IDEAS home Printed from https://ideas.repec.org/r/eee/jfinec/v123y2017i1p137-162.html
   My bibliography  Save this item

News implied volatility and disaster concerns

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Croce, M.M. & Nguyen, Thien T. & Raymond, S. & Schmid, L., 2019. "Government debt and the returns to innovation," Journal of Financial Economics, Elsevier, vol. 132(3), pages 205-225.
  2. Freire, Gustavo, 2021. "Tail risk and investors’ concerns: Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  3. Isakin, Maksim & Pu, Xiaoling, 2023. "Dispersion in news sentiment and corporate bond returns," International Review of Financial Analysis, Elsevier, vol. 89(C).
  4. Leland Bybee & Bryan T. Kelly & Asaf Manela & Dacheng Xiu, 2020. "The Structure of Economic News," NBER Working Papers 26648, National Bureau of Economic Research, Inc.
  5. Amarda Cano, 2020. "Evolution of Public Debt in Albania during 1990-2017 and its impact on the Economic Growth," European Journal of Marketing and Economics Articles, Revistia Research and Publishing, vol. 4, January -.
  6. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
  7. Ali Kabiri & Harold James & John Landon-Lane & David Tuckett & Rickard Nyman, 2020. "The Role of Sentiment in the Economy: 1920 to 1934," CESifo Working Paper Series 8336, CESifo.
  8. Yen-Ju Hsu & Yang-Cheng Lu & J. Jimmy Yang, 2021. "News sentiment and stock market volatility," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 1093-1122, October.
  9. Vegard Høghaug Larsen, 2021. "Components Of Uncertainty," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 769-788, May.
  10. Roman Frydman & Nicholas Mangee, 2021. "Expectations Concordance and Stock Market Volatility: Knightian Uncertainty in the Year of the Pandemic," JRFM, MDPI, vol. 14(11), pages 1-13, November.
  11. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
  12. Sang Byung Seo & Jessica A. Wachter, 2019. "Option Prices in a Model with Stochastic Disaster Risk," Management Science, INFORMS, vol. 65(8), pages 3449-3469, August.
  13. Wen, Jun & Zhao, Xin-Xin & Chang, Chun-Ping, 2021. "The impact of extreme events on energy price risk," Energy Economics, Elsevier, vol. 99(C).
  14. Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019. "The role of time‐varying rare disaster risks in predicting bond returns and volatility," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 327-340, July.
  15. Roberto Marfè & Julien Pénasse, 2020. "Measuring Macroeconomic Tail Risk," Carlo Alberto Notebooks 621, Collegio Carlo Alberto.
  16. Demirer, Riza & Gupta, Rangan & Suleman, Tahir & Wohar, Mark E., 2018. "Time-varying rare disaster risks, oil returns and volatility," Energy Economics, Elsevier, vol. 75(C), pages 239-248.
  17. Alejandro Lopez-Lira & Yuehua Tang, 2023. "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models," Papers 2304.07619, arXiv.org, revised Sep 2023.
  18. Mr. Philip Barrett & Sophia Chen & Miss Mali Chivakul & Ms. Deniz O Igan, 2021. "Pricing Protest: The Response of Financial Markets to Social Unrest," IMF Working Papers 2021/079, International Monetary Fund.
  19. Christian Schlag & Michael Semenischev & Julian Thimme, 2021. "Predictability and the Cross-Section of Expected Returns: A Challenge for Asset Pricing Models," Management Science, INFORMS, vol. 67(12), pages 7932-7950, December.
  20. Bartram, Söhnke & Branke, Jürgen & Motahari, Mehrshad, 2020. "Artificial Intelligence in Asset Management," CEPR Discussion Papers 14525, C.E.P.R. Discussion Papers.
  21. Goemans, Pascal, 2020. "Government Spending in Uncertain and Slack Times: Historical Evidence for Larger Fiscal Multipliers," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224642, Verein für Socialpolitik / German Economic Association.
  22. Zhang, Yaojie & Zeng, Qing & Ma, Feng & Shi, Benshan, 2019. "Forecasting stock returns: Do less powerful predictors help?," Economic Modelling, Elsevier, vol. 78(C), pages 32-39.
