| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A three-factor pricing model for cryptocurrencies |
1 |
2 |
6 |
100 |
1 |
5 |
45 |
342 |
| Aggregate Investor Attention and Bitcoin Return: The Long Short-term Memory Networks Perspective |
0 |
0 |
0 |
6 |
0 |
3 |
20 |
40 |
| An empirical analysis of the Adaptive Market Hypothesis with calendar effects:Evidence from China |
0 |
1 |
3 |
28 |
1 |
4 |
32 |
130 |
| Assessing causal relationships between cryptocurrencies and investor attention: New results from transfer entropy methodology |
0 |
1 |
2 |
12 |
1 |
6 |
34 |
59 |
| Attention allocation and cryptocurrency return co-movement: Evidence from the stock market |
0 |
0 |
2 |
4 |
2 |
2 |
17 |
23 |
| Attention allocation and international stock return comovement: Evidence from the Bitcoin market |
0 |
0 |
0 |
10 |
0 |
1 |
12 |
55 |
| Baidu index and predictability of Chinese stock returns |
0 |
0 |
1 |
13 |
1 |
6 |
25 |
133 |
| Baidu news coverage and its impacts on order imbalance and large-size trade of Chinese stocks |
0 |
0 |
0 |
8 |
0 |
1 |
14 |
53 |
| Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis |
0 |
0 |
1 |
12 |
0 |
2 |
16 |
98 |
| Bitcoin market reactions to large price swings of international stock markets |
0 |
0 |
2 |
9 |
0 |
2 |
17 |
40 |
| Borrower platform choice: The influencing factors on herding |
0 |
0 |
0 |
7 |
0 |
1 |
10 |
41 |
| Can overnight return really serve as a proxy for firm-specific investor sentiment? Cross-country evidence |
0 |
1 |
2 |
17 |
3 |
4 |
12 |
83 |
| Can the Baidu Index predict realized volatility in the Chinese stock market? |
0 |
0 |
1 |
13 |
4 |
9 |
33 |
86 |
| Comparing search-engine and social-media attentions in finance research: Evidence from cryptocurrencies |
1 |
1 |
1 |
20 |
1 |
1 |
21 |
73 |
| Daily happiness and stock returns: Some international evidence |
0 |
0 |
0 |
41 |
0 |
2 |
10 |
146 |
| Daily happiness and stock returns: The case of Chinese company listed in the United States |
0 |
1 |
1 |
18 |
1 |
2 |
8 |
107 |
| Dissecting the idiosyncratic volatility puzzle: A fundamental analysis approach |
0 |
0 |
3 |
12 |
0 |
3 |
26 |
65 |
| Do Chinese internet stock message boards convey firm-specific information? |
0 |
0 |
1 |
25 |
2 |
3 |
10 |
184 |
| Do analyst recommendations matter for rival companies? |
0 |
0 |
0 |
3 |
0 |
2 |
8 |
54 |
| Do online message boards convey cryptocurrency-specific information? |
0 |
0 |
0 |
2 |
0 |
0 |
8 |
21 |
| Does happiness forecast implied volatility? Evidence from nonparametric wave-based Granger causality testing |
0 |
0 |
0 |
6 |
0 |
0 |
11 |
26 |
| Does intraday time-series momentum exist in Chinese stock index futures market? |
0 |
3 |
8 |
39 |
3 |
20 |
57 |
128 |
| Does microblogging convey firm-specific information? Evidence from China |
0 |
0 |
0 |
2 |
0 |
2 |
8 |
37 |
| Does twitter predict Bitcoin? |
0 |
1 |
10 |
106 |
6 |
13 |
110 |
488 |
| ESG rating and stock price crash risk: Evidence from China |
0 |
3 |
17 |
218 |
3 |
10 |
77 |
548 |
| Extreme sentiment and herding: Evidence from the cryptocurrency market |
0 |
0 |
3 |
13 |
1 |
5 |
30 |
60 |
| Firm-specific new media sentiment and price synchronicity |
0 |
0 |
0 |
1 |
0 |
1 |
20 |
25 |
| Forecasting the volatility of Bitcoin: The importance of jumps and structural breaks |
0 |
3 |
5 |
13 |
0 |
9 |
33 |
70 |
