1. From digital search to deed: Forecasting UK housing purchases in Spain using Google Trends across the Brexit disruption. (2025). Onrubia, Jorge ; Pinto, Fernando ; del Carmen, Mara.
   In: Working Papers.
   RePEc:fda:fdaddt:2025-08.

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2. Value of Communication and Social Media: An Equilibrium Theory of Messaging. (2023). Anglin, Paul ; Gao, Yanmin.
   In: The Journal of Real Estate Finance and Economics.
   RePEc:kap:jrefec:v:66:y:2023:i:4:d:10.1007_s11146-021-09865-x.

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3. Long-run and short-run impact of the U.S. economy on stock, bond and housing markets: An evaluation of U.S. and six major economies. (2023). Yunus, Nafeesa.
   In: The Quarterly Review of Economics and Finance.
   RePEc:eee:quaeco:v:90:y:2023:i:c:p:211-232.

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4. Co‐movement among oil, stock, bond, and housing markets: An analysis of U.S., Asian, and European economies. (2023). Yunus, Nafeesa.
   In: International Review of Finance.
   RePEc:bla:irvfin:v:23:y:2023:i:2:p:393-436.

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5. Predicting House Prices Using DMA Method: Evidence from Turkey. (2022). Drachal, Krzysztof ; Hacievliyagil, Nuri ; Eksi, Ibrahim Halil.
   In: Economies.
   RePEc:gam:jecomi:v:10:y:2022:i:3:p:64-:d:768364.

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6. FEAR Index, city characteristics, and housing returns. (2022). Saydometov, Sergiy ; Sabherwal, Sanjiv ; Aroul, Ramya Rajajagadeesan.
   In: Real Estate Economics.
   RePEc:bla:reesec:v:50:y:2022:i:1:p:173-205.

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7. Forecasting building permits with Google Trends. (2021). Pincheira, Pablo ; Coble, David.
   In: Empirical Economics.
   RePEc:spr:empeco:v:61:y:2021:i:6:d:10.1007_s00181-020-02011-1.

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8. Real and fake data in Shanghai€™s informal rental housing market: Groundtruthing data scraped from the internet. (2021). Harten, Julia Gabriele ; Brazier, Cressica J ; Kim, Annette M.
   In: Urban Studies.
   RePEc:sae:urbstu:v:58:y:2021:i:9:p:1831-1845.

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9. Time-varying linkages among gold, stocks, bonds and real estate. (2020). Yunus, Nafeesa.
   In: The Quarterly Review of Economics and Finance.
   RePEc:eee:quaeco:v:77:y:2020:i:c:p:165-185.

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10. Nowcasting Building Permits with Google Trends. (2017). Pincheira, Pablo ; Coble, David.
    In: MPRA Paper.
    RePEc:pra:mprapa:76514.

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11. Forecasting house prices using dynamic model averaging approach: Evidence from China. (2017). Wei, YU ; Cao, Yang.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:61:y:2017:i:c:p:147-155.

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1. The impact of Russian sanctions on the return of agricultural commodity futures in the EU. (2020). Klomp, Jeroen.
   In: Research in International Business and Finance.
   RePEc:eee:riibaf:v:51:y:2020:i:c:s0275531919305781.

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2. Attention-grabbing IPOs in early stages for IT firms: An empirical analysis of post-IPO performance. (2020). Kwon, Youngok ; Chang, Young Bong.
   In: Journal of Business Research.
   RePEc:eee:jbrese:v:109:y:2020:i:c:p:111-119.

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3. How Unemployment Affects Bond Prices: A Mixed Frequency Google Nowcasting Approach. (2019). Dimpfl, Thomas ; Langen, Tobias.
   In: Computational Economics.
   RePEc:kap:compec:v:54:y:2019:i:2:d:10.1007_s10614-018-9840-7.

