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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
- 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:
- Trapp, Monika & Wewel, Claudio, 2012. "Transatlantic systemic risk," CFR Working Papers 12-10, University of Cologne, Centre for Financial Research (CFR).
- 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).
- Jank, Stephan, 2012. "Mutual fund flows, expected returns, and the real economy," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3060-3070.
Cited by:
- 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.
- Wagner, Moritz & Lee, John Byong-Tek & Margaritis, Dimitris, 2022.
"Mutual fund flows and seasonalities in stock returns,"
Journal of Banking & Finance, Elsevier, vol. 144(C).
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- Alper Gormus & Saban Nazlioglu & Elif Gormus, 2024. "ESG impact on oil and natural gas financialization through price transmission," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(3), pages 685-707, September.
- 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.
- Sirio Aramonte & Chiara Scotti & Ilknur Zer, 2019. "Measuring the Liquidity Profile of Mutual Funds," Finance and Economics Discussion Series 2019-055, Board of Governors of the Federal Reserve System (U.S.).
- Chia-Lin Chang & Yu-Pei Ke, 2014.
"Testing Price Pressure, Information, Feedback Trading, And Smoothing Effects For Energy Exchange Traded Funds,"
Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-26.
- 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.
- 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.
- 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," Discussion Papers of DIW Berlin 1583, DIW Berlin, German Institute for Economic Research.
- Vassilios Babalos & Guglielmo Maria Caporale & Nicola Spagnolo, 2021. "Equity fund flows and stock market returns in the USA before and after the global financial crisis: a VAR-GARCH-in-mean analysis," Empirical Economics, Springer, vol. 60(2), pages 539-555, February.
- Nagel, Stefan & Yan, Zhen, 2022.
"Inflation Hedging on Main Street? Evidence from Retail TIPS Fund Flows,"
CEPR Discussion Papers
17695, C.E.P.R. Discussion Papers.
- Stefan Nagel & Zhen Yan, 2022. "Inflation Hedging on Main Street? Evidence from Retail TIPS Fund Flows," CESifo Working Paper Series 10118, CESifo.
- Stefan Nagel & Zhen Yan, 2022. "Inflation Hedging on Main Street? Evidence from Retail TIPS Fund Flows," NBER Working Papers 30692, National Bureau of Economic Research, Inc.
- Martin Hodula & Milan Szabo & Josef Bajzik, 2022.
"Retail Fund Flows and Performance: Insights from Supervisory Data,"
Working Papers
2022/10, Czech National Bank.
- Hodula, Martin & Szabo, Milan & Bajzík, Josef, 2024. "Retail fund flows and performance: Insights from supervisory data," Emerging Markets Review, Elsevier, vol. 59(C).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Fricke, Daniel & Jank, Stephan & Wilke, Hannes, 2022. "Who creates and who bears flow externalities in mutual funds?," Discussion Papers 41/2022, Deutsche Bundesbank.
- 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.
- 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.
- 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.
- 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.
- Alsubaiei, Bader Jawid & Calice, Giovanni & Vivian, Andrew, 2024. "How does oil market volatility impact mutual fund performance?," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1601-1621.
- 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.
- 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).
- Jesus Sierra, 2012. "Consumer Interest Rates and Retail Mutual Fund Flows," Staff Working Papers 12-39, Bank of Canada.
- 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.
- 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).
- Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
- Dimpfl, Thomas & Jank, Stephan, 2011. "Can Internet search queries help to predict stock market volatility?," University of Tübingen Working Papers in Business and Economics 18, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
Cited by:
- 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.
- Urquhart, Andrew, 2018. "What causes the attention of Bitcoin?," Economics Letters, Elsevier, vol. 166(C), pages 40-44.
- 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.
- 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.
- 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).
- 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.
- 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).
- 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).
- 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).
- 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).
- 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.
- Yongqiang Meng & Dehua Shen & Xiong Xiong & Jørgen Vitting Andersen, 2020. "A Socio-Finance Model: The Case of Bitcoin," Post-Print halshs-03048777, HAL.
- Yongqiang Meng & Dehua Shen & Xiong Xiong & Jørgen Vitting Andersen, 2020. "A Socio-Finance Model: The Case of Bitcoin," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03048777, HAL.
- 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.
- Kim Karlsson, Hyunjoo & Li, Yushu, 2024. "Investigation of Swedish krona exchange rate volatility by APARCH-Support Vector Regression," Working Papers in Economics and Statistics 10/2024, Linnaeus University, School of Business and Economics, Department of Economics and Statistics.
- 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.
- Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2019. "Volatility persistence and asymmetry under the microscope: the role of information demand for gold and oil," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 180-197, February.
- 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.
- 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.
