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Published in: Asia-Pacific Financial Markets 3/2021

09-11-2020 | Original Research

Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis

Authors: Gang Chu, Xiao Li, Dehua Shen, Yongjie Zhang

Published in: Asia-Pacific Financial Markets | Issue 3/2021

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Abstract

The objective of this paper is to examine the possible linkage between the intraday stock price crashes and jumps and public information by using data from the Chinese stock market and Baidu Index. We divided public information into two kinds of information: supply through online media and information demand across inquiries by individual investors. Using a large sample from Chinese listed firms from 2013 to 2019, our evidence clearly indicates that online information supply and demand both have a positive impact on the intraday crashes and jumps; this is, the firm with higher information supply and demand more likely to experience intraday crashes and jumps. The results are robust to an alternative measure of crash risk. Moreover, we further examine whether the market conditions have an impact on the relationship between information flow and intraday crashes and jumps, and find that the marginal effect of information supply on intraday price crashes and jumps is smaller in the bull market phase. Moreover, the bull market phase enhances the effect of information demand on intraday price crashes and jumps.

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Footnotes
1
Our findings below are qualitatively unchanged if we only include the lags but not the leads in the expanded index model.
 
Literature
go back to reference An, H., & Zhang, T. (2013). Stock price synchronicity, crash risk, and institutional investors. Journal of Corporate Finance, 21, 1–15.CrossRef An, H., & Zhang, T. (2013). Stock price synchronicity, crash risk, and institutional investors. Journal of Corporate Finance, 21, 1–15.CrossRef
go back to reference Anas, J., Billio, M., Ferrara, L., & Mazzi, G. L. (2008). A System for dating and detecting turning points in the euro area. Manchester School, 76(5), 549–577.CrossRef Anas, J., Billio, M., Ferrara, L., & Mazzi, G. L. (2008). A System for dating and detecting turning points in the euro area. Manchester School, 76(5), 549–577.CrossRef
go back to reference Andreou, P. C., Antoniou, C., Horton, J., & Louca, C. (2016). Corporate governance and firm-specific stock price crashes. European Financial Management, 22, 916–956.CrossRef Andreou, P. C., Antoniou, C., Horton, J., & Louca, C. (2016). Corporate governance and firm-specific stock price crashes. European Financial Management, 22, 916–956.CrossRef
go back to reference Andreou, P. C., Louca, C., & Petrou, A. P. (2017). CEO age and stock price crash risk. Review of Finance, 21(3), 1287–1325.CrossRef Andreou, P. C., Louca, C., & Petrou, A. P. (2017). CEO age and stock price crash risk. Review of Finance, 21(3), 1287–1325.CrossRef
go back to reference Antweiler, W., & Frank, M. Z. (2004). Is all that talk just noise? The information content of internet stock message boards. Journal of Finance, 59, 1259–1294.CrossRef Antweiler, W., & Frank, M. Z. (2004). Is all that talk just noise? The information content of internet stock message boards. Journal of Finance, 59, 1259–1294.CrossRef
go back to reference Ball, R. (2009). Market and political/regulatory perspectives on the recent accounting scandals. Journal of Accounting Research, 47, 277–323.CrossRef Ball, R. (2009). Market and political/regulatory perspectives on the recent accounting scandals. Journal of Accounting Research, 47, 277–323.CrossRef
go back to reference Bank, M., Larch, M., & Peter, G. (2011). Google search volume and its influence on liquidity and returns of german stocks. Financial Markets and Portfolio Management, 25(3), 239–264.CrossRef Bank, M., Larch, M., & Peter, G. (2011). Google search volume and its influence on liquidity and returns of german stocks. Financial Markets and Portfolio Management, 25(3), 239–264.CrossRef
go back to reference Barber, B. M., & Odean, T. (2001). The internet and the investor. Journal of Economic Perspectives, 15, 41–54.CrossRef Barber, B. M., & Odean, T. (2001). The internet and the investor. Journal of Economic Perspectives, 15, 41–54.CrossRef
go back to reference Barber, B., & Odean, T. (2008). All that glitters: the effect of attention and news on the buying behavior of individual and institutional investors. Review of Financial Studies, 21(2), 785–818.CrossRef Barber, B., & Odean, T. (2008). All that glitters: the effect of attention and news on the buying behavior of individual and institutional investors. Review of Financial Studies, 21(2), 785–818.CrossRef
go back to reference Boudoukh, J., Feldman, R., Kogan, S., Richardson, M., (2013). Which news moves stock prices? a textual analysis. Technical report. National Bureau of Economic Research. Boudoukh, J., Feldman, R., Kogan, S., Richardson, M., (2013). Which news moves stock prices? a textual analysis. Technical report. National Bureau of Economic Research.
