & Stephen Miller, 1995. "Forecasting and Analyzing Economic Activity with Coincident and Leading Indexes: The Case of Connecticut," Working papers 1995-05, University of Connecticut, Department of Economics.
    3. 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.
    4. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
    5. 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.
    6. 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.).
    7. Pami Dua & Anirvan Banerji & Stephen M. Miller, 2006. "Performance evaluation of the New Connecticut Leading Employment Index using lead profiles and BVAR models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 415-437.
    8. Bharat Trehan, 1989. "Forecasting growth in current quarter real GNP," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 39-52.
    9. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    10. 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.
    11. 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.
    12. Robert B. Litterman, 1985. "How monetary policy in 1985 affects the outlook," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 9(Fall).
    13. 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.
    14. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    15. 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.
    16. Robert Ingenito & Bharat Trehan, 1996. "Using monthly data to predict quarterly output," Economic Review, Federal Reserve Bank of San Francisco, pages 3-11.
    17. 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.
    18. Pami Dua, 2008. "Interest Rate Modeling and Forecasting in India," Working Papers id:1521, eSocialSciences.
    19. Pami Dua & Stephen M. Miller & David J. Smyth, 1996. "Using Leading Indicators to Forecast US Home Sales in a Bayesian VAR Framework," Working papers 1996-08, University of Connecticut, Department of Economics.
    20. 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.
    21. Tom Stark, 1998. "A Bayesian vector error corrections model of the U.S. economy," Working Papers 98-12, Federal Reserve Bank of Philadelphia.
    22. 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.
    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. 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.
    25. 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.
    26. David E. Runkle, 1988. "Why no crunch from the crash?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 12(Win), pages 2-7.

  15. 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. Daniel R. Feenberg & William Gentry & David Gilroy & Harvey S. Rosen, 1988. "Testing the Rationality of State Revenue Forecasts," NBER Working Papers 2628, National Bureau of Economic Research, Inc.
    2. 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.
    3. 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.
    4. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    5. Chimilila, Cyril, 2017. "Forecasting Tax Revenue and its Volatility in Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 5(1), January.
    6. 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.
    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. Richard M. Todd, 1984. "Improving economic forecasting with Bayesian vector autoregression," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    9. 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.

  16. 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.
  17. 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.
  18. 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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