IDEAS home Printed from https://ideas.repec.org/f/c/pcr288.html
   My authors  Follow this author

Jamie Lee Cross

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.

Working papers

  1. Knut Are Aastveit & Jamie L. Cross & Francesco Furlanetto & Herman K. Van Dijk, 2024. "Taylor Rules with Endogenous Regimes," Working Papers No 04/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Jamie Cross & Lennart Hoogerheide & Herman van Dijk, 2024. "Time-Varying Factor Model Components for Effective Momentum Strategy," Tinbergen Institute Discussion Papers 24-068/III, Tinbergen Institute.

  2. Øistein Røisland & Tommy Sveen & Ragnar Torvik, 2023. "The interplay between monetary and fiscal policy in a small open economy," Working Papers No 07/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Ravazzolo, Francesco & Rossini, Luca, 2023. "Is the Price Cap for Gas Useful? Evidence from European Countries," FEEM Working Papers 338790, Fondazione Eni Enrico Mattei (FEEM).
    2. Andrea Gazzani & Marco Taboga, 2024. "Carbon pricing in the EU: fundamentals or market sentiment?," Questioni di Economia e Finanza (Occasional Papers) 901, Bank of Italy, Economic Research and International Relations Area.
    3. Andrea Bastianin & Elisabetta Mirto & Yan Qin & Luca Rossini, 2024. "What drives the European carbon market? Macroeconomic factors and forecasts," Working Papers 2024.02, Fondazione Eni Enrico Mattei.

  3. Yoosoon Chang & Ana María Herrera & Elena Pesavento, 2023. "Oil Prices Uncertainty, Endogenous Regime Switching, and Inflation Anchoring," Working Papers No 02/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Yoosoon Chang & Fabio Gomez-Rodriguez & Christian Matthes, 2023. "The Influence of Fiscal and Monetary Policies on the Shape of the Yield Curve," CAMA Working Papers 2023-65, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Minsu Chang & Frank Schorfheide, 2024. "On the Effects of Monetary Policy Shocks on Income and Consumption Heterogeneity," PIER Working Paper Archive 24-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Hwang, Inwook & Zhu, Xiaoyang, 2024. "State-dependent oil price shocks on inflation and the efficacy of inflation targeting regime," Journal of International Money and Finance, Elsevier, vol. 144(C).
    4. Li, Leon & Miu, Peter, 2024. "Diversifying crude oil price risk with crude oil volatility index: The role of volatility-of-volatility," Journal of Commodity Markets, Elsevier, vol. 36(C).
    5. Christina Anderl & Guglielmo Maria Caporale, 2023. "Shipping Cost Uncertainty, Endogenous Regime Switching and the Global Drivers of Inflation," CESifo Working Paper Series 10798, CESifo.
    6. Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAMA Working Papers 2024-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

  4. Nalan Basturk & Jamie Cross & Peter de Knijff & Lennart Hoogerheide & Paul Labonne & Herman K van Dijk, 2023. "BayesMultiMode: Bayesian Mode Inference in R," Tinbergen Institute Discussion Papers 23-041/III, Tinbergen Institute.

    Cited by:

    1. van Dijk Herman K., 2024. "Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 155-176, April.

  5. Hilde C. Bjørnland & Yoosoon Chang & Jamie L. Cross, 2023. "Oil and the Stock Market Revisited: A mixed functional VAR approach," Working Papers No 03/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Yoosoon Chang & Fabio Gomez-Rodriguez & Christian Matthes, 2023. "The Influence of Fiscal and Monetary Policies on the Shape of the Yield Curve," CAMA Working Papers 2023-65, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Minsu Chang & Frank Schorfheide, 2024. "On the Effects of Monetary Policy Shocks on Income and Consumption Heterogeneity," PIER Working Paper Archive 24-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAMA Working Papers 2024-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Won-Ki Seo & Dakyung Seong, 2025. "Functional Linear Projection and Impulse Response Analysis," Papers 2503.08364, arXiv.org, revised Apr 2025.

  6. Hilde C. Bjørnland & Jamie L. Cross & Felix Kapfhammer, 2023. "The Drivers of Emission Reductions in the European Carbon Market," Working Papers No 08/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Andrea Gazzani & Marco Taboga, 2024. "Carbon pricing in the EU: fundamentals or market sentiment?," Questioni di Economia e Finanza (Occasional Papers) 901, Bank of Italy, Economic Research and International Relations Area.
    2. Yi Fang & Qirui Tang & Yanru Wang, 2024. "Geopolitical Risk and Cryptocurrency Market Volatility," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(14), pages 3254-3270, November.