go back to reference Brogaard, J., Hendershott, T., & Riordan, R. (2014). High-frequency trading and price discovery. Review of Financial Studies, 27(8), 2267–2306.CrossRef Brogaard, J., Hendershott, T., & Riordan, R. (2014). High-frequency trading and price discovery. Review of Financial Studies, 27(8), 2267–2306.CrossRef
go back to reference Bry, G., Granger, C. W. J., & Boschan, C. (1971). Cyclical Analysis of Time Series: Selected Procedures and Computer Programs. Journal of the Royal Statistical Society Series A (General), 135(2), 284. Bry, G., Granger, C. W. J., & Boschan, C. (1971). Cyclical Analysis of Time Series: Selected Procedures and Computer Programs. Journal of the Royal Statistical Society Series A (General), 135(2), 284.
go back to reference Callen, J. L., & Fang, X. (2013). Institutional investor stability and crash risk: monitoring versus short-termism? Journal of Banking and Finance, 37, 3047–3063.CrossRef Callen, J. L., & Fang, X. (2013). Institutional investor stability and crash risk: monitoring versus short-termism? Journal of Banking and Finance, 37, 3047–3063.CrossRef
go back to reference Callen, J. L., & Fang, X. (2015). Religion and stock price crash risk. Journal of Financial and Quantitative Analysis, 50, 169–195.CrossRef Callen, J. L., & Fang, X. (2015). Religion and stock price crash risk. Journal of Financial and Quantitative Analysis, 50, 169–195.CrossRef
go back to reference Chan, W. S. (2003). Stock price reaction to news and no-news: Drift and reversal after headlines. Journal of Financial Economics, 70(2), 223–260.CrossRef Chan, W. S. (2003). Stock price reaction to news and no-news: Drift and reversal after headlines. Journal of Financial Economics, 70(2), 223–260.CrossRef
go back to reference Chan, Y. C., Chui, A. C. W., & Kwok, C. C. Y. (2001). The impact of salient political and economic news on the trading activity. Pacific-Basin Finance Journal, 9, 195–217.CrossRef Chan, Y. C., Chui, A. C. W., & Kwok, C. C. Y. (2001). The impact of salient political and economic news on the trading activity. Pacific-Basin Finance Journal, 9, 195–217.CrossRef
go back to reference Chang, X., Chen, Y., & Zolotoy, L. (2017). Stock liquidity and stock price crash risk. Journal of Financial and Quantitative Analysis, 52(4), 1605–1637.CrossRef Chang, X., Chen, Y., & Zolotoy, L. (2017). Stock liquidity and stock price crash risk. Journal of Financial and Quantitative Analysis, 52(4), 1605–1637.CrossRef
go back to reference Chen, J., Chan, K. C., Dong, W., & Zhang, F. (2017). Internal control and stock price crash risk: evidence from China. European Accounting Review, 26, 125–152.CrossRef Chen, J., Chan, K. C., Dong, W., & Zhang, F. (2017). Internal control and stock price crash risk: evidence from China. European Accounting Review, 26, 125–152.CrossRef
go back to reference Chen, S.-N. (1982). An examination of risk–return relationship in bull and bear markets using time-varying betas. Journal of Financial and Quantitative Analysis, 17, 265–286.CrossRef Chen, S.-N. (1982). An examination of risk–return relationship in bull and bear markets using time-varying betas. Journal of Financial and Quantitative Analysis, 17, 265–286.CrossRef
go back to reference ChenHongStein, J. H. J. C. (2001). Forecasting crashes, trading volume, past returns, and conditional skewness in stock prices. Journal of Financial Economics, 61, 345–381.CrossRef ChenHongStein, J. H. J. C. (2001). Forecasting crashes, trading volume, past returns, and conditional skewness in stock prices. Journal of Financial Economics, 61, 345–381.CrossRef
go back to reference Chronopoulos, D. K., Papadimitriou, F. I., & Vlastakis, N. (2018). Information demand and stock return predictability. Journal of International Money and Finance, 80, 59–74.CrossRef Chronopoulos, D. K., Papadimitriou, F. I., & Vlastakis, N. (2018). Information demand and stock return predictability. Journal of International Money and Finance, 80, 59–74.CrossRef
go back to reference Chu, X., Gu, Z., & Zhou, H. (2019). Intraday momentum and reversal in Chinese stock market. Finance Research Letter., 30, 83–88.CrossRef Chu, X., Gu, Z., & Zhou, H. (2019). Intraday momentum and reversal in Chinese stock market. Finance Research Letter., 30, 83–88.CrossRef
