Say anything you want about me if you spell my name right: the effect of Internet searches on financial market
Author
Abstract
Suggested Citation
DOI: 10.1007/s10100-019-00665-6
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Jaffe, Jeffrey F, 1974. "Special Information and Insider Trading," The Journal of Business, University of Chicago Press, vol. 47(3), pages 410-428, July.
- Keef, Stephen P. & Khaled, Mohammed & Zhu, Hui, 2009. "The dynamics of the Monday effect in international stock indices," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 125-133, June.
- Caporale, Guglielmo Maria & Plastun, Alex, 2019.
"The day of the week effect in the cryptocurrency market,"
Finance Research Letters, Elsevier, vol. 31(C).
- Guglielmo Maria Caporale & Alex Plastun, 2017. "The Day of the Week Effect in the Crypto Currency Market," Discussion Papers of DIW Berlin 1694, DIW Berlin, German Institute for Economic Research.
- Guglielmo Maria Caporale & Alex Plastun, 2017. "The Day of the Week Effect in the Crypto Currency Market," CESifo Working Paper Series 6716, CESifo.
- Bijl, Laurens & Kringhaug, Glenn & Molnár, Peter & Sandvik, Eirik, 2016. "Google searches and stock returns," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 150-156.
- Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
- G.M. Constantinides & M. Harris & R. M. Stulz (ed.), 2013. "Handbook of the Economics of Finance," Handbook of the Economics of Finance, Elsevier, volume 2, number 2-b, March.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Thomas Dimpfl & Stephan Jank, 2016.
"Can Internet Search Queries Help to Predict Stock Market Volatility?,"
European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
- Dimpfl, Thomas & Jank, Stephan, 2011. "Can Internet search queries help to predict stock market volatility?," University of Tübingen Working Papers in Business and Economics 18, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
- Dimpfl, Thomas & Jank, Stephan, 2011. "Can internet search queries help to predict stock market volatility?," CFR Working Papers 11-15, University of Cologne, Centre for Financial Research (CFR).
- G.M. Constantinides & M. Harris & R. M. Stulz (ed.), 2013. "Handbook of the Economics of Finance," Handbook of the Economics of Finance, Elsevier, volume 2, number 2-a, March.
- Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
- Bouri, Elie & Azzi, Georges & Dyhrberg, Anne Haubo, 2017.
"On the return-volatility relationship in the Bitcoin market around the price crash of 2013,"
Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-16.
- Bouri, Elie & Azzi, Georges & Haubo Dyhrberg, Anne, 2016. "On the return-volatility relationship in the Bitcoin market around the price crash of 2013," Economics Discussion Papers 2016-41, Kiel Institute for the World Economy (IfW Kiel).
- Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
- Klein, Tony & Pham Thu, Hien & Walther, Thomas, 2018.
"Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance,"
International Review of Financial Analysis, Elsevier, vol. 59(C), pages 105-116.
- Klein, Tony & Thu, Hien Pham & Walther, Thomas, 2018. "Bitcoin is not the New Gold - A Comparison of Volatility, Correlation, and Portfolio Performance," IRTG 1792 Discussion Papers 2018-015, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Thomas Walther & Tony Klein & Hien Pham Thu, 2018. "Bitcoin is not the New Gold - A Comparison of Volatility, Correlation, and Portfolio Performance," Working Papers on Finance 1812, University of St. Gallen, School of Finance.
- Klein, Tony & Hien, Pham Thu & Walther, Thomas, 2018. "Bitcoin Is Not the New Gold: A Comparison of Volatility, Correlation, and Portfolio Performance," QBS Working Paper Series 2018/01, Queen's University Belfast, Queen's Business School.
- Davidson, James, 2004. "Moment and Memory Properties of Linear Conditional Heteroscedasticity Models, and a New Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 16-29, January.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
- Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
- Anne Haubo Dyhrberg, 2015. "Bitcoin, Gold and the Dollar – a GARCH Volatility Analysis," Working Papers 201520, School of Economics, University College Dublin.
- Jushan Bai & Pierre Perron, 2003.
"Computation and analysis of multiple structural change models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
- BAI, Jushan & PERRON, Pierre, 1998. "Computation and Analysis of Multiple Structural-Change Models," Cahiers de recherche 9807, Universite de Montreal, Departement de sciences economiques.
- Tom Doan, "undated". "MULTIPLEBREAKS: RATS procedure to perform multiple structural change analysis," Statistical Software Components RTS00138, Boston College Department of Economics.
- Tom Doan, "undated". "RATS programs to replicate examples of Bai-Perron procedure," Statistical Software Components RTZ00008, Boston College Department of Economics.
- Tom Doan, "undated". "BAIPERRON: RATS procedure to perform Bai-Perron Test for Multiple Structural Changes," Statistical Software Components RTS00013, Boston College Department of Economics.
- Joseph, Kissan & Babajide Wintoki, M. & Zhang, Zelin, 2011. "Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1116-1127, October.
- Robert J. Shiller, 2003.
"From Efficient Markets Theory to Behavioral Finance,"
Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
- Robert J. Shiller, 2002. "From Efficient Market Theory to Behavioral Finance," Cowles Foundation Discussion Papers 1385, Cowles Foundation for Research in Economics, Yale University.
- Symitsi, Efthymia & Chalvatzis, Konstantinos J., 2018. "Return, volatility and shock spillovers of Bitcoin with energy and technology companies," Economics Letters, Elsevier, vol. 170(C), pages 127-130.
- Simone Alfarano & Iván Barreda-Tarrazona & Eva Camacho-Cuena, 2006. "On the role of heterogeneous and imperfect information in a laboratory financial market," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 417-433, December.