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4. Investor Attention and Stock Market Activities: New Evidence from Panel Data. (2019). Brooks, Robert ; Treepongkaruna, Sirimon ; Padungsaksawasdi, Chaiyuth.
   In: IJFS.
   RePEc:gam:jijfss:v:7:y:2019:i:2:p:30-:d:239245.

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5. Investor attention and Google Search Volume Index: Evidence from an emerging market using quantile regression analysis. (2019). Takeda, Fumiko ; Swamy, Vighneswara ; Dharani, M.
   In: Research in International Business and Finance.
   RePEc:eee:riibaf:v:50:y:2019:i:c:p:1-17.

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6. Investors’ financial attention frequency and trading activity. (2019). Lu, Jing ; Cai, Wenwu.
   In: Pacific-Basin Finance Journal.
   RePEc:eee:pacfin:v:58:y:2019:i:c:s0927538x19301684.

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7. Production and dissemination of corporate information in social media: A review. (2019). Li, Yutao ; Luo, Yan ; Lei, Lijun.
   In: Journal of Accounting Literature.
   RePEc:eee:joacli:v:42:y:2019:i:c:p:29-43.

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8. Forecasting sales in the supply chain: Consumer analytics in the big data era. (2019). Boone, Tonya ; Ganeshan, Ram ; Sanders, Nada R ; Jain, Aditya.
   In: International Journal of Forecasting.
   RePEc:eee:intfor:v:35:y:2019:i:1:p:170-180.

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9. Google searches and stock market activity: Evidence from Norway. (2019). Molnár, Peter ; Villa, Roviel ; Molnar, Peter ; Kim, Neri ; Luivjanska, Katarina.
   In: Finance Research Letters.
   RePEc:eee:finlet:v:28:y:2019:i:c:p:208-220.

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10. Today I got a million, tomorrow, I dont know: On the predictability of cryptocurrencies by means of Google search volume. (2019). Dimpfl, Thomas ; Bleher, Johannes.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:63:y:2019:i:c:p:147-159.

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11. In search of attention in agricultural commodity markets. (2019). Rajcaniova, Miroslava ; Pokrivcak, Jan ; Ciaian, Pavel ; Mieka, Toma ; Rajaniova, Miroslava ; Pokrivak, Jan.
    In: Economics Letters.
    RePEc:eee:ecolet:v:184:y:2019:i:c:s0165176519303337.

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12. Noise traders and smart money: Evidence from online searches. (2019). Herve, Fabrice ; belvaux, bertrand ; Zouaoui, Mohamed.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:83:y:2019:i:c:p:141-149.

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13. Investor Pessimism and the German Stock Market: Exploring Google Search Queries. (2019). Dimpfl, Thomas ; Kleiman, Vladislav.
    In: German Economic Review.
    RePEc:bla:germec:v:20:y:2019:i:1:p:1-28.

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14. Investors` attention and American depository receipts pricing: evidence from Indian stocks. (2019). Babu, Sarath A.
    In: Asian Journal of Empirical Research.
    RePEc:asi:ajoerj:2019:p:381-386.

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15. Exploring the Driving Forces of the Bitcoin Exchange Rate Dynamics: An EGARCH Approach. (2018). Zhou, Siwen.
    In: MPRA Paper.
    RePEc:pra:mprapa:89445.

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16. Internet attention and information asymmetry: Evidence from Qihoo 360 search data on the Chinese stock market. (2018). Wang, Yaojun ; Gao, Yang ; Liu, Chao.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:510:y:2018:i:c:p:802-811.

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17. The puzzling media effect in the Chinese stock market. (2018). Huang, Tzu-Lun.
    In: Pacific-Basin Finance Journal.
    RePEc:eee:pacfin:v:49:y:2018:i:c:p:129-146.

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18. Volume shocks and stock returns: An alternative test. (2018). Chiah, Mardy ; Chai, Daniel ; Li, Bob ; Zhong, Angel.
    In: Pacific-Basin Finance Journal.
    RePEc:eee:pacfin:v:48:y:2018:i:c:p:1-16.