- Silvia Garc'ia-M'endez & Francisco de Arriba-P'erez & Ana Barros-Vila & Francisco J. Gonz'alez-Casta~no, 2024. "Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning," Papers 2404.01337, arXiv.org.
- Christophe Desagre & Catherine D'Hondt, 2020. "Googlization and retail investors' trading activity," LIDAM Discussion Papers LFIN 2020004, Université catholique de Louvain, Louvain Finance (LFIN).
- Omid Zamani & Thomas Bittmann & Jens‐Peter Loy, 2024. "Does the internet bring food prices closer together? Exploring search engine query data in Iran," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 688-715, June.
- 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.
- Guidolin, Massimo & Pedio, Manuela, 2021. "Media Attention vs. Sentiment as Drivers of Conditional Volatility Predictions: An Application to Brexit," Finance Research Letters, Elsevier, vol. 42(C).
- Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- Marcelo Bianconi & Xiaxin Hua & Chih Ming Tan, 2013.
"Determinants of Systemic Risk and Information Dissemination,"
Discussion Papers Series, Department of Economics, Tufts University
0776, Department of Economics, Tufts University.
- 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.
- Bianconi, Marcelo & Hua, Xiaxin & Tan, Chih Ming, 2015. "Determinants of systemic risk and information dissemination," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 352-368.
- 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).
- 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.
- Ashwin, Julian, 2024. "Financial news media and volatility: Is there more to newspapers than news?," Journal of Financial Markets, Elsevier, vol. 69(C).
- 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.
- 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.
- 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," MPRA Paper 95992, University Library of Munich, Germany.
- 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.
- V. D. Milovidov, 2024. "Investor Sentiment and Stock Market Dynamics: Ways to Forecast Stock Prices," Studies on Russian Economic Development, Springer, vol. 35(4), pages 518-529, August.
- 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.
- Byström, Hans, 2016.
"Language, news and volatility,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 139-154.
- Byström, Hans, 2014. "Language, News and Volatility," Working Papers 2014:41, Lund University, Department of Economics.
- María José Ayala & Nicolás Gonzálvez-Gallego & Rocío Arteaga-Sánchez, 2024. "Google search volume index and investor attention in stock market: a systematic review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
- 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).
- 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.
- 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).
- 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.
- de Castro, Jessica & Piccoli, Pedro, 2023. "Do online searches actually measure future retail investor trades?," International Review of Financial Analysis, Elsevier, vol. 86(C).
- Papadamou, Stephanos & Fassas, Athanasios P. & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2023. "Effects of the first wave of COVID-19 pandemic on implied stock market volatility: International evidence using a google trend measure," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
- 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.
- Aalborg, Halvor Aarhus & Molnár, Peter & de Vries, Jon Erik, 2019. "What can explain the price, volatility and trading volume of Bitcoin?," Finance Research Letters, Elsevier, vol. 29(C), pages 255-265.
- Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš & Molnár, Peter, 2020.
"Fear of the coronavirus and the stock markets,"
EconStor Preprints
219336, ZBW - Leibniz Information Centre for Economics.
- Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš & Molnár, Peter, 2020. "Fear of the coronavirus and the stock markets," Finance Research Letters, Elsevier, vol. 36(C).
- Liu, Yuanyuan & Niu, Zibo & Suleman, Muhammad Tahir & Yin, Libo & Zhang, Hongwei, 2022. "Forecasting the volatility of crude oil futures: The role of oil investor attention and its regime switching characteristics under a high-frequency framework," Energy, Elsevier, vol. 238(PA).
- Hsu, Yu-Lin & Tang, Leilei, 2022. "Effects of investor sentiment and country governance on unexpected conditional volatility during the COVID-19 pandemic: Evidence from global stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Jin, Xiu & Xue, Qiuyang, 2023. "Retail investor attention and stock market behavior in Russia-Ukraine conflict based on Chinese practices: Evidence from transfer entropy causal network," Finance Research Letters, Elsevier, vol. 58(PB).
- Gao, Yang & Wang, Yaojun & Wang, Chao & Liu, Chao, 2018. "Internet attention and information asymmetry: Evidence from Qihoo 360 search data on the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 802-811.
- Oguzhan Cepni, Duc Khuong Nguyen, and Ahmet Sensoy, 2022. "News Media and Attention Spillover across Energy Markets: A Powerful Predictor of Crude Oil Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
- Hailiang Huang & Yanhong Li & Yingying Zhang, 2018. "Investors’ attention and overpricing of IPO: an empirical study on China’s growth enterprise market," Information Systems and e-Business Management, Springer, vol. 16(4), pages 761-774, November.
- Rui Fan & Oleksandr Talavera & Vu Tran, 2018.
"Social media bots and stock markets,"
Working Papers
2018-30, Swansea University, School of Management.
- 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.