  7. Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "A Bayesian DSGE Approach to Modelling Cryptocurrency," Working Papers No 09/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Nicolas Groshenny & Naveed Javed, 2023. "Dornbusch s overshooting and the systematic component of monetary policy in SOE-SVARs," TEPP Working Paper 2023-08, TEPP.
    2. Yi Fang & Qirui Tang & Yanru Wang, 2024. "Geopolitical Risk and Cryptocurrency Market Volatility," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(14), pages 3254-3270, November.

  8. Jamie L. Cross & Lennart Hoogerheide & Paul Labonne & Herman K. van Dijk, 2023. "Bayesian Mode Inference for Discrete Distributions in Economics and Finance," Working Papers No 11/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Knut Are Aastveit & Jamie Cross & Francesco Furlanetto & Herman K. Van Dijk, 2024. "Taylor Rules with Endogenous Regimes," Tinbergen Institute Discussion Papers 24-030/III, Tinbergen Institute.
    2. Yoosoon Chang & Steven N. Durlauf & Bo Hu & Joon Y. Park, 2024. "Accounting for Individual-Specific Heterogeneity in Intergenerational Income Mobility," Working Papers No 03/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    3. Knut Are Aastveit & Jamie Cross & Francesco Furlanetto & Herman K van Dijk, 2024. "Asymmetric Gradualism in US Monetary Policy," Tinbergen Institute Discussion Papers 24-074/III, Tinbergen Institute.

  9. Knut Are Aastveit & Jamie L. Cross & Herman K. van Dijk, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Paper 2021/3, Norges Bank.

    Cited by:

    1. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    2. van Dijk Herman K., 2024. "Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 155-176, April.
    3. Jamie Cross & Lennart Hoogerheide & Herman van Dijk, 2024. "Time-Varying Factor Model Components for Effective Momentum Strategy," Tinbergen Institute Discussion Papers 24-068/III, Tinbergen Institute.
    4. Tony Chernis & Gary Koop & Emily Tallman & Mike West, 2024. "Decision synthesis in monetary policy," Papers 2406.03321, arXiv.org, revised Feb 2025.
    5. Zhang, Bo & Nguyen, Bao H. & Sun, Chuanwang, 2024. "Forecasting oil prices: Can large BVARs help?," Energy Economics, Elsevier, vol. 137(C).
    6. Abdullah S. Al-Jawarneh & Ahmed R. M. Alsayed & Heba N. Ayyoub & Mohd Tahir Ismail & Siok Kun Sek & Kivanç Halil Ariç & Giancarlo Manzi, 2024. "Enhancing Model Selection by Obtaining Optimal Tuning Parameters in Elastic-Net Quantile Regression, Application to Crude Oil Prices," JRFM, MDPI, vol. 17(8), pages 1-19, July.

  10. Jamie L. Cross & Chenghan Hou & Gary Koop, 2021. "Macroeconomic Forecasting with Large Stochastic Volatility in Mean VARs," Working Papers No 04/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Matteo Iacopini & Francesco Ravazzolo & Luca Rossini, 2022. "Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications," Papers 2211.16121, arXiv.org, revised Aug 2024.
    2. Rub'en Loaiza-Maya & Didier Nibbering, 2022. "Efficient variational approximations for state space models," Papers 2210.11010, arXiv.org, revised Jun 2023.