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19. What drives the demand for information in the commodity market?. (2018). Qadan, Mahmoud ; Aharon, David Y.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:59:y:2018:i:c:p:532-543.

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20. Ambiguities in valuing information technology firms: Do internet searches help?. (2018). Kwon, Youngok ; Chang, Young Bong.
    In: Journal of Business Research.
    RePEc:eee:jbrese:v:92:y:2018:i:c:p:260-269.

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21. Crude oil price forecasting based on internet concern using an extreme learning machine. (2018). Hyndman, Rob ; Athanasopoulos, George ; Wang, Shouyang.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:34:y:2018:i:4:p:665-677.

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22. Effects of investor attention on commodity futures markets. (2018). Kou, YI ; Wang, Xiaolin ; Ye, Qiang ; Zhao, Feng.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:25:y:2018:i:c:p:190-195.

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23. Can Google econometrics predict unemployment? Evidence from Spain. (2018). González-Fernández, Marcos ; Gonzalez-Fernandez, Marcos ; Gonzalez-Velasco, Carmen.
    In: Economics Letters.
    RePEc:eee:ecolet:v:170:y:2018:i:c:p:42-45.

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24. Information demand and stock market liquidity: International evidence. (2018). Roubaud, David ; AROURI, Mohamed ; Aouadi, Amal.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:70:y:2018:i:c:p:194-202.

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25. Forecasting Financial Market Volatility Using a Dynamic Topic Model. (2017). Kawasaki, Yoshinori ; Morimoto, Takayuki.
    In: Asia-Pacific Financial Markets.
    RePEc:kap:apfinm:v:24:y:2017:i:3:d:10.1007_s10690-017-9228-z.

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26. The use of open source internet to analysis and predict stock market trading volume. (2017). ben Ouda, Olfa ; Moussa, Faten ; Delhoumi, Ezzeddine.
    In: Research in International Business and Finance.
    RePEc:eee:riibaf:v:41:y:2017:i:c:p:399-411.

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27. Stock return and volatility reactions to information demand and supply. (2017). ben Ouda, Olfa ; Moussa, Faten ; Delhoumi, Ezzeddine.
    In: Research in International Business and Finance.
    RePEc:eee:riibaf:v:39:y:2017:i:pa:p:54-67.

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28. Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks. (2017). Takeda, Fumiko ; Adachi, Yuta ; Masuda, Motoki.
    In: Pacific-Basin Finance Journal.
    RePEc:eee:pacfin:v:46:y:2017:i:pb:p:243-257.

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29. How security prices respond to a surge in investor attention: Evidence from Google Search of ADRs. (2017). Tang, Wenbin ; Zhu, Lili.
    In: Global Finance Journal.
    RePEc:eee:glofin:v:33:y:2017:i:c:p:38-50.

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30. Modeling and predicting oil VIX: Internet search volume versus traditional mariables. (2017). Reyes, T ; Campos, I ; Cortazar, G.
    In: Energy Economics.
    RePEc:eee:eneeco:v:66:y:2017:i:c:p:194-204.

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31. Investor attention and Portuguese stock market volatility: We’ll google it for you!. (2016). Brochado, Ana.
    In: EcoMod2016.
    RePEc:ekd:009007:9345.

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32. Googling gold and mining bad news. (2016). Dimpfl, Thomas ; Baur, Dirk G.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:50:y:2016:i:c:p:306-311.

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33. In Search of Concepts: The Effects of Speculative Demand on Stock Returns. (2016). Wang, Qingwei ; HASAN, IFTEKHAR ; ap Gwilym, Owain ; Xie, RU.
    In: European Financial Management.
    RePEc:bla:eufman:v:22:y:2016:i:3:p:427-449.