  23. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
  24. Pan, Zhiyuan & Pettenuzzo, Davide & Wang, Yudong, 2020. "Forecasting stock returns: A predictor-constrained approach," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 200-217.
  25. Yang Liu & Liyan Han & Libo Yin, 2018. "Does news uncertainty matter for commodity futures markets? Heterogeneity in energy and non‐energy sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1246-1261, October.
  26. Fraiberger, Samuel P. & Lee, Do & Puy, Damien & Ranciere, Romain, 2021. "Media sentiment and international asset prices," Journal of International Economics, Elsevier, vol. 133(C).
  27. Nicolas Himounet & Francisco Serranito & Julien Vauday, 2021. "Uncertainty is bad for Business. Really?," Working Papers 2021.03, International Network for Economic Research - INFER.
  28. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco C. Sammon, 2021. "What Triggers Stock Market Jumps?," NBER Working Papers 28687, National Bureau of Economic Research, Inc.
  29. Oana Panazan & Catalin Gheorghe, 2024. "Impact of Geopolitical Risk on G7 Financial Markets: A Comparative Wavelet Analysis between 2014 and 2022," Mathematics, MDPI, vol. 12(3), pages 1-22, January.
  30. Yi Li & Dehua Shen & Pengfei Wang & Wei Zhang, 2021. "Investor reactions to local and overseas news: Evidence from A‐ and H‐shares in China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4190-4225, July.
  31. Pascal Goemans, 2022. "Historical evidence for larger government spending multipliers in uncertain times than in slumps," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1164-1185, July.
  32. Yi‐Ting Peng & Tsangyao Chang & Omid Ranjbar, 2022. "Analyzing the degree of persistence of economic policy uncertainty using linear and non‐linear fourier quantile unit root tests," Manchester School, University of Manchester, vol. 90(4), pages 453-471, July.
  33. Boniface Yemba & Yi Duan & Nabaneeta Biswas, 2023. "Government spending news and stock price index," Economics Bulletin, AccessEcon, vol. 43(4), pages 1816-1841.
  34. Bao, Jack & Hou, Kewei & Zhang, Shaojun, 2023. "Systematic default and return predictability in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 149(3), pages 349-377.
  35. Al-Thaqeb, Saud Asaad & Algharabali, Barrak Ghanim, 2019. "Economic policy uncertainty: A literature review," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
  36. Nagel, Stefan & Xu, Zhengyang, 2023. "Dynamics of subjective risk premia," Journal of Financial Economics, Elsevier, vol. 150(2).
  37. Refk Selmi & Christos Kollias & Stephanos Papadamou & Rangan Gupta, 2017. "A Copula-Based Quantile-on-Quantile Regression Approach to Modeling Dependence Structure between Stock and Bond Returns: Evidence from Historical Data of India, South Africa, UK and US," Working Papers 201747, University of Pretoria, Department of Economics.
  38. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
  39. Munday, Tim & Brookes, James, 2021. "Mark my words: the transmission of central bank communication to the general public via the print media," Bank of England working papers 944, Bank of England.
  40. Le, Trung H. & Pham, Linh & Do, Hung X., 2023. "Price risk transmissions in the water-energy-food nexus: Impacts of climate risks and portfolio implications," Energy Economics, Elsevier, vol. 124(C).
  41. Qi Xu & Yang Ye, 2023. "Commodity network and predictable returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1423-1449, October.
  42. Mohrschladt, Hannes & Langer, Thomas, 2020. "Biased information weight processing in stock markets," Journal of Empirical Finance, Elsevier, vol. 57(C), pages 89-106.
  43. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
  44. Stolbov, Mikhail & Shchepeleva, Maria & Karminsky, Alexander, 2022. "When central bank research meets Google search: A sentiment index of global financial stress," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
  45. Cao, Zhen & Han, Liyan & Wei, Xinbei & Zhang, Qunzi, 2022. "Fear in commodity return prediction," Finance Research Letters, Elsevier, vol. 46(PB).
  46. Gustavo S Cortes & Marc D Weidenmier, 2019. "Stock Volatility and the Great Depression," The Review of Financial Studies, Society for Financial Studies, vol. 32(9), pages 3544-3570.