go back to reference Clark, P. K. (1973). A subordinated stochastic process model with finite variance for speculative prices. Econometrica, 41, 135–155.CrossRef Clark, P. K. (1973). A subordinated stochastic process model with finite variance for speculative prices. Econometrica, 41, 135–155.CrossRef
go back to reference Cui, B., & Gozluklu, A. E. (2016). Intraday Rallies and crashes: Spillovers of trading halts. International journal of Finance & Economics, 21, 472–501.CrossRef Cui, B., & Gozluklu, A. E. (2016). Intraday Rallies and crashes: Spillovers of trading halts. International journal of Finance & Economics, 21, 472–501.CrossRef
go back to reference Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention. Journal of Finance, 66(5), 1461–1499.CrossRef Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention. Journal of Finance, 66(5), 1461–1499.CrossRef
go back to reference Dimson, E. (1979). Risk measurement when shares are subject to infrequent trading. Journal of Financial Economics, 7, 197–226.CrossRef Dimson, E. (1979). Risk measurement when shares are subject to infrequent trading. Journal of Financial Economics, 7, 197–226.CrossRef
go back to reference Ding, R., & Hou, W. X. (2015). Retail investor attention and stock liquidity. Journal of International Financial Markets Institutions and Money, 37, 12–26.CrossRef Ding, R., & Hou, W. X. (2015). Retail investor attention and stock liquidity. Journal of International Financial Markets Institutions and Money, 37, 12–26.CrossRef
go back to reference Drake, M. S., Roulstone, D. T., & Thornock, J. R. (2012). Investor information demand: Evidence from google searches around earning announcements. Journal of Accounting Research, 50(4), 1001–1040.CrossRef Drake, M. S., Roulstone, D. T., & Thornock, J. R. (2012). Investor information demand: Evidence from google searches around earning announcements. Journal of Accounting Research, 50(4), 1001–1040.CrossRef
go back to reference Dyck, A., Zingales, L., (2003). The media and asset prices, Working paper, HBS and University of Chicago. Dyck, A., Zingales, L., (2003). The media and asset prices, Working paper, HBS and University of Chicago.
go back to reference Elaut, G., Frömmel, M., & Lampaert, K. (2018). Intraday momentum in FX markets: Disentangling informed trading from liquidity provision. Journal of Financial Markets, 37, 35–51.CrossRef Elaut, G., Frömmel, M., & Lampaert, K. (2018). Intraday momentum in FX markets: Disentangling informed trading from liquidity provision. Journal of Financial Markets, 37, 35–51.CrossRef
go back to reference Engelberg, J., Reed, A., & Ringgenberg, M. (2012). How are shorts informed? Short sellers, news, and information processing? Journal of Financial Economics, 105, 260–278.CrossRef Engelberg, J., Reed, A., & Ringgenberg, M. (2012). How are shorts informed? Short sellers, news, and information processing? Journal of Financial Economics, 105, 260–278.CrossRef
go back to reference Fang, L., & Peress, J. (2009). Media coverage and the cross-section of stock returns. The Journal of Finance, 64(5), 2023–2052.CrossRef Fang, L., & Peress, J. (2009). Media coverage and the cross-section of stock returns. The Journal of Finance, 64(5), 2023–2052.CrossRef
go back to reference Gervais, S., Kaniel, R., & Mingelgrin, D. H. (2001). The high-volume return premium. Journal of Finance, 56(3), 877–919.CrossRef Gervais, S., Kaniel, R., & Mingelgrin, D. H. (2001). The high-volume return premium. Journal of Finance, 56(3), 877–919.CrossRef
go back to reference Gordon, S., & St-Amour, P. (2000). A preference regime model of bull and bear markets. American Economic Review, 90, 1019–1033.CrossRef Gordon, S., & St-Amour, P. (2000). A preference regime model of bull and bear markets. American Economic Review, 90, 1019–1033.CrossRef
go back to reference Graham, J. R., Harvey, C. R., & Rajgopal, S. (2005). The economic implications of corporate financial reporting. Journal of Accounting and Economics, 40, 3–73.CrossRef Graham, J. R., Harvey, C. R., & Rajgopal, S. (2005). The economic implications of corporate financial reporting. Journal of Accounting and Economics, 40, 3–73.CrossRef
