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Stephan Jank

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jank, Stephan, 2012. "Changes in the composition of publicly traded firms: Implications for the dividend-price ratio and return predictability," CFR Working Papers 12-08, University of Cologne, Centre for Financial Research (CFR).

    Cited by:

    1. Trapp, Monika & Wewel, Claudio, 2012. "Transatlantic systemic risk," CFR Working Papers 12-10, University of Cologne, Centre for Financial Research (CFR).

  2. Jank, Stephan, 2011. "Mutual fund flows, expected returns, and the real economy," CFR Working Papers 11-04, University of Cologne, Centre for Financial Research (CFR).

    Cited by:

    1. Fiza Qureshi & Ali M. Kutan & Habib Hussain Khan & Saba Qureshi, 2019. "Equity fund flows, market returns, and market risk: evidence from China," Risk Management, Palgrave Macmillan, vol. 21(1), pages 48-71, March.
    2. Abbas Hejri, 2022. "On the recent developments of mutual funds with fixed‐income holdings: a systematic review," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2313-2338, June.
    3. Moritz Wagner & John Byong-Tek Lee & Dimitris Margaritis, 2018. "Mutual Fund Flows and Seasonalities in Stock Returns," Working Papers in Economics 18/17, University of Canterbury, Department of Economics and Finance.
    4. Chang, Chia-Lin & Ke, Yu-Pei, 2014. "Testing Price Pressure, Information, Feedback Trading, and Smoothing Effects for Energy Exchange Traded Funds," MPRA Paper 57625, University Library of Munich, Germany.
    5. J. Alsubaiei, Bader & Calice, Giovanni & Vivian, Andrew, 2021. "Sovereign CDS and mutual funds: Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    6. Qureshi, Fiza & Khan, Habib Hussain & Rehman, Ijaz Ur & Ghafoor, Abdul & Qureshi, Saba, 2019. "Mutual fund flows and investors’ expectations in BRICS economies: Implications for international diversification," Economic Systems, Elsevier, vol. 43(1), pages 130-150.
    7. Ülkü, Numan & Weber, Enzo, 2013. "Identifying the interaction between stock market returns and trading flows of investor types: Looking into the day using daily data," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2733-2749.
    8. Roll, Richard & Schwartz, Eduardo & Subrahmanyam, Avanidhar, 2014. "Trading activity in the equity market and its contingent claims: An empirical investigation," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 13-35.
    9. Fricke, Daniel & Jank, Stephan & Wilke, Hannes, 2022. "Who creates and who bears flow externalities in mutual funds?," Discussion Papers 41/2022, Deutsche Bundesbank.
    10. Fong, Tom Pak Wing & Sze, Angela Kin Wan & Ho, Edmund Ho Cheung, 2018. "Determinants of equity mutual fund flows – Evidence from the fund flow dynamics between Hong Kong and global markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 231-247.
    11. Stefan Nagel & Zhen Yan, 2022. "Inflation Hedging on Main Street? Evidence from Retail TIPS Fund Flows," CESifo Working Paper Series 10118, CESifo.
    12. Florian Röder & Andreas Walter, 2019. "What Drives Investment Flows Into Social Trading Portfolios?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(2), pages 383-411, July.
    13. Sirio Aramonte & Chiara Scotti & Ilknur Zer, 2020. "Measuring the Liquidity Profile of Mutual Funds," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 143-178, October.
    14. Paek, Miyoun & Ko, Kwangsoo, 2014. "Aggregate net flows, inflows, and outflows of equity funds: The U.S. versus Japan," Japan and the World Economy, Elsevier, vol. 32(C), pages 85-95.
    15. Vassilios Babalos & Guglielmo Maria Caporale & Nicola Spagnolo, 2016. "Equity Fund Flows and Stock Market Returns in the US before and after the Global Financial Crisis: A VAR-GARCH-in-mean Analysis," CESifo Working Paper Series 5932, CESifo.
    16. Rakowski, David & Yamani, Ehab, 2021. "Endogeneity in the mutual fund flow–performance relationship: An instrumental variables solution," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 247-271.
    17. Borjigin, Sumuya & Yang, Yating & Yang, Xiaoguang & Sun, Leilei, 2018. "Econometric testing on linear and nonlinear dynamic relation between stock prices and macroeconomy in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 107-115.
    18. Steve Nenninger & David Rakowski, 2014. "Time-varying flow-performance sensitivity and investor sophistication," Journal of Asset Management, Palgrave Macmillan, vol. 15(5), pages 333-345, October.
    19. Babalos, Vassilios & Balcilar, Mehmet, 2017. "Does institutional trading drive commodities prices away from their fundamentals: Evidence from a nonparametric causality-in-quantiles test," Finance Research Letters, Elsevier, vol. 21(C), pages 126-131.
    20. Lee, Bong Soo & Paek, Miyoun & Ha, Yeonjeong & Ko, Kwangsoo, 2015. "The dynamics of market volatility, market return, and equity fund flow: International evidence," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 214-227.
    21. Qureshi, Fiza & Kutan, Ali M. & Ismail, Izlin & Gee, Chan Sok, 2017. "Mutual funds and stock market volatility: An empirical analysis of Asian emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 176-192.
    22. Qureshi, Fiza & Kutan, Ali M. & Ghafoor, Abdul & Hussain Khan, Habib & Qureshi, Zeeshan, 2019. "Dynamics of mutual funds and stock markets in Asian developing economies," Journal of Asian Economics, Elsevier, vol. 65(C).
    23. Vidal, Marta & Vidal-García, Javier & Lean, Hooi Hooi & Uddin, Gazi Salah, 2015. "The relation between fees and return predictability in the mutual fund industry," Economic Modelling, Elsevier, vol. 47(C), pages 260-270.
    24. Jesus Sierra, 2012. "Consumer Interest Rates and Retail Mutual Fund Flows," Staff Working Papers 12-39, Bank of Canada.
    25. Perez Katarzyna & Szczyt Małgorzata, 2021. "Classification of Open-End Investment Funds Using Artificial Neural Networks. The Case of Polish Equity Funds," Central European Economic Journal, Sciendo, vol. 8(55), pages 269-284, January.
    26. Luo Wang & Bin Li & Rakesh Gupta & Jen-Je Su & Benjamin Liu, 2017. "Return Predictability in Australian Managed Funds," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 16(1), pages 1-19, June.