| Has microblogging changed stock market behavior? Evidence from China |
0 |
0 |
0 |
16 |
2 |
2 |
9 |
84 |
| Herding towards carbon neutrality: The role of investor attention |
0 |
0 |
1 |
1 |
1 |
3 |
17 |
19 |
| How does economic policy uncertainty affect the bitcoin market? |
0 |
0 |
2 |
30 |
0 |
1 |
21 |
202 |
| Information and Bargaining Power: Evidence from SME Lending in China |
0 |
0 |
0 |
7 |
1 |
2 |
7 |
31 |
| Information demand density matters: Evidence from the post-earnings announcement drift |
0 |
0 |
0 |
6 |
1 |
2 |
16 |
33 |
| Information shocks and investor underreaction: Evidence from the Bitcoin market |
0 |
1 |
2 |
3 |
0 |
1 |
13 |
17 |
| Internet information arrival and volatility of SME PRICE INDEX |
0 |
0 |
0 |
17 |
0 |
1 |
9 |
113 |
| Internet stock message boards and the price–volume relationship: Registered users vs non-registered users |
0 |
0 |
0 |
1 |
0 |
0 |
8 |
16 |
| Investor Attention and the Carbon Emission Markets in China: A Nonparametric Wavelet-Based Causality Test |
1 |
1 |
2 |
6 |
2 |
4 |
18 |
38 |
| Investor Sentiment and the Return Rate of P2P Lending Platform |
0 |
0 |
2 |
17 |
6 |
6 |
19 |
89 |
| Investor Structure and Stock Price Crash Risk in a Continuous Double Auction Market: An Agent-Based Perspective |
0 |
0 |
0 |
26 |
0 |
0 |
14 |
136 |
| Investor attention and GameFi returns: A transfer entropy analysis |
0 |
1 |
1 |
2 |
0 |
8 |
18 |
21 |
| Investor attention and performance of IPO firms: Evidence from online searches |
0 |
0 |
0 |
18 |
0 |
1 |
8 |
92 |
| Investor attention shocks and stock co-movement: Substitution or reinforcement? |
0 |
1 |
3 |
29 |
2 |
3 |
22 |
109 |
| Investor reactions to local and overseas news: Evidence from A‐ and H‐shares in China |
0 |
0 |
0 |
10 |
0 |
1 |
13 |
56 |
| Investor sentiment and stock returns: Evidence from provincial TV audience rating in China |
0 |
0 |
0 |
12 |
0 |
1 |
8 |
141 |
| Investor structure and the price–volume relationship in a continuous double auction market: An agent-based modeling perspective |
0 |
0 |
1 |
12 |
0 |
0 |
4 |
51 |
| Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective |
0 |
0 |
2 |
61 |
0 |
1 |
32 |
204 |
| Machine learning to establish proxies for investor attention: evidence of improved stock-return prediction |
1 |
1 |
2 |
10 |
3 |
3 |
16 |
46 |
| Market Participation Willingness and Investor’s Herding Behavior: Evidence from an Emerging Market |
1 |
1 |
1 |
15 |
2 |
2 |
23 |
74 |
| Market reaction to climate risk report disclosures: The roles of investor attention and sentiment |
2 |
2 |
6 |
17 |
2 |
4 |
31 |
64 |
| Market reaction to internet news: Information diffusion and price pressure |
0 |
0 |
0 |
39 |
2 |
4 |
20 |
172 |
| Media opinion divergence and stock returns: Evidence from China |
0 |
0 |
1 |
6 |
1 |
4 |
22 |
36 |
| Momentum or reversal: Which is the appropriate third factor for cryptocurrencies? |
1 |
4 |
11 |
48 |
3 |
14 |
64 |
145 |
| Multifractal Detrended Cross-Correlation Analysis of the Return-Volume Relationship of Bitcoin Market |
0 |
0 |
0 |
0 |
0 |
1 |
14 |
27 |
| Network interdependency between social media and stock trading activities: Evidence from China |
0 |
0 |
0 |
11 |
0 |
0 |
3 |
61 |
| Not all the news fitting to reprint: Evidence from price-volume relationship |
0 |
0 |
0 |
1 |
0 |
1 |
17 |
23 |
| Open source information, investor attention, and asset pricing |
