Jeffery Jinfan Chang , Huancheng Du , Xiaoran Ni , Yuheng Wang
{"title":"The free dividend fallacy in the Chinese stock market: Evidence from stock pricing behavior around ex-dividend day","authors":"Jeffery Jinfan Chang , Huancheng Du , Xiaoran Ni , Yuheng Wang","doi":"10.1016/j.jempfin.2026.101727","DOIUrl":"10.1016/j.jempfin.2026.101727","url":null,"abstract":"<div><div>We document a unique anomalous pattern in stock prices around the ex-dividend day. Stock prices significantly rise above their fair value prior to the ex-dividend day; this is followed by an excessive ex-dividend day price drop relative to the size of the dividend, leading to a significant and negative market-adjusted return on the ex-dividend day. In an attempt to explain such price anomalies, we examine several major dividend related theories and hypotheses including tax-based clientele effect, self-control theory, investors’ risk aversion theory and free dividend fallacy hypothesis. We find empirical evidence that are in support of the free dividend fallacy hypothesis while the implications of other existing theories fail to match with our empirical data. We conclude that individual investors in the Chinese stock market are likely to suffer the free dividend fallacy which in turn serves as the main driver for the documented stock price anomalies around the ex-dividend day.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"86 ","pages":"Article 101727"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147851652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matteo Bonato , Rangan Gupta , Christian Pierdzioch
{"title":"Do shortages forecast aggregate and sectoral U.S. stock market realized variance? Evidence from a century of data","authors":"Matteo Bonato , Rangan Gupta , Christian Pierdzioch","doi":"10.1016/j.jempfin.2026.101726","DOIUrl":"10.1016/j.jempfin.2026.101726","url":null,"abstract":"<div><div>Recent global economic and political events have made clear that shortages are a key factor driving macroeconomic and financial market developments. Against this backdrop, we studied the forecasting value of shortages for monthly U.S. stock market realized variance (RV) at the aggregate and sectoral level using data spanning the period 1900<span><math><mo>−</mo></math></span>2024 and 1926<span><math><mo>−</mo></math></span>2023 (for most sectors), respectively. To this end, we considered linear and non-linear statistical learning estimators. When we used linear estimators (OLS and shrinkage estimators), we did not find evidence that aggregate and disaggregate shortage indexes have predictive value for subsequent market or sectoral RVs. In contrast, when we used random forests, a nonlinear nonparametric estimator, we detected that aggregate and disaggregate shortage indexes improve forecast accuracy of market and sectoral RVs after controlling for realized moments (realized leverage, realized skewness, realized kurtosis, realized tail risks). We then decomposed RV into a high, medium, and low frequency component and found that the shortages indexes are correlated mainly with the medium and low frequencies of RV. Finally, we found that the predictive value of shortages for RV was larger in the 1980s and 1990s than in later parts of our sample period.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"86 ","pages":"Article 101726"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147732541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Florentina Paraschiv , Markus Schmid , Ranik Raaen Wahlstrøm
{"title":"Bankruptcy prediction of privately held SMEs using feature selection methods","authors":"Florentina Paraschiv , Markus Schmid , Ranik Raaen Wahlstrøm","doi":"10.1016/j.jempfin.2026.101725","DOIUrl":"10.1016/j.jempfin.2026.101725","url":null,"abstract":"<div><div>We test alternative feature selection methods for bankruptcy prediction and illustrate their superiority versus popular models used in the literature. We apply these methods to a comprehensive dataset of more than 1.8 million financial statements covering the entire universe of privately held Norwegian SMEs in 2006–2020. We find that input variables chosen by an embedded least absolute shrinkage and selection operator (LASSO) method yield the best in-sample fit, out-of-sample performance, and stability, robust across different time periods and estimation techniques. In a real-world simulation of a competitive credit market, even small differences in model performance translate into large differences in bank profitability, with LASSO outperforming all alternatives. Finally, contrasting bankruptcy predictors for SMEs with those for larger firms reveals economically meaningful differences consistent with theory: leverage and liquidity dominate for SMEs while profitability matters more for larger firms, reflecting SMEs’ higher refinancing risk and limited access to external financing. Predictors tailored specifically to SMEs yield superior prediction performance and higher bank profitability than those derived from larger firms.