  3. Dimpfl, Thomas & Jank, Stephan, 2011. "Can internet search queries help to predict stock market volatility?," CFR Working Papers 11-15, University of Cologne, Centre for Financial Research (CFR).

    Cited by:

    1. Pete Richardson, 2018. "Nowcasting and the Use of Big Data in Short-Term Macroeconomic Forecasting: A Critical Review," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 505-506, pages 65-87.
    2. Aharon, David Y. & Qadan, Mahmoud, 2020. "When do retail investors pay attention to their trading platforms?," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    3. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    4. Urquhart, Andrew, 2018. "What causes the attention of Bitcoin?," Economics Letters, Elsevier, vol. 166(C), pages 40-44.
    5. Chen, Rongda & Wu, Ling & Jin, Chenglu & Wang, Shengnan, 2021. "Unintended investor sentiment on bank financial products: Evidence from China," Emerging Markets Review, Elsevier, vol. 49(C).
    6. Ramos, Sofia B. & Latoeiro, Pedro & Veiga, Helena, 2020. "Limited attention, salience of information and stock market activity," Economic Modelling, Elsevier, vol. 87(C), pages 92-108.
    7. Zhen-Hua Yang & Jian-Guo Liu & Chang-Rui Yu & Jing-Ti Han, 2017. "Quantifying the effect of investors’ attention on stock market," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-16, May.
    8. Yen-Ju Hsu & Yang-Cheng Lu & J. Jimmy Yang, 2021. "News sentiment and stock market volatility," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 1093-1122, October.
    9. Zhang, Ziqi & Su, Zhi & Wang, Ke & Zhang, Yongji, 2022. "Corporate environmental information disclosure and stock price crash risk: Evidence from Chinese listed heavily polluting companies," Energy Economics, Elsevier, vol. 112(C).
    10. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2021. "Investor sentiment and stock returns: Global evidence," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 365-391.
    11. Chundakkadan, Radeef & Nedumparambil, Elizabeth, 2022. "In search of COVID-19 and stock market behavior," Global Finance Journal, Elsevier, vol. 54(C).
    12. Chen, Shuning & Zhang, Wei & Feng, Xu & Xiong, Xiong, 2020. "Asymmetry of retail investors’ attention and asymmetric volatility: Evidence from China," Finance Research Letters, Elsevier, vol. 36(C).
    13. Martina Halouskov'a & Daniel Stav{s}ek & Mat'uv{s} Horv'ath, 2022. "The role of investor attention in global asset price variation during the invasion of Ukraine," Papers 2205.05985, arXiv.org, revised Aug 2022.
    14. Ballinari, Daniele & Audrino, Francesco & Sigrist, Fabio, 2022. "When does attention matter? The effect of investor attention on stock market volatility around news releases," International Review of Financial Analysis, Elsevier, vol. 82(C).
    15. Schaer, Oliver & Kourentzes, Nikolaos & Fildes, Robert, 2019. "Demand forecasting with user-generated online information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 197-212.
    16. Huang, Jianbai & Tang, Jing & Zhang, Hongwei, 2020. "The effect of investors’ information search behaviors on rebar market return dynamics using high frequency data," Resources Policy, Elsevier, vol. 66(C).
    17. Desagre, Christophe & D’Hondt, Catherine, 2021. "Googlization and retail trading activity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    18. Jukka Ruohonen & Sami Hyrynsalmi, 2017. "Evaluating the use of internet search volumes for time series modeling of sales in the video game industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 351-370, November.
    19. Qadan, Mahmoud & Zoua’bi, Maher, 2019. "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
    20. Semen Son-Turan, 2016. "The Impact of Investor Sentiment on the "Leverage Effect"," International Econometric Review (IER), Econometric Research Association, vol. 8(1), pages 4-18, April.
