IDEAS home Printed from https://ideas.repec.org/e/c/ppl71.html
   My authors  Follow this author

Vasilios Plakandaras

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. Vasilios Plakandaras & Rangan Gupta & Sayar Karmakar & Mark E. Wohar, 2022. "Is Real Interest Rate a Monetary Phenomenon in Advanced Economies? Time-Varying Evidence from Over 700 Years of Data," Working Papers 202245, University of Pretoria, Department of Economics.

    Cited by:

    1. Edvinsson, Rodney & Karlsson, Sune & Österholm, Pär, 2023. "Does Money Growth Predict Inflation? Evidence from Vector Autoregressions Using Four Centuries of Data," Working Papers 2023:3, Örebro University, School of Business.

  2. Vasilios Plakandaras & Rangan Gupta & Mehmet Balcilar & Qiang Ji, 2021. "Evolving United States Stock Market Volatility: The Role of Conventional and Unconventional Monetary Policies," Working Papers 202113, University of Pretoria, Department of Economics.

    Cited by:

    1. Christophe Andre & Petre Caraiani & Rangan Gupta, 2023. "Fiscal Policy and Stock Markets at the Effective Lower Bound," Working Papers 202309, University of Pretoria, Department of Economics.
    2. Jin, Yi & Wang, Shuo & Bu, Lin & Zhai, Pengxiang, 2023. "Unconventional, conventional monetary policies, and optimal energy supply structure in China," Finance Research Letters, Elsevier, vol. 54(C).
    3. Roudari, Soheil & Mensi, Walid & Kharusi, Sami Al & Ahmadian-Yazdi, Farzaneh, 2023. "Impacts of oil shocks on stock markets in Norway and Japan: Does monetary policy's effectiveness matter?," International Economics, Elsevier, vol. 173(C), pages 343-358.
    4. Dridi, Ichrak & Boughrara, Adel, 2023. "Flexible inflation targeting and stock market volatility: Evidence from emerging market economies," Economic Modelling, Elsevier, vol. 126(C).
    5. Caraiani, Petre & Gupta, Rangan & Nel, Jacobus & Nielsen, Joshua, 2023. "Monetary policy and bubbles in G7 economies using a panel VAR approach: Implications for sustainable development," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 133-155.

  3. Vasilios Plakandaras & Elie Bouri & Rangan Gupta, 2019. "Forecasting Bitcoin Returns: Is there a Role for the U.S. – China Trade War?," Working Papers 201980, University of Pretoria, Department of Economics.

    Cited by:

    1. Tobias Burggraf, 2020. "Bitcoin and Global Political Uncertainty – Evidence from the U.S. Election Cycle," Economics Bulletin, AccessEcon, vol. 40(1), pages 727-742.
    2. Fahad Mostafa & Pritam Saha & Mohammad Rafiqul Islam & Nguyet Nguyen, 2021. "GJR-GARCH Volatility Modeling under NIG and ANN for Predicting Top Cryptocurrencies," JRFM, MDPI, vol. 14(9), pages 1-22, September.

  4. Vasilios Plakandaras & Aviral Kumar Tiwari & Rangan Gupta & Qiang Ji, 2019. "Spillover of Sentiment in the European Union: Evidence from Time- and Frequency-Domains," Working Papers 201909, University of Pretoria, Department of Economics.

    Cited by:

    1. Renee van Eyden & Rangan Gupta & Joshua Nielsen & Elie Bouri, 2022. "Investor Sentiment and Multi-Scale Positive and Negative Stock Market Bubbles in a Panel of G7 Countries," Working Papers 202256, University of Pretoria, Department of Economics.
    2. Mbarki, Imen & Omri, Abdelwahed & Naeem, Muhammad Abubakr, 2022. "From sentiment to systemic risk: Information transmission in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    3. Zhang, Hongwei & Hong, Huojun & Guo, Yaoqi & Yang, Cai, 2022. "Information spillover effects from media coverage to the crude oil, gold, and Bitcoin markets during the COVID-19 pandemic: Evidence from the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 267-285.
    4. Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
    5. Sheng Cheng & Wei Liu & Qisheng Jiang & Yan Cao, 2023. "Multi–Scale Risk Connectedness Between Economic Policy Uncertainty of China and Global Oil Prices in Time–Frequency Domains," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1593-1616, April.

  5. Vasilios Plakandaras & Rangan Gupta & Wing-Keung Wong, 2018. "Point and Density Forecasts of Oil Returns: The Role of Geopolitical Risks," Working Papers 201847, University of Pretoria, Department of Economics.

    Cited by:

    1. Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
    2. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    3. Nonejad, Nima, 2021. "Predicting equity premium using news-based economic policy uncertainty: Not all uncertainty changes are equally important," International Review of Financial Analysis, Elsevier, vol. 77(C).
    4. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    5. Li, Yingli & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic spillovers of geopolitical risks and gold prices: New evidence from 18 emerging economies," Resources Policy, Elsevier, vol. 70(C).
    6. Riza Demirer & Rangan Gupta & Qiang Ji & Aviral Kumar Tiwari, 2018. "Geopolitical Risks and the Predictability of Regional Oil Returns and Volatility," Working Papers 201860, University of Pretoria, Department of Economics.
    7. Faheem Aslam & Paulo Ferreira & Haider Ali & Ana Ercília José, 2022. "Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    8. Mansour-Ichrakieh, Layal, 2020. "The impact of Israeli Geopolitical Risks on the Lebanese Financial Market: A Destabilizer Multiplier," MPRA Paper 99376, University Library of Munich, Germany.
    9. Wang, Zhe & Teng, Yin-Pei & Wu, Shuzhao & Liu, Yuxiang & Liu, Xianchang, 2023. "Geopolitical risk, financial system and natural resources extraction: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    10. Boying Li & Chun-Ping Chang & Yin Chu & Bo Sui, 2020. "Oil prices and geopolitical risks: What implications are offered via multi-domain investigations?," Energy & Environment, , vol. 31(3), pages 492-516, May.
    11. Lee, Chi-Chuan & Tang, Huayun & Li, Ding, 2022. "The roles of oil shocks and geopolitical uncertainties on China’s green bond returns," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 494-505.
    12. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    13. Cai, Yifei & Wu, Yanrui, 2021. "Time-varying interactions between geopolitical risks and renewable energy consumption," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 116-137.
    14. Nonejad, Nima, 2022. "An interesting finding about the ability of geopolitical risk to forecast aggregate equity return volatility out-of-sample," Finance Research Letters, Elsevier, vol. 47(PB).
    15. Rangan Gupta & Sayar Karmakar & Christian Pierdzioch, 2022. "Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data," Working Papers 202201, University of Pretoria, Department of Economics.
    16. Yang, Cai & Niu, Zibo & Gao, Wang, 2022. "The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach," Resources Policy, Elsevier, vol. 76(C).
    17. Sarit Maitra, 2023. "Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation," Papers 2310.01123, arXiv.org, revised Oct 2023.
    18. Lee, Chi-Chuan & Lee, Chien-Chiang & Li, Yong-Yi, 2021. "Oil price shocks, geopolitical risks, and green bond market dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    19. Qin, Yun & Hong, Kairong & Chen, Jinyu & Zhang, Zitao, 2020. "Asymmetric effects of geopolitical risks on energy returns and volatility under different market conditions," Energy Economics, Elsevier, vol. 90(C).
    20. Guo, Jingjun & Zhao, Zhengling & Sun, Jingyun & Sun, Shaolong, 2022. "Multi-perspective crude oil price forecasting with a new decomposition-ensemble framework," Resources Policy, Elsevier, vol. 77(C).
    21. Cheikh, Nidhaleddine Ben & Zaied, Younes Ben, 2023. "Investigating the dynamics of crude oil and clean energy markets in times of geopolitical tensions," Energy Economics, Elsevier, vol. 124(C).
    22. Si Mohammed, Kamel & Khalfaoui, Rabeh & Doğan, Buhari & Sharma, Gagan Deep & Mentel, Urszula, 2023. "The reaction of the metal and gold resource planning in the post-COVID-19 era and Russia-Ukrainian conflict: Role of fossil fuel markets for portfolio hedging strategies," Resources Policy, Elsevier, vol. 83(C).
    23. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
    24. Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
    25. Xiao, Jihong & Liu, Hong, 2023. "The time-varying impact of uncertainty on oil market fear: Does climate policy uncertainty matter?," Resources Policy, Elsevier, vol. 82(C).
    26. Aysan, Ahmet Faruk & Polat, Ali Yavuz & Tekin, Hasan & Tunalı, Ahmet Semih, 2022. "The Ascent of Geopolitics: Scientometric Analysis and Ramifications of Geopolitical Risk," MPRA Paper 112741, University Library of Munich, Germany.
    27. Klepikov, Vladimir Pavlovich & Klepikov, Vladimir Vladimirovich, 2020. "Quantitative approach to estimating crude oil supply in Southern Europe," Resources Policy, Elsevier, vol. 69(C).
    28. Salisu, Afees A. & Adediran, Idris & Omoke, Philip C. & Tchankam, Jean Paul, 2023. "Gold and tail risks," Resources Policy, Elsevier, vol. 80(C).
    29. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
    30. Tang, Yumei & Chen, Xihui Haviour & Sarker, Provash Kumer & Baroudi, Sarra, 2023. "Asymmetric effects of geopolitical risks and uncertainties on green bond markets," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    31. Layal Mansour-Ichrakieh, 2021. "The Impact of Israeli and Saudi Arabian Geopolitical Risks on the Lebanese Financial Market," JRFM, MDPI, vol. 14(3), pages 1-24, February.
    32. Le, Thanh Ha, 2023. "Quantile time-frequency connectedness between cryptocurrency volatility and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia conflicts," Renewable Energy, Elsevier, vol. 202(C), pages 613-625.
    33. Yang, Jianlei & Yang, Chunpeng, 2021. "The impact of mixed-frequency geopolitical risk on stock market returns," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 226-240.
    34. Νikolaos A. Kyriazis, 2021. "The effects of geopolitical uncertainty on cryptocurrencies and other financial assets," SN Business & Economics, Springer, vol. 1(1), pages 1-14, January.
    35. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 77(C).
    36. Liu, Jing & Ma, Feng & Tang, Yingkai & Zhang, Yaojie, 2019. "Geopolitical risk and oil volatility: A new insight," Energy Economics, Elsevier, vol. 84(C).
    37. Afees A. Salisu & Christian Pierdzioch & Rangan Gupta, 2021. "Geopolitical Risk and Forecastability of Tail Risk in the Oil Market: Evidence from Over a Century of Monthly Data," Working Papers 202122, University of Pretoria, Department of Economics.
    38. Zhang, Zhikai & Wang, Yudong & Li, Bin, 2023. "Asymmetric spillover of geopolitical risk and oil price volatility: A global perspective," Resources Policy, Elsevier, vol. 83(C).
    39. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2022. "Geopolitical risk trends and crude oil price predictability," Energy, Elsevier, vol. 258(C).
    40. Foglia, Matteo & Palomba, Giulio & Tedeschi, Marco, 2023. "Disentangling the geopolitical risk and its effects on commodities. Evidence from a panel of G8 countries," Resources Policy, Elsevier, vol. 85(PB).
    41. Gong, Xu & Sun, Yi & Du, Zhili, 2022. "Geopolitical risk and China's oil security," Energy Policy, Elsevier, vol. 163(C).
    42. Xiafei Li & Yu Wei & Xiaodan Chen & Feng Ma & Chao Liang & Wang Chen, 2022. "Which uncertainty is powerful to forecast crude oil market volatility? New evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4279-4297, October.
    43. Ahdi Noomen Ajmi & Roula Inglesi-Lotz, 2021. "Revisiting the Kuznets Curve Hypothesis for Tunisia: Carbon Dioxide vs. Ecological Footprint," Working Papers 202171, University of Pretoria, Department of Economics.
    44. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Vo, Xuan Vinh, 2023. "Oil tail risks and the realized variance of consumer prices in advanced economies," Resources Policy, Elsevier, vol. 83(C).
    45. Li, Sufang & Tu, Dalun & Zeng, Yan & Gong, Chenggang & Yuan, Di, 2022. "Does geopolitical risk matter in crude oil and stock markets? Evidence from disaggregated data," Energy Economics, Elsevier, vol. 113(C).
    46. Song, Yixuan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market volatility: A newspaper-based predictor regarding petroleum market volatility," Resources Policy, Elsevier, vol. 79(C).
    47. Aloui, Donia & Benkraiem, Ramzi & Guesmi, Khaled & Mzoughi, Hela, 2023. "Managing natural resource prices in a geopolitical risk environment," Resources Policy, Elsevier, vol. 83(C).
    48. Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
    49. Guo, Yating & Wong, Wing-Keung & Su, Nan & Ghardallou, Wafa & Orosco Gavilán, Juan Carlos & Uyen, Pham Thi Minh & Cong, Phan The, 2023. "Resource curse hypothesis and economic growth: A global analysis using bootstrapped panel quantile regression analysis," Resources Policy, Elsevier, vol. 85(PA).
    50. Choi, Sun-Yong, 2022. "Evidence from a multiple and partial wavelet analysis on the impact of geopolitical concerns on stock markets in North-East Asian countries," Finance Research Letters, Elsevier, vol. 46(PB).
    51. Gong, Xiao-Li & Feng, Yong-Kang & Liu, Jian-Min & Xiong, Xiong, 2023. "Study on international energy market and geopolitical risk contagion based on complex network," Resources Policy, Elsevier, vol. 82(C).
    52. Wu, Chunying & Wang, Jianzhou & Hao, Yan, 2022. "Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm," Resources Policy, Elsevier, vol. 77(C).
    53. Zhang, Jialin & Shi, Shaodong, 2023. "Extraction of natural resources and geopolitical risk revisited: A novel perspective of research and development with financial development," Resources Policy, Elsevier, vol. 85(PA).
    54. Wang, Kai-Hua & Su, Chi-Wei & Umar, Muhammad, 2021. "Geopolitical risk and crude oil security: A Chinese perspective," Energy, Elsevier, vol. 219(C).
    55. Sohag, Kazi & Hammoudeh, Shawkat & Elsayed, Ahmed H. & Mariev, Oleg & Safonova, Yulia, 2022. "Do geopolitical events transmit opportunity or threat to green markets? Decomposed measures of geopolitical risks," Energy Economics, Elsevier, vol. 111(C).
    56. Wang, Lu & Ma, Feng & Hao, Jianyang & Gao, Xinxin, 2021. "Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?," International Review of Financial Analysis, Elsevier, vol. 76(C).
    57. Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020. "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, vol. 68(C).
    58. Ding, Lili & Zhao, Zhongchao & Han, Meng, 2021. "Probability density forecasts for steam coal prices in China: The role of high-frequency factors," Energy, Elsevier, vol. 220(C).
    59. Evrim Mandaci, Pınar & Azimli, Asil & Mandaci, Nazif, 2023. "The impact of geopolitical risks on connectedness among natural resource commodities: A quantile vector autoregressive approach," Resources Policy, Elsevier, vol. 85(PA).