  47. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
  48. Zaremba, Adam & Kizys, Renatas & Aharon, David Y. & Demir, Ender, 2020. "Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe," Finance Research Letters, Elsevier, vol. 35(C).
  49. 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).
  50. Mohd Ziaur Rehman & Shabeer Khan & Ghulam Abbas & Mohammed Alhashim, 2023. "Novel COVID-19 Outbreak and Global Uncertainty in the Top-10 Affected Countries: Evidence from Wavelet Coherence Approach," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
  51. Himounet, Nicolas, 2022. "Searching the nature of uncertainty: Macroeconomic and financial risks VS geopolitical and pandemic risks," International Economics, Elsevier, vol. 170(C), pages 1-31.
  52. Loughran, Tim & McDonald, Bill & Pragidis, Ioannis, 2019. "Assimilation of oil news into prices," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 105-118.
  53. Nguyen, Dat Thanh & Phan, Dinh Hoang Bach & Ming, Tee Chwee & Nguyen, Van Ky Long, 2021. "An assessment of how COVID-19 changed the global equity market," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 480-491.
  54. Tengfei Zhang, 2020. "Manager Uncertainty and Cross-Sectional Stock Returns," 2020 Papers pzh934, Job Market Papers.
  55. Dim, Chukwuma & Koerner, Kevin & Wolski, Marcin & Zwart, Sanne, 2022. "Hot off the press: News-implied sovereign default risk," EIB Working Papers 2022/06, European Investment Bank (EIB).
  56. Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  57. Matthew Bamber & Santhosh Abraham, 2020. "On the “Realities” of Investor‐Manager Interactivity: Baudrillard, Hyperreality, and Management Q&A Sessions†," Contemporary Accounting Research, John Wiley & Sons, vol. 37(2), pages 1290-1325, June.
  58. Zhen Cao & Jiancheng Shen & Xinbei Wei & Qunzi Zhang, 2023. "Anger in predicting the index futures returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 437-454, April.
  59. Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
  60. Yutaka Kurihara, 2018. "Occurred Uncertainty by ‘News’ in Japanese Short- and Long-Term Financial Markets," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 4(4), pages 93-98, 04-2018.
  61. Michael Hasler & Charles Martineau, 2023. "Explaining the Failure of the Unconditional CAPM with the Conditional CAPM," Management Science, INFORMS, vol. 69(3), pages 1835-1855, March.
  62. Söhnke M. Bartram & Gregory Brown & René M. Stulz, 2016. "Why Does Idiosyncratic Risk Increase with Market Risk?," NBER Working Papers 22492, National Bureau of Economic Research, Inc.
  63. Timothy Besley & Thiemo Fetzer & Hannes Mueller, 2023. "How Big Is the Media Multiplier? Evidence from Dyadic News Data," CESifo Working Paper Series 10619, CESifo.
  64. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  65. Gupta, Rangan & Mwamba, John W. Muteba & Wohar, Mark E., 2018. "The role of partisan conflict in forecasting the U.S. equity premium: A nonparametric approach," Finance Research Letters, Elsevier, vol. 25(C), pages 131-136.
  66. Schlag, Christian & Semenischev, Michael & Thimme, Julian, 2020. "Predictability and the cross-section of expected returns: A challenge for asset pricing models," SAFE Working Paper Series 289, Leibniz Institute for Financial Research SAFE.
  67. Ender Demir & Renatas Kizys & Wael Rouatbi & Adam Zaremba, 2022. "Sail Away to a Safe Harbor? COVID-19 Vaccinations and the Volatility of Travel and Leisure Companies," JRFM, MDPI, vol. 15(4), pages 1-21, April.
  68. Hao, Yijun & Su, Hao & Zhu, Xiaoneng, 2020. "Rare disaster concerns and economic fluctuations," Economics Letters, Elsevier, vol. 195(C).
  69. Huang, Darien & Kilic, Mete, 2019. "Gold, platinum, and expected stock returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 50-75.
  70. Wang, Yudong & Pan, Zhiyuan & Wu, Chongfeng & Wu, Wenfeng, 2020. "Industry equi-correlation: A powerful predictor of stock returns," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 1-24.