    21. Jain, Anshul & Biswal, Pratap Chandra, 2019. "Does internet search interest for gold move the gold spot, stock and exchange rate markets? A study from India," Resources Policy, Elsevier, vol. 61(C), pages 501-507.
    22. Halousková, Martina & Stašek, Daniel & Horváth, Matúš, 2022. "The role of investor attention in global asset price variation during the invasion of Ukraine," Finance Research Letters, Elsevier, vol. 50(C).
    23. Anastasiou, Dimitris & Ballis, Antonis & Drakos, Konstantinos, 2022. "Constructing a positive sentiment index for COVID-19: Evidence from G20 stock markets," International Review of Financial Analysis, Elsevier, vol. 81(C).
    24. Bergsli, Lykke Øverland & Lind, Andrea Falk & Molnár, Peter & Polasik, Michał, 2022. "Forecasting volatility of Bitcoin," Research in International Business and Finance, Elsevier, vol. 59(C).
    25. Amal Aouadi & Mohamed Arouri & Frédéric Teulon, 2014. "Investor Following and Volatility: A GARCH Approach," Working Papers 2014-286, Department of Research, Ipag Business School.
    26. Yongqiang Meng & Dehua Shen & Xiong Xiong & Jorgen Vitting Andersen, 2020. "A Socio-Finance Model: The Case of Bitcoin," Documents de travail du Centre d'Economie de la Sorbonne 20031, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    27. Fan, Xiaoqian & Yuan, Ying & Zhuang, Xintian & Jin, Xiu, 2017. "Long memory of abnormal investor attention and the cross-correlations between abnormal investor attention and trading volume, volatility respectively," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 323-333.
    28. Ana Brochado, 2016. "Investor attention and Portuguese stock market volatility: We’ll google it for you!," EcoMod2016 9345, EcoMod.
    29. Gianna Figà-Talamanca & Marco Patacca, 2020. "Disentangling the relationship between Bitcoin and market attention measures," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 71-91, March.
    30. Shuyu Zhang & Dunli Zhang & Jianming Zheng & Walter Aerts & Dandan Xu, 2023. "Plus Token and investor searching behaviour – A cryptocurrency Ponzi scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4713-4728, December.
    31. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
    32. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
    33. Marcelo Bianconi & Xiaxin Hua & Chih Ming Tan, 2013. "Determinants of Systemic Risk and Information Dissemination," Working Paper series 67_13, Rimini Centre for Economic Analysis.
    34. Fang, Jianchun & Gozgor, Giray & Lau, Chi-Keung Marco & Lu, Zhou, 2020. "The impact of Baidu Index sentiment on the volatility of China's stock markets," Finance Research Letters, Elsevier, vol. 32(C).
    35. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
    36. Hamid, Alain & Heiden, Moritz, 2015. "Forecasting volatility with empirical similarity and Google Trends," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 62-81.
    37. Grace Weishi Gu & Zachary R. Stangebye, 2023. "Costly Information And Sovereign Risk," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1397-1429, November.
    38. Thomas Dimpfl & Tobias Langen, 2019. "How Unemployment Affects Bond Prices: A Mixed Frequency Google Nowcasting Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 551-573, August.
    39. Sun, Hang, 2016. "Crisis-Contingent Dynamics of Connectedness: An SVAR-Spatial-Network “Tripod” Model with Thresholds," Research Memorandum 032, Maastricht University, Graduate School of Business and Economics (GSBE).
    40. Christophe Desagre & Catherine D'Hondt, 2020. "Googlization and retail investors' trading activity," LIDAM Discussion Papers LFIN 2020004, Université catholique de Louvain, Louvain Finance (LFIN).
