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An approach to predict Spanish mortgage market activity using Google data

    1. [1] Universidad de León

      Universidad de León

      León, España

  • Localización: Economics and Business Letters, ISSN-e 2254-4380, Vol. 8, Nº. 4, 2019, págs. 209-214
  • Idioma: inglés
  • DOI: 10.17811/ebl.8.4.2019.209-214
  • Enlaces
  • Resumen
    • The aim of this paper is to use Google data to predict Spanish mortgage market activity during the period from January 2004 to January 2019. Thus, we collect monthly Google data for the keyword hipoteca, the Spanish expression for mortgage, and then, we perform a regression and an out-of-sample analysis. We find evidence that the use of Google data significantly improves prediction accuracy.

  • Referencias bibliográficas
    • Bampinas, G., Panagiotidis, T., and Rouska, C. (2019).Volatility persistence and asymmetry under the microscope: the role of information demand...
    • Ben-Rephael, A., Da, Z., and Israelsen, R. D. (2017) It Depends on Where You Search: Institutional Investor Attention and Underreaction to...
    • Beracha, E., and Wintoki, M. B. (2013) Forecasting Residential Real Estate Price Changes from Online Search Activity, The Journal of Real...
    • Choi, H., and Varian, H. (2012) Predicting the Present with Google Trends, Economic Record, 88(s1), 2–9.
    • D’Amuri, F., and Marcucci, J. (2017) The predictive power of Google searches in forecasting US unemployment, International Journal of Forecasting,...
    • Da, Z., Engelberg, J., and Gao, P. (2011) In Search of Attention, The Journal of Finance, 66(5), 1461–1499.
    • Da, Z., Engelberg, J., and Gao, P. (2015) The Sum of All FEARS Investor Sentiment and Asset Prices, Review of Financial Studies, 28(1), 1–32.
    • Dergiades, T., Milas, C., and Panagiotidis, T. (2015) Tweets, Google trends, and sovereign spreads in the GIIPS, Oxford Economic Papers, 67(2),...
    • Diebold, F. X., and Mariano, R. S. (1995) Comparing predictive accuracy, Journal of Business & Economic Statistics Jul, 13(3), 253–263.
    • Dzielinski, M. (2012) Measuring economic uncertainty and its impact on the stock market, Finance Research Letters, 9(3), 167–175.
    • Fondeur, Y., and Karamé, F. (2013) Can Google data help predict French youth unemployment?, Economic Modelling, 30, 117–125.
    • González-Fernández, M., and González-Velasco, C. (2018) Can Google econometrics predict unemployment? Evidence from Spain, Economics Letters,...
    • Han, L., Li, Z., and Yin, L. (2017) The effects of investor attention on commodity futures markets, Journal of Futures Markets, 37(10), 1031–1049.
    • Han, L., Lv, Q., and Yin, L. (2017) Can investor attention predict oil prices?, Energy Economics, 66, 547–558.
    • Lemieux, J., and Peterson, R. A. (2011) Purchase deadline as a moderator of the effects of price uncertainty on search duration, Journal of...
    • Limnios, C., and You, H. (2016) Can Google Trends Actually Improve Housing Market Forecasts?, SSRN Electronic Journal.
    • McLaren, N., and Shanbhogue, R. (2011) Using Internet Search Data as Economic Indicators, SSRN Electronic Journal.
    • Milas, C., Panagiotidis, T., and Dergiades, T. (2018) Twitter versus Traditional News Media: Evidence for the Sovereign Bond Markets, SSRN...
    • Nelson, C. R., and Plosser, C. R. (1982) Trends and random walks in macroeconmic time series, Journal of Monetary Economics, 10(2), 139–162.
    • Pérez Montes, C. (2014) The effect on competition of banking sector consolidation following the financial crisis of 2008, Journal of Banking...
    • Peri, M., Vandone, D., and Baldi, L. (2014) Internet, noise trading and commodity futures prices, International Review of Economics &...
    • Wu, L., and Brynjolfsson, E. (2015) Chapter 3 The Future of Prediction: How Google searches foreshadow housing prices and sales, in Economic...

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