  6. Nikolaos Antonakakis & David Gabauer & Rangan Gupta & Vasilios Plakandaras, 2018. "Dynamic Connectedness of Uncertainty across Developed Economies: A Time-Varying Approach," Working Papers 201802, University of Pretoria, Department of Economics.

    Cited by:

    1. Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021. "Return connectedness across asset classes around the COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 73(C).
    2. Dai, Zhifeng & Zhu, Haoyang & Zhang, Xinhua, 2022. "Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle," Energy Economics, Elsevier, vol. 109(C).
    3. Elsayed, Ahmed H. & Gozgor, Giray & Lau, Chi Keung Marco, 2022. "Risk transmissions between bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties," International Review of Financial Analysis, Elsevier, vol. 81(C).
    4. Cui Jinxin & Zou Huiwen, 2020. "Connectedness Among Economic Policy Uncertainties: Evidence from the Time and Frequency Domain Perspectives," Journal of Systems Science and Information, De Gruyter, vol. 8(5), pages 401-433, October.
    5. Jaewon Jung, 2023. "Multinational Firms and Economic Integration: The Role of Global Uncertainty," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
    6. Dai, Zhifeng & Peng, Yongxin, 2022. "Economic policy uncertainty and stock market sector time-varying spillover effect: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    7. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan, 2019. "Greek economic policy uncertainty: Does it matter for Europe? Evidence from a dynamic connectedness decomposition approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    8. Ioannis Chatziantoniou & David Gabauer & Rangan Gupta, 2021. "Integration and Risk Transmission in the Market for Crude Oil: A Time-Varying Parameter Frequency Connectedness Approach," Working Papers 202147, University of Pretoria, Department of Economics.
    9. Aviral Kumar Tiwari & Micheal Kofi Boachie & Rangan Gupta, 2019. "Network Analysis of Economic and Financial Uncertainties in Advanced Economies: Evidence from Graph-Theory," Working Papers 201982, University of Pretoria, Department of Economics.
    10. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    11. Gabauer, David & Chatziantoniou, Ioannis & Stenfors, Alexis, 2023. "Model-free connectedness measures," Finance Research Letters, Elsevier, vol. 54(C).
    12. Duan, Kun & Zhao, Yanqi & Urquhart, Andrew & Huang, Yingying, 2023. "Do clean and dirty cryptocurrencies connect with financial assets differently? The role of economic policy uncertainty," Energy Economics, Elsevier, vol. 127(PA).
    13. Dai, Zhifeng & Zhu, Haoyang, 2023. "Dynamic risk spillover among crude oil, economic policy uncertainty and Chinese financial sectors," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 421-450.
    14. Chang, Kuang-Liang, 2021. "Do U.S. and Japanese uncertainty shocks play important roles in affecting transition mechanisms of Japanese stock market?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    15. Qi, Xiaohong & Zhang, Guofu, 2022. "Dynamic connectedness of China’s green bonds and asset classes," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    16. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    17. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2021. "How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 70(C).
    18. Gong, Yuting & He, Zhongzhi & Xue, Wenjun, 2022. "EPU spillovers and stock return predictability: A cross-country study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    19. Gabauer, David & Gupta, Rangan, 2020. "Spillovers across macroeconomic, financial and real estate uncertainties: A time-varying approach," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 167-173.
    20. Afees A. Salisu & Rangan Gupta & Idris A. Adediran, 2021. "The Effect of US Uncertainty Shock on International Equity Markets: The Role of the Global Financial Cycle," Working Papers 202136, University of Pretoria, Department of Economics.
    21. Siphumlile Mangisa & Sonali Das & Rangan Gupta, 2022. "Analyzing The Impact Of Brexit On Global Uncertainty Using Functional Linear Regression With Point Of Impact: The Role Of Currency And Equity Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 67(04), pages 1377-1388, June.
    22. Pawan Kumar & Vipul Kumar Singh, 2023. "Examining the Time Varying Spillover Dynamics of Indian Financial Indictors from Global and Local Economic Uncertainty," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 99-121, March.
    23. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2021. "The Financial US Uncertainty Spillover Multiplier: Evidence from a GVAR Model," Working Papers 202145, University of Pretoria, Department of Economics.
    24. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les & Xu, Danyang, 2021. "Pandemic-related financial market volatility spillovers: Evidence from the Chinese COVID-19 epicentre," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 55-81.
    25. Apostolakis, George N. & Floros, Christos & Giannellis, Nikolaos, 2022. "On bank return and volatility spillovers: Identifying transmitters and receivers during crisis periods," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 156-176.
    26. Zhou, Yuqin & Liu, Zhenhua & Wu, Shan, 2022. "The global economic policy uncertainty spillover analysis: In the background of COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 61(C).
    27. Aharon, David Y. & Kizys, Renatas & Umar, Zaghum & Zaremba, Adam, 2023. "Did David win a battle or the war against Goliath? Dynamic return and volatility connectedness between the GameStop stock and the high short interest indices," Research in International Business and Finance, Elsevier, vol. 64(C).
    28. Julián Andrada-Félix & Adrian Fernandez-Perez & Simón Sosvilla-Rivero, 2021. "Stress Spillovers among Financial Markets: Evidence from Spain," JRFM, MDPI, vol. 14(11), pages 1-21, November.
    29. Besma Hkiri & Juncal Cunado & Mehmet Balcilar & Rangan Gupta, 2019. "Time-Varying Relationship between Conventional and Unconventional Monetary Policies and Risk Aversion: International Evidence from Time- and Frequency-Domains," Working Papers 201965, University of Pretoria, Department of Economics.
    30. Luo, Keyu & Guo, Qiang & Li, Xiafei, 2022. "Can the return connectedness indices from grey energy to natural gas help to forecast the natural gas returns?," Energy Economics, Elsevier, vol. 109(C).
    31. Dong, Zibing & Li, Yanshuang & Zhuang, Xintian & Wang, Jian, 2022. "Impacts of COVID-19 on global stock sectors: Evidence from time-varying connectedness and asymmetric nexus analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    32. Aharon, David Y. & Umar, Zaghum & Aziz, Mukhriz Izraf Azman & Vo, Xuan vinh, 2022. "COVID-19 related media sentiment and the yield curve of G-7 economies," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    33. Oliyide, Johnson A. & Adekoya, Oluwasegun B. & Khan, Muhammad A., 2021. "Economic policy uncertainty and the volatility connectedness between oil shocks and metal market: An extension," International Economics, Elsevier, vol. 167(C), pages 136-150.
    34. Qi, Haozhi & Ma, Lijun & Peng, Pin & Chen, Hao & Li, Kang, 2022. "Dynamic connectedness between clean energy stock markets and energy commodity markets during times of COVID-19: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    35. Andrada-Félix, Julián & Fernandez-Perez, Adrian & Sosvilla-Rivero, Simón, 2020. "Distant or close cousins: Connectedness between cryptocurrencies and traditional currencies volatilities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    36. Wan, Yang & He, Shi, 2021. "Dynamic connectedness of currencies in G7 countries: A Bayesian time-varying approach," Finance Research Letters, Elsevier, vol. 41(C).
    37. Mahdi Ghaemi Asl & Oluwasegun B. Adekoya & Muhammad Mahdi Rashidi, 2023. "Quantiles dependence and dynamic connectedness between distributed ledger technology and sectoral stocks: enhancing the supply chain and investment decisions with digital platforms," Annals of Operations Research, Springer, vol. 327(1), pages 435-464, August.
    38. Chatziantoniou, Ioannis & Gabauer, David & Perez de Gracia, Fernando, 2022. "Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 111(C).
    39. 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.
    40. OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    41. Dai, Zhifeng & Zhu, Haoyang, 2022. "Time-varying spillover effects and investment strategies between WTI crude oil, natural gas and Chinese stock markets related to belt and road initiative," Energy Economics, Elsevier, vol. 108(C).
    42. Aharon, David Y. & Qadan, Mahmoud, 2022. "Infection, invasion, and inflation: Recent lessons," Finance Research Letters, Elsevier, vol. 50(C).
    43. Li, Jingpeng & Umar, Muhammad & Huo, Jiale, 2023. "The spillover effect between Chinese crude oil futures market and Chinese green energy stock market," Energy Economics, Elsevier, vol. 119(C).
    44. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.
    45. Christophe Andre & David Gabauer & Rangan Gupta, 2020. "Time-Varying Spillovers between Housing Sentiment and Housing Market in the United States," Working Papers 202091, University of Pretoria, Department of Economics.
    46. Chen, Hao & Xu, Chao & Peng, Yun, 2022. "Time-frequency connectedness between energy and nonenergy commodity markets during COVID-19: Evidence from China," Resources Policy, Elsevier, vol. 78(C).
    47. Chan, Ying Tung & Qiao, Hui, 2023. "Volatility spillover between oil and stock prices: Structural connectedness based on a multi-sector DSGE model approach with Bayesian estimation," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 265-286.
    48. Vladimir Balash & Alexey Faizliev & Sergei Sidorov & Elena Chistopolskaya, 2021. "Conditional Time-Varying General Dynamic Factor Models and Its Application to the Measurement of Volatility Spillovers across Russian Assets," Mathematics, MDPI, vol. 9(19), pages 1-31, October.
    49. 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).
    50. Gupta, Rangan & Lau, Chi-Keung (Marco) & Sheng, Xin, 2020. "Graph theory-based network analysis of regional uncertainties of the US Economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    51. Ioannis Chatziantoniou & David Gabauer & Hardik A. Marfatia, 2020. "Dynamic Connectedness And Spillovers Across Sectors: Evidence From The Indian Stock Market," Working Papers in Economics & Finance 2020-04, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    52. Dogah, Kingsley E., 2021. "Effect of trade and economic policy uncertainties on regional systemic risk: Evidence from ASEAN," Economic Modelling, Elsevier, vol. 104(C).
    53. 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).
    54. Chenlu Tao & Gang Diao & Baodong Cheng, 2021. "The Dynamic Impact of the COVID-19 Pandemic on Air Quality: The Beijing Lessons," IJERPH, MDPI, vol. 18(12), pages 1-12, June.
    55. Wen, Fenghua & Cao, Jiahui & Liu, Zhen & Wang, Xiong, 2021. "Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
    56. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    57. Nikolaos Antonakakis & David Gabauer & Rangan Gupta, 2018. "Greek Economic Policy Uncertainty: Does it Matter for the European Union?," Working Papers 201840, University of Pretoria, Department of Economics.
    58. Thobekile Qabhobho & Anokye M. Adam & Anthony Adu-Asare Idun & Emmanuel Asafo-Adjei & Ebenezer Boateng, 2023. "Exploring the Time-varying Connectedness and Contagion Effects among Exchange Rates of BRICS, Energy Commodities, and Volatilities," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 272-283, March.
    59. Faruk Balli & Mabruk Billah & Iftekhar Chowdhury, 2023. "Impact of the Russia–Ukraine war on hospitality equity markets," Tourism Economics, , vol. 29(8), pages 2206-2215, December.
    60. Liuguo Shao & Hua Zhang & Senfeng Chang & Ziyang Wang, 2024. "Dynamic connectedness between China's commodity markets and China's sectoral stock markets: A multidimensional analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 903-926, January.
    61. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2021. "Volatility spillovers during market supply shocks: The case of negative oil prices," Resources Policy, Elsevier, vol. 74(C).
    62. Li, Xiao-Lin & Yan, Jing & Wei, Xiaohui, 2021. "Dynamic connectedness among monetary policy cycle, financial cycle and business cycle in China," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 640-652.
    63. Nong, Huifu, 2021. "Have cross-category spillovers of economic policy uncertainty changed during the US–China trade war?," Journal of Asian Economics, Elsevier, vol. 74(C).
    64. Li, Houjian & Huang, Xinya & Guo, Lili, 2023. "Extreme risk dependence and time-varying spillover between crude oil, commodity market and inflation in China," Energy Economics, Elsevier, vol. 127(PB).
    65. Michael Donadelli & Ivan Gufler, 2021. "Consumption smoothing, risk sharing and financial integration," The World Economy, Wiley Blackwell, vol. 44(1), pages 143-187, January.
    66. Xu, Danyang & Hu, Yang & Corbet, Shaen & Goodell, John W., 2023. "Volatility connectedness between global COVOL and major international volatility indices," Finance Research Letters, Elsevier, vol. 56(C).
    67. Tangyong Liu & Xu Gong & Lizhi Tang, 2022. "The uncertainty spillovers of China's economic policy: Evidence from time and frequency domains," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4541-4555, October.
    68. 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.
