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Laura Liu

Citations

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RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Measurement

Working papers

  1. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Jul 2024.

    Cited by:

    1. Laura Liu & Yulong Wang, 2025. "Binary Outcome Models with Extreme Covariates: Estimation and Prediction," Papers 2502.16041, arXiv.org.
    2. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
    3. Haoyuan Xu & Wei Miao & Geert Dhaene & Jad Beyhum, 2026. "Bootstrap Inference in Nonlinear Panel Data Models with Interactive Fixed Effects," Papers 2604.26826, arXiv.org.
    4. Jaan Masso & Amaresh K Tiwari, 2024. "Retracted: Estimating Production Function And Productivity Impact Of Export Persistence In Presence Of Market Imperfections," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 150, Faculty of Economics and Business Administration, University of Tartu (Estonia).

  2. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2021. "Forecasting with a Panel Tobit Model," Papers 2110.14117, arXiv.org, revised Jul 2022.

    Cited by:

    1. Chen, Mo & Xue, Wei-Xian & Zhao, Xin-Xin & Chang, Chun-Ping & Liu, Xiaoxia, 2024. "The impact of economic sanctions on the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 163-174.
    2. Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg-Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Working Papers 2022-27, Princeton University. Economics Department..
    3. Hyeongwoo Kim & Jisoo Son, 2024. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," Auburn Economics Working Paper Series auwp2024-01, Department of Economics, Auburn University.
    4. Eric Auerbach & Jonathan Auerbach & Sidonia McKenzie, 2026. "Post-Selection Inference for Network Structure," Papers 2607.00312, arXiv.org, revised Jul 2026.
    5. Kim, Dohan, 2025. "The Asymmetric Bank Distress Amplifier of Recessions," Policy Research Working Paper Series 11170, The World Bank.
    6. Bykhovskaya, Anna & Duffy, James A., 2024. "The local to unity dynamic Tobit model," Journal of Econometrics, Elsevier, vol. 241(2).
    7. Anna Bykhovskaya & James A. Duffy, 2025. "Estimation of a Dynamic Tobit Model with a Unit Root," Papers 2512.12110, arXiv.org.
    8. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, Centre for Economic Policy Research.
    9. Boyuan Zhang, 2020. "Forecasting with Bayesian Grouped Random Effects in Panel Data," Papers 2007.02435, arXiv.org, revised Oct 2020.
    10. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    11. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2023. "Comparing forecasting performance in cross-sections," Journal of Econometrics, Elsevier, vol. 237(2).
    12. Anna Bykhovskaya & James A. Duffy, 2022. "The Local to Unity Dynamic Tobit Model," Papers 2210.02599, arXiv.org, revised May 2024.
    13. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    14. Xin Sheng & Rangan Gupta & Qiang Ji, 2020. "Forecasting Charge-Off Rates with a Panel Tobit Model: The Role of Uncertainty," Working Papers 202092, University of Pretoria, Department of Economics.
    15. Zuoxiang Zhao & Hongjun Sun & Ding Han & Qiuyun Zhao, 2023. "Development strategy, technological progress, and regional environmental performance: empirical evidence from China," Economic Change and Restructuring, Springer, vol. 56(5), pages 3701-3732, October.
    16. Brezigar-Masten, Arjana & Masten, Igor & Volk, Matjaž, 2021. "Modelin-g credit risk with a Tobit model of days past due," Journal of Banking & Finance, Elsevier, vol. 122(C).
    17. Kim, Dohan & Sohn, Wook, 2024. "Loan growth and quality over the credit cycle," International Review of Economics & Finance, Elsevier, vol. 95(C).
    18. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," NBER Working Papers 26569, National Bureau of Economic Research, Inc.
    19. James A. Duffy & Sophocles Mavroeidis & Sam Wycherley, 2022. "Cointegration with Occasionally Binding Constraints," Papers 2211.09604, arXiv.org, revised Sep 2025.
    20. Antonio Pacifico, 2025. "High-Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 869-902, July.

  3. Laura Liu & Mikkel Plagborg-M{o}ller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," Papers 2101.04771, arXiv.org, revised Jun 2022.

    Cited by:

    1. Matteo Barigozzi & Filippo Pellegrino, 2023. "Multidimensional dynamic factor models," Papers 2301.12499, arXiv.org.
    2. Langot, François & Malmberg, Selma & Tripier, Fabien & Hairault, Jean-Olivier, 2023. "The Macroeconomic and Redistributive Effects of Shielding Consumers from Rising Energy Prices: the French Experiment," CEPREMAP Working Papers (Docweb) 2305, CEPREMAP.

  4. Schorfheide, Frank & Liu, Laura & Moon, Hyungsik Roger, 2020. "Panel Forecasts of Country-Level Covid-19 Infectionsliu," CEPR Discussion Papers 14790, Centre for Economic Policy Research.

    Cited by:

    1. Guenette,Justin Damien & Yamazaki,Takefumi, 2021. "Projecting the Economic Consequences of the COVID-19 Pandemic," Policy Research Working Paper Series 9589, The World Bank.

  5. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Panel Forecasts of Country-Level Covid-19 Infections," NBER Working Papers 27248, National Bureau of Economic Research, Inc.

    Cited by:

    1. Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
    2. Christian Aleman & Christopher Busch & Alexander Ludwig & Raul Santaeulalia-Llopis, 2022. "A Stage-Based Identification of Policy Effects," PIER Working Paper Archive 22-026, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Li, Shaoran & Linton, Oliver, 2021. "When will the Covid-19 pandemic peak?," Journal of Econometrics, Elsevier, vol. 220(1), pages 130-157.
    4. Hwang, Eunju, 2022. "Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    5. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2024. "Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach," Papers 2405.12180, arXiv.org.
    6. Chaohua Dong & Jiti Gao & Oliver Linton & Bin Peng, 2020. "On the Time Trend of COVID-19: A Panel Data Study," Papers 2006.11060, arXiv.org, revised Jun 2020.
    7. Guenette,Justin Damien & Yamazaki,Takefumi, 2021. "Projecting the Economic Consequences of the COVID-19 Pandemic," Policy Research Working Paper Series 9589, The World Bank.
    8. Yanqing Yang & Xingcheng Xu & Jinfeng Ge & Yan Xu, 2024. "Machine Learning for Economic Forecasting: An Application to China's GDP Growth," Papers 2407.03595, arXiv.org.
    9. Pierluigi Vallarino, 2024. "Dynamic kernel models," Tinbergen Institute Discussion Papers 24-082/III, Tinbergen Institute.
    10. Fernández-Villaverde, Jesús & Jones, Charles I., 2022. "Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    11. Yothin Jinjarak & Rashad Ahmed & Sameer Nair-Desai & Weining Xin & Joshua Aizenman, 2020. "Accounting for Global COVID-19 Diffusion Patterns, January–April 2020," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 515-559, October.
    12. Sen, Anindya & Baker, John David & Zhang, Qihuang & Agarwal, Rishav Raj & Lam, Jean-Paul, 2023. "Do more stringent policies reduce daily COVID-19 case counts? Evidence from Canadian provinces," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 225-242.
    13. Otilia Boldea & Adriana Cornea-Madeira & João Madeira, 2023. "Disentangling the effect of measures, variants, and vaccines on SARS-CoV-2 infections in England: a dynamic intensity model," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 444-466.
    14. Leonardo Martins & Marcelo C. Medeiros, 2021. "The Impacts of Mobility on Covid-19 Dynamics: Using Soft and Hard Data," Papers 2110.00597, arXiv.org.
    15. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2025. "Estimating the impact of social distance policy in mitigating COVID-19 spread with factor-based imputation approach," Empirical Economics, Springer, vol. 68(2), pages 585-601, February.
    16. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    17. Julliard, Christian & Shi, Ran & Yuan, Kathy, 2023. "The spread of COVID-19 in London: Network effects and optimal lockdowns," Journal of Econometrics, Elsevier, vol. 235(2), pages 2125-2154.
    18. Tobias Hartl, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," Papers 2102.10067, arXiv.org.
    19. Lee, Sokbae & Liao, Yuan & Seo, Myung Hwan & Shin, Youngki, 2021. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," Journal of Econometrics, Elsevier, vol. 220(1), pages 158-180.
    20. Xin Jing & Jin Seo Cho, 2025. "Quantile ARDL Estimation of the Relationship between the Confirmed COVID-19 Cases and Deaths in the U.S," Working papers 2025rwp-247, Yonsei University, Yonsei Economics Research Institute.
    21. Andrei Zubarev & Maria Kirillova, 2022. "Modeling COVID-19 spread in the Russian Federation using global VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 117-138.
    22. Ho, Paul & Lubik, Thomas A. & Matthes, Christian, 2023. "How to go viral: A COVID-19 model with endogenously time-varying parameters," Journal of Econometrics, Elsevier, vol. 232(1), pages 70-86.

  6. Laura Liu & Christian Matthes & Katerina Petrova, 2018. "Monetary Policy across Space and Time," Working Paper 18-14, Federal Reserve Bank of Richmond.

    Cited by:

    1. Boeck, Maximilian & Mori, Lorenzo, 2025. "Has globalization changed the international transmission of U.S. monetary policy?," Journal of International Economics, Elsevier, vol. 157(C).
    2. Goodhead, Robert, 2024. "The economic impact of yield curve compression: Evidence from euro area forward guidance and unconventional monetary policy," European Economic Review, Elsevier, vol. 164(C).
    3. Zakipour-Saber, Shayan, 2019. "Forecasting in the euro area: The role of the US long rate," Economic Letters 5/EL/19, Central Bank of Ireland.
    4. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan, 2019. "International monetary policy spillovers: Evidence from a time-varying parameter vector autoregression," International Review of Financial Analysis, Elsevier, vol. 65(C).
    5. Lei, Jian, 2021. "Curve momentum in currency markets," Finance Research Letters, Elsevier, vol. 42(C).

  7. Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Oct 2021.

    Cited by:

    1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2021. "Forecasting with a Panel Tobit Model," Papers 2110.14117, arXiv.org, revised Jul 2022.
    2. Boyuan Zhang, 2020. "Forecasting with Bayesian Grouped Random Effects in Panel Data," Papers 2007.02435, arXiv.org, revised Oct 2020.
    3. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Jul 2024.
    4. Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022. "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports 1025, Federal Reserve Bank of New York.
    5. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    6. Pietro Giorgio Lovaglio, 2025. "Cross‐Learning With Panel Data Modeling for Stacking and Forecast Time Series Employment in Europe," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 753-780, March.
    7. Antonio Pacifico, 2025. "High-Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 869-902, July.

  8. Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2017. "Commodity Connectedness," NBER Working Papers 23685, National Bureau of Economic Research, Inc.

    Cited by:

    1. Zheng, Qingying & Wu, Jintao & Lin, Boqiang, 2025. "Performance of systemic stress in agricultural commodities and its implication for volatility prediction in SSA equities," Journal of Commodity Markets, Elsevier, vol. 39(C).
    2. Juncal Cunado & David Gabauer & Rangan Gupta, 2021. "Realized Volatility Spillovers between Energy and Metal Markets: A Time-Varying Connectedness Approach," Working Papers 202180, University of Pretoria, Department of Economics.
    3. Zaheer Anwer & Ashraf Khan & Muhammad Abubakr Naeem & Aviral Kumar Tiwari, 2025. "Modelling systemic risk of energy and non-energy commodity markets during the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 345(2), pages 1193-1227, February.
    4. Thiem, Christopher, 2018. "Cross-category spillovers of economic policy uncertainty," Ruhr Economic Papers 744, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Najaf Iqbal & Elie Bouri & Guangrui Liu & Ashish Kumar, 2024. "Volatility spillovers during normal and high volatility states and their driving factors: A cross‐country and cross‐asset analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 975-995, January.
    6. Lucey, Brian M. & Vigne, Samuel A. & Ballester, Laura & Barbopoulos, Leonidas & Brzeszczynski, Janusz & Carchano, Oscar & Dimic, Nebojsa & Fernandez, Viviana & Gogolin, Fabian & González-Urteaga, Ana , 2018. "Future directions in international financial integration research - A crowdsourced perspective," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 35-49.
    7. Scarcioffolo, Alexandre Ribeiro & Etienne, Xiaoli L., 2019. "How connected are the U.S. regional natural gas markets in the post-deregulation era? Evidence from time-varying connectedness analysis," Journal of Commodity Markets, Elsevier, vol. 15(C), pages 1-1.
    8. Escribano, Ana & Koczar, Monika W. & Jareño, Francisco & Esparcia, Carlos, 2023. "Shock transmission between crude oil prices and stock markets," Resources Policy, Elsevier, vol. 83(C).
    9. Shah, Adil Ahmad & Dar, Arif Billah, 2021. "Exploring diversification opportunities across commodities and financial markets: Evidence from time-frequency based spillovers," Resources Policy, Elsevier, vol. 74(C).
    10. Kamocsai, László & Ormos, Mihály, 2025. "Modeling gasoline price volatility," Finance Research Letters, Elsevier, vol. 73(C).
    11. Shao, Liuguo & Nong, Hao & Zhang, Hua, 2026. "Analysis of homogeneous and heterogeneous response of clean energy metal prices under geopolitical risk shocks," Energy Policy, Elsevier, vol. 208(C).
    12. Zhou, Bin & Shi, Huai-Long, 2024. "Quantile volatility connectedness among themes and sectors: Novel evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    13. Apergis, Nicholas, 2023. "Realized higher-order moments spillovers across cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    14. Mao, Yang-Rong & Shi, Huai-Long & Chen, Huayi & Wan, Yu-Lei, 2025. "Detecting cross-firm momentum effects via shared analyst coverage: The role of leaders," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 105(C).
    15. Wen, Tiange & Wang, Gang-Jin, 2020. "Volatility connectedness in global foreign exchange markets," Journal of Multinational Financial Management, Elsevier, vol. 54(C).
    16. Costola, Michele & Lorusso, Marco, 2022. "Spillovers among energy commodities and the Russian stock market," Journal of Commodity Markets, Elsevier, vol. 28(C).
    17. Pagnottoni, Paolo, 2023. "Superhighways and roads of multivariate time series shock transmission: Application to cryptocurrency, carbon emission and energy prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    18. Wang, Gang-Jin & Chen, Yang-Yang & Si, Hui-Bin & Xie, Chi & Chevallier, Julien, 2021. "Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 325-347.
    19. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    20. Ma, Yan-Ran & Ji, Qiang & Wu, Fei & Pan, Jiaofeng, 2021. "Financialization, idiosyncratic information and commodity co-movements," Energy Economics, Elsevier, vol. 94(C).
    21. Zhang, Xu & Xu, Wenting & Rauf, Abdul & Ozturk, Ilhan, 2024. "Transitioning from conventional energy to clean renewable energy in G7 countries: A signed network approach," Energy, Elsevier, vol. 307(C).
    22. Muneer Shaik & Mustafa Raza Rabbani & Mohd Atif & Ahmet Faruk Aysan & Mohammad Noor Alam & Umar Nawaz Kayani, 2024. "The dynamic volatility nexus of geo-political risks, stocks, bond, bitcoin, gold and oil during COVID-19 and Russian-Ukraine war," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-16, February.
    23. Kamocsai, László & Ormos, Mihály, 2026. "Modeling and forecasting commodity price volatility using a common leverage factor," The North American Journal of Economics and Finance, Elsevier, vol. 82(C).
    24. Choi, Insu & Kim, Woo Chang, 2024. "Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques," International Review of Financial Analysis, Elsevier, vol. 94(C).
    25. Mensi, Walid & Rehman, Mobeen Ur & Gök, Remzi & Gemici, Eray & Vo, Xuan Vinh, 2025. "Risk spillovers and diversification benefits between crude oil and agricultural commodity futures markets," Research in International Business and Finance, Elsevier, vol. 73(PA).
    26. Shah, Adil Ahmad & Dar, Arif Billah, 2022. "Asymmetric, time and frequency-based spillover transmission in financial and commodity markets," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    27. Libo Yin & Hong Cao, 2024. "Financialization of commodity markets: New evidence from temporal and spatial domains," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(8), pages 1357-1382, August.
    28. Cagli, Efe Caglar, 2023. "The volatility spillover between battery metals and future mobility stocks: Evidence from the time-varying frequency connectedness approach," Resources Policy, Elsevier, vol. 86(PA).
    29. Semeyutin, Artur & Gozgor, Giray & Lau, Chi Keung Marco & Xu, Bing, 2021. "Effects of idiosyncratic jumps and co-jumps on oil, gold, and copper markets," Energy Economics, Elsevier, vol. 104(C).
    30. Andrea Bastianin & Chiara Casoli & Evzen Kocenda & Xiao Li, 2026. "Extreme Connectedness among Energy Transition Metals and Commodity Markets," Working Papers 2026.13, Fondazione Eni Enrico Mattei.
    31. Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    32. Shi, Huai-Long & Chen, Huayi, 2025. "Quantile return connectedness of theme factors and portfolio implications: Evidence from the US and China," Global Finance Journal, Elsevier, vol. 64(C).