  11. Jamie L. Cross & Bao H. Nguyen & Trung Duc Tran, 2021. "The Role of Precautionary and Speculative Demand in the Global Market for Crude Oil," Working Papers No 06/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Lutz Kilian, 2019. "Facts and Fiction in Oil Market Modeling," CESifo Working Paper Series 7902, CESifo.
    2. Valérie Mignon & Yifei Cai & Jamel Saadaoui, 2022. "Not all political relation shocks are alike: Assessing the impacts of US-China tensions on the oil market," EconomiX Working Papers 2022-19, University of Paris Nanterre, EconomiX.
    3. Valérie Mignon & Jamel Saadaoui, 2023. "Asymmetries in the oil market: Accounting for the growing role of China through quantile regressions," Post-Print hal-04435770, HAL.
    4. Kilian, Lutz & Inoue, Atsushi, 2020. "The Role of the Prior in Estimating VAR Models with Sign Restrictions," CEPR Discussion Papers 15545, C.E.P.R. Discussion Papers.
    5. Li, Chenchen & Wang, Yudong & Wu, Chongfeng, 2022. "Oil implied volatility and expected stock returns along the worldwide supply chain," Energy Economics, Elsevier, vol. 114(C).
    6. Aktham Maghyereh & Hussein Abdoh, 2024. "Oil price uncertainly and sovereign credit risk in GCC countries: fresh evidence," International Economics and Economic Policy, Springer, vol. 21(2), pages 457-482, May.
    7. Yoosoon Chang & Ana Maria Herrera & Elena Pesavento, 2023. "Oil Prices Uncertainty, Endogenous Regime Switching, and Inflation Anchoring," CAMA Working Papers 2023-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Sun, Yiguo & Li, Delong & Suo, Chenyi & Wang, Yu, 2023. "A threshold effect of COVID-19 risk on oil price returns," Energy Economics, Elsevier, vol. 120(C).
    9. Hilde C. Bjornland & Yoosoon Chang & Jamie L. Cross, 2024. "Oil and the Stock Market Revisited: A Mixed Functional VAR Approach," CAEPR Working Papers 2023-005 Classification-1, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    10. Brignone, Davide & Gambetti, Luca & Ricci, Martino, 2025. "Geopolitical risk shocks: when size matters," Bank of England working papers 1118, Bank of England.
    11. Abiad, Abdul & Qureshi, Irfan A., 2023. "The macroeconomic effects of oil price uncertainty," Energy Economics, Elsevier, vol. 125(C).
    12. Cai, Yifei & Li, Xiangdong & Zhang, Yahua, 2024. "Oil market responses to Sino–European political relation shock: Insights after China's world trade organization accession," Economic Modelling, Elsevier, vol. 141(C).
    13. Brignone, Davide & Gambetti, Luca & Ricci, Martino, 2024. "Geopolitical risk shocks: when size matters," Working Paper Series 2972, European Central Bank.
    14. Li, Leon & Miu, Peter, 2024. "Diversifying crude oil price risk with crude oil volatility index: The role of volatility-of-volatility," Journal of Commodity Markets, Elsevier, vol. 36(C).
    15. Kilian, Lutz, 2022. "Understanding the estimation of oil demand and oil supply elasticities," Energy Economics, Elsevier, vol. 107(C).
    16. Lutz Kilian & Xiaoqing Zhou, 2019. "Oil prices, exchange rates, and interest rates," 2019 Meeting Papers 592, Society for Economic Dynamics.
    17. Atsushi Inoue & Lutz Kilian, 2020. "Joint Bayesian Inference about Impulse Responses in VAR Models," Working Papers 2022, Federal Reserve Bank of Dallas.
    18. Kilian, Lutz & Zhou, Xiaoqing, 2020. "Does drawing down the U.S. strategic petroleum reserve help stabilize oil prices?," CFS Working Paper Series 647, Center for Financial Studies (CFS).
    19. Rıdvan Karacan & Mehmet Emin Yardımcı, 2024. "Free market economy: Is the market or prices free? Theory and evidence from the United States," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(1), pages 59-74, January.
    20. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Bouri, Elie, 2024. "Energy-related uncertainty and international stock market volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 280-293.
    21. Liu, Xinheng & Pan, Sishi & Li, Shuxian & Yang, Xin & Huang, Chuangxia, 2024. "Unraveling the causal impact: Oil price uncertainty on firms’ productivity in China," Resources Policy, Elsevier, vol. 96(C).
    22. Yu, Yue & Wang, Jianzhou & Jiang, He & Lu, Haiyan, 2025. "How to manage a multifactor-driven crude oil market more effectively? A revisit based on the multiple criteria perspective," Resources Policy, Elsevier, vol. 100(C).
    23. Kilian, Lutz, 2023. "How to Construct Monthly VAR Proxies Based on Daily Futures Market Surprises," CEPR Discussion Papers 18348, C.E.P.R. Discussion Papers.
    24. Xie, Qichang & Tang, Guoqiang, 2022. "Do market conditions interfere with the transmission of uncertainty from oil market to stock market? Evidence from a modified quantile-on-quantile approach," Energy Economics, Elsevier, vol. 114(C).
    25. De, Kuhelika & Compton, Ryan A. & Giedeman, Daniel C., 2022. "Oil shocks and the U.S. economy in a data-rich model," Economic Modelling, Elsevier, vol. 108(C).
    26. Kilian, Lutz, 2024. "How to construct monthly VAR proxies based on daily surprises in futures markets," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    27. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    28. Hu, Guoheng & Liu, Shan & Wu, Guo & Hu, Peng & Li, Ruiqi & Chen, Liujie, 2023. "Economic policy uncertainty, geopolitical risks, and the heterogeneity of commodity price fluctuations in China ——an empirical study based on TVP-SV-VAR model," Resources Policy, Elsevier, vol. 85(PA).
    29. Dudda, Tom L. & Klein, Tony & Nguyen, Duc Khuong & Walther, Thomas, 2022. "Common Drivers of Commodity Futures?," QBS Working Paper Series 2022/05, Queen's University Belfast, Queen's Business School.
    30. Braun, Robin & Brüggemann, Ralf, 2022. "Identification of SVAR models by combining sign restrictions with external instruments," Bank of England working papers 961, Bank of England.