    69. Bikramaditya Ghosh & Hayfa Kazouz & Zaghum Umar, 2023. "Do Automated Market Makers in DeFi Ecosystem Exhibit Time-Varying Connectedness during Stressed Events?," JRFM, MDPI, vol. 16(5), pages 1-12, April.
    70. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2022. "Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1049-1064, September.
    71. Ioannis Chatziantoniou & David Gabauer & Alexis Stenfors, 2019. "From CIP-Deviations to a Market for Risk Premia: A Dynamic Investigation of Cross-Currency Basis Swaps," Working Papers in Economics & Finance 2019-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    72. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    73. Christina Christou & Giray Gozgor & Rangan Gupta & Chi keung Marco Lau, 2020. "Are Uncertainties across the World Convergent?," Economics Bulletin, AccessEcon, vol. 40(1), pages 855-862.
    74. David Gabauer & Rangan Gupta, 2018. "On the Transmission Mechanism of Country-Specific and International Economic Uncertainty Spillovers: Evidence from a TVP-VAR Connectedness Decomposition Approach," Working Papers 201829, University of Pretoria, Department of Economics.
    75. Liew, Ping-Xin & Lim, Kian-Ping & Goh, Kim-Leng, 2022. "The dynamics and determinants of liquidity connectedness across financial asset markets," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 341-358.
    76. 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).
    77. Yanele Nyamela & Vasilios Plakandaras & Rangan Gupta, 2020. "Frequency-dependent real-time effects of uncertainty in the United States: evidence from daily data," Applied Economics Letters, Taylor & Francis Journals, vol. 27(19), pages 1562-1566, November.
    78. Zaghum Umar & Saqib Aziz & Dima Tawil, 2021. "The impact of COVID-19 induced panic on the return and volatility of precious metals," Post-Print hal-03330197, HAL.
    79. David Gabauer, 2020. "Volatility impulse response analysis for DCC‐GARCH models: The role of volatility transmission mechanisms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 788-796, August.
    80. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    81. Lastrapes, William D. & Wiesen, Thomas F.P., 2021. "The joint spillover index," Economic Modelling, Elsevier, vol. 94(C), pages 681-691.
    82. Wiesen, Thomas F.P. & Beaumont, Paul M. & Norrbin, Stefan C. & Srivastava, Anuj, 2018. "Are generalized spillover indices overstating connectedness?," Economics Letters, Elsevier, vol. 173(C), pages 131-134.
    83. Śmiech, Sławomir & Papież, Monika & Shahzad, Syed Jawad Hussain, 2020. "Spillover among financial, industrial and consumer uncertainties. The case of EU member states," International Review of Financial Analysis, Elsevier, vol. 70(C).
    84. Tuncer Murathan & Akbulut Nesrin & Turhan Miraç Savaş & Ari Yakup, 2022. "Time-Varying Network Connectedness Between the Organizational Ecology of Transportation and Storage Firms and Macroeconomic Variables," Folia Oeconomica Stetinensia, Sciendo, vol. 22(2), pages 209-223, December.
    85. Huang, Zhuo & Tong, Chen & Qiu, Han & Shen, Yan, 2018. "The spillover of macroeconomic uncertainty between the U.S. and China," Economics Letters, Elsevier, vol. 171(C), pages 123-127.
    86. Zhongzheng, Wang, 2023. "Extreme risk transmission mechanism between oil, green bonds and new energy vehicles," Innovation and Green Development, Elsevier, vol. 2(3).
    87. Zhang, Hongwei & Demirer, Riza & Huang, Jianbai & Huang, Wanjun & Tahir Suleman, Muhammad, 2021. "Economic policy uncertainty and gold return dynamics: Evidence from high-frequency data," Resources Policy, Elsevier, vol. 72(C).
    88. Dai, Zhifeng & Tang, Rui & Zhang, Xiaotong, 2023. "A new multilayer network for measuring interconnectedness among the energy firms," Energy Economics, Elsevier, vol. 124(C).
    89. Cagli, Efe Caglar & Mandaci, Pinar Evrim, 2023. "Time and frequency connectedness of uncertainties in cryptocurrency, stock, currency, energy, and precious metals markets," Emerging Markets Review, Elsevier, vol. 55(C).
    90. Fasanya, Ismail O. & Oliyide, Johnson A. & Adekoya, Oluwasegun B. & Agbatogun, Taofeek, 2021. "How does economic policy uncertainty connect with the dynamic spillovers between precious metals and bitcoin markets?," Resources Policy, Elsevier, vol. 72(C).
    91. Jiang, Junhua & Piljak, Vanja & Tiwari, Aviral Kumar & Äijö, Janne, 2020. "Frequency volatility connectedness across different industries in China," Finance Research Letters, Elsevier, vol. 37(C).
    92. N. L. Balasudarsun & Bikramaditya Ghosh & Sathish Mahendran, 2022. "Impact of Negative Tweets on Diverse Assets during Stressful Events: An Investigation through Time-Varying Connectedness," JRFM, MDPI, vol. 15(6), pages 1-12, June.
    93. Huang, Jianbai & Dong, Xuesong & Zhang, Hongwei & Liu, Jia & Gao, Wang, 2022. "Dynamic and frequency-domain spillover among within and cross-country policy uncertainty, crude oil and gold market: Evidence from US and China," Resources Policy, Elsevier, vol. 78(C).
    94. Tiantian Liu & Shigeyuki Hamori, 2021. "Does Investor Sentiment Affect Clean Energy Stock? Evidence from TVP-VAR-Based Connectedness Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.
    95. Solarin, Sakiru Adebola & Gil-Alana, Luis A., 2021. "The persistence of economic policy uncertainty: Evidence of long range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    96. Yuting Gong & Zhongzhi He & Wenjun Xue, 2023. "EPU spillovers and sovereign CDS spreads: A cross‐country study," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(12), pages 1770-1806, December.
    97. Mishra, Aswini Kumar & Arunachalam, Vairam & Olson, Dennis & Patnaik, Debasis, 2023. "Dynamic connectedness in commodity futures markets during Covid-19 in India: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 82(C).
    98. Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
    99. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).
    100. Naeem, Muhammad Abubakr & Iqbal, Najaf & Karim, Sitara & Lucey, Brian M., 2023. "From forests to faucets to fuel: Investigating the domino effect of extreme risk in timber, water, and energy markets," Finance Research Letters, Elsevier, vol. 55(PB).
    101. Umar, Zaghum & Mokni, Khaled & Escribano, Ana, 2022. "Connectedness between the COVID-19 related media coverage and Islamic equities: The role of economic policy uncertainty," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    102. Dai, Zhifeng & Tang, Rui & Zhang, Xinhua, 2023. "Multilayer network analysis for measuring the inter-connectedness between the oil market and G20 stock markets," Energy Economics, Elsevier, vol. 120(C).
    103. Marfatia, Hardik & Zhao, Wan-Li & Ji, Qiang, 2020. "Uncovering the global network of economic policy uncertainty," Research in International Business and Finance, Elsevier, vol. 53(C).
    104. Ruzhao Gao & Yancai Zhao & Bing Zhang, 2021. "The spillover effects of economic policy uncertainty on the oil, gold, and stock markets: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2134-2141, April.
    105. Gupta, Rangan & Sun, Xiaojin, 2020. "Forecasting economic policy uncertainty of BRIC countries using Bayesian VARs," Economics Letters, Elsevier, vol. 186(C).
    106. Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).
    107. Omneya Abdelsalam & Ahmet Faruk Aysan & Oguzhan Cepni & Mustafa Disli, 2023. "The spillover effects of the COVID-19 pandemic: Which subsectors of tourism have been affected more?," Tourism Economics, , vol. 29(2), pages 559-567, March.
    108. Yao Xiao & Zibing Dong & Shihua Huang & Yanshuang Li & Jian Wang & Xintian Zhuang & Stefan Cristian Gherghina, 2023. "Time-Frequency Volatility Spillovers among Major International Financial Markets: Perspective from Global Extreme Events," Discrete Dynamics in Nature and Society, Hindawi, vol. 2023, pages 1-20, May.
    109. Azmi, Wajahat & Anwer, Zaheer & Azmi, Shujaat Naeem & Nobanee, Haitham, 2023. "How did major global asset classes respond to Silicon Valley Bank failure?," Finance Research Letters, Elsevier, vol. 56(C).
    110. Elie Bouri & Riza Demirer & David Gabauer & Rangan Gupta, 2020. "Sentiment and Financial Market Connectedness: The Role of Investor Happiness," Working Papers 202022, University of Pretoria, Department of Economics.
    111. Le, Thai Hong & Luong, Anh Tram, 2022. "Dynamic spillovers between oil price, stock market, and investor sentiment: Evidence from the United States and Vietnam," Resources Policy, Elsevier, vol. 78(C).
    112. 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).
    113. Plakandaras, Vasilios & Tiwari, Aviral Kumar & Gupta, Rangan & Ji, Qiang, 2020. "Spillover of sentiment in the European Union: Evidence from time- and frequency-domains," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 105-130.
    114. Yanhong Feng & Dilong Xu & Pierre Failler & Tinghui Li, 2020. "Research on the Time-Varying Impact of Economic Policy Uncertainty on Crude Oil Price Fluctuation," Sustainability, MDPI, vol. 12(16), pages 1-24, August.
    115. Francisco Jareño & Ana Escribano & Zaghum Umar, 2023. "The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    116. André, Christophe & Gabauer, David & Gupta, Rangan, 2021. "Time-varying spillovers between housing sentiment and housing market in the United States☆," Finance Research Letters, Elsevier, vol. 42(C).
    117. Rangan Gupta & Chi-Keung (Marco) Lau & Xin Sheng, 2019. "Macroeconomic Uncertainty Connections across the US States: Evidence from a Bayesian Graphical Structural VAR (BGSVAR) Model," Working Papers 201910, University of Pretoria, Department of Economics.
    118. Śmiech, Sławomir & Papież, Monika, 2018. "Volatility spillovers among uncertainty measures. The case of EU member states," MPRA Paper 90319, University Library of Munich, Germany.
    119. Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Safwan Mohd Nor, 2020. "Role of Economic Policy Uncertainty in the Connectedness of Cross-Country Stock Market Volatilities," Mathematics, MDPI, vol. 8(11), pages 1-17, October.
    120. Kazi Sohag & Rogneda Vasilyeva & Alina Urazbaeva & Valentin Voytenkov, 2022. "Stock Market Synchronization: The Role of Geopolitical Risk," JRFM, MDPI, vol. 15(5), pages 1-15, April.
    121. Wang, Tiantian & Wu, Fei & Zhang, Dayong & Ji, Qiang, 2023. "Energy market reforms in China and the time-varying connectedness of domestic and international markets," Energy Economics, Elsevier, vol. 117(C).
    122. Song, Ying & Bouri, Elie & Ghosh, Sajal & Kanjilal, Kakali, 2021. "Rare earth and financial markets: Dynamics of return and volatility connectedness around the COVID-19 outbreak," Resources Policy, Elsevier, vol. 74(C).
    123. Wei‐Fong Pan & James Reade & Shixuan Wang, 2022. "Measuring US regional economic uncertainty," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 1149-1178, September.
    124. Bouri, Elie & Harb, Etienne, 2022. "The size of good and bad volatility shocks does matter for spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    125. Lin Liu, 2021. "U.S. Economic Uncertainty Shocks and China’s Economic Activities: A Time-Varying Perspective," SAGE Open, , vol. 11(3), pages 21582440211, July.
    126. Elsayed, Ahmed H. & Sousa, Ricardo M., 2022. "International monetary policy and cryptocurrency markets: dynamic and spillover effects," LSE Research Online Documents on Economics 115305, London School of Economics and Political Science, LSE Library.
    127. Zhang, Yulian & Hamori, Shigeyuki, 2021. "Do news sentiment and the economic uncertainty caused by public health events impact macroeconomic indicators? Evidence from a TVP-VAR decomposition approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 145-162.
    128. Md. Kausar Alam & Mosab I. Tabash & Mabruk Billah & Sanjeev Kumar & Suhaib Anagreh, 2022. "The Impacts of the Russia–Ukraine Invasion on Global Markets and Commodities: A Dynamic Connectedness among G7 and BRIC Markets," JRFM, MDPI, vol. 15(8), pages 1-20, August.
    129. Sowmya Subramaniam & David Gabauer & Rangan Gupta, 2018. "On the Transmission Mechanism of Asia-Pacific Yield Curve Characteristics," Working Papers 201864, University of Pretoria, Department of Economics.
    130. Jiang, Yonghong & Zhu, Zixuan & Tian, Gengyu & Nie, He, 2019. "Determinants of within and cross-country economic policy uncertainty spillovers: Evidence from US and China," Finance Research Letters, Elsevier, vol. 31(C).
    131. Li, Chao & Yang, Haijun, 2022. "Will memecoins’ surge trigger a crypto crash? Evidence from the connectedness between leading cryptocurrencies and memecoins," Finance Research Letters, Elsevier, vol. 50(C).
    132. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2021. "The realized volatility of commodity futures: Interconnectedness and determinants#," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 139-151.
    133. Mishra, Aswini Kumar & Ghate, Kshitish, 2022. "Dynamic connectedness in non-ferrous commodity markets: Evidence from India using TVP-VAR and DCC-GARCH approaches," Resources Policy, Elsevier, vol. 76(C).
    134. Abiodun Moses Adetokunbo & Afe Success Mevhare, 2024. "The interconnectivity between green stocks, oil prices, and uncertainty surrounding economic policy: indications from the United States," SN Business & Economics, Springer, vol. 4(2), pages 1-26, February.
    135. Yakup Arı, 2022. "TVP-VAR Based CARR-Volatility Connectedness: Evidence from The Russian-Ukraine Conflict," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 7(3), pages 590-607.
    136. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.
    137. Umar, Zaghum & Aziz, Saqib & Tawil, Dima, 2021. "The impact of COVID-19 induced panic on the return and volatility of precious metals," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).