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34. Can Internet Search Queries Help to Predict Stock Market Volatility?. (2016). Dimpfl, Thomas ; Jank, Stephan.
    In: European Financial Management.
    RePEc:bla:eufman:v:22:y:2016:i:2:p:171-192.

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35. Underpricing, underperformance and overreaction in initial pubic offerings: Evidence from investor attention using online searches. (2015). Krištoufek, Ladislav ; Vakrman, Tomas .
    In: FinMaP-Working Papers.
    RePEc:zbw:fmpwps:35.

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36. Online Information Search, Market Fundamentals and Apartment Real Estate. (2015). Das, Prashant ; Coulson, N ; Ziobrowski, Alan.
    In: The Journal of Real Estate Finance and Economics.
    RePEc:kap:jrefec:v:51:y:2015:i:4:p:480-502.

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37. Intercity Information Diffusion and Price Discovery in Housing Markets: Evidence from Google Searches. (2015). Wu, Jing ; Deng, Yongheng.
    In: The Journal of Real Estate Finance and Economics.
    RePEc:kap:jrefec:v:50:y:2015:i:3:p:289-306.

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38. Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components. (2015). Krištoufek, Ladislav.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:428:y:2015:i:c:p:194-205.

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39. Investor attention and FX market volatility. (2015). Goddard, John ; Wang, Qingwei ; Kita, Arben.
    In: Journal of International Financial Markets, Institutions and Money.
    RePEc:eee:intfin:v:38:y:2015:i:c:p:79-96.

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40. How does Google search affect trader positions and crude oil prices?. (2015). Zhang, Xun ; Li, Xin ; Wang, Shouyang ; Ma, Jian.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:49:y:2015:i:c:p:162-171.

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41. Investor attention and stock market activity: Evidence from France. (2014). Arouri, Mohamed ; Aouadi, Amal.
    In: Working Papers.
    RePEc:ipg:wpaper:2014-405.

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42. Internet, noise trading and commodity futures prices. (2014). Peri, Massimo ; Baldi, Lucia ; Vandone, Daniela.
    In: International Review of Economics & Finance.
    RePEc:eee:reveco:v:33:y:2014:i:c:p:82-89.

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43. Google search intensity and its relationship with returns and trading volume of Japanese stocks. (2014). Takeda, Fumiko ; Wakao, Takumi .
    In: Pacific-Basin Finance Journal.
    RePEc:eee:pacfin:v:27:y:2014:i:c:p:1-18.

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44. Speculate against speculative demand. (2014). Wang, Qingwei ; ap Gwilym, Owain ; Kita, A..
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:34:y:2014:i:c:p:212-221.

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45. Do individual investors’ stock recommendations in online communities contain investment value?. (2013). Nitzsch, Rudiger ; Stephan, Philipp .
    In: Financial Markets and Portfolio Management.
    RePEc:kap:fmktpm:v:27:y:2013:i:2:p:149-186.

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46. Investor attention and abnormal performance of timberland investments in the United States. (2013). Gao, Lei ; Mei, Bin.
    In: Forest Policy and Economics.
    RePEc:eee:forpol:v:28:y:2013:i:c:p:60-65.

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47. Google attention and target price run ups. (2013). Siganos, Antonios.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:29:y:2013:i:c:p:219-226.

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48. Investor attention and stock market activity: Evidence from France. (2013). AROURI, Mohamed ; AOUADI, AMAL ; Teulon, Frederic.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:35:y:2013:i:c:p:674-681.

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49. Open source information, investor attention, and asset pricing. (2013). Shen, Dehua ; Zhang, Yongjie ; Xiong, Xiong.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:33:y:2013:i:c:p:613-619.

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50. In search of concepts : The effects of speculative demand on returns and volume. (2013). HASAN, IFTEKHAR ; ap Gwilym, Owain ; Xie, RU ; Wang, Qvigwei.
    In: Research Discussion Papers.
    RePEc:bof:bofrdp:2013_010.

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