  12. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross, 2020. "Inflation expectations and the pass-through of oil prices," Working Paper 2020/5, Norges Bank.

    Cited by:

    1. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross & Helene Olsen, 2024. "Unveiling inflation: Oil Shocks, Supply Chain Pressures, and Expectations," Working Papers No 05/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Aidala, Felix & Armantier, Olivier & Koşar, Gizem & Somerville, Jason & Topa, Giorgio & van der Klaauw, Wilbert, 2024. "Gasoline price changes and consumer inflation expectations: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 66-80.
    3. Kilian, Lutz & Zhou, Xiaoqing, 2023. "Oil Price Shocks and Inflation," CEPR Discussion Papers 18416, C.E.P.R. Discussion Papers.
    4. Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2024. "Energy shocks in the Euro area: Disentangling the pass-through from oil and gas prices to inflation," Journal of International Money and Finance, Elsevier, vol. 147(C).
    5. Luis Brandao-Marques & Marco Casiraghi & Gaston Gelos & Olamide Harrison & Güneş Kamber, 2023. "Is high debt constraining monetary policy? Evidence from inflation expectations," BIS Working Papers 1141, Bank for International Settlements.
    6. Jochen Güntner & Johannes Henßler, 2021. "Ease on the Cannons, Tighten on the Trumpets: Geopolitical Risk and the Transmission of Monetary Policy Shocks," Economics working papers 2021-09, Department of Economics, Johannes Kepler University Linz, Austria.
    7. Gökhan Ider & Alexander Kriwoluzky & Frederik Kurcz & Ben Schumann, 2024. "Friend, Not Foe - Energy Prices and European Monetary Policy," Discussion Papers of DIW Berlin 2089, DIW Berlin, German Institute for Economic Research.
    8. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    9. Cheikh, Nidhaleddine Ben & Zaied, Younes Ben & Mattoussi, Wided, 2023. "Oil price shocks in the age of surging inflation," Energy Economics, Elsevier, vol. 128(C).
    10. Lee, Seojin & Kim, Young Min, 2025. "The inflationary impact of oil price shock in Korea: The role of inflation expectations," Journal of Asian Economics, Elsevier, vol. 96(C).
    11. Wehrhöfer, Nils, 2023. "Energy prices and inflation expectations: Evidence from households and firms," Discussion Papers 28/2023, Deutsche Bundesbank.
    12. Bobeica, Elena & Ciccarelli, Matteo & Vansteenkiste, Isabel, 2021. "The changing link between labor cost and price inflation in the United States," Working Paper Series 2583, European Central Bank.
    13. Marwa Elsherif, 2024. "Modelling Inflation Dynamics and Global Oil Price Shocks in OAPEC Countries: TVP-VAR," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 51-69, May.
    14. Güntner, Jochen & Öhlinger, Peter, 2022. "Oil price shocks and the hedging benefit of airline investments," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    15. Baumeister, Christiane, 2023. "Pandemic, War, Inflation: Oil Markets at a Crossroads?," CEPR Discussion Papers 18347, C.E.P.R. Discussion Papers.
    16. Silva, Alvaro & Caraiani, Petre & Miranda-Pinto, Jorge & Olaya-Agudelo, Juan, 2024. "Commodity prices and production networks in small open economies," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    17. An, Zidong & Sheng, Xuguang Simon & Zheng, Xinye, 2023. "What is the role of perceived oil price shocks in inflation expectations?," Energy Economics, Elsevier, vol. 126(C).
    18. Çakır, Metin & Pérez, Ana M. & Arita, Shawn & Cooper, Joseph & Nemec Boehm, Rebecca, 2024. "Perspectives on high U.S. retail food prices during 2020–2022," Food Policy, Elsevier, vol. 129(C).
    19. Harrison, Andre & Liu, Xiaochun & Stewart, Shamar L., 2024. "Are exchange rates absorbers of global oil shocks? A generalized structural analysis," Journal of International Money and Finance, Elsevier, vol. 146(C).
    20. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    21. Boeck, Maximilian & Zörner, Thomas O., 2025. "Natural gas prices, inflation expectations, and the pass-through to euro area inflation," Energy Economics, Elsevier, vol. 141(C).
    22. Vatsa, Puneet & Pino, Gabriel, 2024. "Do petrol prices affect inflation and inflation expectations? Evidence from New Zealand," Energy Economics, Elsevier, vol. 139(C).
    23. Sohei Kaihatsu & Shogo Nakano & Hiroki Yamamoto, 2024. "Macroeconomic Impact of Shifts in Long-term Inflation Expectations," Bank of Japan Working Paper Series 24-E-18, Bank of Japan.