  7. Vasilios Plakandaras & Rangan Gupta & Mark E. Wohar, 2018. "Persistence of Economic Uncertainty: A Comprehensive Analysis," Working Papers 201810, University of Pretoria, Department of Economics.

    Cited by:

    1. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    2. OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    3. Xin Sheng & Rangan Gupta & Oguzhan Cepni, 2022. "Persistence of State-Level Uncertainty of the United States: The Role of Climate Risks," Working Papers 202208, University of Pretoria, Department of Economics.
    4. Christina Christou & Giray Gozgor & Rangan Gupta & Chi keung Marco Lau, 2020. "Are Uncertainties across the World Convergent?," Economics Bulletin, AccessEcon, vol. 40(1), pages 855-862.
    5. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2022. "Commodity and financial markets’ fear before and during COVID-19 pandemic: Persistence and causality analyses," Resources Policy, Elsevier, vol. 76(C).
    6. Solarin, Sakiru Adebola & Gil-Alana, Luis A., 2021. "The persistence of economic policy uncertainty: Evidence of long range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    7. Gupta, Rangan & Sun, Xiaojin, 2020. "Forecasting economic policy uncertainty of BRIC countries using Bayesian VARs," Economics Letters, Elsevier, vol. 186(C).
    8. Jacobus Nel & Rangan Gupta & Mark E. Wohar & Christian Pierdzioch, 2022. "Climate Risks and Predictability of Commodity Returns and Volatility: Evidence from Over 750 Years of Data," Working Papers 202242, University of Pretoria, Department of Economics.

  8. Rangan Gupta & Vasilios Plakandaras, 2018. "Efficiency in BRICS Currency Markets using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Working Papers 201836, University of Pretoria, Department of Economics.

    Cited by:

    1. Aviral Kumar Tiwari & Rangan Gupta & Juncal Cunado & Xin Sheng, 2019. "Testing the White Noise Hypothesis in High-Frequency Housing Returns of the United States," Working Papers 201952, University of Pretoria, Department of Economics.
    2. Lin Liu, 2022. "Economic Uncertainty and Exchange Market Pressure: Evidence From China," SAGE Open, , vol. 12(1), pages 21582440211, January.

  9. Yanele Nyamela & Vasilios Plakandaras & Rangan Gupta, 2018. "Frequency-Dependent Real-Time Effects of Uncertainty in the United States: Evidence from Daily Data," Working Papers 201833, University of Pretoria, Department of Economics.