- Fama, Eugene F., 1998.
"Market efficiency, long-term returns, and behavioral finance,"
Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
- Eugene F Fama, "undated". "Market Efficiency, Long-Term Returns, and Behavioral Finance," CRSP working papers 448, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
- Eugene F. Fama, "undated". "Market Efficiency, Long-term Returns, and Behavioral Finance," CRSP working papers 340, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
- Seyhun, H. Nejat, 1986. "Insiders' profits, costs of trading, and market efficiency," Journal of Financial Economics, Elsevier, vol. 16(2), pages 189-212, June.
- Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
- Huber, Jurgen & Kirchler, Michael & Sutter, Matthias, 2008. "Is more information always better: Experimental financial markets with cumulative information," Journal of Economic Behavior & Organization, Elsevier, vol. 65(1), pages 86-104, January.
- Marsden, James R. & Alex Tung, Y., 1997. "Asymmetric information A laboratory experimental analysis," European Journal of Operational Research, Elsevier, vol. 99(2), pages 256-266, June.
- Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
- Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
- Philipp Hornung & Ulrike Leopold-Wildburger & Roland Mestel & Stefan Palan, 2015. "Insider behavior under different market structures: experimental evidence on trading patterns, manipulation, and profitability," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 357-373, June.
- Baur, Dirk G. & Dimpfl, Thomas & Kuck, Konstantin, 2018. "Bitcoin, gold and the US dollar – A replication and extension," Finance Research Letters, Elsevier, vol. 25(C), pages 103-110.
- Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
- Aalborg, Halvor Aarhus & Molnár, Peter & de Vries, Jon Erik, 2019. "What can explain the price, volatility and trading volume of Bitcoin?," Finance Research Letters, Elsevier, vol. 29(C), pages 255-265.
- Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
- Henryk Gurgul & Paweł Majdosz, 2007. "The informational content of insider trading disclosures: empirical results for the Polish stock market," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(1), pages 1-19, March.
- Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
- Kliber, Agata & Marszałek, Paweł & Musiałkowska, Ida & Świerczyńska, Katarzyna, 2019. "Bitcoin: Safe haven, hedge or diversifier? Perception of bitcoin in the context of a country’s economic situation — A stochastic volatility approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 246-257.
- 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.
- Shahzad, Syed Jawad Hussain & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav & Lucey, Brian, 2019. "Is Bitcoin a better safe-haven investment than gold and commodities?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 322-330.
- C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
- Chiah, Mardy & Zhong, Angel, 2019. "Day-of-the-week effect in anomaly returns: International evidence," Economics Letters, Elsevier, vol. 182(C), pages 90-92.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
- 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.
- Christophe Desagre & Catherine D'Hondt, 2020. "Googlization and retail investors' trading activity," LIDAM Discussion Papers LFIN 2020004, Université catholique de Louvain, Louvain Finance (LFIN).
- Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Attention to oil prices and its impact on the oil, gold and stock markets and their covariance," Energy Economics, Elsevier, vol. 120(C).
- Kim, Neri & Lučivjanská, Katarína & Molnár, Peter & Villa, Roviel, 2019. "Google searches and stock market activity: Evidence from Norway," Finance Research Letters, Elsevier, vol. 28(C), pages 208-220.
- Desagre, Christophe & D’Hondt, Catherine, 2021. "Googlization and retail trading activity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
- Takayuki Morimoto & Yoshinori Kawasaki, 2017. "Forecasting Financial Market Volatility Using a Dynamic Topic Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(3), pages 149-167, September.
- Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
- Hervé, Fabrice & Zouaoui, Mohamed & Belvaux, Bertrand, 2019.
"Noise traders and smart money: Evidence from online searches,"
Economic Modelling, Elsevier, vol. 83(C), pages 141-149.
- Fabrice Hervé & Mohamed Zouaoui & Bertrand Belvaux, 2019. "Noise traders and smart money: Evidence from online searches," Post-Print hal-02065042, HAL.
- 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.
- Afkhami, Mohamad & Cormack, Lindsey & Ghoddusi, Hamed, 2017. "Google search keywords that best predict energy price volatility," Energy Economics, Elsevier, vol. 67(C), pages 17-27.
- Semen Son-Turan, 2016. "The Impact of Investor Sentiment on the "Leverage Effect"," International Econometric Review (IER), Econometric Research Association, vol. 8(1), pages 4-18, April.
- María José Ayala & Nicolás Gonzálvez-Gallego & Rocío Arteaga-Sánchez, 2024. "Google search volume index and investor attention in stock market: a systematic review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
- Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
- Chen, Zhongdong & Craig, Karen Ann, 2023. "Active attention, retail investor base, and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
- Cheng, Feiyang & Chiao, Chaoshin & Wang, Chunfeng & Fang, Zhenming & Yao, Shouyu, 2021. "Does retail investor attention improve stock liquidity? A dynamic perspective," Economic Modelling, Elsevier, vol. 94(C), pages 170-183.
- Sifat, Imtiaz Mohammad & Thaker, Hassanudin Mohd Thas, 2020. "Predictive power of web search behavior in five ASEAN stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
- Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
- Tripathi, Abhinava & Pandey, Ashish, 2021. "Information dissemination across global markets during the spread of COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 103-115.
- Ramos, Sofia B. & Latoeiro, Pedro & Veiga, Helena, 2020. "Limited attention, salience of information and stock market activity," Economic Modelling, Elsevier, vol. 87(C), pages 92-108.
More about this item
Keywords
Behavioural finance; Google trends; Cryptocurrencies; GARCH models; Causality;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:cejnor:v:29:y:2021:i:2:d:10.1007_s10100-019-00665-6. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.