  13. Jamie L. Cross & Chenghan Hou & Aubrey Poon, 2018. "International transmissions of aggregate macroeconomic uncertainty in small open economies: An empirical approach," CAMA Working Papers 2018-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2019. "Assessing International Commonality in Macroeconomic Uncertainty and Its Effects," Working Papers 18-03R, Federal Reserve Bank of Cleveland.
    2. Samuel F. Onipede & Nafiu A. Bashir & Jamaladeen Abubakar, 2023. "Small open economies and external shocks: an application of Bayesian global vector autoregression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1673-1699, April.
    3. Jaromir Baxa & Tomas Sestorad, 2024. "Economic Policy Uncertainty in Europe: Spillovers and Common Shocks," Working Papers IES 2024/34, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2024.
    4. Juan M. Londono & Sai Ma & Beth Anne Wilson, 2021. "The Global Transmission of Real Economic Uncertainty," International Finance Discussion Papers 1317, Board of Governors of the Federal Reserve System (U.S.).

  14. Bo Zhang & Joshua C.C. Chan & Jamie L. Cross, 2018. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," CAMA Working Papers 2018-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Matteo Mogliani & Anna Simoni, 2024. "Bayesian Bi-level Sparse Group Regressions for Macroeconomic Density Forecasting," Papers 2404.02671, arXiv.org, revised Nov 2024.
    2. William Chen & Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What’s Up with the Phillips Curve?," Liberty Street Economics 20200918a, Federal Reserve Bank of New York.
    3. Bo Zhang & Jamie Cross & Na Guo, 2020. "Time-Varying Trend Models for Forecasting Inflation in Australia," Working Papers No 09/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Zhang, Bo & Nguyen, Bao H., 2020. "Real-time forecasting of the Australian macroeconomy using Bayesian VARs," Working Papers 2020-12, University of Tasmania, Tasmanian School of Business and Economics.
    5. Chenghan Hou & Bao Nguyen & Bo Zhang, 2023. "Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 418-451, March.
    6. Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023. "High-dimensional conditionally Gaussian state space models with missing data," Journal of Econometrics, Elsevier, vol. 236(1).
    7. Boriss Siliverstovs, 2020. "Assessing nowcast accuracy of US GDP growth in real time: the role of booms and busts," Empirical Economics, Springer, vol. 58(1), pages 7-27, January.
    8. Arango-Castillo, Lenin & Orraca, María José & Molina, G. Stefano, 2023. "The global component of headline and core inflation in emerging market economies and its ability to improve forecasting performance," Economic Modelling, Elsevier, vol. 120(C).
    9. Jihyun Park & Andrey Sarantsev, 2024. "The VIX as Stochastic Volatility for Corporate Bonds," Papers 2410.22498, arXiv.org, revised Jan 2025.
    10. Jamie L. Cross & Chenghan Hou & Gary Koop, 2021. "Macroeconomic Forecasting with Large Stochastic Volatility in Mean VARs," Working Papers No 04/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    11. Yuntong Liu & Yu Wei & Yi Liu & Wenjuan Li, 2020. "Forecasting Oil Price by Hierarchical Shrinkage in Dynamic Parameter Models," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-12, December.

  15. Jamie L. Cross & Chenghan Hou & Aubrey Poon, 2018. "International Transmission of Macroeconomic Uncertainty in Small Open Economies: An Empirical Approach," Working Papers No 12/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2019. "Assessing International Commonality in Macroeconomic Uncertainty and Its Effects," Working Papers 18-03R, Federal Reserve Bank of Cleveland.
    2. Samuel F. Onipede & Nafiu A. Bashir & Jamaladeen Abubakar, 2023. "Small open economies and external shocks: an application of Bayesian global vector autoregression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1673-1699, April.
    3. Juan M. Londono & Sai Ma & Beth Anne Wilson, 2021. "The Global Transmission of Real Economic Uncertainty," International Finance Discussion Papers 1317, Board of Governors of the Federal Reserve System (U.S.).