    41. Bonaparte, Yosef & Bernile, Gennaro, 2023. "A new “Wall Street Darling?” effects of regulation sentiment in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 52(C).
    42. Massimo Guidolin & Alexei G. Orlov & Manuela Pedio, 2018. "How good can heuristic-based forecasts be? A comparative performance of econometric and heuristic models for UK and US asset returns," Quantitative Finance, Taylor & Francis Journals, vol. 18(1), pages 139-169, January.
    43. Dionisis Th Philippas & Catalin Dragomirescu-Gaina & Stéphane Goutte & Duc Khuong Nguyen, 2021. "Investors’ attention and information losses under market stress," Post-Print hal-03434918, HAL.
    44. Lyócsa, Štefan & Plíhal, Tomáš, 2022. "Russia’s ruble during the onset of the Russian invasion of Ukraine in early 2022: The role of implied volatility and attention," Finance Research Letters, Elsevier, vol. 48(C).
    45. Massimo Guidolin & Manuela Pedio, 2020. "Media Attention vs. Sentiment as Drivers of Conditional Volatility Predictions: An Application to Brexit," BAFFI CAREFIN Working Papers 20145, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    46. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
    47. Latoeiro, Pedro & Ramos, Sofía B. & Veiga, Helena, 2013. "Predictability of stock market activity using Google search queries," DES - Working Papers. Statistics and Econometrics. WS ws130605, Universidad Carlos III de Madrid. Departamento de Estadística.
    48. Takayuki Morimoto & Yoshinori Kawasaki, 2017. "Forecasting Financial Market Volatility Using a Dynamic Topic Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(3), pages 149-167, September.
    49. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
    50. Shen, Dehua & Li, Xiao & Xue, Mei & Zhang, Wei, 2017. "Does microblogging convey firm-specific information? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 621-626.
    51. Hugh M. J. Colaco & Amedeo De Cesari & Shantaram P. Hegde, 2017. "Retail Investor Attention and IPO Valuation," European Financial Management, European Financial Management Association, vol. 23(4), pages 691-727, September.
    52. Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš & Molnár, Peter, 2020. "Fear of the coronavirus and the stock markets," Finance Research Letters, Elsevier, vol. 36(C).
    53. Semen Son Turan, 2014. "Internet Search Volume and Stock Return Volatility: The Case of Turkish Companies," Information Management and Business Review, AMH International, vol. 6(6), pages 317-328.
    54. Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "Quantifying the cross-correlations between online searches and Bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 657-672.
    55. Behrendt, Simon & Schmidt, Alexander, 2018. "The Twitter myth revisited: Intraday investor sentiment, Twitter activity and individual-level stock return volatility," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 355-367.
    56. Nikkinen, Jussi & Rothovius, Timo, 2019. "The EIA WPSR release, OVX and crude oil internet interest," Energy, Elsevier, vol. 166(C), pages 131-141.
    57. Kelikume, Ikechukwu & Evans, Olaniyi & Iyoha, Faith, 2020. "Efficient Market Hypothesis in the Presence of Market Imperfections: Evidence from Selected Stock Markets in Africa," MPRA Paper 118200, University Library of Munich, Germany.
    58. Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš, 2022. "YOLO trading: Riding with the herd during the GameStop episode," Finance Research Letters, Elsevier, vol. 46(PA).
    59. Joon Chae & Ryumi Kim & Jaehee Han, 2020. "Investor Attention from Internet Search Volume and Underreaction to Earnings Announcements in Korea," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
    60. Glenn Kit Foong Ho & Sirimon Treepongkaruna & Marvin Wee & Chaiyuth Padungsaksawasdi, 2022. "The effect of short selling on volatility and jumps," Australian Journal of Management, Australian School of Business, vol. 47(1), pages 34-52, February.