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"86 ","pages":"Article 101725"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147743512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Can mutual fund “stars” really pick stocks? New evidence from a wild bootstrap analysis","authors":"Ulrich Hounyo , Jiahao Lin","doi":"10.1016/j.jempfin.2025.101673","DOIUrl":"10.1016/j.jempfin.2025.101673","url":null,"abstract":"<div><div>This paper identifies the issue of “duplicate observations” in existing methods for analyzing mutual fund performance and proposes a solution using a novel wild bootstrap-based approach. Our proposed method preserves various characteristics of mutual fund databases, including entry/exit points for each fund (i.e., missing data) and cross-sectional information. We show that our proposed bootstrap tests have a near-optimal size and exhibit greater power compared to widely used standard bootstrap methods for evaluating mutual fund performance. Additionally, we present a new approach to picking the top-performing mutual funds. Our empirical results indicate that a measurable fraction of funds outperform the market.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"85 ","pages":"Article 101673"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145600329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information salience, investor attention, and stock price crash risk","authors":"Zhenshan Chen , Zhibing Li , Jie Liu , Xiaoyu Liu","doi":"10.1016/j.jempfin.2025.101670","DOIUrl":"10.1016/j.jempfin.2025.101670","url":null,"abstract":"<div><div>We find that investor attention significantly increases stock price crash risk. To identify the causal effect, we employ daily repeated quasi-natural experiments where the difference of investor attention is not driven by stock fundamentals, but rather exogenous price rounding issue. This positive effect is more pronounced among firms with higher daily abnormal Baidu search index and higher abnormal small fund inflows ratio, but is mitigated for firms with more sophisticated investors, state-owned enterprise, and firms with relaxation of short-sale constraints. Additionally, we provide supporting evidence that information asymmetry triggered by noise attention serves as a channel through which investor attention amplifies stock price crash risk. Finally, we provide additional evidence illustrating the generalizability of our findings.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"85 ","pages":"Article 101670"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145787455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global standard and bank liquidity creation: A case study of Basel III liquidity regulation","authors":"Yong Kyu Gam","doi":"10.1016/j.jempfin.2025.101684","DOIUrl":"10.1016/j.jempfin.2025.101684","url":null,"abstract":"<div><div>Can the introduction of a new global standard directly impact the operations of domestically regulated banks before it is enacted through national legislation? This paper explores this question by examining the effects of the Basel III liquidity standard on liquidity creation by U.S. banks. Following the Basel Committee’s endorsement of this standard in December 2010, banks with low liquidity immediately reduced their asset-side liquidity creation by holding more liquid assets. At the same time, these banks increased their liability-side liquidity creation by attracting more deposits through higher deposit interest rates—well before the standard was implemented as domestic regulation in the U.S. These findings provide empirical evidence that enhanced global regulatory cooperation can cause newly established international standards to act as direct and immediate regulatory shocks to domestically regulated financial institutions, even in the absence of national legislation.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"85 ","pages":"Article 101684"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A skew is a skill: Portfolio skewness of mutual fund holdings","authors":"Jo Drienko, Chao Gao, Yifei Liu","doi":"10.1016/j.jempfin.2026.101687","DOIUrl":"10.1016/j.jempfin.2026.101687","url":null,"abstract":"<div><div>The return cross-section of a mutual fund’s portfolio holdings is positively skewed on average. At the fund level, portfolio skewness varies substantially across funds but remains highly persistent over time. We show that actively managed mutual funds with high portfolio skewness outperform funds with low skewness by 2.88% ($7.35 million) on an annualized basis. This association is not driven by past performance of portfolio holdings and becomes stronger amid more investment opportunities in the market. Further stock-level analyses reveal that shares added or tilted to by high skewness funds relative to low skewness funds significantly outperform their counterparts, pointing to stock selection skill as an explanation for both the portfolio skewness and its predictability of fund performance. In addition, funds with higher skewness attract higher inflows.