go back to reference Habib, A., Hasan, M. M., & Jiang, H. (2017). Stock price crash risk: review of the empirical literature. Accounting and Finance, 58, 211–251.CrossRef Habib, A., Hasan, M. M., & Jiang, H. (2017). Stock price crash risk: review of the empirical literature. Accounting and Finance, 58, 211–251.CrossRef
go back to reference Hiroyuki, A. (2013). An analysis of the impact of media coverage on stock price crashes and jumps: Evidence from Japan. Pacific-Basin Finance Journal, 24, 22–38.CrossRef Hiroyuki, A. (2013). An analysis of the impact of media coverage on stock price crashes and jumps: Evidence from Japan. Pacific-Basin Finance Journal, 24, 22–38.CrossRef
go back to reference Hong, H., & Stein, J. C. (2007). Disagreement and the stock return. Journal of Economic Perspective, 21, 109–128.CrossRef Hong, H., & Stein, J. C. (2007). Disagreement and the stock return. Journal of Economic Perspective, 21, 109–128.CrossRef
go back to reference Hu, G. X., Pan, J., & Wang, J. (2017). Early peek advantage? Efficient price discovery with tiered information disclosure. Journal of Financial Economics, 126(2), 399–421.CrossRef Hu, G. X., Pan, J., & Wang, J. (2017). Early peek advantage? Efficient price discovery with tiered information disclosure. Journal of Financial Economics, 126(2), 399–421.CrossRef
go back to reference Hutton, A. P., Marcus, A. J., & Tehranian, H. (2009). Opaque financial reports, R2, and crash risk. Journal of Financial Economics, 94, 67–86.CrossRef Hutton, A. P., Marcus, A. J., & Tehranian, H. (2009). Opaque financial reports, R2, and crash risk. Journal of Financial Economics, 94, 67–86.CrossRef
go back to reference Jin, L., & Myers, S. C. (2004). R2 around the world: New theory and new tests. Journal of Financial Economics, 79(2), 257–292.CrossRef Jin, L., & Myers, S. C. (2004). R2 around the world: New theory and new tests. Journal of Financial Economics, 79(2), 257–292.CrossRef
go back to reference Kim, J. B., Li, Y. H., & Zhang, L. D. (2011). CFOs versus CEOs: Equity incentives and crashes. Journal of Financial Economics, 101, 713–730.CrossRef Kim, J. B., Li, Y. H., & Zhang, L. D. (2011). CFOs versus CEOs: Equity incentives and crashes. Journal of Financial Economics, 101, 713–730.CrossRef
go back to reference Kim, J.-B., Li, Y., & Zhang, L. (2011). Corporate tax avoidance and stock price crash risk: firm-level analysis. Journal of Financial Economics, 100, 639–662.CrossRef Kim, J.-B., Li, Y., & Zhang, L. (2011). Corporate tax avoidance and stock price crash risk: firm-level analysis. Journal of Financial Economics, 100, 639–662.CrossRef
go back to reference Kim, Y., Li, H., & Li, S. (2014). Corporate social responsibility and stock price crash risk. Journal of Banking and Finance, 43, 1–13.CrossRef Kim, Y., Li, H., & Li, S. (2014). Corporate social responsibility and stock price crash risk. Journal of Banking and Finance, 43, 1–13.CrossRef
go back to reference Kirilenko, A., Kyle, A. S., Samadi, M., & Tuzun, T. (2017). The flash crash: High-frequency trading in an electronic market. Journal of Finance, 72(3), 967–998.CrossRef Kirilenko, A., Kyle, A. S., Samadi, M., & Tuzun, T. (2017). The flash crash: High-frequency trading in an electronic market. Journal of Finance, 72(3), 967–998.CrossRef
go back to reference Kothari, S., Shu, S., & Wysocki, P. (2009). Do managers withhold bad news? Journal of Accounting Research, 47, 241–276.CrossRef Kothari, S., Shu, S., & Wysocki, P. (2009). Do managers withhold bad news? Journal of Accounting Research, 47, 241–276.CrossRef
go back to reference Larcker, D. F., Richardson, S. A., & Tuna, I. (2007). Corporate governance, accounting outcomes, and organizational performance. Accounting Review, 82, 963–1008.CrossRef Larcker, D. F., Richardson, S. A., & Tuna, I. (2007). Corporate governance, accounting outcomes, and organizational performance. Accounting Review, 82, 963–1008.CrossRef
go back to reference Latoeiro, P., Ramos, S.B., Veiga, H., (2013). Predictability of stock market activity using google search queries. Working Paper. Universidad Carlos III de Madrid. Latoeiro, P., Ramos, S.B., Veiga, H., (2013). Predictability of stock market activity using google search queries. Working Paper. Universidad Carlos III de Madrid.
