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The Determinants of International Investment and Attention Allocation: Using Internet Search Query Data

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Cited by:

  1. Hill, Brian & Michalski, Tomasz, 2018. "Risk versus ambiguity and international security design," Journal of International Economics, Elsevier, vol. 113(C), pages 74-105.
  2. Wanidwaranan, Phasin & Padungsaksawasdi, Chaiyuth, 2022. "Unintentional herd behavior via the Google search volume index in international equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
  3. Iliopulos, Eleni & Perego, Erica & Sopraseuth, Thepthida, 2021. "International business cycles: Information matters," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 19-34.
  4. Tillmann, Peter, 2020. "Macroeconomic Surprises and the Demand for Information about Monetary Policy," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224545, Verein für Socialpolitik / German Economic Association.
  5. Kristoufek, Ladislav, 2015. "Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 194-205.
  6. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
  7. Cedric Mbanga & Ali F. Darrat & Jung Chul Park, 2019. "Investor sentiment and aggregate stock returns: the role of investor attention," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 397-428, August.
  8. He, Feng & Qin, Shuqi & Zhang, Xiaotao, 2021. "Investor attention and platform interest rate in Chinese peer-to-peer lending market," Finance Research Letters, Elsevier, vol. 39(C).
  9. Eichler, Stefan, 2012. "Equity home bias and corporate disclosure," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1008-1032.
  10. Jordi Mondria & Thomas Wu, 2013. "Imperfect financial integration and asymmetric information: competing explanations of the home bias puzzle?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(1), pages 310-337, February.
  11. Andreas M. Hefti, 2011. "Attention competition," ECON - Working Papers 028, Department of Economics - University of Zurich.
  12. Maryam Farboodi & Adrien Matray & Laura Veldkamp & Venky Venkateswaran, 2022. "Where Has All the Data Gone?," The Review of Financial Studies, Society for Financial Studies, vol. 35(7), pages 3101-3138.
  13. Greg Howard, 2024. "A Check for Rational Inattention," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(1), pages 172-199.
  14. Massimo Guidolin & Alexei G. Orlov & Manuela Pedio, 2018. "How good can heuristic-based forecasts be? A comparative performance of econometric and heuristic models for UK and US asset returns," Quantitative Finance, Taylor & Francis Journals, vol. 18(1), pages 139-169, January.
  15. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
  16. Rose, Andrew K. & Spiegel, Mark M., 2012. "Dollar illiquidity and central bank swap arrangements during the global financial crisis," Journal of International Economics, Elsevier, vol. 88(2), pages 326-340.
  17. Joshua Aizenman & Mahir Binici & Michael M. Hutchison, 2016. "The Transmission of Federal Reserve Tapering News to Emerging Financial Markets," International Journal of Central Banking, International Journal of Central Banking, vol. 12(2), pages 317-356, June.
  18. Jaroslav Pavlicek & Ladislav Kristoufek, 2015. "Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-11, May.
  19. Gulsah Senturk, 2022. "Can Google Search Data Improve the Unemployment Rate Forecasting Model? An Empirical Analysis for Turkey," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 229-244, July.
  20. Maryam Farboodi & Adrien Matray & Laura Veldkamp & Venky Venkateswaran, 2020. "Where Has All the Data Gone?," NBER Working Papers 26927, National Bureau of Economic Research, Inc.
  21. Ana Babus & Maryam farboodi, 2019. "The Hidden Costs of Strategic Opacity," 2019 Meeting Papers 1508, Society for Economic Dynamics.
  22. Ladislav Kristoufek, 2013. "Can Google Trends search queries contribute to risk diversification?," Papers 1310.1444, arXiv.org.
  23. Latoeiro, Pedro & Ramos, Sofía B. & Veiga, Helena, 2013. "Predictability of stock market activity using Google search queries," DES - Working Papers. Statistics and Econometrics. WS ws130605, Universidad Carlos III de Madrid. Departamento de Estadística.
  24. Mario Maggi & Pierpaolo Uberti, 2021. "Google search volumes for portfolio management: performances and asset concentration," Annals of Operations Research, Springer, vol. 299(1), pages 163-175, April.
  25. Jordi Mondria & Thomas Wu, 2012. "Familiarity and Surprises in International Financial Markets: Bad news travels like wildfire, good news travels slow," 2012 Meeting Papers 50, Society for Economic Dynamics.
  26. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
  27. Chauvet, Marcelle & Gabriel, Stuart & Lutz, Chandler, 2016. "Mortgage default risk: New evidence from internet search queries," Journal of Urban Economics, Elsevier, vol. 96(C), pages 91-111.
  28. Zhang, Yongjie & Zhang, Zuochao & Liu, Lanbiao & Shen, Dehua, 2017. "The interaction of financial news between mass media and new media: Evidence from news on Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 535-541.
  29. Steve, Heinke & Niels, Warmuth, 2016. "A Rational Inattention Perspective on Equilibrium Asset Pricing under Heterogeneous Information with Structural Breaks and Market Efficiency," MPRA Paper 68715, University Library of Munich, Germany.
  30. Chou, Julia & Zaiats, Nataliya & Zhang, Bohui, 2014. "Does auditor choice matter to foreign investors? Evidence from foreign mutual funds worldwide," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 1-20.
  31. Hellmanzik, Christiane & Schmitz, Martin, 2017. "Taking gravity online: The role of virtual proximity in international finance," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 164-179.
  32. Xiong Xiong & Zhang Jin & Feng Xu & Jin Xi, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
  33. Peter Cziraki & Jordi Mondria & Thomas Wu, 2021. "Asymmetric Attention and Stock Returns," Management Science, INFORMS, vol. 67(1), pages 48-71, January.