- Matija Piv{s}korec & Nino Antulov-Fantulin & Petra Kralj Novak & Igor Mozetiv{c} & Miha Grv{c}ar & Irena Vodenska & Tomislav v{S}muc, 2014. "News Cohesiveness: an Indicator of Systemic Risk in Financial Markets," Papers 1402.3483, arXiv.org.
- Wang, Ping & Han, Wei & Huang, Chengcheng & Duong, Duy, 2022. "Forecasting realised volatility from search volume and overnight sentiment: Evidence from China," Research in International Business and Finance, Elsevier, vol. 62(C).
- Li, Changgui & Liu, Xiaowen & Hou, Zhiping & Li, Yongyi, 2023. "Retail investor attention and equity mispricing: The mediating role of earnings management," Finance Research Letters, Elsevier, vol. 53(C).
- Daniele Ballinari & Simon Behrendt, 2021. "How to gauge investor behavior? A comparison of online investor sentiment measures," Digital Finance, Springer, vol. 3(2), pages 169-204, June.
- Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
- Muradoglu, Gulnur & Peng, Ni & Qin, Huai & Xia, Chunling, 2024. "Investor attention and market reactions to early announcements in mergers and acquisitions," International Review of Financial Analysis, Elsevier, vol. 91(C).
- Dehua Shen & Yongjie Zhang & Xiong Xiong & Wei Zhang, 2017. "Baidu index and predictability of Chinese stock returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-8, December.
- Chen, Rongda & Bao, Weiwei & Jin, Chenglu, 2021. "Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 112-129.
- Amal Aouadi & Mohamed Arouri & Frédéric Teulon, 2015.
"Investor Following And Volatility: A GARCH Approach,"
Post-Print
hal-04516520, HAL.
- Amal Aouadi & Mohamed Arouri & Frédéric Teulon, 2014. "Investor Following and Volatility: A GARCH Approach," Working Papers 2014-286, Department of Research, Ipag Business School.
- Chronopoulos, Dimitris K. & Papadimitriou, Fotios I. & Vlastakis, Nikolaos, 2018. "Information demand and stock return predictability," Journal of International Money and Finance, Elsevier, vol. 80(C), pages 59-74.
- v{S}tefan Ly'ocsa & Tom'av{s} Pl'ihal, 2022. "Russia's Ruble during the onset of the Russian invasion of Ukraine in early 2022: The role of implied volatility and attention," Papers 2205.09179, arXiv.org.
- Hsieh, Shu-Fan & Chan, Chia-Ying & Wang, Ming-Chun, 2020. "Retail investor attention and herding behavior," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 109-132.
- Philippas, Dionisis & Dragomirescu-Gaina, Catalin & Goutte, Stéphane & Nguyen, Duc Khuong, 2021.
"Investors’ attention and information losses under market stress,"
Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1112-1127.
- 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.
- Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021. "Google search volumes and the financial markets during the COVID-19 outbreak," Finance Research Letters, Elsevier, vol. 42(C).
- Cai, Wenwu & Lu, Jing, 2019. "Investors’ financial attention frequency and trading activity," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
- Yuqian Zhang, 2023. "Using Google Trends to track the global interest in International Financial Reporting Standards: Evidence from big data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 87-100, April.
- Lei Ruan, 2018. "Research on Sustainable Development of the Stock Market Based on VIX Index," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
- Aouadi, Amal & Arouri, Mohamed & Teulon, Frédéric, 2013. "Investor attention and stock market activity: Evidence from France," Economic Modelling, Elsevier, vol. 35(C), pages 674-681.
- Keqing Li & Wenxing Lu & Changyong Liang & Binyou Wang, 2019. "Intelligence in Tourism Management: A Hybrid FOA-BP Method on Daily Tourism Demand Forecasting with Web Search Data," Mathematics, MDPI, vol. 7(6), pages 1-14, June.
- Francisco de Arriba-P'erez & Silvia Garc'ia-M'endez & Jos'e A. Regueiro-Janeiro & Francisco J. Gonz'alez-Casta~no, 2024. "Detection of financial opportunities in micro-blogging data with a stacked classification system," Papers 2404.07224, arXiv.org.
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European Financial Management, European Financial Management Association, vol. 22(4), pages 640-666, September.
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"Liquidity in the German Stock Market,"
Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 443-473, October.
- Johann, Thomas & Scharnowski, Stefan & Theissen, Erik & Westheide, Christian & Zimmermann, Lukas, 2019. "Liquidity in the German stock market," CFR Working Papers 19-02, University of Cologne, Centre for Financial Research (CFR).
- 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.
- 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.
- 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.).
Articles
- 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.
- 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.
- Jank, Stephan & Wedow, Michael, 2010. "Purchase and redemption decisions of mutual fund investors and the role of fund families," CFR Working Papers 10-13, University of Cologne, Centre for Financial Research (CFR).
- 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.
- 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).