go back to reference Lee, W., & Wang, L. (2017). Do political connections affect stock price crash risk? Firm-level evidence from China. Review of Quantitative Finance and Accounting, 48, 643–676.CrossRef Lee, W., & Wang, L. (2017). Do political connections affect stock price crash risk? Firm-level evidence from China. Review of Quantitative Finance and Accounting, 48, 643–676.CrossRef
go back to reference Mazza, P. (2015). Price dynamics and market liquidity: An intraday event study on euronext. Quarterly Review of Economics and Finance, 56, 139–153.CrossRef Mazza, P. (2015). Price dynamics and market liquidity: An intraday event study on euronext. Quarterly Review of Economics and Finance, 56, 139–153.CrossRef
go back to reference Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. Journal of Finance, 42(3), 483–510.CrossRef Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. Journal of Finance, 42(3), 483–510.CrossRef
go back to reference Mitchel, M. L., & Mulherin, J. H. (1994). The impact of public information on the stock market. Journal of Finance, 49, 923–950.CrossRef Mitchel, M. L., & Mulherin, J. H. (1994). The impact of public information on the stock market. Journal of Finance, 49, 923–950.CrossRef
go back to reference Moussa, F., Delhoumi, E., & Ouda, O. B. (2017). Stock return and volatility reactions to information demand and supply. Research in International Business and Finance, 39, 54–67.CrossRef Moussa, F., Delhoumi, E., & Ouda, O. B. (2017). Stock return and volatility reactions to information demand and supply. Research in International Business and Finance, 39, 54–67.CrossRef
go back to reference Peng, L., & Xiong, W. (2006). Investor attention, overconfidence and category learning. Journal of Financial Economics, 80(3), 563–602.CrossRef Peng, L., & Xiong, W. (2006). Investor attention, overconfidence and category learning. Journal of Financial Economics, 80(3), 563–602.CrossRef
go back to reference Raimondo, C. (2019). The Media and the Financial Markets: A review. Asia-Pacific Journal of Financial Studies, 48(2), 155–184.CrossRef Raimondo, C. (2019). The Media and the Financial Markets: A review. Asia-Pacific Journal of Financial Studies, 48(2), 155–184.CrossRef
go back to reference Richardson, M., & Smith, T. (1994). A direct test of the mixture of distributions hypothesis: Measuring the daily flow of information. Journal of Financial and Quantitative Analysis, 29(1), 101–116.CrossRef Richardson, M., & Smith, T. (1994). A direct test of the mixture of distributions hypothesis: Measuring the daily flow of information. Journal of Financial and Quantitative Analysis, 29(1), 101–116.CrossRef
go back to reference Rubin, A., & Rubin, E. (2010). Informed investors and the internet. Journal of Business Finance and Accounting, 37(7–8), 841–865.CrossRef Rubin, A., & Rubin, E. (2010). Informed investors and the internet. Journal of Business Finance and Accounting, 37(7–8), 841–865.CrossRef
go back to reference Schroff, S., Meyer, S., & Burghof, H. P. (2016). Retail investor information demand–speculating and investing in structured products. European Journal of Finance, 22(11), 1063–1085.CrossRef Schroff, S., Meyer, S., & Burghof, H. P. (2016). Retail investor information demand–speculating and investing in structured products. European Journal of Finance, 22(11), 1063–1085.CrossRef
go back to reference Shen, D., Zhang, Y., Xiong, X., & Zhang, W. (2017). Baidu index and predictability of Chinese stock returns. Financial Innovation, 3(4), 1–8. Shen, D., Zhang, Y., Xiong, X., & Zhang, W. (2017). Baidu index and predictability of Chinese stock returns. Financial Innovation, 3(4), 1–8.