    61. Bai, Lijuan & Yan, Xiangbin & Yu, Guang, 2019. "Impact of CEO media appearance on corporate performance in social media," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    62. Rashid AMIN & Habib AHMAD, 2013. "Does Investor Attention Matter�S?," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 4(4), pages 111-125, December.
    63. Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media bots and stock markets," European Financial Management, European Financial Management Association, vol. 26(3), pages 753-777, June.
    64. Geng, Yuedan & Ye, Qiang & Jin, Yu & Shi, Wen, 2022. "Crowd wisdom and internet searches: What happens when investors search for stocks?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    65. Xiao, Jihong & Wang, Yudong, 2022. "Good oil volatility, bad oil volatility, and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 953-966.
    66. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
    67. Piñeiro-Chousa, Juan & Šević, Aleksandar & González-López, Isaac, 2023. "Impact of social metrics in decentralized finance," Journal of Business Research, Elsevier, vol. 158(C).
    68. Boone, Tonya & Ganeshan, Ram & Jain, Aditya & Sanders, Nada R., 2019. "Forecasting sales in the supply chain: Consumer analytics in the big data era," International Journal of Forecasting, Elsevier, vol. 35(1), pages 170-180.
    69. Lyócsa, Štefan & Halousková, Martina & Haugom, Erik, 2023. "The US banking crisis in 2023: Intraday attention and price variation of banks at risk," Finance Research Letters, Elsevier, vol. 57(C).
    70. Liu, Jian-Guo & Yang, Zhen-Hua & Li, Sheng-Nan & Yu, Chang-Rui, 2018. "A generative model for the collective attention of the Chinese stock market investors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1175-1182.
    71. Bleher, Johannes & Dimpfl, Thomas, 2022. "Knitting Multi-Annual High-Frequency Google Trends to Predict Inflation and Consumption," Econometrics and Statistics, Elsevier, vol. 24(C), pages 1-26.
    72. Kou, Yi & Ye, Qiang & Zhao, Feng & Wang, Xiaolin, 2018. "Effects of investor attention on commodity futures markets," Finance Research Letters, Elsevier, vol. 25(C), pages 190-195.
    73. Lee, Chien-Chiang & Chen, Mei-Ping, 2021. "The effects of investor attention and policy uncertainties on cross-border country exchange-traded fund returns," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 830-852.
    74. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    75. Koch, Sophia & Dimpfl, Thomas, 2023. "Attention and retail investor herding in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 51(C).
    76. Basistha, Arabinda & Kurov, Alexander & Wolfe, Marketa Halova, 2019. "Volatility Forecasting: The Role of Internet Search Activity and Implied Volatility," MPRA Paper 111037, University Library of Munich, Germany.
    77. Zhang, Tonghui & Yuan, Ying & Wu, Xi, 2020. "Is microblogging data reflected in stock market volatility? Evidence from Sina Weibo," Finance Research Letters, Elsevier, vol. 32(C).
    78. Arjun R & Suprabha KR, 2018. "Predictive modeling of stock indices closing from web search trends," Papers 1804.01676, arXiv.org.
    79. Shen, Dehua & Liu, Lanbiao & Zhang, Yongjie, 2018. "Quantifying the cross-sectional relationship between online sentiment and the skewness of stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 928-934.
    80. Ung, Sze Nie & Gebka, Bartosz & Anderson, Robert D.J., 2023. "Is sentiment the solution to the risk–return puzzle? A (cautionary) note," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    81. Imene Ben El Hadj Said & Skander Slim, 2022. "The Dynamic Relationship between Investor Attention and Stock Market Volatility: International Evidence," JRFM, MDPI, vol. 15(2), pages 1-25, February.