0 |
0 |
2 |
70 |
1 |
2 |
17 |
296 |
| Quantifying the cross-correlations between online searches and Bitcoin market |
0 |
0 |
1 |
33 |
3 |
6 |
17 |
147 |
| Quantifying the cross-sectional relationship between online sentiment and the skewness of stock returns |
0 |
0 |
0 |
14 |
0 |
1 |
8 |
56 |
| R2 and idiosyncratic volatility: Which captures the firm-specific return variation? |
0 |
0 |
0 |
11 |
1 |
2 |
12 |
112 |
| Return volatility and trading volume of GameFi |
0 |
0 |
1 |
2 |
1 |
2 |
23 |
26 |
| Some stylized facts of the cryptocurrency market |
0 |
1 |
13 |
96 |
1 |
7 |
47 |
242 |
| Special features on behavioral issues in cryptocurrencies |
0 |
0 |
0 |
1 |
2 |
2 |
6 |
19 |
| Spillover effects according to classification of cryptocurrency |
0 |
0 |
1 |
3 |
1 |
4 |
21 |
24 |
| Stay-at-Home Stocks Versus Go-Outside Stocks: The Impacts of COVID-19 on the Chinese Stock Market |
0 |
0 |
0 |
7 |
1 |
1 |
8 |
31 |
| Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis |
0 |
0 |
1 |
9 |
1 |
1 |
13 |
44 |
| Stock mispricing, hard-to-value stocks and the influence of internet stock message boards |
0 |
0 |
1 |
9 |
1 |
2 |
16 |
54 |
| Stylized facts of the carbon emission market in China |
0 |
0 |
0 |
5 |
0 |
0 |
7 |
26 |
| Tail risks, firm characteristics, and stock returns |
0 |
0 |
0 |
9 |
0 |
2 |
21 |
42 |
| The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns |
0 |
0 |
0 |
1 |
2 |
2 |
15 |
27 |
| The High-Volume Return Premium: Does it Really Exist in the Chinese Stock Market? |
0 |
0 |
0 |
7 |
4 |
5 |
10 |
53 |
| The cross-correlations between online sentiment proxies: Evidence from Google Trends and Twitter |
0 |
0 |
0 |
16 |
0 |
1 |
6 |
76 |
| The dynamic cross-correlations between foreign news, local news and stock returns |
0 |
0 |
0 |
4 |
0 |
0 |
10 |
28 |
| The inefficiency of cryptocurrency and its cross-correlation with Dow Jones Industrial Average |
0 |
0 |
3 |
101 |
0 |
4 |
47 |
411 |
| The interaction of financial news between mass media and new media: Evidence from news on Chinese stock market |
0 |
0 |
0 |
10 |
1 |
1 |
10 |
88 |
| The road less travelled: GameFi as a hedge or a safe haven for international indices |
1 |
1 |
1 |
7 |
1 |
2 |
6 |
16 |
| The role of investor attention in predicting stock prices: The long short-term memory networks perspective |
0 |
0 |
3 |
45 |
1 |
2 |
23 |
139 |
| The time-varying correlation between policy uncertainty and stock returns: Evidence from China |
0 |
0 |
1 |
28 |
0 |
1 |
10 |
95 |
| Trading and non-trading period Internet information flow and intraday return volatility |
0 |
0 |
0 |
13 |
0 |
1 |
9 |
62 |
| Trading volume and return volatility of Bitcoin market: evidence for the sequential information arrival hypothesis |
0 |
0 |
1 |
15 |
0 |
2 |
16 |
88 |
| Twitter’s daily happiness sentiment and international stock returns: Evidence from linear and nonlinear causality tests |
0 |
0 |
0 |
15 |
0 |
1 |
9 |
56 |
| US partisan conflict and high-yield exchange rates |
0 |
0 |
0 |
2 |
0 |
1 |
11 |
23 |
| Weibo Attention and Stock Market Performance: Some Empirical Evidence |
0 |
0 |
0 |
1 |
0 |
0 |
13 |
25 |
| When stock price crash risk meets fundamentals |
0 |
1 |
7 |
19 |
0 |
2 |
18 |
44 |
| Total Journal Articles |
9 |
32 |
142 |
1,732 |
80 |
246 |
1,619 |
7,665 |
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