  71. Johnson, James A. & Medeiros, Marcelo C. & Paye, Bradley S., 2022. "Jumps in stock prices: New insights from old data," Journal of Financial Markets, Elsevier, vol. 60(C).
  72. Gupta, Rangan & Ma, Jun & Risse, Marian & Wohar, Mark E., 2018. "Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 317-337.
  73. Birru, Justin & Young, Trevor, 2022. "Sentiment and uncertainty," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1148-1169.
  74. Luu Duc Huynh, Toan, 2020. "The effect of uncertainty on the precious metals market: New insights from Transfer Entropy and Neural Network VAR," Resources Policy, Elsevier, vol. 66(C).
  75. Dai, Zhifeng & Zhu, Huan, 2021. "Indicator selection and stock return predictability," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
  76. Gkillas, Konstantinos & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility jumps: The role of geopolitical risks," Finance Research Letters, Elsevier, vol. 27(C), pages 247-258.
  77. Fang, Tong & Su, Zhi & Yin, Libo, 2020. "Economic fundamentals or investor perceptions? The role of uncertainty in predicting long-term cryptocurrency volatility," International Review of Financial Analysis, Elsevier, vol. 71(C).
  78. Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
  79. Kyoto Yono & Hiroki Sakaji & Hiroyasu Matsushima & Takashi Shimada & Kiyoshi Izumi, 2020. "Construction of Macroeconomic Uncertainty Indices for Financial Market Analysis Using a Supervised Topic Model," JRFM, MDPI, vol. 13(4), pages 1-18, April.
  80. Qunzi Zhang, 2021. "One hundred years of rare disaster concerns and commodity prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(12), pages 1891-1915, December.
  81. Dai, Zhifeng & Dong, Xiaodi & Kang, Jie & Hong, Lianying, 2020. "Forecasting stock market returns: New technical indicators and two-step economic constraint method," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
  82. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2019. "The impact of US uncertainty on the Euro area in good and bad times: evidence from a quantile structural vector autoregressive model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 353-368, May.
  83. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
  84. Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2023. "Does economic policy uncertainty drive the dynamic spillover among traditional currencies and cryptocurrencies? The role of the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 64(C).
  85. Bonsall, Samuel B. & Green, Jeremiah & Muller, Karl A., 2020. "Market uncertainty and the importance of media coverage at earnings announcements," Journal of Accounting and Economics, Elsevier, vol. 69(1).
  86. Su, Hao & Ying, Chengwei & Zhu, Xiaoneng, 2022. "Disaster risk matters in the bond market," Finance Research Letters, Elsevier, vol. 47(PA).
  87. Qadan, Mahmoud & Idilbi, Yasmeen, 2022. "Presidential honeymoons, political cycles and the commodity market," Resources Policy, Elsevier, vol. 77(C).
  88. Fang, Libing & Qian, Yichuo & Chen, Ying & Yu, Honghai, 2018. "How does stock market volatility react to NVIX? Evidence from developed countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 490-499.
  89. Nazemi, Abdolreza & Baumann, Friedrich & Fabozzi, Frank J., 2022. "Intertemporal defaulted bond recoveries prediction via machine learning," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1162-1177.
  90. Ali Kabiri & Harold James & John Landon‐Lane & David Tuckett & Rickard Nyman, 2023. "The role of sentiment in the US economy: 1920 to 1934," Economic History Review, Economic History Society, vol. 76(1), pages 3-30, February.
  91. Su, Zhi & Fang, Tong & Yin, Libo, 2019. "Understanding stock market volatility: What is the role of U.S. uncertainty?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 582-590.
  92. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
  93. Hua, Renhai & Liu, Qingfu & Tse, Yiuman & Yu, Qin, 2023. "The impact of natural disaster risk on the return of agricultural futures," Journal of Asian Economics, Elsevier, vol. 87(C).
  94. Han, Chen & Wu, Chengliang & Wei, Lu, 2023. "The impact of the disclosure characteristics of the application material on the successful listing of companies on China’s Science and Technology Innovation Board," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
  95. Inzamam Ul Haq & Apichit Maneengam & Supat Chupradit & Wanich Suksatan & Chunhui Huo, 2021. "Economic Policy Uncertainty and Cryptocurrency Market as a Risk Management Avenue: A Systematic Review," Risks, MDPI, vol. 9(9), pages 1-24, September.