go back to reference Song, L., Du, C., & Wu, J. (2016). Bank accounting disclosure, information content in stock prices and stock crash risk: global evidence. Pacific Accounting Review, 28, 260–278.CrossRef Song, L., Du, C., & Wu, J. (2016). Bank accounting disclosure, information content in stock prices and stock crash risk: global evidence. Pacific Accounting Review, 28, 260–278.CrossRef
go back to reference Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. Journal of Finance, 62(3), 1139–1168.CrossRef Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. Journal of Finance, 62(3), 1139–1168.CrossRef
go back to reference Tetlock, P. C. (2010). Does public financial news resolve asymmetric information? Review of Financial Studies, 23(9), 3520–3557.CrossRef Tetlock, P. C. (2010). Does public financial news resolve asymmetric information? Review of Financial Studies, 23(9), 3520–3557.CrossRef
go back to reference Vlastakis, N., & Markellos, R. N. (2012). Information demand and stock market volatility. Journal of Banking and Finance, 36(6), 1808–1821.CrossRef Vlastakis, N., & Markellos, R. N. (2012). Information demand and stock market volatility. Journal of Banking and Finance, 36(6), 1808–1821.CrossRef
go back to reference Wen, F. H., Xu, L., Ouyang, G., & Kou, G. (2019). Retail investor attention and stock price crash risk: Evidence from China. International Review of Financial Analysis, 65, 101376.CrossRef Wen, F. H., Xu, L., Ouyang, G., & Kou, G. (2019). Retail investor attention and stock price crash risk: Evidence from China. International Review of Financial Analysis, 65, 101376.CrossRef
go back to reference Wu, S. J., & Lee, W. M. (2015). Intertemporal risk-return relations in bull and bear markets. International Review of Economics and Finance, 28, 308–325.CrossRef Wu, S. J., & Lee, W. M. (2015). Intertemporal risk-return relations in bull and bear markets. International Review of Economics and Finance, 28, 308–325.CrossRef
go back to reference Xu, N., Chan, K. C., Jiang, X., & Yi, Z. (2013a). Do star analysts know more firm-specific information? Evidence from China. Journal of Banking and Finance, 37, 89–102.CrossRef Xu, N., Chan, K. C., Jiang, X., & Yi, Z. (2013a). Do star analysts know more firm-specific information? Evidence from China. Journal of Banking and Finance, 37, 89–102.CrossRef
go back to reference Xu, N., Jiang, X., Chan, K. C., & Wu, S. (2017). Analyst herding and stock price crash risk: evidence from China. Journal of International Financial Management and Accounting, 28(3), 308–348.CrossRef Xu, N., Jiang, X., Chan, K. C., & Wu, S. (2017). Analyst herding and stock price crash risk: evidence from China. Journal of International Financial Management and Accounting, 28(3), 308–348.CrossRef
go back to reference Xu, N., Jiang, X., Chan, K. C., & Yi, Z. (2013b). Analyst coverage, optimism, and stock price crash risk: evidence from China. Pacific-Basin Finance Journal, 25, 217–239.CrossRef Xu, N., Jiang, X., Chan, K. C., & Yi, Z. (2013b). Analyst coverage, optimism, and stock price crash risk: evidence from China. Pacific-Basin Finance Journal, 25, 217–239.CrossRef
go back to reference Yin, Y., & Tian, R. (2015). Investor sentiment, financial report quality and stock price crash risk: Role of short-sales constraints. Emerging Markets Finance and Trade, 53, 493–510.CrossRef Yin, Y., & Tian, R. (2015). Investor sentiment, financial report quality and stock price crash risk: Role of short-sales constraints. Emerging Markets Finance and Trade, 53, 493–510.CrossRef
go back to reference Zhang, W., Shen, D., Zhang, Y., & Xiong, X. (2013). Open source information, investor attention, and asset pricing. Economic Modelling, 33, 613–619.CrossRef Zhang, W., Shen, D., Zhang, Y., & Xiong, X. (2013). Open source information, investor attention, and asset pricing. Economic Modelling, 33, 613–619.CrossRef
go back to reference Zhang, Y., Ma, F., & Zhu, B. (2019). Intraday momentum and stock return predictability: evidence from China. Economic Modelling., 76, 319–329.CrossRef Zhang, Y., Ma, F., & Zhu, B. (2019). Intraday momentum and stock return predictability: evidence from China. Economic Modelling., 76, 319–329.CrossRef
Metadata
Title
Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis
Authors
Gang Chu
Xiao Li
Dehua Shen
Yongjie Zhang
Publication date
09-11-2020
Publisher
Springer Japan
Published in
Asia-Pacific Financial Markets / Issue 3/2021
Print ISSN: 1387-2834
Electronic ISSN: 1573-6946
DOI
https://doi.org/10.1007/s10690-020-09327-z

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