    Cited by:

    1. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.

  10. Vasilios Plakandaras & Rangan Gupta & Luis A. Gil-Alana & Mark E. Wohar, 2018. "Are BRICS Exchange Rates Chaotic?," Working Papers 201822, University of Pretoria, Department of Economics.

    Cited by:

    1. Omane-Adjepong, Maurice & Alagidede, Imhotep Paul, 2020. "High- and low-level chaos in the time and frequency market returns of leading cryptocurrencies and emerging assets," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    2. Aviral Kumar Tiwari & Rangan Gupta & Juncal Cunado & Xin Sheng, 2019. "Testing the White Noise Hypothesis in High-Frequency Housing Returns of the United States," Working Papers 201952, University of Pretoria, Department of Economics.
    3. Elie Bouri & Riza Demirer & Rangan Gupta & Xiaojin Sun, 2019. "The Predictability of Stock Market Volatility in Emerging Economies: Relative Roles of Local, Regional and Global Business Cycles," Working Papers 201938, University of Pretoria, Department of Economics.
    4. Joao F. Caldeira & Rangan Gupta & Tahir Suleman & Hudson S. Torrent, 2019. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Working Papers 201911, University of Pretoria, Department of Economics.
    5. Oguzhan Cepni & David Gabauer & Rangan Gupta & Khuliso Ramabulana, 2020. "Time-Varying Spillover of US Trade War on the Growth of Emerging Economies," Working Papers 202002, University of Pretoria, Department of Economics.
    6. Rangan Gupta & Vasilios Plakandaras, 2018. "Efficiency in BRICS Currency Markets using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Working Papers 201836, University of Pretoria, Department of Economics.
    7. Tiwari, Aviral Kumar & Aye, Goodness C. & Gupta, Rangan, 2019. "Stock market efficiency analysis using long spans of Data: A multifractal detrended fluctuation approach," Finance Research Letters, Elsevier, vol. 28(C), pages 398-411.
    8. Suman Das & Saikat Sinha Roy, 2021. "Predicting regime switching in BRICS currency volatility: a Markov switching autoregressive approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 165-180, June.

  11. Vasilios Plakandaras & Rangan Gupta & Constantinos Katrakilidis & Mark E. Wohar, 2017. "Time-Varying Role of Macroeconomic Shocks on House Prices in the US and UK: Evidence from Over 150 Years of Data," Working Papers 201765, University of Pretoria, Department of Economics.

    Cited by:

    1. Rangan Gupta & Zhihui Lv & Wing-Keung Wong, 2019. "Macroeconomic Shocks and Changing Dynamics of the U.S. REITs Sector," Sustainability, MDPI, vol. 11(10), pages 1-12, May.
    2. Petre Caraiani & Adrian C. Călin & Rangan Gupta, 2021. "Monetary policy and bubbles in US REITs," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 675-687, June.
    3. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2019. "Property heterogeneity and convergence club formation among local house prices," Journal of Housing Economics, Elsevier, vol. 43(C), pages 1-13.
    4. Petre Caraiani & Rangan Gupta & Chi Keung Marco Lau & Hardik A. Marfatia, 2022. "Effects of Conventional and Unconventional Monetary Policy Shocks on Housing Prices in the United States: The Role of Sentiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(3), pages 241-261, July.
    5. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High-Frequency Impact of Monetary Policy and Macroeconomic Surprises on US MSAs and Aggregate US Housing Returns and Volatility: A GJR-GARCH Approach," Working Papers 201817, University of Pretoria, Department of Economics.
    6. Oguzhan Cepni & Hardik A. Marfatia & Rangan Gupta, 2021. "The Time-Varying Impact of Uncertainty Shocks on the Comovement of Regional Housing Prices of the United Kingdom," Working Papers 202168, University of Pretoria, Department of Economics.
    7. Mehmet Balcilar & Gizem Uzuner & Festus Victor Bekun & Mark E. Wohar, 2023. "Housing price uncertainty and housing prices in the UK in a time-varying environment," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(2), pages 523-549, May.
    8. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna & Mark E. Wohar, 2021. "Uncertainty and Predictability of Real Housing Returns in the United Kingdom: A Regional Analysis," Working Papers 202102, University of Pretoria, Department of Economics.
    9. Mikhail Stolbov & Maria Shchepeleva, 2023. "Sentiment-based indicators of real estate market stress and systemic risk: international evidence," Annals of Finance, Springer, vol. 19(3), pages 355-382, September.
    10. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy, 2019. "Time-varying impact of uncertainty shocks on the US housing market," Economics Letters, Elsevier, vol. 180(C), pages 15-20.
    11. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High Frequency Impact Of Monetary Policy And Macroeconomic Surprises On Us Msas, Aggregate Us Housing Returns And Asymmetric Volatility," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 204-229, December.

  12. Vasilios Plakandaras & Rangan Gupta & Periklis Gogas & Theophilos Papadimitriou, 2017. "Forecasting the U.S. Real House Price Index," Papers 1707.04868, arXiv.org.

    Cited by:

    1. Vasilios Plakandaras & Rangan Gupta & Constantinos Katrakilidis & Mark E. Wohar, 2017. "Time-Varying Role of Macroeconomic Shocks on House Prices in the US and UK: Evidence from Over 150 Years of Data," Working Papers 201765, University of Pretoria, Department of Economics.
    2. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2017. "The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 109-121, March.
    3. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2016. "The Term Premium as a Leading Macroeconomic Indicator," Working Papers 201613, University of Pretoria, Department of Economics.
    4. Kaijian He & Rui Zha & Jun Wu & Kin Keung Lai, 2016. "Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
    5. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta, 2018. "Does Inequality Really Matter in Forecasting Real Housing Returns of the United Kingdom?," Working Papers 201859, University of Pretoria, Department of Economics.
    6. Ti-Ching Peng, 2021. "The effect of hazard shock and disclosure information on property and land prices: a machine-learning assessment in the case of Japan," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 41(1), pages 1-32, February.
    7. George Milunovich, 2020. "Forecasting Australia's real house price index: A comparison of time series and machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1098-1118, November.
    8. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis, 2019. "Forecasting transportation demand for the U.S. market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 195-214.
    9. Mehmet Balcilar & Elie Bouri & Rangan Gupta & Mark E. Wohar, 2018. "Mortgage Default Risks and High-Frequency Predictability of the US Housing Market: A Reconsideration," Working Papers 201875, University of Pretoria, Department of Economics.
    10. Aviral Kumar Tiwari & Rangan Gupta & Mark E. Wohar, 2019. "Is the Housing Market in the United States Really Weakly-Efficient?," Working Papers 201934, University of Pretoria, Department of Economics.
    11. Sommervoll, Åvald & Sommervoll, Dag Einar, 2019. "Learning from man or machine: Spatial fixed effects in urban econometrics," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 239-252.
    12. Vasilios Plakandaras & Elie Bouri & Rangan Gupta, 2019. "Forecasting Bitcoin Returns: Is there a Role for the U.S. – China Trade War?," Working Papers 201980, University of Pretoria, Department of Economics.
    13. McGurk, Zachary, 2020. "US real estate inflation prediction: Exchange rates and net foreign assets," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 53-66.
    14. Yu Zhao & Xi Zhang & Zhongshun Shi & Lei He, 2017. "Grain Price Forecasting Using a Hybrid Stochastic Method," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(05), pages 1-24, October.
    15. Rangan Gupta & Chi Keung Marco Lau & Wendy Nyakabawo, 2018. "Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment," Working Papers 201866, University of Pretoria, Department of Economics.
    16. Oscar Claveria & Enric Monte & Salvador Torra, 2016. "Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(3), pages 341-357, August.
    17. Narayan, Paresh Kumar & Ahmed, Huson Ali & Narayan, Seema, 2017. "Can investors gain from investing in certain sectors?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 160-177.
    18. Sinha, Ankur & Kedas, Satishwar & Kumar, Rishu & Malo, Pekka, 2019. "Buy, Sell or Hold: Entity-Aware Classification of Business News," IIMA Working Papers WP 2019-04-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    19. Sun, Tianyu & Chand, Satish & Sharpe, Keiran, 2018. "Effect of Aging on Urban Land Prices in China," MPRA Paper 89237, University Library of Munich, Germany.

  13. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016. "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers 201685, University of Pretoria, Department of Economics.

    Cited by:

    1. Gupta, Rangan & Kanda, Patrick & Tiwari, Aviral Kumar & Wohar, Mark E., 2019. "Time-varying predictability of oil market movements over a century of data: The role of US financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

  14. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2016. "The Term Premium as a Leading Macroeconomic Indicator," Working Papers 201613, University of Pretoria, Department of Economics.

    Cited by:

    1. Joao F. Caldeira & Rangan Gupta & Tahir Suleman & Hudson S. Torrent, 2019. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Working Papers 201911, University of Pretoria, Department of Economics.
    2. Rangan Gupta & Hylton Hollander & Rudi Steinbach, 2020. "Forecasting output growth using a DSGE-based decomposition of the South African yield curve," Empirical Economics, Springer, vol. 58(1), pages 351-378, January.
    3. Bouri, Elie & Demirer, Riza & Gupta, Rangan & Wohar, Mark E., 2021. "Gold, platinum and the predictability of bond risk premia," Finance Research Letters, Elsevier, vol. 38(C).

  15. Vasilios Plakandaras & Rangan Gupta & Mark E. Wohar, 2016. "The Depreciation of the Pound Post-Brexit: Could it have been Predicted?," Working Papers 201670, University of Pretoria, Department of Economics.

    Cited by:

    1. Ning, Ye & Han, Chenyu & Wang, Yiming, 2018. "The multifractal properties of Euro and Pound exchange rates and comparisons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 578-587.
    2. Dao, Thong M. & McGroarty, Frank & Urquhart, Andrew, 2019. "The Brexit vote and currency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 153-164.
    3. Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019. "Exchange rate returns and volatility: the role of time-varying rare disaster risks," The European Journal of Finance, Taylor & Francis Journals, vol. 25(2), pages 190-203, January.
    4. Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2018. "The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 705-719, November.
    5. Nikolaos A. Kyriazis & Emmanouil M. L. Economou, 2017. "Brexit Decision Effects on European Derivatives Markets: A Sectoral Analysis," Bulletin of Political Economy, Bulletin of Political Economy, vol. 11(1), pages 45-58, June.
    6. Xue, Dong & Minford, Patrick & Meenagh, David, 2018. "How Important are International Financial Market Imperfections for Foreign Exchange Rate Dynamics: A Study of the Sterling Exchange Rate," Cardiff Economics Working Papers E2018/11, Cardiff University, Cardiff Business School, Economics Section.
    7. Akram Alkhatib & Murad Harasheh, 2018. "Performance of Exchange Traded Funds during the Brexit Referendum: An Event Study," IJFS, MDPI, vol. 6(3), pages 1-12, July.
    8. Plakandaras, Vasilios & Tiwari, Aviral Kumar & Gupta, Rangan & Ji, Qiang, 2020. "Spillover of sentiment in the European Union: Evidence from time- and frequency-domains," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 105-130.
    9. Abuzayed, Bana & Al-Fayoumi, Nedal & Bouri, Elie, 2022. "Hedging UK stock portfolios with gold and oil: The impact of Brexit," Resources Policy, Elsevier, vol. 75(C).
    10. Han, Chenyu & Wang, Yiming & Ning, Ye, 2019. "Comparative analysis of the multifractality and efficiency of exchange markets: Evidence from exchange rates dynamics of major world currencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    11. Huang, Yisu & Ma, Feng & Bouri, Elie & Huang, Dengshi, 2023. "A comprehensive investigation on the predictive power of economic policy uncertainty from non-U.S. countries for U.S. stock market returns," International Review of Financial Analysis, Elsevier, vol. 87(C).