  96. Yongsheng Yi & Feng Ma & Dengshi Huang & Yaojie Zhang, 2019. "Interest rate level and stock return predictability," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 506-522, October.
  97. Conrad, Christian & Glas, Alexander, 2018. "‘Déjà vol’ revisited: Survey forecasts of macroeconomic variables predict volatility in the cross-section of industry portfolios," Working Papers 0655, University of Heidelberg, Department of Economics.
  98. Obaid, Khaled & Pukthuanthong, Kuntara, 2022. "A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news," Journal of Financial Economics, Elsevier, vol. 144(1), pages 273-297.
  99. Dai, Zhifeng & Zhu, Huan & Kang, Jie, 2021. "New technical indicators and stock returns predictability," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 127-142.
  100. Linyi Yang & Jiazheng Li & Ruihai Dong & Yue Zhang & Barry Smyth, 2022. "NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting," Papers 2201.01770, arXiv.org.
  101. Amer Demirovic & Ali Kabiri & David Tuckett & Rickard Nyman, 2020. "A common risk factor and the correlation between equity and corporate bond returns," Journal of Asset Management, Palgrave Macmillan, vol. 21(2), pages 119-134, March.
  102. Faccini, Renato & Matin, Rastin & Skiadopoulos, George, 2023. "Dissecting climate risks: Are they reflected in stock prices?," Journal of Banking & Finance, Elsevier, vol. 155(C).
  103. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2018. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," Financial and Monetary Policy Studies, in: Laurent Ferrara & Ignacio Hernando & Daniela Marconi (ed.), International Macroeconomics in the Wake of the Global Financial Crisis, pages 159-181, Springer.
  104. Azevedo, Luis Fernando Pereira & Pereira, Pedro L. Valls, 2018. "Effects of official and unofficial central bank communication on the Brazilian interest rate curve," Textos para discussão 470, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
  105. Alexander M. Chinco & Adam D. Clark-Joseph & Mao Ye, 2017. "Sparse Signals in the Cross-Section of Returns," NBER Working Papers 23933, National Bureau of Economic Research, Inc.
  106. Noor Zahirah Mohd Sidek & Bhuk Kiranantawat & Martusorn Khaengkhan, 2022. "The Impact of Uncertainty on Trade: The Case for a Small Port," Economies, MDPI, vol. 10(8), pages 1-18, August.
  107. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
  108. Liu, Yang & Han, Liyan & Xu, Yang, 2021. "The impact of geopolitical uncertainty on energy volatility," International Review of Financial Analysis, Elsevier, vol. 75(C).
  109. Su, Zhi & Lu, Man & Yin, Libo, 2018. "Oil prices and news-based uncertainty: Novel evidence," Energy Economics, Elsevier, vol. 72(C), pages 331-340.
  110. Dutta, Anupam & Bouri, Elie & Saeed, Tareq, 2021. "News-based equity market uncertainty and crude oil volatility," Energy, Elsevier, vol. 222(C).
  111. He, Mengxi & Zhang, Yaojie, 2022. "Climate policy uncertainty and the stock return predictability of the oil industry," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
  112. Fulop, Andras & Kocsis, Zalan, 2023. "News indices on country fundamentals," Journal of Banking & Finance, Elsevier, vol. 154(C).
  113. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Kyle J. Kost, 2019. "Policy News and Stock Market Volatility," NBER Working Papers 25720, National Bureau of Economic Research, Inc.
  114. Czudaj, Robert L., 2019. "Crude oil futures trading and uncertainty," Energy Economics, Elsevier, vol. 80(C), pages 793-811.
  115. Ehrmann, Michael & Gnan, Phillipp & Rieder, Kilian, 2023. "Central Bank Communication by ??? The Economics of Public Policy Leaks," CEPR Discussion Papers 18152, C.E.P.R. Discussion Papers.
  116. Luiz Renato Lima & Lucas Lúcio Godeiro, 2023. "Equity‐premium prediction: Attention is all you need," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 105-122, January.
  117. 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).
