بررسی تطبیقی رابطه بین شاخص بورس و حجم جستجو به‌منظور شناسایی الگوی رفتاری معامله‌گران بازار بورس

Adelhoefer, S., Henry, S.T., Blanksteind, R., Grahame, G., Blahaa, J.M., & Dzaye, O. (2021). Declining interest in clinical imaging during the COVID-19 pandemic: An analysis of Google Trends. data Clinical Imaging, 73, 20-22.

Baker, M., & Wurgler, J. )2006(. Investor sentiment and the cross-section of stock returns. The Journal of Finance, 61, 1645-1680.

Barua, S., & Chowdhury, A. (2009). General characteristics and investment determinants in bangladesh Capital markets: evidence from dhaka stock exchange. Finance and Tourism Management, 54, ISSN 2070-3724.

Biji, L., Kringhaug, G., Molnár, P., & Sandvik, E. (2016). Google searches and stock returns. International Review of Financial Analysis , 45, 150-156.

Bineshian, Z., & Dehdar, F. (2018). Present the Model of the relationship between financial intelligence behavioral trends and their impact on investors decisions based on the theory of planned behavior. Journal of Investment Knowledge, 7(25), 203-222. (in Persian)

Böhme, H.M., Gröger, A., & Stöhrde, T. (2020). Searching for a better life: Predicting international migration with online search keywords. Journal of Development Economics, 142, 102347.

Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2 (1), 1-8.

Carneiro, H., & Mylonakis, E. (2009). Google trends: A web-based tool for real-time surveillance of disease outbreaks. Clinical Infectious Diseases, 49, 1557-1564.

Chen, H., De, P., Yu, H., & Hwang, B. (2011). Sentiment evealed in Social Media and its Effect on the Stock Market. IEEE Statistical Signal Processing Workshop.

Choi, H., & Varian, H. (2009). Predicting initial claims for unemployment benefits. Google Inc. working paper. https://static.googleusercontent.com/media/research. 

        https://www.google.com/en/archive/papers/initialclaimsUS.pdf.

Da, Z., Engelberg, J., & Gao, Pengjie. (2011). In search of attention. The Journal of Finance, 66 (5), 1461-1499.

Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor psychology and security market under- and over- reactions. The Journal of Finance, 53 (6), 1839-1885.

DeBondt, F.M.W., & Thaler, H.R. (1987). Further evidence on investor overreaction and stockmarket seasonality. The Journal of Finance, 42 (3), 557-581.

Dianati deylami, Z., Dinmohamadi, M., & Motamedi, S. (2012). Examination of investor reaction to unexpected economic and political events in Tehran stock market. Journal of Investment Knowledge, 2 (7), 55-72. (in Persian)

Duclos, R., WenWan, E., & Jiang, Y. (2013). Show me the honey! Effects of social exclusion on financial risk-taking. Journal of Consumer Research, 40, 122-135.

Fantazzini, D., & Toktamysova, Z. (2015).Forecasting German car sales using Google data and multivariate models. International Journal of Production Economics, 170, Part A, 97-135.

Frank, Z.M., & Sanati, A. (2018). How does the stock market absorb shocks? Journal of

Financial Economics, 129 (1), 136-153.

Frino, A., Jones, S., Lepone, A., & Boon, J. (2014), Market Behavior of Institutional Investors around Bankruptcy Announcements. Journal of Business Finance & Accounting, 41 (1-2), 270-295.

Golarzi, G., & Danayi, K. (2019). Evaluation of Shareholders’ Overreaction and its Comparison in Small and Large Companies (Case Study: Accepted Companies in Tehran Stock Exchange). Journal of Financial Management Perspective, 9(25), 59–76. (in Persian)

Gomes, P., & Taamouti, A. (2016). In search of the determinants of European asset market comovements. International Review of Economics & Finance, 44, 103-117.

Hamid, A. & Heiden, M. (2015). Forecasting volatility with empirical similarity and Google Trends. Journal of Economic Behavior & Organization, 117, 62-81.

Hu, H., Tang, L., Zhang, S., & Wang, H. (2018). Predicting the direction of stock markets using optimized neural networks with Google Trends. Neurocomputing, 285, 188-195.

Kurov, A. (2010). Investor sentiment and the stock market’s reaction to monetory policy. Journal of banking and finance, 34 (1), 139-149.

Mishra, K.C., & Metilda, M.J. (2015). A study on the impact of investment experience, gender, and level of education on overconfidence and self-attribution bias. IIMB Management Review, 27 (4), 228-239.

Moat, S.H., Curme, C., Avakian, A., Kennett, Y.D., Stanley, H.E., & Preis, T. (2013). Quantifying Wikipedia usage patterns before stock market moves. Scientific Reports, 3, 1-5.

Nguyen, C., Schinckus, C., & Nguyen, T. (2019). Google search and stock returns in emerging markets, Borsa İstanbul Review, 1-8.

Nicholas, B. & Thaler, R. (2004). A survey of behavioral finance in Constantinides. Journal of Psychology and Financial Markets, 2, 182-189.

Nuti, V.S., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, P.R., Chen, I.S., & Murugiah, K. (2014). The use of Google Trends in health care research: a systematic review. PLoS One, 9 (10), Article e109583.

Ortiz-Martínez, Y., Garcia-Robledo, J.E., Vásquez-Castañeda, L.D., Bonilla-Aldana, D. K., & J.Rodriguez-Morales, J.A. )2020(. Can Google trends predict COVID-19 incidence and help preparedness? The situation in Colombia. Travel Medicine and Infectious Disease, 37, Article 101703.

Philippas, D., Rjiba, H., Guesmi, K., & Goutte, S. )2019(. Media attention and Bitcoin prices. Finance Research Letters, 30, 37-43.

Shen, D., Urquhart, A., & Wang, P. (2019). Does Twitter predict Bitcoin? Economics Letters, 174, 118-122.

Sinayi, H., & Mahmoudi, E. (2005). Investigating the effect of stock breakdown news and bonus shares on stock returns in Tehran Stock Exchange. Accounting and Auditing Review, 12(1), 77-96. (in Persian)

Swamy, V., Dharanib, M., & Takeda, F. (2019). Investor attention and Google Search Volume Index: Evidence from an emerging market using quantile regression analysis. Research in International Business and Finance, 50, 1-17.

Talangi, A. (2004). Confrontation of new financial theory and behavioral finance. 17, 3-25.  (in Persian)

van der Wielen, W., & Barrios, S. (2020). Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU. Journal of Economics and Business, 105970.

Wu, B., Wang, L., Lv, S-X., & Zeng, Y-R. )2021(. Effective crude oil price forecasting using new text-based and big-data-driven model. Measurement, 168, 108468.

Xu, Q., Bo, Z., Jiang, C., & Liu, Y. (2019). Does Google search index really help predicting stock market volatility? Evidence from a modified mixed data sampling model on volatility. Knowledge-Based Systems, 166, 170-185.