  16. Periklis Gogas & Theophilos Papadimitriou & Vasilios Plakandaras & Rangan Gupta, 2015. "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," Working Papers 201548, University of Pretoria, Department of Economics.

    Cited by:

    1. Li, Zheng & Zhou, Bo & Hensher, David A., 2022. "Forecasting automobile gasoline demand in Australia using machine learning-based regression," Energy, Elsevier, vol. 239(PD).
    2. Joao F. Caldeira & Rangan Gupta & Tahir Suleman & Hudson S. Torrent, 2019. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Working Papers 201911, University of Pretoria, Department of Economics.
    3. Oguzhan Cepni & Rangan Gupta & Cenk C. Karahan & Brian M. Lucey, 2020. "Oil Price Shocks and Yield Curve Dynamics in Emerging Markets," Working Papers 202036, University of Pretoria, Department of Economics.
    4. Bouri, Elie & Demirer, Riza & Gupta, Rangan & Wohar, Mark E., 2021. "Gold, platinum and the predictability of bond risk premia," Finance Research Letters, Elsevier, vol. 38(C).
    5. Çepni, Oğuzhan & Guney, I. Ethem & Gupta, Rangan & Wohar, Mark E., 2020. "The role of an aligned investor sentiment index in predicting bond risk premia of the U.S," Journal of Financial Markets, Elsevier, vol. 51(C).
    6. Francisco Jareño & Ana Escribano & Zaghum Umar, 2023. "The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.

  17. Vasilios Plakandaras & Theophilos Papadimitriou & Periklis Gogas & Konstantinos Diamantaras, 2014. "Market Sentiment and Exchange Rate Directional Forecasting," Working Paper series 37_14, Rimini Centre for Economic Analysis.

    Cited by:

    1. Sergey Nasekin & Cathy Yi-Hsuan Chen, 2020. "Deep learning-based cryptocurrency sentiment construction," Digital Finance, Springer, vol. 2(1), pages 39-67, September.
    2. Periklis Gogas & Theofilos Papadimitriou & Dimitrios Karagkiozis, 2018. "The Fama 3 and Fama 5 factor models under a machine learning framework," Working Paper series 18-05, Rimini Centre for Economic Analysis.
    3. Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2018. "The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 705-719, November.
    4. Syed Jawad Hussain Shahzad & Clement Kweku Kyei & Rangan Gupta & Eric Olson, 2020. "Investor Sentiment and Dollar-Pound Exchange Rate Returns: Evidence from Over a Century of Data Using a Cross-Quantilogram Approach," Working Papers 202008, University of Pretoria, Department of Economics.
    5. Rangan Gupta & Vasilios Plakandaras, 2018. "Efficiency in BRICS Currency Markets using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Working Papers 201836, University of Pretoria, Department of Economics.
    6. Omotosho, Babatunde S. & Tumala, Mohammed M., 2019. "A Text Mining Analysis of Central Bank Monetary Policy Communication in Nigeria," MPRA Paper 98850, University Library of Munich, Germany.
    7. Rahimi, Fatemeh & Mousavian Anaraki, Seyed Alireza, 2020. "Proposing an Innovative Model Based on the Sierpinski Triangle for Forecasting EUR/USD Direction Changes," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(4), pages 423-444, October.
    8. Omotosho, Babatunde S., 2020. "Central Bank Communication during Economic Recessions: Evidence from Nigeria," MPRA Paper 99655, University Library of Munich, Germany.

  18. Vasilios Plakandaras & Periklis Gogas & Rangan Gupta & Theophilos Papadimitriou, 2014. "US Inflation Dynamics on Long Range Data," Working Papers 201452, University of Pretoria, Department of Economics.

    Cited by:

    1. Yingying XU & Zhixin LIU & Jaime ORTIZ, 2018. "Actual and Expected Inflation in the U.S.: A Time-Frequency View," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 42-62, December.
    2. S. Arshad & S.A.R. Rizvi & O. Haroon & Fahad Mehmood & Q. Gong, 2021. "Are Oil Prices Efficient?," Post-Print hal-04317811, HAL.
    3. Boubaker Heni & Canarella Giorgio & Miller Stephen M. & Gupta Rangan, 2017. "Time-varying persistence of inflation: evidence from a wavelet-based approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    4. Refk Selmi & Aviral Kumar Tiwari & Shawkat Hammoudeh, 2018. "Efficiency or speculation? A dynamic analysis of the Bitcoin market," Economics Bulletin, AccessEcon, vol. 38(4), pages 2037-2046.
    5. Vasilios Plakandaras & Rangan Gupta & Mark E. Wohar, 2018. "Persistence of Economic Uncertainty: A Comprehensive Analysis," Working Papers 201810, University of Pretoria, Department of Economics.
    6. Yingying Xu & Zhi-Xin Liu & Hsu-Ling Chang & Adelina Dumitrescu Peculea & Chi-Wei Su, 2017. "Does self-fulfilment of the inflation expectation exist?," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1098-1113, March.

  19. Theophilos Papadimitriou & Periklis Gogas & Vasilios Plakandaras, 2013. "Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques," Working Paper series 59_13, Rimini Centre for Economic Analysis.

    Cited by:

    1. Vasilios Plakandaras & Theophilos Papadimitriou & Periklis Gogas & Konstantinos Diamantaras, 2014. "Market Sentiment and Exchange Rate Directional Forecasting," Working Paper series 37_14, Rimini Centre for Economic Analysis.
    2. Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2018. "The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 705-719, November.
    3. Rangan Gupta & Vasilios Plakandaras, 2018. "Efficiency in BRICS Currency Markets using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Working Papers 201836, University of Pretoria, Department of Economics.
    4. Plakandaras, Vasilios & Gupta, Rangan & Wohar, Mark E., 2017. "The depreciation of the pound post-Brexit: Could it have been predicted?," Finance Research Letters, Elsevier, vol. 21(C), pages 206-213.

  20. Ioannis Praggidis & Periklis Gogas & Vasilios Plakandaras & Theophilos Papadimitriou, 2013. "Fiscal shocks and asymmetric effects: a comparative analysis," Papers 1312.2693, arXiv.org.

    Cited by:

    1. Vicente Esteve & Cecilio Tamarit, 2018. "Public debt and economic growth in Spain, 1851–2013," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(2), pages 219-249, May.
    2. Clement Olalekan Olaniyi, 2020. "Application of Bootstrap Simulation and Asymmetric Causal Approach to Fiscal Deficit-Inflation Nexus," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 12(2), pages 123-140, May.
    3. Ahmad, Ahmad Hassan & Aworinde, Olalekan Bashir & Martin, Christopher, 2015. "Threshold cointegration and the short-run dynamics of twin deficit hypothesis in African countries," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 80-91.

  21. Gogas, Periklis & Papadimitriou, Theophilos & Plakandaras, Vasilios, 2013. "Forecasting the insolvency of U.S. banks using Support Vector Machines (SVM) based on Local Learning Feature Selection," DUTH Research Papers in Economics 2-2013, Democritus University of Thrace, Department of Economics.

    Cited by:

    1. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2019. "Predicting European bank stress tests: Survival of the fittest," Global Finance Journal, Elsevier, vol. 39(C), pages 44-57.
    2. Theophilos Papadimitriou & Periklis Gogas & Anna Agrapetidou, 2022. "The resilience of the U.S. banking system," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2819-2835, July.
    3. Santosh Kumar Shrivastav & P. Janaki Ramudu, 2020. "Bankruptcy Prediction and Stress Quantification Using Support Vector Machine: Evidence from Indian Banks," Risks, MDPI, vol. 8(2), pages 1-22, May.
    4. Gogas, Periklis & Papadimitriou, Theophilos & Agrapetidou, Anna, 2018. "Forecasting bank failures and stress testing: A machine learning approach," International Journal of Forecasting, Elsevier, vol. 34(3), pages 440-455.

  22. Gogas, Periklis & Papadimitriou, Theophilos & Plakandaras, Vasilios, 2013. "Public Debt and Private Consumption in OECD countries," DUTH Research Papers in Economics 1-2013, Democritus University of Thrace, Department of Economics, revised 20 Feb 2014.

    Cited by:

    1. Teboho Jeremiah Mosikari & Joel Hinaunye Eita, 2017. "Empirical test of the Ricardian Equivalence in the Kingdom of Lesotho," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1351674-135, January.
    2. Lorenzo Esposito & Giuseppe Mastromatteo, 2019. "Defaultnomics: Making Sense of the Barro-Ricardo Equivalence in a Financialized World," Economics Working Paper Archive wp_933, Levy Economics Institute.
    3. Teboho Jeremiah Mosikari & Mmamontsho Charlotte Senosi & Joel Hinaunye Eita, 2016. "Manufactured exports and economic growth in Southern African Development Community (SADC) region: A panel cointegration approach," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(5), pages 266-278, OCTOBER.
    4. Ian P. Cassar & Kurt Davison & Christian Xuereb, 2018. "Does the Ricardian Equivalence Theorem Capture the Consumption Behavior of Maltese Households?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-77, December.
    5. Mario Coccia, 2018. "National debts and government deficits within European Monetary Union: Statistical evidence of economic issues," Papers 1806.07830, arXiv.org.
    6. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Lorenzo Bermejo, 2024. "Private and public debt convergence: a fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(1), pages 161-183, February.
    7. Coccia, Mario, 2017. "Asymmetric paths of public debts and of general government deficits across countries within and outside the European monetary unification and economic policy of debt dissolution," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 17-31.

  23. Papadimitriou, Theophilos & Gogas, Periklis & Plakandaras, Vasilios, 2013. "Forecasting daily and monthly exchange rates with machine learning techniques," DUTH Research Papers in Economics 3-2013, Democritus University of Thrace, Department of Economics, revised 07 Apr 2015.

