IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Nowcasting Credit Demand in Turkey with Google Trends Data

Listed author(s):
  • Omer ZEYBEK

    ()

    (ING Bank Turkey Analytic CRM Dept.,)

  • Erginbay UGURLU

    ()

    (Hitit Universitesi, FEAS, Department of Economics)

Age of Big Data and internet has brought variety of opportunities for social researchers on identifying on-going social trends instantly. As internet user base grew exponentially, major internet content search companies have begun to offer data mining products which could extract attitude of on-going trends and identify new trends on web as well. Since 2009, as a pioneer on these web analytics solutions Google has launched Google Trends service, which enables to researchers to examine change of trend on specific keywords. We use weekly Google Trends Index of 'General Purpose Loan' (GT) and total out-standing volume of Turkish banking system from the data period of first week of March 2011 to second week of September 2014. In this paper we test whether the Google Analytics search index series can be used as a consistent forecaster of national general purpose loan (GPL] demand in Turkey. We show how to use search engine data to forecast Turkish GPL demand. The results show that Google search query data is successful at nowcasting GPL demand.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://icesba.eu/RePEc/icb/wpaper/ICESBA2014_41ZEYBEK_P333-340.pdf
Download Restriction: no

Article provided by Spiru Haret University in its journal Published in Procedia of Economics and Business Administration.

Volume (Year): 1 (2014)
Issue (Month): 1 (December)
Pages: 333-340

as
in new window

Handle: RePEc:icb:wpaper:v:1:y:2014:i:1:333-340
Contact details of provider: Web page: http://icesba.eu

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Meltem Gulenay Chadwick & Gonul Sengul, 2012. "Nowcasting Unemployment Rate in Turkey : Let's Ask Google," Working Papers 1218, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
  2. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:icb:wpaper:v:1:y:2014:i:1:333-340. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rocsana Bucea-Manea-Tonis)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.