    82. Baur, Dirk G. & Dimpfl, Thomas, 2016. "Googling gold and mining bad news," Resources Policy, Elsevier, vol. 50(C), pages 306-311.
    83. Campos, I. & Cortazar, G. & Reyes, T., 2017. "Modeling and predicting oil VIX: Internet search volume versus traditional mariables," Energy Economics, Elsevier, vol. 66(C), pages 194-204.
    84. Byström, Hans, 2016. "Language, news and volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 139-154.
    85. Michael Graham & Jussi Nikkinen & Jarkko Peltomäki, 2020. "Web-Based Investor Fear Gauge and Stock Market Volatility: An Emerging Market Perspective," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(2), pages 127-153, August.
    86. Behrendt, Simon & Peter, Franziska J. & Zimmermann, David J., 2020. "An encyclopedia for stock markets? Wikipedia searches and stock returns," International Review of Financial Analysis, Elsevier, vol. 72(C).
    87. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    88. Chen, Xi & Shangguan, Wuyue & Liu, Yanchu & Wang, Shichao, 2021. "Can network structure predict cross-sectional stock returns? Evidence from co-attention networks in China," Finance Research Letters, Elsevier, vol. 38(C).
    89. Aharon, David Y. & Qadan, Mahmoud, 2018. "What drives the demand for information in the commodity market?," Resources Policy, Elsevier, vol. 59(C), pages 532-543.
    90. Wei Zhang & Kai Yan & Dehua Shen, 2021. "Can the Baidu Index predict realized volatility in the Chinese stock market?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
    91. Thomas Dimpfl & Vladislav Kleiman, 2019. "Investor Pessimism and the German Stock Market: Exploring Google Search Queries," German Economic Review, Verein für Socialpolitik, vol. 20(1), pages 1-28, February.
    92. Xiong, Xiong & Meng, Yongqiang & Joseph, Nathan Lael & Shen, Dehua, 2020. "Stock mispricing, hard-to-value stocks and the influence of internet stock message boards," International Review of Financial Analysis, Elsevier, vol. 72(C).
    93. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    94. Moussa, Faten & Delhoumi, Ezzeddine & Ouda, Olfa Ben, 2017. "Stock return and volatility reactions to information demand and supply," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 54-67.
    95. Chen, Hongtao & Fang, Xiumei & Xiang, Erwei & Ji, Xiaojia & An, Maolin, 2023. "Do online media and investor attention affect corporate environmental information disclosure？Evidence from Chinese listed companies," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 1022-1040.
    96. Li, Sufang & Zhang, Hu & Yuan, Di, 2019. "Investor attention and crude oil prices: Evidence from nonlinear Granger causality tests," Energy Economics, Elsevier, vol. 84(C).
    97. Chen, Zhongdong & Craig, Karen Ann, 2023. "Active attention, retail investor base, and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    98. de Castro, Jessica & Piccoli, Pedro, 2023. "Do online searches actually measure future retail investor trades?," International Review of Financial Analysis, Elsevier, vol. 86(C).
    99. Mariano González-Sánchez & M. Encina Morales de Vega, 2021. "Influence of Bloomberg’s Investor Sentiment Index: Evidence from European Union Financial Sector," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
    100. Raúl Gómez‐Martínez & Carmen Orden‐Cruz & Juan Gabriel Martínez‐Navalón, 2022. "Wikipedia pageviews as investors’ attention indicator for Nasdaq," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 41-49, January.
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  4. Grammig, Joachim G. & Jank, Stephan, 2010. "Creative destruction and asset prices," CFR Working Papers 10-14, University of Cologne, Centre for Financial Research (CFR).