    Cited by:

    1. Biswas, Rita & Li, Xiao & Piccotti, Louis R., 2023. "Do macroeconomic variables drive exchange rates independently?," Finance Research Letters, Elsevier, vol. 52(C).
    2. Mohammad Abdullah & Mohammad Ashraful Ferdous Chowdhury & Ajim Uddin & Syed Moudud‐Ul‐Huq, 2023. "Forecasting nonperforming loans using machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1664-1689, November.
    3. Erdinc Akyildirim & Oguzhan Cepni & Shaen Corbet & Gazi Salah Uddin, 2023. "Forecasting mid-price movement of Bitcoin futures using machine learning," Annals of Operations Research, Springer, vol. 330(1), pages 553-584, November.
    4. Rho Caterina & Fernández Raúl & Palma Brenda, 2021. "A Sentiment-based Risk Indicator for the Mexican Financial Sector," Working Papers 2021-04, Banco de México.
    5. Plakandaras, Vasilios & Gogas, Periklis & Papadimitriou, Theophilos & Gupta, Rangan, 2019. "A re-evaluation of the term spread as a leading indicator," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 476-492.
    6. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2016. "The Term Premium as a Leading Macroeconomic Indicator," Working Papers 201613, University of Pretoria, Department of Economics.
    7. Christophe Amat & Tomasz Michalski & Gilles Stoltz, 2018. "Fundamentals and exchange rate forecastability with simple machine learning methods," Working Papers halshs-01003914, HAL.
    8. Vasilios Plakandaras & Theophilos Papadimitriou & Periklis Gogas & Konstantinos Diamantaras, 2014. "Market Sentiment and Exchange Rate Directional Forecasting," Working Paper series 37_14, Rimini Centre for Economic Analysis.
    9. Sun, Shaolong & Wang, Shouyang & Wei, Yunjie, 2019. "A new multiscale decomposition ensemble approach for forecasting exchange rates," Economic Modelling, Elsevier, vol. 81(C), pages 49-58.
    10. He Jiang, 2023. "Forecasting global solar radiation using a robust regularization approach with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 1989-2010, December.
    11. Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019. "Exchange rate returns and volatility: the role of time-varying rare disaster risks," The European Journal of Finance, Taylor & Francis Journals, vol. 25(2), pages 190-203, January.
    12. Rangan Gupta & Vasilios Plakandaras, 2018. "Efficiency in BRICS Currency Markets using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Working Papers 201836, University of Pretoria, Department of Economics.
    13. Plakandaras, Vasilios & Gupta, Rangan & Wohar, Mark E., 2017. "The depreciation of the pound post-Brexit: Could it have been predicted?," Finance Research Letters, Elsevier, vol. 21(C), pages 206-213.
    14. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    15. Theophilos Papadimitriou & Periklis Gogas & Athanasios Fotios Athanasiou, 2020. "Forecasting S&P 500 spikes: an SVM approach," Digital Finance, Springer, vol. 2(3), pages 241-258, December.
    16. Plakandaras, Vasilios & Ji, Qiang, 2022. "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, vol. 28(C).
    17. Paolo Fornaro & Henri Luomaranta, 2020. "Nowcasting Finnish real economic activity: a machine learning approach," Empirical Economics, Springer, vol. 58(1), pages 55-71, January.
    18. Tasadduq Imam, 2021. "Model selection for one‐day‐ahead AUD/USD, AUD/EUR forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1808-1824, April.
    19. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou, 2021. "Gold Against the Machine," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 5-28, January.

  24. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis, 2012. "Directional forecasting in financial time series using support vector machines: The USD/Euro exchange rate," DUTH Research Papers in Economics 5-2012, Democritus University of Thrace, Department of Economics.

    Cited by:

    1. Kea BARET & Theophilos PAPADIMITRIOU, 2019. "On the Stability and Growth Pact compliance: what is predictable with machine learning?," Working Papers of BETA 2019-48, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2018. "The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 705-719, November.
    3. Pragidis, Ioannis & Gogas, Periklis & Plakandaras, Vasilios & Papadimitriou, Theophilos, 2015. "Fiscal shocks and asymmetric effects: A comparative analysis," The Journal of Economic Asymmetries, Elsevier, vol. 12(1), pages 22-33.
    4. Rangan Gupta & Vasilios Plakandaras, 2018. "Efficiency in BRICS Currency Markets using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Working Papers 201836, University of Pretoria, Department of Economics.

Articles

  1. Yousaf, Imran & Plakandaras, Vasilios & Bouri, Elie & Gupta, Rangan, 2023. "Hedge and safe-haven properties of FAANA against gold, US Treasury, bitcoin, and US Dollar/CHF during the pandemic period," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).

    Cited by:

    1. Al-Nassar, Nassar S. & Yousaf, Imran & Makram, Beljid, 2023. "Spillovers between positively and negatively affected service sectors from the COVID-19 health crisis: Implications for portfolio management," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).

  2. Plakandaras, Vasilios & Gupta, Rangan & Balcilar, Mehmet & Ji, Qiang, 2022. "Evolving United States stock market volatility: The role of conventional and unconventional monetary policies," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    See citations under working paper version above.
  3. Floros Flouros & Victoria Pistikou & Vasilios Plakandaras, 2022. "Geopolitical Risk as a Determinant of Renewable Energy Investments," Energies, MDPI, vol. 15(4), pages 1-21, February.

    Cited by:

    1. Taghizadeh-Hesary, Farhad & Phoumin, Han & Rasoulinezhad, Ehsan, 2023. "Assessment of role of green bond in renewable energy resource development in Japan," Resources Policy, Elsevier, vol. 80(C).
    2. Li, Yiying & Yan, Cheng & Ren, Xiaohang, 2023. "Do uncertainties affect clean energy markets? Comparisons from a multi-frequency and multi-quantile framework," Energy Economics, Elsevier, vol. 121(C).
    3. Zhang, Yi & Zhang, Leilei & Yu, Hang & Tu, Yanhong, 2023. "Does Geopolitical risk drive natural resources extraction globally? A Case of Global," Resources Policy, Elsevier, vol. 82(C).
    4. Lorente, Daniel Balsalobre & Mohammed, Kamel Si & Cifuentes-Faura, Javier & Shahzad, Umer, 2023. "Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective," Renewable Energy, Elsevier, vol. 204(C), pages 94-105.
    5. Casper Boongaling Agaton, 2022. "Will a Geopolitical Conflict Accelerate Energy Transition in Oil-Importing Countries? A Case Study of the Philippines from a Real Options Perspective," Resources, MDPI, vol. 11(6), pages 1-17, June.
    6. Aleksandra Jezierska-Thöle & Marta Gwiaździńska-Goraj & Małgorzata Dudzińska, 2022. "Environmental, Social, and Economic Aspects of the Green Economy in Polish Rural Areas—A Spatial Analysis," Energies, MDPI, vol. 15(9), pages 1-21, May.
    7. Khan, Khalid & Su, Chi Wei & Khurshid, Adnan & Qin, Meng, 2023. "Does energy security improve renewable energy? A geopolitical perspective," Energy, Elsevier, vol. 282(C).
    8. Zhang, Shaohe & Shinwari, Riazullah & Zhao, Shikuan & Dagestani, Abd Alwahed, 2023. "Energy transition, geopolitical risk, and natural resources extraction: A novel perspective of energy transition and resources extraction," Resources Policy, Elsevier, vol. 83(C).
    9. Li, Zhuolun, 2023. "Do geopolitical risk, green finance, and the rule of law affect the sustainable environment in China? Findings from the BARDL approach," Resources Policy, Elsevier, vol. 81(C).
    10. Khan, Khalid & Khurshid, Adnan & Cifuentes-Faura, Javier, 2023. "Energy security analysis in a geopolitically volatile world: A causal study," Resources Policy, Elsevier, vol. 83(C).
    11. Zouhaier Dhifaoui & Kaies Ncibi & Faicel Gasmi & Abulmajeed Abdallah Alqarni, 2023. "The Nexus between Climate Change and Geopolitical Risk Index in Saudi Arabia Based on the Fourier-Domain Transfer Entropy Spectrum Method," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    12. Periklis Gogas & Theophilos Papadimitriou, 2022. "Emerging Trends in Energy Economics," Energies, MDPI, vol. 15(14), pages 1-2, July.

  4. Plakandaras, Vasilios & Ji, Qiang, 2022. "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, vol. 28(C).

    Cited by:

    1. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    2. Das, Sudeepa & Sahu, Tirath Prasad & Janghel, Rekh Ram, 2022. "Oil and gold price prediction using optimized fuzzy inference system based extreme learning machine," Resources Policy, Elsevier, vol. 79(C).

  5. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou, 2021. "Gold Against the Machine," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 5-28, January.

    Cited by:

    1. Perry Sadorsky, 2021. "Predicting Gold and Silver Price Direction Using Tree-Based Classifiers," JRFM, MDPI, vol. 14(5), pages 1-21, April.
    2. Lu, Xinjie & Ma, Feng & Xu, Jin & Zhang, Zehui, 2022. "Oil futures volatility predictability: New evidence based on machine learning models11All the authors contribute to the paper equally," International Review of Financial Analysis, Elsevier, vol. 83(C).

  6. Vasilios Plakandaras & Rangan Gupta & Constantinos Katrakilidis & Mark E. Wohar, 2020. "Time-varying role of macroeconomic shocks on house prices in the US and UK: evidence from over 150 years of data," Empirical Economics, Springer, vol. 58(5), pages 2249-2285, May.
    See citations under working paper version above.
  7. Plakandaras, Vasilios & Tiwari, Aviral Kumar & Gupta, Rangan & Ji, Qiang, 2020. "Spillover of sentiment in the European Union: Evidence from time- and frequency-domains," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 105-130.
    See citations under working paper version above.
  8. Yanele Nyamela & Vasilios Plakandaras & Rangan Gupta, 2020. "Frequency-dependent real-time effects of uncertainty in the United States: evidence from daily data," Applied Economics Letters, Taylor & Francis Journals, vol. 27(19), pages 1562-1566, November.
    See citations under working paper version above.
  9. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Efterpi Doumpa & Maria Stefanidou, 2020. "Forecasting Credit Ratings of EU Banks," IJFS, MDPI, vol. 8(3), pages 1-15, August.

    Cited by:

    1. Ahmed, Shamima & Alshater, Muneer M. & Ammari, Anis El & Hammami, Helmi, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 61(C).

  10. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis, 2019. "Forecasting transportation demand for the U.S. market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 195-214.

    Cited by:

    1. Weifan Zhong & Lijing Du, 2023. "Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    2. Cheng, Long & Yang, Junjian & Chen, Xuewu & Cao, Mengqiu & Zhou, Hang & Sun, Yu, 2020. "How could the station-based bike sharing system and the free-floating bike sharing system be coordinated?," Journal of Transport Geography, Elsevier, vol. 89(C).