Articles

  1. Cross, Jamie L. & Hoogerheide, Lennart & Labonne, Paul & van Dijk, Herman K., 2024. "Bayesian mode inference for discrete distributions in economics and finance," Economics Letters, Elsevier, vol. 235(C).
    See citations under working paper version above.
  2. Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).

    Cited by:

    1. 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.
    2. Daichi Hiraki & Siddhartha Chib & Yasuhiro Omori, 2024. "Stochastic Volatility in Mean: Efficient Analysis by a Generalized Mixture Sampler," Papers 2404.13986, arXiv.org, revised Nov 2024.

  3. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross, 2023. "Inflation Expectations and the Pass-Through of Oil Prices," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 733-743, May.
    See citations under working paper version above.
  4. Knut Are Aastveit & Jamie L. Cross & Herman K. van Dijk, 2023. "Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 523-537, April.
    See citations under working paper version above.
  5. Jamie L. Cross & Bao H. Nguyen & Trung Duc Tran, 2022. "The role of precautionary and speculative demand in the global market for crude oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 882-895, August.
    See citations under working paper version above.
  6. Cross, Jamie L. & Hou, Chenghan & Trinh, Kelly, 2021. "Returns, volatility and the cryptocurrency bubble of 2017–18," Economic Modelling, Elsevier, vol. 104(C).

    Cited by:

    1. Pham, Linh & Huynh, Toan Luu Duc & Hanif, Waqas, 2023. "Time-varying asymmetric spillovers among cryptocurrency, green and fossil-fuel investments," Global Finance Journal, Elsevier, vol. 58(C).
    2. Huang, Chuangxia & Cai, Yaqian & Yang, Xiaoguang & Deng, Yanchen & Yang, Xin, 2023. "Laplacian-energy-like measure: Does it improve the Cross-Sectional Absolute Deviation herding model?," Economic Modelling, Elsevier, vol. 127(C).
    3. Zhang, Pengcheng & Xu, Kunpeng & Qi, Jiayin, 2023. "The impact of regulation on cryptocurrency market volatility in the context of the COVID-19 pandemic — evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 222-246.
    4. Rico-Peña, Juan Jesús & Arguedas-Sanz, Raquel & López-Martin, Carmen, 2023. "Models used to characterise blockchain features. A systematic literature review and bibliometric analysis," Technovation, Elsevier, vol. 123(C).
    5. Zhang, Chuanhai & Zhang, Zhengjun & Xu, Mengyu & Peng, Zhe, 2023. "Good and bad self-excitation: Asymmetric self-exciting jumps in Bitcoin returns," Economic Modelling, Elsevier, vol. 119(C).
    6. Karim, Muhammad Mahmudul & Shah, Mohamed Eskandar & Noman, Abu Hanifa Md. & Yarovaya, Larisa, 2024. "Exploring asymmetries in cryptocurrency intraday returns and implied volatility: New evidence for high-frequency traders," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    7. José Almeida & Tiago Cruz Gonçalves, 2024. "Cryptocurrency market microstructure: a systematic literature review," Annals of Operations Research, Springer, vol. 332(1), pages 1035-1068, January.
    8. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
    9. Michael Cary, 2024. "Herding and investor sentiment after the cryptocurrency crash: evidence from Twitter and natural language processing," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
    10. Alessio Brini & Jimmie Lenz, 2024. "A comparison of cryptocurrency volatility-benchmarking new and mature asset classes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-38, December.
    11. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.
    12. Wang, Nianling & Lou, Zhusheng, 2023. "Sequential Bayesian analysis for semiparametric stochastic volatility model with applications," Economic Modelling, Elsevier, vol. 123(C).
    13. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    14. Jingyang Wu & Xinyi Zhang & Fangyixuan Huang & Haochen Zhou & Rohtiash Chandra, 2024. "Review of deep learning models for crypto price prediction: implementation and evaluation," Papers 2405.11431, arXiv.org, revised Jun 2024.
    15. Han, SeungOh, 2024. "Nonlinear relationship between cryptocurrency returns and price sensitivity to market uncertainty," Finance Research Letters, Elsevier, vol. 68(C).
    16. Ahmed, Mohamed Shaker & El-Masry, Ahmed A. & Al-Maghyereh, Aktham I. & Kumar, Satish, 2024. "Cryptocurrency volatility: A review, synthesis, and research agenda," Research in International Business and Finance, Elsevier, vol. 71(C).
    17. Hall, Mauri K. & Jasiak, Joann, 2024. "Modelling common bubbles in cryptocurrency prices," Economic Modelling, Elsevier, vol. 139(C).
    18. Cevik, Emrah Ismail & Gunay, Samet & Dibooglu, Sel & Yıldırım, Durmuş Çağrı, 2023. "The impact of expected and unexpected events on Bitcoin price development: Introduction of futures market and COVID-19," Finance Research Letters, Elsevier, vol. 54(C).
    19. Sergio Luis Náñez Alonso & Javier Jorge-Vázquez & Miguel Ángel Echarte Fernández & David Sanz-Bas, 2024. "Bitcoin’s bubbly behaviors: does it resemble other financial bubbles of the past?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    20. Yousaf, Imran & Goodell, John W., 2023. "Linkages between CBDC and cryptocurrency uncertainties, and digital payment stocks," Finance Research Letters, Elsevier, vol. 54(C).