    Cited by:

    1. Jank, Stephan, 2015. "Specialized human capital, unemployment risk, and the value premium," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113214, Verein für Socialpolitik / German Economic Association.
    2. Theissen, Erik & Zimmermann, Lukas, 2020. "Do contented customers make shareholders wealthy? Implications of intangibles for security pricing," CFR Working Papers 20-12, University of Cologne, Centre for Financial Research (CFR).
    3. Daniel Andrei & Bruce I. Carlin, 2017. "Asset Pricing in the Quest for the New El Dorado," NBER Working Papers 23455, National Bureau of Economic Research, Inc.

  5. Jank, Stephan & Wedow, Michael, 2010. "Purchase and redemption decisions of mutual fund investors and the role of fund families," Discussion Paper Series 2: Banking and Financial Studies 2010,03, Deutsche Bundesbank.

    Cited by:

    1. Marco Navone & Giacomo Nocera, 2016. "Unbundling the Expense Ratio: Hidden Distribution Costs in European Mutual Fund Markets," Post-Print hal-01366161, HAL.
    2. Ramiro Losada, 2022. "Periodic public information on investment funds and how it influences investors´ decisions," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    3. Chen, Yihao & Miguel, Antonio F. & Liu, Xiayue, 2021. "Does mutual fund family size matter? International evidence," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
    4. Dötz, Niko & Weth, Mark, 2013. "Cash holdings of German open-end equity funds: Does ownership matter?," Discussion Papers 47/2013, Deutsche Bundesbank.
    5. Sánchez-González, Carlos & Sarto, José Luis & Vicente, Luis, 2017. "The efficiency of mutual fund companies: Evidence from an innovative network SBM approach," Omega, Elsevier, vol. 71(C), pages 114-128.
    6. María Isabel Cambón Murcia & Ramiro Losada, 2013. "Evidence from purchases and redemptions in the Spanish equity fund market," CNMV Working Papers CNMV Working Papers no 56, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    7. Milan Szabo, 2022. "Meeting investor outflows in Czech bond and equity funds: horizontal or vertical?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(4), pages 1123-1151, November.
    8. Ramiro Losada, 2022. "La información pública periódica de los fondos de inversión: como influyen en las decisiones de los inversores," CNMV Documentos de Trabajo CNMV Documentos de Trabaj, CNMV- Comisión Nacional del Mercado de Valores - Departamento de Estudios y Estadísticas.
    9. Ryan, Ellen, 2022. "Are fund managers rewarded for taking cyclical risks?," Working Paper Series 2652, European Central Bank.
    10. Shinozawa, Yoshikatsu & Vivian, Andrew, 2015. "Determinants of money flows into investment trusts in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 138-161.
    11. Nan-Yu Wang & Sen-Sung Chen & Chih-Jen Huang & Cheng-Hsin Yen, 2014. "Purchase and Redemption Decisions of Mutual Fund Investors of Variable Life Insurance-Using Quantile Regression," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 714-725.
    12. Ryan, Ellen, 2022. "Are fund managers rewarded for taking cyclical risks?," ESRB Working Paper Series 134, European Systemic Risk Board.
    13. Mamatzakis, Emmanuel & Xu, Bingrun, 2017. "Does corporate governance matter in fund management company: the case of china," MPRA Paper 76138, University Library of Munich, Germany.
    14. Li, Jie & Zhang, Yongjie & Feng, Xu & An, Yahui, 2019. "Which kind of investor causes comovement?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 1-15.