  11. Rangan Gupta & Vasilios Plakandaras, 2019. "Efficiency in BRICS Currency Markets Using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Journal of Economics and Behavioral Studies, AMH International, vol. 11(1), pages 152-165.
    See citations under working paper version above.
  12. Plakandaras, Vasilios & Gupta, Rangan & Wong, Wing-Keung, 2019. "Point and density forecasts of oil returns: The role of geopolitical risks," Resources Policy, Elsevier, vol. 62(C), pages 580-587.
    See citations under working paper version above.
  13. Vasilios Plakandaras & Rangan Gupta & Mark E. Wohar, 2019. "Persistence of economic uncertainty: a comprehensive analysis," Applied Economics, Taylor & Francis Journals, vol. 51(41), pages 4477-4498, September.
    See citations under working paper version above.
  14. Plakandaras, Vasilios & Gogas, Periklis & Papadimitriou, Theophilos & Gupta, Rangan, 2019. "A re-evaluation of the term spread as a leading indicator," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 476-492.

    Cited by:

    1. Joseph G. Haubrich, 2020. "Does the Yield Curve Predict Output?," Working Papers 20-34, Federal Reserve Bank of Cleveland.
    2. Çepni, Oğuzhan & Guney, I. Ethem & Gupta, Rangan & Wohar, Mark E., 2020. "The role of an aligned investor sentiment index in predicting bond risk premia of the U.S," Journal of Financial Markets, Elsevier, vol. 51(C).

  15. Vasilios Plakandaras & Rangan Gupta & Luis A. Gil-Alana & Mark E. Wohar, 2019. "Are BRICS exchange rates chaotic?," Applied Economics Letters, Taylor & Francis Journals, vol. 26(13), pages 1104-1110, July.
    See citations under working paper version above.
  16. Pragidis, I.C. & Tsintzos, P. & Plakandaras, B., 2018. "Asymmetric effects of government spending shocks during the financial cycle," Economic Modelling, Elsevier, vol. 68(C), pages 372-387.

    Cited by:

    1. Plakandaras, Vasilios & Gogas, Periklis & Papadimitriou, Theophilos & Gupta, Rangan, 2019. "A re-evaluation of the term spread as a leading indicator," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 476-492.
    2. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    3. Siming Liu, 2018. "Spending Multiplier during Sudden Stop Crises," 2018 Meeting Papers 226, Society for Economic Dynamics.
    4. Glocker, Christian & Sestieri, Giulia & Towbin, Pascal, 2019. "Time-varying government spending multipliers in the UK," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 180-197.
    5. Kurowski, Łukasz & Rogowicz, Karol, 2018. "Are business and credit cycles synchronised internally or externally?," Economic Modelling, Elsevier, vol. 74(C), pages 124-141.
    6. Siming Liu, 2018. "Government Spending during Sudden Stop Crises," CAEPR Working Papers 2018-002, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    7. Piotr Krajewski & Agata Szymanska, 2019. "The effectiveness of fiscal policy within business cycle-Ricardians vs. non-Ricardians approach," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(2), pages 195-215.
    8. Gaysset, Isabelle & Lagoarde-Segot, Thomas & Neaime, Simon, 2019. "Twin deficits and fiscal spillovers in the EMU's periphery. A Keynesian perspective," Economic Modelling, Elsevier, vol. 76(C), pages 101-116.

  17. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan & Plakandaras, Vasilios, 2018. "Dynamic connectedness of uncertainty across developed economies: A time-varying approach," Economics Letters, Elsevier, vol. 166(C), pages 63-75.
    See citations under working paper version above.
  18. Athanasia Dimitriadou & Periklis Gogas & Theophilos Papadimitriou & Vasilios Plakandaras, 2018. "Oil Market Efficiency under a Machine Learning Perspective," Forecasting, MDPI, vol. 1(1), pages 1-12, October.

    Cited by:

    1. Mangku Purnomo & Fenna Otten & Heiko Faust, 2018. "Indonesian Traditional Market Flexibility Amidst State Promoted Market Competition," Social Sciences, MDPI, vol. 7(11), pages 1-17, November.
    2. Yu-Wei Chen & Chui-Yu Chiu & Mu-Chun Hsiao, 2021. "An Auxiliary Index for Reducing Brent Crude Investment Risk—Evaluating the Price Relationships between Brent Crude and Commodities," Sustainability, MDPI, vol. 13(9), pages 1-45, April.

  19. Plakandaras, Vasilios & Gupta, Rangan & Wohar, Mark E., 2017. "The depreciation of the pound post-Brexit: Could it have been predicted?," Finance Research Letters, Elsevier, vol. 21(C), pages 206-213.
    See citations under working paper version above.
  20. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2017. "Do leading indicators forecast U.S. recessions? A nonlinear re†evaluation using historical data," International Finance, Wiley Blackwell, vol. 20(3), pages 289-316, December.

    Cited by:

    1. Christophe Andre & Petre Caraiani & Rangan Gupta, 2023. "Fiscal Policy and Stock Markets at the Effective Lower Bound," Working Papers 202309, University of Pretoria, Department of Economics.
    2. Shixuan Wang & Rangan Gupta & Yue-Jun Zhang, 2020. "Bear, Bull, Sidewalk, and Crash: The Evolution of the US Stock Market Using Over a Century of Daily Data," Working Papers 202097, University of Pretoria, Department of Economics.
    3. Gupta, Rangan & Kanda, Patrick & Tiwari, Aviral Kumar & Wohar, Mark E., 2019. "Time-varying predictability of oil market movements over a century of data: The role of US financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Joao F. Caldeira & Rangan Gupta & Tahir Suleman & Hudson S. Torrent, 2019. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Working Papers 201911, University of Pretoria, Department of Economics.
    5. Oguzhan Cepni & Rangan Gupta & Cenk C. Karahan & Brian M. Lucey, 2020. "Oil Price Shocks and Yield Curve Dynamics in Emerging Markets," Working Papers 202036, University of Pretoria, Department of Economics.
    6. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2021. "Dynamic impact of the U.S. monetary policy on oil market returns and volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 159-169.
    7. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2021. "House price synchronization across the US states: The role of structural oil shocks," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    8. Gupta, Rangan & Sheng, Xin & Balcilar, Mehmet & Ji, Qiang, 2021. "Time-varying impact of pandemics on global output growth," Finance Research Letters, Elsevier, vol. 41(C).
    9. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    10. Duan, Yunlong & Mu, Chang & Yang, Meng & Deng, Zhiqing & Chin, Tachia & Zhou, Li & Fang, Qifeng, 2021. "Study on early warnings of strategic risk during the process of firms’ sustainable innovation based on an optimized genetic BP neural networks model: Evidence from Chinese manufacturing firms," International Journal of Production Economics, Elsevier, vol. 242(C).
    11. Bouri, Elie & Demirer, Riza & Gupta, Rangan & Wohar, Mark E., 2021. "Gold, platinum and the predictability of bond risk premia," Finance Research Letters, Elsevier, vol. 38(C).
    12. Oguzhan Cepni & Rangan Gupta & Qiang Ji, 2021. "Sentiment Regimes and Reaction of Stock Markets to Conventional and Unconventional Monetary Policies: Evidence from OECD Countries," Working Papers 202126, University of Pretoria, Department of Economics.
    13. Çepni, Oğuzhan & Guney, I. Ethem & Gupta, Rangan & Wohar, Mark E., 2020. "The role of an aligned investor sentiment index in predicting bond risk premia of the U.S," Journal of Financial Markets, Elsevier, vol. 51(C).
    14. Gupta, Rangan & Sheng, Xin & van Eyden, Reneé & Wohar, Mark E., 2021. "The impact of disaggregated oil shocks on state-level real housing returns of the United States: The role of oil dependence," Finance Research Letters, Elsevier, vol. 43(C).
    15. Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.
    16. Gupta, Rangan & Huber, Florian & Piribauer, Philipp, 2020. "Predicting international equity returns: Evidence from time-varying parameter vector autoregressive models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    17. Elie Bouri & Rangan Gupta & Shixuan Wang, 2019. "Contagion between Stock and Real Estate Markets: International Evidence from a Local Gaussian Correlation Approach," Working Papers 201917, University of Pretoria, Department of Economics.
    18. Salisu, Afees A. & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil prices over 150 years: The role of tail risks," Resources Policy, Elsevier, vol. 75(C).
    19. Andreas Psimopoulos, 2020. "Forecasting Economic Recessions Using Machine Learning:An Empirical Study in Six Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 18(1), pages 40-99.
    20. Ronald Ravinesh Kumar & Peter Josef Stauvermann & Hang Thi Thu Vu, 2021. "The Relationship between Yield Curve and Economic Activity: An Analysis of G7 Countries," JRFM, MDPI, vol. 14(2), pages 1-23, February.
    21. Jacobus Nel & Rangan Gupta & Mark E. Wohar & Christian Pierdzioch, 2022. "Climate Risks and Predictability of Commodity Returns and Volatility: Evidence from Over 750 Years of Data," Working Papers 202242, University of Pretoria, Department of Economics.

  21. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2017. "The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 109-121, March.
    See citations under working paper version above.
  22. Theophilos Papadimitriou & Periklis Gogas & Vasilios Plakandaras, 2016. "Testing Exchange Rate Models in a Small Open Economy: an SVR Approach," Bulletin of Applied Economics, Risk Market Journals, vol. 3(2), pages 9-29.

    Cited by:

    1. Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2018. "The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 705-719, November.
    2. Rangan Gupta & Vasilios Plakandaras, 2018. "Efficiency in BRICS Currency Markets using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Working Papers 201836, University of Pretoria, Department of Economics.

  23. Pragidis, Ioannis & Gogas, Periklis & Plakandaras, Vasilios & Papadimitriou, Theophilos, 2015. "Fiscal shocks and asymmetric effects: A comparative analysis," The Journal of Economic Asymmetries, Elsevier, vol. 12(1), pages 22-33.
    See citations under working paper version above.
  24. Plakandaras, Vasilios & Gupta, Rangan & Gogas, Periklis & Papadimitriou, Theophilos, 2015. "Forecasting the U.S. real house price index," Economic Modelling, Elsevier, vol. 45(C), pages 259-267.
    See citations under working paper version above.
  25. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis & Diamantaras, Konstantinos, 2015. "Market sentiment and exchange rate directional forecasting," Algorithmic Finance, IOS Press, vol. 4(1-2), pages 69-79.
    See citations under working paper version above.
  26. Vasilios Plakandaras & Periklis Gogas & Rangan Gupta & Theophilos Papadimitriou, 2015. "US inflation dynamics on long-range data," Applied Economics, Taylor & Francis Journals, vol. 47(36), pages 3874-3890, August.
    See citations under working paper version above.
  27. Vasilios Plakandaras & Theophilos Papadimitriou & Periklis Gogas, 2015. "Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(7), pages 560-573, November.
    See citations under working paper version above.
  28. Gogas, Periklis & Plakandaras, Vasilios & Papadimitriou, Theophilos, 2014. "Public debt and private consumption in OECD countries," The Journal of Economic Asymmetries, Elsevier, vol. 11(C), pages 1-7.
    See citations under working paper version above.
  29. Theophilos Papadimitriou & Periklis Gogas & Vasilios Plakandaras & John C. Mourmouris, 2013. "Forecasting the insolvency of US banks using support vector machines (SVMs) based on local learning feature selection," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 3(1/2), pages 83-90.
    See citations under working paper version above.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.