    33. Lukas Boeckelmann & Arthur Stalla-Bourdillon, 2021. "Structural Estimation of Time-Varying Spillovers: An Application to International Credit Risk Transmission," Working papers 798, Banque de France.
    34. Jonas Krampe & Luca Margaritella, 2024. "Decomposing Global Bank Network Connectedness: What is Common, Idiosyncratic and When?," Papers 2402.02482, arXiv.org, revised Mar 2025.
    35. Malhotra, Priya & Kumar, Sanjeev & Gubareva, Mariya & Mendes, José Zorro, 2026. "Dynamic nexus of clean energy metals, energy commodities and traditional assets: Multidimensional techniques and portfolio analysis," Research in International Business and Finance, Elsevier, vol. 81(C).
    36. Kyriazis, Nikolaos & Corbet, Shaen, 2024. "Evaluating the dynamic connectedness of financial assets and bank indices during black-swan events: A Quantile-VAR approach," Energy Economics, Elsevier, vol. 131(C).
    37. Melo-Velandia, Luis Fernando & Otero, Jesús & Ramírez-González, Mahicol Stiben, 2025. "Quality differences, location, and coffee price returns networks: Insights from a high-dimensional CoVaR-copula analysis," International Review of Financial Analysis, Elsevier, vol. 107(C).
    38. Roberto Esposti, 2025. "Investigating commodity price interdependence with Granger causality networks," Working Papers 498, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    39. Raghav Goyal & Edouard Mensah & Sandro Steinbach, 2024. "The interplay of geopolitics and agricultural commodity prices," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(4), pages 1533-1562, December.
    40. Liu, Pan & Power, Gabriel J. & Vedenov, Dmitry, 2021. "Fair-weather Friends? Sector-specific volatility connectedness and transmission," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 712-736.
    41. Zheng, Tingguo & Ye, Shiqi & Hong, Yongmiao, 2023. "Fast estimation of a large TVP-VAR model with score-driven volatilities," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
    42. Liang, Chao & Ma, Feng & Li, Ziyang & Li, Yan, 2020. "Which types of commodity price information are more useful for predicting US stock market volatility?," Economic Modelling, Elsevier, vol. 93(C), pages 642-650.
    43. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    44. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    45. Bastianin, Andrea & Casoli, Chiara & Galeotti, Marzio, 2023. "The connectedness of Energy Transition Metals," Energy Economics, Elsevier, vol. 128(C).
    46. Muñoz Mendoza, Jorge A. & Veloso Ramos, Carmen L. & Delgado Fuentealba, Carlos L. & Cornejo Saavedra, Edinson E. & Sepúlveda Yelpo, Sandra M., 2024. "Stock, foreign exchange and commodity markets linkages: Implications for risk diversification and portfolio management," Global Finance Journal, Elsevier, vol. 63(C).
    47. Agyei, Samuel Kwaku & Umar, Zaghum & Bossman, Ahmed & Teplova, Tamara, 2023. "Dynamic connectedness between global commodity sectors, news sentiment, and sub-Saharan African equities," Emerging Markets Review, Elsevier, vol. 56(C).
    48. shah, Adil Ahmad & Bhanja, Niyati & Dar, Arif Billah, 2023. "Do gold and the US dollar diversify global sectoral risk? Evidence from connectedness and dynamic conditional correlation measures," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    49. Padhan, Hemachandra & Kocoglu, Mustafa, 2025. "Analysing a frequency and quantile connectedness spillover dynamics nexus: Metals, grains, and energy markets under economic signals," Energy Economics, Elsevier, vol. 147(C).
    50. Abid, Ilyes & Benkraiem, Ramzi & Mzoughi, Hela & Urom, Christian, 2024. "From black gold to financial fallout: Analyzing extreme risk spillovers in oil-exporting nations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    51. An, Sufang & Gao, Xiangyun & An, Haizhong & Liu, Siyao & Sun, Qingru & Jia, Nanfei, 2020. "Dynamic volatility spillovers among bulk mineral commodities: A network method," Resources Policy, Elsevier, vol. 66(C).
    52. Yi, Shuyue & Xu, Zishuang & Wang, Gang-Jin, 2018. "Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 98-114.
    53. Shakya, Shishir & Li, Bingxin & Etienne, Xiaoli, 2022. "Shale revolution, oil and gas prices, and drilling activities in the United States," Energy Economics, Elsevier, vol. 108(C).
    54. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
    55. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    56. Wang, Xiaoyang, 2022. "Efficient markets are more connected: An entropy-based analysis of the energy, industrial metal and financial markets," Energy Economics, Elsevier, vol. 111(C).
    57. Farag, Markos & Ruhnau, Oliver, 2026. "Decomposing return and volatility connectedness in Northwest European natural gas markets: Evidence from the R2 connectedness approach," Energy Economics, Elsevier, vol. 154(C).
    58. Balli, Faruk & Balli, Hatice Ozer & Dang, Tam Hoang Nhat & Gabauer, David, 2023. "Contemporaneous and lagged R2 decomposed connectedness approach: New evidence from the energy futures market," Finance Research Letters, Elsevier, vol. 57(C).
    59. Chiara Casoli & Luca Pedini, 2026. "Measuring spillovers and connectedness in gretl," Computational Statistics, Springer, vol. 41(1), pages 1-30, January.
    60. Chen, Huayi & Shi, Huai-Long & Zhou, Wei-Xing, 2024. "Carbon volatility connectedness and the role of external uncertainties: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 33(C).
    61. Wang, Gang-Jin & Xie, Chi & Zhao, Longfeng & Jiang, Zhi-Qiang, 2018. "Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 205-230.
    62. Cao, Yan & Cheng, Sheng & Li, Xinran, 2023. "How economic policy uncertainty affects asymmetric spillovers in food and oil prices: Evidence from wavelet analysis," Resources Policy, Elsevier, vol. 86(PB).
    63. Byrne, Joseph P. & Sakemoto, Ryuta, 2025. "Commodity correlation risk," Journal of Commodity Markets, Elsevier, vol. 38(C).
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    69. Ogbuabor, Jonathan E. & Anthony-Orji, Onyinye I. & Manasseh, Charles O. & Orji, Anthony, 2020. "Measuring the dynamics of COMESA output connectedness with the global economy," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
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    Cited by:

    1. Emine Boz & Gita Gopinath & Mikkel Plagborg-Møller, 2017. "Global Trade and the Dollar," NBER Working Papers 23988, National Bureau of Economic Research, Inc.

  10. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Forecasting with Dynamic Panel Data Models," Papers 1709.10193, arXiv.org.

    Cited by:

    1. Mihaela Simionescu & Javier Cifuentes-Faura, 2022. "Forecasting National and Regional Youth Unemployment in Spain Using Google Trends," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1187-1216, December.
    2. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    3. Fabio Canova, 2024. "Should we trust cross‐sectional multiplier estimates?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 589-606, June.
    4. Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Oct 2021.
    5. Yugang He, 2024. "E-commerce and foreign direct investment: pioneering a new era of trade strategies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    6. Mikihito Nishi & Ryo Okui, 2026. "Inference methods for unit-specific coefficients in panel data models with latent group structure," Papers 2606.22035, arXiv.org.
    7. Andrew Y. Chen & Tom Zimmermann, 2018. "Publication Bias and the Cross-Section of Stock Returns," Finance and Economics Discussion Series 2018-033, Board of Governors of the Federal Reserve System (U.S.).
    8. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Forecasting with Dynamic Panel Data Models," NBER Working Papers 25102, National Bureau of Economic Research, Inc.
    9. Chinco, Alex & Neuhierl, Andreas & Weber, Michael, 2021. "Estimating the anomaly base rate," Journal of Financial Economics, Elsevier, vol. 140(1), pages 101-126.
    10. Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
    11. Laura Liu, 2017. "Density Forecasts in Panel Models: A semiparametric Bayesian Perspective," PIER Working Paper Archive 17-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Apr 2017.
    12. Wang, Siquan & Lin, Boqiang, 2024. "Performance linkage in renewable energy supply chain: A comparative analysis with coal power and the entire industry," Energy Policy, Elsevier, vol. 193(C).
    13. Magdalena Cornejo & Walter Sosa Escudero, 2026. "Machine Learning and Shrinkage in Dynamic Panel Forecasting," Working Papers 183, Universidad de San Andres, Departamento de Economia, revised May 2026.
    14. Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2022. "Interest rate uncertainty and the predictability of bank revenues," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1559-1569, December.
    15. He Li & Nurhafiza Abdul Kader Malim & Xiaojun Xie & Xuyang Du, 2025. "Interaction Effects of Green Finance and Digital Platforms on China’s Economic Growth," Sustainability, MDPI, vol. 17(18), pages 1-16, September.
    16. Moffo, Ahmadou Mustapha Fonton, 2024. "A machine learning approach in stress testing US bank holding companies," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    17. Seoyoung Yu & Donghyun Kim, 2021. "Changes in Regional Economic Resilience after the 2008 Global Economic Crisis: The Case of Korea," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    18. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, Centre for Economic Policy Research.
    19. Andrew Y. Chen, 2022. "Do t-Statistic Hurdles Need to be Raised?," Papers 2204.10275, arXiv.org, revised Apr 2024.
    20. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    21. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    22. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2023. "Comparing forecasting performance in cross-sections," Journal of Econometrics, Elsevier, vol. 237(2).
    23. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    24. Huang, Shiwei & Chen, Yu & Hu, Jie & Zhang, Weiping, 2026. "Dynamic panel data quantile regression with network-linked fixed effects," Journal of Econometrics, Elsevier, vol. 253(C).
    25. Hyungsik Roger Moon & Frank Schorfheide & Boyuan Zhang, 2023. "Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity," Papers 2310.13785, arXiv.org, revised Feb 2024.
    26. Alan Dorfman & William Johnson & Fred Marsh & Robert Poole & Owen Shoemaker & Randal J. Verbrugge, 2015. "Determinants of Differential Rent Changes: Mean Reversion versus the Usual Suspects," Working Papers (Old Series) 1511, Federal Reserve Bank of Cleveland.
    27. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    28. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
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    32. Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023. "A Robust Method for Microforecasting and Estimation of Random Effects," Working Paper Series WP 2023-26, Federal Reserve Bank of Chicago.
    33. Andrew Y. Chen, 2025. "Do t -Statistic Hurdles Need to Be Raised?," Management Science, INFORMS, vol. 71(7), pages 5830-5848, July.
    34. Antonio Pacifico, 2025. "High-Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 869-902, July.
    35. Andrew Y. Chen & Mihail Velikov, 2020. "Zeroing in on the Expected Returns of Anomalies," Finance and Economics Discussion Series 2020-039, Board of Governors of the Federal Reserve System (U.S.).
    36. Lin, Jilei & Eck, Daniel J., 2021. "Minimizing post-shock forecasting error through aggregation of outside information," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1710-1727.
    37. Ullah, Atta & Nobanee, Haitham & Ullah, Saif & Iftikhar, Huma, 2024. "Renewable energy transition and regional integration: Energizing the pathway to sustainable development," Energy Policy, Elsevier, vol. 193(C).
    38. Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023. "Individual Shrinkage for Random Effects," Papers 2308.01596, arXiv.org, revised May 2026.

  11. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2015. "Estimating Global Bank Network Connectedness," Koç University-TUSIAD Economic Research Forum Working Papers 1512, Koc University-TUSIAD Economic Research Forum.