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"85 ","pages":"Article 101687"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deleveraging driven by profitability improvement: Evidence from China’s business tax to value-added tax transition","authors":"Zhenjie Qian , Dan Xi , Jia Xu , Lingrui Zhou","doi":"10.1016/j.jempfin.2025.101685","DOIUrl":"10.1016/j.jempfin.2025.101685","url":null,"abstract":"<div><div>This study examines how tax policy reforms influence corporate capital structure by leveraging China’s business tax to value-added tax (B2V) Reform as a quasi-natural experiment. Using a staggered difference-in-differences design with listed firms’ data from 2009 to 2015, we find that firms affected by the B2V reform reduced leverage by an average of 1.8 percentage points compared to unaffected firms. Profitability gains—primarily from cost reductions made possible by value-added tax’s (VAT’s) deductibility—explain approximately 60% of this deleveraging effect. Heterogeneity analyses reveal that the effect is more pronounced among firms with stronger supply chain bargaining power, underscoring the importance of a firm’s ability to shift tax burdens in shaping financial decisions after the reform. Additional evidence shows declines in both dividend payouts and short-term liabilities during deleveraging, suggesting that the observed profitability improvements were temporary. Overall, these findings provide empirical support for the pecking order theory and underscore the broader capital structure implications of indirect tax reforms.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"85 ","pages":"Article 101685"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Volatility and jumps in the Chinese Yuan using Gumbel distribution during the trade war and COVID-19 pandemic","authors":"Chae-Deug Yi","doi":"10.1016/j.jempfin.2025.101669","DOIUrl":"10.1016/j.jempfin.2025.101669","url":null,"abstract":"<div><div>This study investigates the dynamic structure of intraday volatility and jump behavior in the Chinese yuan and US dollar exchange market by employing a Gumbel-distribution-based threshold derived from extreme value theory. Using five-minute high-frequency data over 2,450 trading days, we construct a daily jump probability index and examine its responsiveness to major economic shocks, including the U.S.–China trade war and the COVID-19 pandemic. Regression and simulation analyses (5,000 replications) show that the Gumbel-based jump metric provides superior explanatory power in detecting large and irregular jumps. The Gumbel distribution offers a clear and theoretically grounded thresholding mechanism, making it particularly effective in identifying episodic volatility clusters during the 2010s. Tests by Lee and Hannig (2010) and Laurent and Shi (2020) also suggest that the Gumbel jump statistic is more appropriate for capturing the frequent and discontinuous jumps in foreign exchange volatility. Furthermore, after filtering for intraday periodicity, the estimated jump probabilities significantly decline, indicating the importance of periodicity adjustment. This study also confirms that jump probabilities were notably higher during the U.S.–China trade war and the COVID-19 pandemic than in the overall sample period. Sensitivity tests on volatility filtering and simulation parameters further demonstrate the robustness of the Gumbel-based jump distribution.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"85 ","pages":"Article 101669"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145682650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luca Vincenzo Ballestra , Enzo D’Innocenzo , Christian Tezza
{"title":"A GARCH model with two volatility components and two driving factors","authors":"Luca Vincenzo Ballestra , Enzo D’Innocenzo , Christian Tezza","doi":"10.1016/j.jempfin.2025.101671","DOIUrl":"10.1016/j.jempfin.2025.101671","url":null,"abstract":"<div><div>We introduce a novel GARCH model that integrates two sources of uncertainty to better capture the rich, multi-component dynamics often observed in the volatility of financial assets. This model provides a quasi closed-form representation of the characteristic function for future log-returns, from which semi-analytical formulas for option pricing can be derived. A theoretical analysis is conducted to establish sufficient conditions for strict stationarity and geometric ergodicity, while also obtaining the continuous-time diffusion limit of the model. Empirical evaluations, conducted both in-sample and out-of-sample using S&P500 time series data, show that our model outperforms widely used single-factor models in predicting returns and option prices. The code for estimating the model, as well as for computing option prices, is made accessible in MATLAB language.<span><span><sup>1</sup></span></span></div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"85 ","pages":"Article 101671"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}