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Forecasting Mortgages: Internet Search Data as a Proxy for Mortgage Credit Demand. (2014). Saxa, Branislav.
In: Working Papers.
RePEc:cnb:wpaper:2014/14.

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Cited: 10

Citations received by this document

Cites: 9

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Cocites: 50

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  1. Cross-border portfolio flows and news media coverage. (2022). Spagnolo, Nicola ; Ali, Faek Menla ; Caporale, Guglielmo Maria.
    In: Journal of International Money and Finance.
    RePEc:eee:jimfin:v:126:y:2022:i:c:s0261560622000419.

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  2. Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors. (2021). Tucker, Allan ; Ali, Faek Menla ; Al-Nasseri, Alya.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:78:y:2021:i:c:s1057521921002362.

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  3. Cross-Border Portfolio Flows and News Media Coverage. (2020). Spagnolo, Nicola ; Caporale, Guglielmo Maria ; Ali, Faek Menla .
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_8112.

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  4. Impact of Behavioural Attention on the Households’ Foreign Currency Savings as a Response to the External Macroeconomic Shocks. (2019). Korab, Petr ; Kapounek, Svatopluk ; Deltuvaite, Vilma.
    In: Prague Economic Papers.
    RePEc:prg:jnlpep:v:2019:y:2019:i:2:id:690:p:155-177.

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  5. What does investors online divergence of opinion tell us about stock returns and trading volume?. (2018). Al-Nasseri, Alya ; Ali, Faek Menla.
    In: Journal of Business Research.
    RePEc:eee:jbrese:v:86:y:2018:i:c:p:166-178.

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  6. The attention of a society towards corporate brand name and its determinants within the information-rich economy. (2017). Bukovina, Jaroslav.
    In: MENDELU Working Papers in Business and Economics.
    RePEc:men:wpaper:71_2017.

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  7. Sentiment and Bitcoin Volatility. (2016). Marticek, Matus ; Bukovina, Jaroslav.
    In: MENDELU Working Papers in Business and Economics.
    RePEc:men:wpaper:58_2016.

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  8. Sentiment and Bitcoin Volatility. (2016). Bukovina, Jaroslav ; Marticek, Matus .
    In: MENDELU Working Papers in Business and Economics.
    RePEc:men:wpaper:58_2015.

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  9. Impact of Behavioural Attention on the Households’ Foreign Currency Savings as a Response to the External Macroeconomic Shocks. (). Korab, Petr ; Kapounek, Svatopluk ; Deltuvaite, Vilma.
    In: Prague Economic Papers.
    RePEc:prg:jnlpep:v:preprint:id:690:p:1-23.

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References

References cited by this document

  1. ASKITAS, N. AND K. F. ZIMMERMANN (2009): “Google Econometrics and Unemployment Forecasting.” Applied Economics Quarterly 55(2), pp. 107–120.

  2. BAUM, C. F. (2013): “STATICFC: Stata Module to Compute Static Forecasts for a Recursive Rolling Regression.” Statistical Software Components S457607, Boston College Department of Economics, revised 13 Aug 2013.
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  3. BERACHA, E. AND M. B. WINTOKI (2013): “Forecasting Residential Real Estate Price Changes from Online Search Activity.” Journal of Real Estate Research 35(3), pp. 283–312. CHOI, H. AND H. VARIAN (2009A): “Predicting the Present with Google Trends.” Technical Report, Google. Available from: http://google.com/googleblogs/pdfs/google_predicting_the_present.pdf. CHOI, H. AND H. VARIAN (2009B): “Predicting Initial Claims for Unemployment Insurance using Google Trends.” Technical Report, Google. Available from: http://research.google.com/archive/papers/initialclaimsUS.pdf.