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    1. Uddin, Gazi Salah & Jayasekera, Ranadeva & Park, Donghyun & Luo, Tianqi & Tian, Shu, 2022. "Go green or stay black: Bond market dynamics in Asia," International Review of Financial Analysis, Elsevier, vol. 81(C).
    2. Aramayis Dallakyan, 2021. "Nonparanormal Structural VAR for Non-Gaussian Data," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1093-1113, April.
    3. Inekwe, John Nkwoma, 2020. "Liquidity connectedness and output synchronisation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 66(C).
    4. Chen, Yu-Lun & Mo, Wan-Shin & Qin, Rong-Ling & Yang, J. Jimmy, 2023. "Return spillover across China's financial markets," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    5. Ki-Hong Choi & Ron P. McIver & Salvatore Ferraro & Lei Xu & Sang Hoon Kang, 2021. "Dynamic volatility spillover and network connectedness across ASX sector markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(4), pages 677-691, October.
    6. Zhu, Zongyuan & Luo, Qingtian, 2023. "Inter-industry risk spillover, role reversal, and economic stability," Finance Research Letters, Elsevier, vol. 57(C).
    7. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    8. Xiang, Youtao & Borjigin, Sumuya, 2024. "Multilayer networks for measuring interconnectedness among global stock markets through the lens of trading volume-price relationship," Global Finance Journal, Elsevier, vol. 62(C).
    9. Okorie, David Iheke & Lin, Boqiang, 2022. "Givers never lack: Nigerian oil & gas asymmetric network analyses," Energy Economics, Elsevier, vol. 108(C).
    10. Boyao Wu & Difang Huang & Muzi Chen, 2024. "Estimating Contagion Mechanism in Global Equity Market with Time-Zone Effect," Papers 2404.04335, arXiv.org.
    11. Xu, Qifa & Li, Mengting & Jiang, Cuixia, 2021. "Network-augmented time-varying parametric portfolio selection: Evidence from the Chinese stock market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    12. Finta, Marinela Adriana, 2025. "Risk premia-return spillovers among commodity-U.S. equity markets," International Review of Economics & Finance, Elsevier, vol. 102(C).
    13. Muzi Chen & Yuhang Wang & Boyao Wu & Difang Huang, 2024. "Dynamic Analyses of Contagion Risk and Module Evolution on the SSE A-Shares Market Based on Minimum Information Entropy," Papers 2403.19439, arXiv.org.
    14. Chen, Jiusheng & Wang, Xianning, 2025. "Climate policy uncertainty and the Chinese sectoral stock market: A multilayer network analysis," Economic Systems, Elsevier, vol. 49(1).
    15. Hale, Galina & Lopez, Jose A., 2019. "Monitoring banking system connectedness with big data," Journal of Econometrics, Elsevier, vol. 212(1), pages 203-220.
    16. Stenfors, Alexis & Chatziantoniou, Ioannis & Gabauer, David, 2022. "Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    17. Będowska-Sójka, Barbara & Górka, Joanna & Hemmings, Danial & Zaremba, Adam, 2024. "Uncertainty and cryptocurrency returns: A lesson from turbulent times," International Review of Financial Analysis, Elsevier, vol. 94(C).
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    341. Gui-Hua Lin & Zhen-Ping Yang & Hai-An Yin & Jin Zhang, 2023. "A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems," Computational Optimization and Applications, Springer, vol. 86(2), pages 669-710, November.
    342. C. Ciocirlan & M. Nițoi, 2023. "Sovereign risk connectedness: the impact of ECB’s policy announcements in Central and Eastern Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(4), pages 1025-1054, November.
    343. Ouyang, Hongbing & Long, Tianqi, 2025. "Debt risk spillover and driving mechanism of China’s local government financing platforms," Finance Research Letters, Elsevier, vol. 81(C).
    344. Matthew Greenwood-Nimmo & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Risk and Return Spillovers in a Global Model of the Foreign Exchange Network," Working Papers 11014, South African Reserve Bank.
    345. Zhou, Dong-hai & Liu, Xiao-xing, 2023. "Do world stock markets “jump” together? A measure of high-frequency volatility risk spillover networks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    346. Marco Valerio Geraci & Jean-Yves Gnabo, 2015. "Measuring interconnectedness between financial institutions with Bayesian time-varying vector autoregressions," Working Papers ECARES 2015-51, ULB -- Universite Libre de Bruxelles.
    347. Xue, Jianhao & Dai, Xingyu & Zhang, Dongna & Nghiem, Xuan-Hoa & Wang, Qunwei, 2024. "Tail risk spillover network among green bond, energy and agricultural markets under extreme weather scenarios," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    348. Baumöhl, Eduard & Bouri, Elie & Hoang, Thi-Hong-Van & Shahzad, Syed Jawad Hussain & Výrost,Tomáš, 2020. "From physical to financial contagion: the COVID-19 pandemic and increasing systemic risk among banks," EconStor Preprints 218944, ZBW - Leibniz Information Centre for Economics.
    349. Boyao Wu & Difang Huang & Muzi Chen, 2023. "Estimating contagion mechanism in global equity market with time‐zone effect," Financial Management, Financial Management Association International, vol. 52(3), pages 543-572, September.
    350. Bernardi, Mauro & Costola, Michele, 2019. "High-dimensional sparse financial networks through a regularised regression model," SAFE Working Paper Series 244, Leibniz Institute for Financial Research SAFE.
    351. Giannoulakis, Michael, 2025. "NPL Spillovers in Europe: Credit Risk contagion mechanisms in the aftermath of the global financial crisis," Greenwich Papers in Political Economy 51103, University of Greenwich, Greenwich Political Economy Research Centre.
    352. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    353. Fuwei Xu, 2024. "Modeling the Paths of China’s Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 47-73, January.
    354. Laura Liu & Christian Matthes & Katerina Petrova, 2018. "Monetary Policy across Space and Time," Working Paper 18-14, Federal Reserve Bank of Richmond.
    355. Fernanda Fuentes & Rodrigo Herrera, 2020. "Dynamics of Connectedness in Clean Energy Stocks," Energies, MDPI, vol. 13(14), pages 1-19, July.
    356. Matteo Orlandini & Sebastiano Michele Zema & Mauro Napoletano & Giorgio Fagiolo, 2025. "A Network Approach to Volatility Diffusion and Forecasting in Global Financial Markets," GREDEG Working Papers 2025-19, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    357. Zhou, Wei & Gu, Qinen & Chen, Jin, 2021. "From volatility spillover to risk spread: An empirical study focuses on renewable energy markets," Renewable Energy, Elsevier, vol. 180(C), pages 329-342.