  7. Jamie L. Cross & Aubrey Poon, 2020. "On the contribution of international shocks in Australian business cycle fluctuations," Empirical Economics, Springer, vol. 59(6), pages 2613-2637, December.

    Cited by:

    1. Desiree M. Kunene & Renee van Eyden & Petre Caraiani & Rangan Gupta, 2023. "The Predictive Impact of Climate Risk on Total Factor Productivity Growth: 1880-2020," Working Papers 202321, University of Pretoria, Department of Economics.
    2. Joshua C.C. Chan & Rodney W. Strachan, 2023. "Bayesian State Space Models In Macroeconometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
    3. Afonso, António & Morão, Hugo, 2024. "Commonalities and heterogeneity in the Iberian business cycle," The Journal of Economic Asymmetries, Elsevier, vol. 30(C).
    4. Maria Ghani & Usman Ghani, 2024. "Economic Policy Uncertainty and Emerging Stock Market Volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 165-181, March.

  8. Cross, Jamie L. & Hou, Chenghan & Poon, Aubrey, 2020. "Macroeconomic forecasting with large Bayesian VARs: Global-local priors and the illusion of sparsity," International Journal of Forecasting, Elsevier, vol. 36(3), pages 899-915.

    Cited by:

    1. Cepni, Oguzhan & Clements, Michael P., 2024. "How local is the local inflation factor? Evidence from emerging European countries," International Journal of Forecasting, Elsevier, vol. 40(1), pages 160-183.
    2. Joshua C. C. Chan & Xuewen Yu, 2022. "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Papers 2206.08438, arXiv.org.
    3. Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2023. "Large Time‐Varying Volatility Models for Hourly Electricity Prices," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 545-573, June.
    4. Chernis Tony, 2024. "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 293-317, April.
    5. David Kohns & Tibor Szendrei, 2021. "Decoupling Shrinkage and Selection for the Bayesian Quantile Regression," Papers 2107.08498, arXiv.org.
    6. Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).
    7. Michael Pfarrhofer, 2024. "Forecasts with Bayesian vector autoregressions under real time conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 771-801, April.
    8. William Ginn, 2024. "Agricultural fluctuations and global economic conditions," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 160(3), pages 1037-1056, August.
    9. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Specification Choices in Quantile Regression for Empirical Macroeconomics," Working Papers 22-25, Federal Reserve Bank of Cleveland.
    10. Niko Hauzenberger & Florian Huber & Luca Onorante, 2021. "Combining shrinkage and sparsity in conjugate vector autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
    11. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    12. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    13. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
    14. Adämmer, Philipp & Prüser, Jan & Schüssler, Rainer A., 2025. "Forecasting macroeconomic tail risk in real time: Do textual data add value?," International Journal of Forecasting, Elsevier, vol. 41(1), pages 307-320.
    15. Niko Hauzenberger, 2020. "Flexible Mixture Priors for Large Time-varying Parameter Models," Papers 2006.10088, arXiv.org, revised Nov 2020.
    16. 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.
    17. Zhang, Bo & Nguyen, Bao H., 2020. "Real-time forecasting of the Australian macroeconomy using Bayesian VARs," Working Papers 2020-12, University of Tasmania, Tasmanian School of Business and Economics.
    18. Chenghan Hou & Bao Nguyen & Bo Zhang, 2023. "Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 418-451, March.
    19. Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2020. "Large Time-Varying Volatility Models for Electricity Prices," Working Papers No 05/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    20. Bai, Yu & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Macroeconomic Forecasting in a Multi-country Context," CEPR Discussion Papers 16994, C.E.P.R. Discussion Papers.
    21. Hauber, Philipp, 2022. "Real-time nowcasting with sparse factor models," EconStor Preprints 251551, ZBW - Leibniz Information Centre for Economics.