  6. Jank, Stephan, 2010. "Are there disadvantaged clienteles in mutual funds?," Discussion Paper Series 2: Banking and Financial Studies 2010,11, Deutsche Bundesbank.

    Cited by:

    1. Sebastian Müller & Martin Weber, 2014. "Evaluating the Rating of Stiftung Warentest: How Good Are Mutual Fund Ratings and Can They Be Improved?," European Financial Management, European Financial Management Association, vol. 20(2), pages 207-235, March.

  7. Jank, Stephan & Wedow, Michael, 2008. "Sturm und Drang in money market funds: when money market funds cease to be narrow," Discussion Paper Series 2: Banking and Financial Studies 2008,20, Deutsche Bundesbank.

    Cited by:

    1. Timmermann, Allan & Wermers, Russ, 2014. "Runs on Money Market Funds," CEPR Discussion Papers 9906, C.E.P.R. Discussion Papers.
    2. Bua, Giovanna & Dunne, Peter G. & Sorbo, Jacopo, 2019. "Money Market Funds and Unconventional Monetary Policy," Research Technical Papers 7/RT/19, Central Bank of Ireland.
    3. Jank, Stephan, 2012. "Mutual fund flows, expected returns, and the real economy," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3060-3070.
    4. Witmer, Jonathan, 2016. "Does the buck stop here? A comparison of withdrawals from money market mutual funds with floating and constant share prices," Journal of Banking & Finance, Elsevier, vol. 66(C), pages 126-142.
    5. Mark Egan & Ali Hortaçsu & Gregor Matvos, 2017. "Deposit Competition and Financial Fragility: Evidence from the US Banking Sector," American Economic Review, American Economic Association, vol. 107(1), pages 169-216, January.
    6. Thomas Johann & Stefan Scharnowski & Erik Theissen & Christian Westheide & Lukas Zimmermann, 2019. "Liquidity in the German Stock Market," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 443-473, October.
    7. Lawrence Schmidt & Allan Timmermann & Russ Wermers, 2016. "Runs on Money Market Mutual Funds," American Economic Review, American Economic Association, vol. 106(9), pages 2625-2657, September.
    8. Fecht, Falko & Wedow, Michael, 2014. "The dark and the bright side of liquidity risks: Evidence from open-end real estate funds in Germany," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 376-399.
    9. Bengtsson, Elias, 2013. "Shadow banking and financial stability: European money market funds in the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 579-594.
    10. Capotă, Laura-Dona & Grill, Michael & Molestina Vivar, Luis & Schmitz, Niklas & Weistroffer, Christian, 2022. "Is the EU money market fund regulation fit for purpose? Lessons from the COVID-19 turmoil," Working Paper Series 2737, European Central Bank.
    11. Patrick E. McCabe, 2010. "The cross section of money market fund risks and financial crises," Finance and Economics Discussion Series 2010-51, Board of Governors of the Federal Reserve System (U.S.).
    12. Kim, Hugh Hoikwang, 2020. "Information spillover of bailouts," Journal of Financial Intermediation, Elsevier, vol. 43(C).

Articles

  1. Stephan Jank & Michael Wedow, 2013. "Purchase and redemption decisions of mutual fund investors and the role of fund families," The European Journal of Finance, Taylor & Francis Journals, vol. 19(2), pages 127-144, February.
    See citations under working paper version above.
  2. Jank, Stephan, 2012. "Mutual fund flows, expected returns, and the real economy," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3060-3070.
    See citations under working paper version above.Sorry, no citations of articles recorded.
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