    358. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Empirical Economics, Springer, vol. 57(3), pages 991-1021, September.
    359. Fang, Yi & Shao, Zhiquan, 2022. "The Russia-Ukraine conflict and volatility risk of commodity markets," Finance Research Letters, Elsevier, vol. 50(C).
    360. Li, Xingyi & Gan, Kai & Zhou, Qi, 2023. "Dynamic volatility connectedness among cryptocurrencies and China's financial assets in standard times and during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 51(C).
    361. Dan Yi & Sheng Lin & Jianlan Yang, 2025. "Global Climate Risk Perception and Its Dynamic Impact on the Clean Energy Market: New Evidence from Contemporaneous and Lagged R 2 Decomposition Connectivity Approaches," Sustainability, MDPI, vol. 17(8), pages 1-29, April.
    362. Mengting Li & Qifa Xu & Cuixia Jiang & Qinna Zhao, 2023. "The role of tail network topological characteristic in portfolio selection: A TNA‐PMC model," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 37-57, March.
    363. Addi, Abdelhamid & Foglia, Matteo & Wang, Gang-Jin & Miglietta, Federica, 2025. "Crossroads of volatility spillover: Interactions between Islamic and conventional financial systems," Research in International Business and Finance, Elsevier, vol. 74(C).
    364. Rufei Zhang & Haizhen Zhang & Qingzhu Fan & Wang Gao & Xue Luo & Shixiong Yang, 2022. "Partisan Conflict, National Security Policy Uncertainty and Tourism," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    365. Bouri, Elie & Iqbal, Najaf & Klein, Tony, 2022. "Climate policy uncertainty and the price dynamics of green and brown energy stocks," Finance Research Letters, Elsevier, vol. 47(PB).
    366. Marco Valerio Geraci & Jean-Yves Gnabo, 2015. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying VARS," Working Papers ECARES ECARES 2015-51, ULB -- Universite Libre de Bruxelles.
    367. Bo Yu & Zhijia Chang, 2024. "Connectedness of Carbon Price and Energy Price under Shocks: A Study Based on Positive and Negative Price Volatility," Sustainability, MDPI, vol. 16(12), pages 1-26, June.
    368. Shi, Guifen & Chen, Zhizhen & Luo, Weichen & Wei, Zijun, 2024. "Cross-Border spillover of imported sovereign risk to China: Key factors identification based on XGBoost-SHAP explainable machine learning algorithm," Finance Research Letters, Elsevier, vol. 70(C).
    369. Chen, Shi & Härdle, Wolfgang Karl & López Cabrera, Brenda, 2018. "Regularization Approach for Network Modeling of German Energy Market," IRTG 1792 Discussion Papers 2018-017, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    370. Ehsan Bagheri & Seyed Babak Ebrahimi & Arman Mohammadi & Mahsa Miri & Stelios Bekiros, 2022. "The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1087-1111, March.
    371. Chatziantoniou, Ioannis & Elsayed, Ahmed H. & Gabauer, David & Gozgor, Giray, 2023. "Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies," Energy Economics, Elsevier, vol. 120(C).
    372. Anghel, Dan Gabriel & Caraiani, Petre, 2024. "Monetary policy shocks and the high-frequency network connectedness of stock markets," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    373. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.
    374. Kwame Annin & Kofi Agyarko Ababio & Solomon Sarpong, 2025. "Dynamic Risk Spillover in International Real Estate Investment Trusts: Implications for Asset Investors," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(4), pages 1519-1550, December.
    375. Muñoz Mendoza, Jorge A. & Ferreira, Guillermo & Márquez Sanders, Vicente A., 2023. "Liquidity spillovers in the global stock markets: Lessons for risk management," Global Finance Journal, Elsevier, vol. 58(C).
    376. Paolo Giudici & Paolo Pagnottoni, 2019. "High Frequency Price Change Spillovers in Bitcoin Markets," Risks, MDPI, vol. 7(4), pages 1-18, November.
    377. Hogen, Yoshihiko & Kasai, Yoshiyasu & Shinozaki, Yuji, 2025. "Rise of NBFIs and the global structural change in the transmission of market shocks," Journal of Financial Stability, Elsevier, vol. 79(C).
    378. Xiaoye Jin, 2024. "Salience theory value spillovers between China’s systemically important banks: evidence from quantile connectedness," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-39, December.
    379. Guðmundsson, Guðmundur Stefán & Brownlees, Christian, 2021. "Detecting groups in large vector autoregressions," Journal of Econometrics, Elsevier, vol. 225(1), pages 2-26.
    380. Emile Esmaili & Michael J. Puma & Francis Ludlow & Poul Holm & Eva Jobbova, 2024. "Warfare Ignited Price Contagion Dynamics in Early Modern Europe," Papers 2411.18978, arXiv.org, revised Dec 2024.
    381. Ogbuabor, Jonathan E. & Anthony-Orji, Onyinye I. & Manasseh, Charles O. & Orji, Anthony, 2020. "Measuring the dynamics of COMESA output connectedness with the global economy," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    382. Miriam Kamah & Joshua Riti, 2024. "Measuring the connectedness of the Nigerian banking network and its implications for systemic risk," Modern Finance, Modern Finance Institute, vol. 2(2), pages 96-119.
    383. Marius Cristian Acatrinei, 2020. "Spillover index for European business cycle," Journal of Financial Studies, Institute of Financial Studies, vol. 9(5), pages 49-57, November.
    384. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    385. Barbaglia, Luca & Croux, Christophe & Wilms, Ines, 2020. "Volatility spillovers in commodity markets: A large t-vector autoregressive approach," Energy Economics, Elsevier, vol. 85(C).
    386. Javier Sánchez-García & Raffaele Mattera & Salvador Cruz-Rambaud & Roy Cerqueti, 2024. "Measuring financial stability in the presence of energy shocks," Post-Print hal-05115049, HAL.
    387. Schischke, Amelie & Rathgeber, Andreas, 2025. "The impact of renewables on spillover effects in electricity markets," Applied Energy, Elsevier, vol. 399(C).
    388. Sila, Jan & Kocenda, Evzen & Kristoufek, Ladislav & Kukacka, Jiri, 2024. "Good vs. bad volatility in major cryptocurrencies: The dichotomy and drivers of connectedness," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 96(C).
    389. Dungey, Mardi & Islam, Raisul & Volkov, Vladimir, 2020. "Crisis transmission: Visualizing vulnerability," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).