  4. CHOI, H. AND H. VARIAN (2012): “Predicting the Present with Google Trends.” The Economic Record 88(s1), pp. 2–9.

  5. D’AMURI, F. AND J. MARCUCCI (2012): “The Predictive Power of Google Searches in Forecasting Unemployment.” Temi di discussione (Economic Working Papers) 891, Bank of Italy, Economic Research and International Relations Area.
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  6. FONDEUR, Y. AND F. KARAMÉ (2013): “Can Google Data Help Predict French Youth Unemployment?” Economic Modelling 30(C), pp. 117–125.

  7. GINSBERG, J., M. H. MOHEBBI, R. S. PATEL, L. BRAMMER, M. S. SMOLINSKI, AND L. BRILLIANT (2008): “Detecting Influenza Epidemics using Search Engine Query Data.” Nature 457(7232), pp. 1012–1014.
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  8. MCLAREN, N. AND R. SHANBHOGUE (2011): “Using Internet Search Data as Economic Indicators.” Bank of England Quarterly Bulletin 51(2), pp. 134–140.

  9. PESCYOVA, M. (2011): “Vygooglime si budúcnosť” (in Slovak only), Institute for Financial Policy at the Ministry of Finance of the Slovak Republic, Commentary No. 29, December.
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  2. Underpricing, underperformance and overreaction in initial pubic offerings: Evidence from investor attention using online searches. (2015). Krištoufek, Ladislav ; Vakrman, Tomas .
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  3. Nowcasting unemployment rates with Google searches: Evidence from the Visegrad Group countries. (2015). Krištoufek, Ladislav ; Pavlicek, Jaroslav .
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  4. How natural disasters can affect environmental concerns, risk aversion, and even politics: evidence from Fukushima and three European countries. (2015). Ziebarth, Nicolas ; Tiefenbach, Tim ; Krekel, Christian ; Goebel, Jan.
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  5. The Internet as a Data Source for Advancement in Social Sciences. (2015). Zimmermann, Klaus ; Askitas, Nikos.
    In: Working Paper Series of the German Council for Social and Economic Data.
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  6. Forecasting German Car Sales Using Google Data and Multivariate Models. (2015). Fantazzini, Dean ; Toktamysova, Zhamal .
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  7. Google searches and twitter mood: nowcasting telecom sales performance. (2015). Bughin, Jacques.
    In: Netnomics.
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  8. Google search activity data and breaking trends. (2015). Askitas, Nikos.
    In: IZA World of Labor.
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  9. The Internet as a Data Source for Advancement in Social Sciences. (2015). Zimmermann, Klaus ; Askitas, Nikos.
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  10. Google Trends and Forecasting Performance of Exchange Rate Models. (2015). .
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  11. Mapping digital businesses with big data: Some early findings from the UK. (2015). Rosso, Anna ; Nathan, Max.
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  12. How does Google search affect trader positions and crude oil prices?. (2015). Li, Xin ; Zhang, Xun ; Wang, Shouyang ; Ma, Jian.
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  13. Internet search behavior, liquidity and prices in the housing market. (2015). van Dijk, Dorinth ; Francke, Marc.
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  14. Nowcasting and Forecasting the Monthly Food Stamps Data in the US using Online Search Data. (2014). Fantazzini, Dean ; Fantazziini, Dean .
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  15. Is Bitcoin business income or speculative bubble? Unconditional vs. conditional frequency domain analysis. (2014). Tiwari, Aviral ; Selmi, Refk ; bouoiyour, jamal.
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  19. Mapping Information Economy Businesses with Big Data: Findings for the UK. (2014). Rosso, Anna ; Nathan, Max ; Bouet, Francois .
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  20. Mapping information economy businesses with big data: findings from the UK. (2014). Rosso, Anna.
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  21. Investor attention, index performance, and return predictability. (2014). Vozlyublennaia, Nadia .
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  25. Can Google searches help nowcast and forecast unemployment rates in the Visegrad Group countries?. (2014). Krištoufek, Ladislav ; Pavlicek, Jaroslav .
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