  118. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
  119. John Donovan & Jared Jennings & Kevin Koharki & Joshua Lee, 2021. "Measuring credit risk using qualitative disclosure," Review of Accounting Studies, Springer, vol. 26(2), pages 815-863, June.
  120. Besley, Timothy & Fetzer, Thiemo & Mueller, Hannes, 2019. "Terror and Tourism: The Economic Consequences of Media Coverage," CAGE Online Working Paper Series 449, Competitive Advantage in the Global Economy (CAGE).
  121. Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa & Wang, Yizhi, 2022. "The cryptocurrency uncertainty index," Finance Research Letters, Elsevier, vol. 45(C).
  122. Dai, Peng-Fei & Xiong, Xiong & Zhang, Jin & Zhou, Wei-Xing, 2022. "The role of global economic policy uncertainty in predicting crude oil futures volatility: Evidence from a two-factor GARCH-MIDAS model," Resources Policy, Elsevier, vol. 78(C).
  123. Gupta, Rangan & Kollias, Christos & Papadamou, Stephanos & Wohar, Mark E., 2018. "News implied volatility and the stock-bond nexus: Evidence from historical data for the USA and the UK markets," Journal of Multinational Financial Management, Elsevier, vol. 47, pages 76-90.
  124. Fang, Tong & Lee, Tae-Hwy & Su, Zhi, 2020. "Predicting the long-term stock market volatility: A GARCH-MIDAS model with variable selection," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 36-49.
  125. Dimitrios Kanelis & Pierre L. Siklos, 2022. "Emotion in Euro Area Monetary Policy Communication and Bond Yields: The Draghi Era," CQE Working Papers 10322, Center for Quantitative Economics (CQE), University of Muenster.
  126. Yao Ge & Zheng Qiao & Zhe Shen & Zhiyu Zhang, 2023. "Production similarity and the cross‐section of stock returns: A machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 4849-4882, December.
  127. Li, Zhao-Chen & Xie, Chi & Zeng, Zhi-Jian & Wang, Gang-Jin & Zhang, Ting, 2023. "Forecasting global stock market volatilities in an uncertain world," International Review of Financial Analysis, Elsevier, vol. 85(C).
  128. Paul E. Soto, 2021. "Breaking the Word Bank: Measurement and Effects of Bank Level Uncertainty," Journal of Financial Services Research, Springer;Western Finance Association, vol. 59(1), pages 1-45, April.
  129. Hitesh Doshi & Hyung Joo Kim & Sang Byung Seo, 2023. "Options on Interbank Rates and Implied Disaster Risk," Finance and Economics Discussion Series 2023-054, Board of Governors of the Federal Reserve System (U.S.).
  130. Mert Topcu & Ibrahim Yagli & Furkan Emirmahmutoglu, 2021. "COVID-19 and stock market volatility: A time-varying perspective," Economics Bulletin, AccessEcon, vol. 41(3), pages 1681-1689.
  131. Eleni Kalamara & Arthur Turrell & Chris Redl & George Kapetanios & Sujit Kapadia, 2022. "Making text count: Economic forecasting using newspaper text," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 896-919, August.
  132. Liu, Qingbai & Wang, Chuanjie & Zhang, Ping & Zheng, Kaixin, 2021. "Detecting stock market manipulation via machine learning: Evidence from China Securities Regulatory Commission punishment cases," International Review of Financial Analysis, Elsevier, vol. 78(C).
  133. Dbouk, Wassim & Moussawi-Haidar, Lama & Jaber, Mohamad Y., 2020. "The effect of economic uncertainty on inventory and working capital for manufacturing firms," International Journal of Production Economics, Elsevier, vol. 230(C).
  134. Li, Cong & Lin, Shiwei & Sun, Yihan & Afshan, Sahar & Yaqoob, Tanzeela, 2022. "The asymmetric effect of oil price, news-based uncertainty, and COVID-19 pandemic on equity market," Resources Policy, Elsevier, vol. 77(C).
  135. Plante, Michael, 2019. "OPEC in the news," Energy Economics, Elsevier, vol. 80(C), pages 163-172.
  136. George P. Gao & Xiaomeng Lu & Zhaogang Song, 2019. "Tail Risk Concerns Everywhere," Management Science, INFORMS, vol. 65(7), pages 3111-3130, July.