Articles

  1. Evans, D.L. & Falagán, N. & Hardman, C.A. & Kourmpetli, S. & Liu, L. & Mead, B.R. & Davies, J.A.C., 2022. "Ecosystem service delivery by urban agriculture and green infrastructure – a systematic review," Ecosystem Services, Elsevier, vol. 54(C).

    Cited by:

    1. Lige Bao & Yifei Liu, 2025. "Spatiotemporal Effects and Driving Factors of Ecosystem Services Trade-Offs in the Beijing Plain Area," Land, MDPI, vol. 14(5), pages 1-22, April.
    2. Tianwen Wang & Xiaofei Du & Guanqing Feng & Haihui Hu, 2025. "Hidden Greens, Hidden Inequities? Evaluating Accessibility and Spatial Equity of Non-Park Green Spaces in London," Sustainability, MDPI, vol. 17(20), pages 1-22, October.
    3. Silvio Caputo & Victoria Schoen & Chris Blythe, 2023. "Productivity and Efficiency of Community Gardens: Case Studies from the UK," Land, MDPI, vol. 12(1), pages 1-19, January.
    4. Goździewicz-Biechońska, Justyna & Brzezińska-Rawa, Anna, 2022. "Protecting ecosystem services of urban agriculture against land-use change using market-based instruments. A Polish perspective," Land Use Policy, Elsevier, vol. 120(C).
    5. Parisa Almasi & Francesco Pagliacci & Francesco Bettella & Lucia Bortolini & Vincenzo D’Agostino, 2025. "Benefits, co-benefits, and trade-offs in natural water retention measures: a review of classifications and indicators," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(14), pages 16205-16246, August.
    6. Mariana Oliveira & Remo Santagata & Serena Kaiser & Yanxin Liu & Chiara Vassillo & Patrizia Ghisellini & Gengyuan Liu & Sergio Ulgiati, 2022. "Socioeconomic and Environmental Benefits of Expanding Urban Green Areas: A Joint Application of i-Tree and LCA Approaches," Land, MDPI, vol. 11(12), pages 1-16, November.
    7. Alicja Krzemińska & Anna Zaręba & Mariusz Adynkiewicz-Piragas & Haifeng Jia & María Guadalupe Alpuche Cruz & Luis Antonio Valle Cordero, 2025. "Underground Food Farms as a Climate-Friendly Alternative Form of Urban Agriculture," Sustainability, MDPI, vol. 17(21), pages 1-29, October.
    8. Nápoles-Vértiz, Sonia & Caro-Borrero, Angela, 2024. "Conceptual diversity and application of ecosystem services and disservices: A systematic review," Ecosystem Services, Elsevier, vol. 67(C).
    9. Nazmul Haque, Md. & Sharifi, Ayyoob, 2024. "Justice in access to urban ecosystem services: A critical review of the literature," Ecosystem Services, Elsevier, vol. 67(C).
    10. Krzysztof Mitelsztedt & Mariusz Ciesielski & Tomasz Hycza & Marek Lisańczuk & Kacper Guderski & Sylwia Kurpiewska & Krzysztof Korzeniewski, 2025. "Exploring the Possibilities of Implementing the ALS-Based 3-30-300 Concept for Urban Green Space Management in Small Municipalities," Land, MDPI, vol. 14(2), pages 1-19, February.
    11. Khosravi, Faramarz & Izbirak, Gokhan, 2024. "A framework of index system for gauging the sustainability of iranian provinces by fusing analytical hierarchy process (AHP) and rough set theory (RST)," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    12. Xiaoqi Yang & Takeshi Kinoshita & Qian Wang & Yifan Chen, 2025. "Systematic Literature Review and Meta‐Analysis of Landscape‐Scale Green Infrastructure Identification," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(S1), pages 475-500, November.
    13. Savo, Valentina & D’Amato, Luca & Bartoli, Flavia & Zappitelli, Ilaria & Caneva, Giulia, 2025. "Evaluation of main regulating, provisioning, and supporting ecosystem services of urban street trees: A literature review," Ecosystem Services, Elsevier, vol. 71(C).
    14. Mingjie Song & Shicheng Li & Basanta Paudel & Fangjie Pan, 2025. "A Framework for Multifunctional Green Infrastructure Planning Based on Ecosystem Service Synergy/Trade-Off Analysis: Application in the Qinling–Daba Mountain Area," Land, MDPI, vol. 14(6), pages 1-22, June.
    15. Giulio Senes & Chiara Parretta & Natalia Fumagalli & Patrizia Tassinari & Daniele Torreggiani, 2023. "Soft Mobility Network for the Enhancement and Discovery of the Rural Landscape: Definition of a Masterplan for Alto Ferrarese (Italy)," Land, MDPI, vol. 12(3), pages 1-24, February.
    16. Shuyao Wu & Delong Li & Ximan Sun & Kai-di Liu & Wentao Zhang & Binbin V. Li & Shuangcheng Li & Lumeng Liu & Fangjin Xu & Jinwei Dong & Laibao Liu & Weili Duan & Zhonghao Zhang, 2026. "Ecosystem service demand relationship and trade-off patterns in urban parks across China," Papers 2602.11442, arXiv.org, revised May 2026.
    17. Weiyao Yang & Wanglin Yan & Lihua Chen & Haichen Wei & Shuang Gan, 2024. "Developing a TOD assessment model based on node–place–ecology for suburban areas of metropolitan cities: A case in Odawara," Environment and Planning B, , vol. 51(4), pages 839-853, May.
    18. Yuchen Cheng & Lijun Pan & Haobo Tan & Ximei Liu, 2024. "Effects of producer service industry co-agglomeration and manufacturing on the green and high-end transformation of manufacturing: An empirical study from Hunan Province," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-18, September.
    19. Congxian He & Lulu Yu & Huwei Wen, 2026. "Subsidies and farming: A microempirical analysis of financial allocation to promote agricultural production," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 72(3), pages 156-170.

  2. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    See citations under working paper version above.
  3. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Forecasting With Dynamic Panel Data Models," Econometrica, Econometric Society, vol. 88(1), pages 171-201, January.
    See citations under working paper version above.
  4. Laura Liu & Christian Matthes & Katerina Petrova & Jessica Sackett Romero, 2019. "Monetary Policy across Space and Time," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue August.
    See citations under working paper version above.
  5. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    See citations under working paper version above.

Chapters

  1. Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Commodity Connectedness," Central Banking, Analysis, and Economic Policies Book Series, in: Enrique G. Mendoza & Ernesto Pastén & Diego Saravia (ed.),Monetary Policy and Global Spillovers: Mechanisms, Effects and Policy Measures, edition 1, volume 25, chapter 4, pages 097-136, Central Bank of Chile.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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