  34. Mondria, Jordi & Wang, Xin & Wu, Thomas, 2021. "Familiarity and Surprises in International Financial Markets: Bad news travels like wildfire; good news travels slow," Journal of International Money and Finance, Elsevier, vol. 115(C).
  35. Peter Tillmann, 2020. "Macroeconomic Surprises and the Demand for Information about Monetary Policy," MAGKS Papers on Economics 202007, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  36. Agnieszka P. Markiewicz & Ralph C. Verhoeks & Willem F. C. Verschoor & Remco C. J. Zwinkels, 2023. "Inattentive Search for Currency Fundamentals," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(4), pages 907-952, December.
  37. Avdiu, Besart & Gruhle, Tobias, 2022. "Contagion and information frictions in emerging markets: The role of joint signals," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 147-173.
  38. Avoyan, Ala & Romagnoli, Giorgia, 2023. "Paying for inattention," Economics Letters, Elsevier, vol. 226(C).
  39. Glick, Reuven & Hutchison, Michael, 2013. "China's financial linkages with Asia and the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 39(C), pages 186-206.
  40. Eichler, Stefan, 2012. "Limited investor attention and the mispricing of American Depositary Receipts," Economics Letters, Elsevier, vol. 115(3), pages 490-492.
  41. Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
  42. Matějka, Filip & Mackowiak, Bartosz & Wiederholt, Mirko, 2018. "Survey: Rational Inattention, a Disciplined Behavioral Model," CEPR Discussion Papers 13243, C.E.P.R. Discussion Papers.
  43. Feng Dong, 2020. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 467-488, September.
  44. Peltomäki, Jarkko & Graham, Michael & Hasselgren, Anton, 2018. "Investor attention to market categories and market volatility: The case of emerging markets," Research in International Business and Finance, Elsevier, vol. 44(C), pages 532-546.
  45. Hua Wu & Taiwen Feng & Wenbo Jiang & Ting Kong, 2022. "Environmental Penalties, Investor Attention and Stock Market Reaction: Moderating Roles of Air Pollution and Industry Saliency," IJERPH, MDPI, vol. 19(5), pages 1-27, February.
  46. Nikkinen, Jussi & Rothovius, Timo, 2019. "The EIA WPSR release, OVX and crude oil internet interest," Energy, Elsevier, vol. 166(C), pages 131-141.
  47. Benhima, Kenza & Bolliger, Elio, 2022. "Do Local Forecasters Have Better Information?," MPRA Paper 117072, University Library of Munich, Germany, revised Sep 2023.
  48. Mehwish Aziz Khan & Eatzaz Ahmad, 2018. "Measurement of Investor Sentiment and Its Bi-Directional Contemporaneous and Lead–Lag Relationship with Returns: Evidence from Pakistan," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
  49. Na, Haejung & Kim, Soonho, 2021. "Predicting stock prices based on informed traders’ activities using deep neural networks," Economics Letters, Elsevier, vol. 204(C).
  50. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "A sentiment index to measure sovereign risk using Google data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 406-418.
  51. repec:ipg:wpaper:2014-405 is not listed on IDEAS
  52. Joon Chae & Ryumi Kim & Jaehee Han, 2020. "Investor Attention from Internet Search Volume and Underreaction to Earnings Announcements in Korea," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
  53. Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Ribeiro-Soriano, Domingo, 2020. "Does investor attention influence water companies’ stock returns?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  54. Amal Aouadi & Mohamed Arouri & Frédéric Teulon, 2014. "Investor Following and Volatility: A GARCH Approach," Working Papers 2014-286, Department of Research, Ipag Business School.
  55. Rashid AMIN & Habib AHMAD, 2013. "Does Investor Attention Matter�S?," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 4(4), pages 111-125, December.
  56. Stracca, Livio & Habib, Maurizio Michael, 2013. "Foreign investors and risk shocks: seeking a safe haven or running for the exit?," Working Paper Series 1609, European Central Bank.
  57. Avdiu, Besart & Gruhle, Tobias, 2018. "Contagion and information frictions in emerging markets: the role of joint signals," MPRA Paper 84872, University Library of Munich, Germany.
  58. Ana Brochado, 2016. "Investor attention and Portuguese stock market volatility: We’ll google it for you!," EcoMod2016 9345, EcoMod.
  59. Jaroslav Pavlicek & Ladislav Kristoufek, 2014. "Can Google searches help nowcast and forecast unemployment rates in the Visegrad Group countries?," Papers 1408.6639, arXiv.org.
  60. Gao, Lei & Mei, Bin, 2013. "Investor attention and abnormal performance of timberland investments in the United States," Forest Policy and Economics, Elsevier, vol. 28(C), pages 60-65.
  61. Bonam, Dennis & Goy, Gavin, 2019. "Home biased expectations and macroeconomic imbalances in a monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 25-42.
  62. F. Henrique Castro & Marcelo Guzella, 2021. "Individual investor attention and the predictability of stock market volatility and returns," Economics Bulletin, AccessEcon, vol. 41(3), pages 1418-1424.
  63. Mišečka, Tomáš & Ciaian, Pavel & Rajčániová, Miroslava & Pokrivčák, Jan, 2019. "In search of attention in agricultural commodity markets," Economics Letters, Elsevier, vol. 184(C).
  64. Tantaopas, Parkpoom & Padungsaksawasdi, Chaiyuth & Treepongkaruna, Sirimon, 2016. "Attention effect via internet search intensity in Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 107-124.
  65. A. Sarath Babu, 2019. "Investors` attention and American depository receipts pricing: evidence from Indian stocks," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 9(12), pages 381-386, December.
  66. Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
  67. Feng Dong, 0. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-22.
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