  137. Zheng, Hannan & Schwenkler, Gustavo, 2020. "The network of firms implied by the news," ESRB Working Paper Series 108, European Systemic Risk Board.
  138. Nima Ebrahimi & Craig Pirrong, 2020. "Oil jump risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(8), pages 1282-1311, August.
  139. Kohns, David & Bhattacharjee, Arnab, 2023. "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.
  140. Su, Zhi & Fang, Tong & Yin, Libo, 2017. "The role of news-based implied volatility among US financial markets," Economics Letters, Elsevier, vol. 157(C), pages 24-27.
  141. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
  142. Liu, Yuanyuan & Niu, Zibo & Suleman, Muhammad Tahir & Yin, Libo & Zhang, Hongwei, 2022. "Forecasting the volatility of crude oil futures: The role of oil investor attention and its regime switching characteristics under a high-frequency framework," Energy, Elsevier, vol. 238(PA).
  143. Fan, Xiaoyun & Wang, Yedong & Wang, Daoping, 2021. "Network connectedness and China's systemic financial risk contagion——An analysis based on big data," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
  144. Rouatbi, Wael & Demir, Ender & Kizys, Renatas & Zaremba, Adam, 2021. "Immunizing markets against the pandemic: COVID-19 vaccinations and stock volatility around the world," International Review of Financial Analysis, Elsevier, vol. 77(C).
  145. Tong Fang & Deyu Miao & Zhi Su & Libo Yin, 2023. "Uncertainty‐driven oil volatility risk premium and international stock market volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 872-904, July.
  146. García, Diego & Hu, Xiaowen & Rohrer, Maximilian, 2023. "The colour of finance words," Journal of Financial Economics, Elsevier, vol. 147(3), pages 525-549.
  147. Saud Asaad Al‐Thaqeb & Barrak Ghanim Algharabali & Khaled Tareq Alabdulghafour, 2022. "The pandemic and economic policy uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2784-2794, July.
  148. Agoraki, Maria-Eleni K. & Aslanidis, Nektarios & Kouretas, Georgios P., 2022. "U.S. banks’ lending, financial stability, and text-based sentiment analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 73-90.
  149. Barrett, Philip & Appendino, Maximiliano & Nguyen, Kate & de Leon Miranda, Jorge, 2022. "Measuring social unrest using media reports," Journal of Development Economics, Elsevier, vol. 158(C).
  150. Wang, Yudong & Pan, Zhiyuan & Liu, Li & Wu, Chongfeng, 2019. "Oil price increases and the predictability of equity premium," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 43-58.
  151. Sandra García- Uribe, 2018. "The effects of tax changes on economic activity: a narrative approach to frequent anticipations," Working Papers 1828, Banco de España.
  152. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.
  153. Richard Frankel & Jared Jennings & Joshua Lee, 2022. "Disclosure Sentiment: Machine Learning vs. Dictionary Methods," Management Science, INFORMS, vol. 68(7), pages 5514-5532, July.
  154. Hunjra, Ahmed Imran & Kijkasiwat, Ploypailin & Arunachalam, Murugesh & Hammami, Helmi, 2021. "Covid-19 health policy intervention and volatility of Asian capital markets," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  155. Semenova, Valentina & Winkler, Julian, 2020. "Reddit's Self-Organised Bull Runs," MPRA Paper 105443, University Library of Munich, Germany.
  156. Bahram Adrangi & Arjun Chatrath & Kambiz Raffiee, 2023. "S&P 500 volatility, volatility regimes, and economic uncertainty," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1362-1387, October.
  157. Dou, Winston Wei & Ji, Yan & Wu, Wei, 2021. "Competition, profitability, and discount rates," Journal of Financial Economics, Elsevier, vol. 140(2), pages 582-620.
  158. Adlai Fisher & Charles Martineau & Jinfei Sheng, 2022. "Macroeconomic Attention and Announcement Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 35(11), pages 5057-5093.
  159. Ghaderi, Mohammad & Kilic, Mete & Seo, Sang Byung, 2022. "Learning, slowly unfolding disasters, and asset prices," Journal of Financial Economics, Elsevier, vol. 143(1), pages 527-549.