    22. Diego Fresoli, 2022. "Bootstrap VAR forecasts: The effect of model uncertainties," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 279-293, March.
    23. Mehdi Mili & Jean‐Michel Sahut & Frédéric Teulon & Lubica Hikkerova, 2024. "A multidimensional Bayesian model to test the impact of investor sentiment on equity premium," Annals of Operations Research, Springer, vol. 334(1), pages 919-939, March.
    24. Sascha A. Keweloh & Mathias Klein & Jan Pruser, 2023. "Estimating Fiscal Multipliers by Combining Statistical Identification with Potentially Endogenous Proxies," Papers 2302.13066, arXiv.org, revised May 2024.
    25. Jan Prüser & Florian Huber, 2024. "Nonlinearities in macroeconomic tail risk through the lens of big data quantile regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 269-291, March.
    26. Ping Wu & Gary Koop, 2022. "Fast, Order-Invariant Bayesian Inference in VARs using the Eigendecomposition of the Error Covariance Matrix," Working Papers 2310, University of Strathclyde Business School, Department of Economics.
    27. Luis Gruber & Gregor Kastner, 2022. "Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!," Papers 2206.04902, arXiv.org, revised Feb 2025.
    28. Prüser, Jan & Blagov, Boris, 2022. "Improving inference and forecasting in VAR models using cross-sectional information," Ruhr Economic Papers 960, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    29. Zhang, Bo & Nguyen, Bao H. & Sun, Chuanwang, 2024. "Forecasting oil prices: Can large BVARs help?," Energy Economics, Elsevier, vol. 137(C).
    30. Lin, Jiahe & Michailidis, George, 2024. "A multi-task encoder-dual-decoder framework for mixed frequency data prediction," International Journal of Forecasting, Elsevier, vol. 40(3), pages 942-957.
    31. Chan, Joshua C.C., 2021. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1212-1226.
    32. Jan Pruser, 2024. "A large non-Gaussian structural VAR with application to Monetary Policy," Papers 2412.17598, arXiv.org.
    33. Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
    34. Ivan Aleksandrovich Kopytin & Nikolay Petrovich Pilnik & Ivan Pavlovich Stankevich, 2021. "Modelling Five Variables BVAR for Economic Policies and Growth in Azerbaijan, Kazakhstan and Russia: 2005 2020," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 510-518.
    35. Hou, Chenghan, 2024. "Large Bayesian SVARs with linear restrictions," Journal of Econometrics, Elsevier, vol. 244(1).
    36. Prüser, Jan, 2023. "Data-based priors for vector error correction models," International Journal of Forecasting, Elsevier, vol. 39(1), pages 209-227.
    37. Blagov, Boris & Müller, Henrik & Jentsch, Carsten & Schmidt, Torsten, 2021. "The investment narrative: Improving private investment forecasts with media data," Ruhr Economic Papers 921, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    38. Jamie L. Cross & Chenghan Hou & Gary Koop, 2021. "Macroeconomic Forecasting with Large Stochastic Volatility in Mean VARs," Working Papers No 04/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    39. Anna Pajor & Justyna Wróblewska & Łukasz Kwiatkowski & Jacek Osiewalski, 2024. "Hybrid SV‐GARCH, t‐GARCH and Markov‐switching covariance structures in VEC models—Which is better from a predictive perspective?," International Statistical Review, International Statistical Institute, vol. 92(1), pages 62-86, April.
    40. Lukas Berend & Jan Pruser, 2024. "The Transmission of Monetary Policy via Common Cycles in the Euro Area," Papers 2410.05741, arXiv.org, revised Nov 2024.
    41. Martin Feldkircher & Luis Gruber & Florian Huber & Gregor Kastner, 2024. "Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian vector autoregressions?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2126-2145, September.
    42. Wu, Ping, 2024. "Should I open to forecast? Implications from a multi-country unobserved components model with sparse factor stochastic volatility," International Journal of Forecasting, Elsevier, vol. 40(3), pages 903-917.

  9. Zhang, Bo & Chan, Joshua C.C. & Cross, Jamie L., 2020. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1318-1328.
    See citations under working paper version above.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.