  160. Joscha Beckmann & Robert L. Czudaj, 2020. "Professional forecasters' expectations, consistency, and international spillovers," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1001-1024, November.
  161. Huang, Dashan & Li, Jiangyuan & Wang, Liyao, 2021. "Are disagreements agreeable? Evidence from information aggregation," Journal of Financial Economics, Elsevier, vol. 141(1), pages 83-101.
  162. Chan, Kam Fong & Marsh, Terry, 2021. "Asset prices, midterm elections, and political uncertainty," Journal of Financial Economics, Elsevier, vol. 141(1), pages 276-296.
  163. Iyke, Bernard Njindan & Maheepala, M.M.J.D., 2022. "Conventional monetary policy, COVID-19, and stock markets in emerging economies," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
  164. Dai, Zhifeng & Zhu, Huan, 2020. "Stock return predictability from a mixed model perspective," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
  165. Zhang, Li & Liu, Chengyi & Zhang, Jinjin & Ke, Jinjun & Yuan, Jiayue, 2023. "Party leadership, corporate governance and stock price crash risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 88(C).
  166. Liu, Yang & Han, Liyan & Yin, Libo, 2019. "News implied volatility and long-term foreign exchange market volatility," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 126-142.
  167. Marc-André Gosselin & Temel Taskin, 2023. "What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?," Discussion Papers 2023-13, Bank of Canada.
  168. Zhang, Yaojie & Wei, Yu & Ma, Feng & Yi, Yongsheng, 2019. "Economic constraints and stock return predictability: A new approach," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 1-9.
  169. Eriksen, Jonas N., 2019. "Cross-sectional return dispersion and currency momentum," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 91-108.
  170. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  171. Jian Chen & Jiaquan Yao & Qunzi Zhang & Xiaoneng Zhu, 2023. "Global Disaster Risk Matters," Management Science, INFORMS, vol. 69(1), pages 576-597, January.
  172. Arshian Sharif & Eyup Dogan & Ameenullah Aman & Hafizah Hammad Ahmad Khan & Isma Zaighum, 2020. "Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2731-2755, September.
  173. Alejandro Bernales & Marcela Valenzuela & Ilknur Zer, 2023. "Effects of Information Overload on Financial Markets: How Much Is Too Much?," International Finance Discussion Papers 1372, Board of Governors of the Federal Reserve System (U.S.).
  174. Agoraki, Maria-Eleni & Aslanidis, Nektarios & Kouretas, Georgios P., 2021. "U.S. Banks’ lending behaviour, financial stability, and investor sentiment: A textual analysis," Working Papers 2072/534915, Universitat Rovira i Virgili, Department of Economics.
  175. Su, Zhi & Liu, Peng & Fang, Tong, 2022. "Uncertainty matters in US financial information spillovers: Evidence from a directed acyclic graph approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 229-242.
  176. Deng, Chuang & Xie, Jingxuan & Zhao, Xiuyi, 2023. "Analysis of the impact of global uncertainty on abnormal cross-border capital flows," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 338-346.
  177. Smales, L.A., 2021. "Geopolitical risk and volatility spillovers in oil and stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 358-366.
  178. Viktoriia Naboka-Krell, 2023. "Construction and Analysis of Uncertainty Indices based on Multilingual Text Representations," MAGKS Papers on Economics 202310, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  179. Mo Chen & Xuhua Hu & Jijian Zhang & Zhe Xu & Guang Yang & Zenan Sun, 2023. "Are Firms More Willing to Seek Green Technology Innovation in the Context of Economic Policy Uncertainty? —Evidence from China," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
  180. Zheng Tracy Ke & Bryan T. Kelly & Dacheng Xiu, 2019. "Predicting Returns With Text Data," NBER Working Papers 26186, National Bureau of Economic Research, Inc.
  181. Li Liu & Zhiyuan Pan & Yudong Wang, 2021. "What can we learn from the return predictability over the business cycle?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 108-131, January.
  182. Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2022. "When bitcoin lost its position: Cryptocurrency uncertainty and the dynamic spillover among cryptocurrencies before and during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 83(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.