scholarly journals Research on the Relationship between Abnormal Audit Fees of Listed Companies and the Risk of Stock Price Crash

2021 ◽  
Vol 235 ◽  
pp. 03022
Author(s):  
Wanchen Zhao
Keyword(s):  
Early Warning ◽  
Stock Prices ◽  
Stock Price ◽  
Large Scale ◽  
Warning Signal ◽  
Audit Fees ◽  
Crash Risk ◽  
Early Warning Mechanism ◽  
The Impact ◽  
The Relationship

The large-scale stock price fluctuations that occur from time to time in the global stock market highlight the important research significance of stock price crash risk. Existing researches have paid little attention to the impact of abnormal audit fees on stock price crash risk. This article explores its relationship with stock prices from this perspective. The relationship between the crash risk and whether the abnormal audit fee can be used as an early warning signal for the company’s stock price crash risk has enriched the related research on the influencing factors of the stock price crash risk and the early warning mechanism.

Does intellectual capital have any influence on stock price crash risk?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Agung Nur Probohudono ◽  
Adelia Dyaning Pratiwi ◽  
Mahameru Rosy Rochmatullah
Keyword(s):  
Intellectual Capital ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Price Volatility ◽  
Crash Risk ◽  
Company Performance ◽  
Content Type ◽  
The Impact

PurposeThis paper explores the influence between intellectual capital (IC) and the risk of stock price crashes by using company performance as an intervening variable.Design/methodology/approachThis study empirically analyzes the impact of the efficiency of IC on stock price crash risk using a sample size of 152 companies listed on the Indonesia Stock Exchange (IDX) during 2018. To test the research hypotheses, regression analysis and path analysis were applied. In addition, the researchers added exploration to several studies to strengthen the results of this study.FindingsThis study’s findings indicate that investors' optimistic (pessimistic) sentiment regarding stock price volatility has obscured aspects of the financial performance of listed companies. This finding implies that investor sentiment has dominated influence on stock price crash risk so that the aspects of IC are obscured.Originality/valueThis research provides new information that IC disclosure in the stock market needs to include knowledge of the volatility of stock prices in order to reveal stock price crash risk.

scholarly journals The relationship between corporate governance and stock prices in the GCC financial markets

2020 ◽  
Vol 17 (2) ◽  
pp. 57-64 ◽  
Author(s):  
Muneer Mohammed Saeed Al Mubarak
Keyword(s):  
Corporate Governance ◽  
Financial Markets ◽  
Stock Prices ◽  
Financial Management ◽  
Stock Price ◽  
Financial Statements ◽  
Management Literature ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

The study investigates the impact of corporate governance characteristics on stock prices in the Gulf Cooperation Council (GCC) financial markets. It covers the financial markets of four (GCC) countries with a sample of 237 firms for the period of 2013-2017. The study was based on the GCC financial markets’ database, financial statements and ancillary notes which include corporate governance, stock prices by Bloomberg and share location. A multi-regression model was used. The independent variables were four corporate governance characteristics and the dependent variable was the stock price, in addition to using a number of control variables. A positive relationship was found between corporate governance and return on stock. The Gulf companies that have increased levels of corporate governance have increased returns to their shares, indicating that these companies are working to reduce the agency’s cost and eliminate the conflict between shareholders and directors. Few studies have focused on the relationship of corporate governance characteristics on stock prices in the GCC financial markets. The existing study contributes to the financial management literature by providing further evidence on such a relationship, especially in emerging countries. It serves as a guide to investors looking for the best investments in reliable companies in the region

Does corporate tax aggressiveness explain future stock price crash? Empirical evidence from France

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Taher Hamza ◽  
Elhem ZAATIR
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Policy Implications ◽  
Crash Risk ◽  
Corporate Tax ◽  
Price Informativeness ◽  
Content Type ◽  
Tax Aggressiveness ◽  
The Impact

Purpose This study aims to examine the impact of corporate tax aggressiveness on future stock price crash. It also tests the corporate tax aggressiveness prediction power of the stock price crash via a long forecast window (two years). Design/methodology/approach The study sample consisted of 1,169 firm-years observations. The multivariate analysis uses three measures of stock price crash risk, as a dependent variable. The key variable is tax aggressiveness lagged by one period (one year) as all independent variables. As a robustness check, this paper uses alternate measures of earning management and a longer forecast window (two years) to predict stock price crash risk. Findings Tax aggressiveness activity is positively related to a firm-specific future stock price crash. Corporate tax aggressiveness predicts stock price crash risk for a long forecast window (two years). The findings are robust to a number of checks and have several policy implications. Practical implications Investors should be cautious about the different risks of corporate tax aggressiveness: stock price crash risk. The important role of firm disclosure which leads to more relevant stock price informativeness. Adopt accounting conservatism behavior. The market perceives a socially irresponsible behavior and may harm the firm reputation. Social implications Incentives for French regulators to reduce the feeling of injustice by SMEs vis-à-vis large international companies that have the possibility of transferring part of their profits to a country different from that where it should be taxed to reduce their tax bases. Originality/value French companies are among the heavily taxed in Europe which makes France a particularly suitable context for studying tax aggressiveness issues. The first in the French context, that document a significant and positive relation between tax aggressiveness and future crash risk. It focuses on the important role of corporate tax planning as a means of withholding bad news and its consequences in inflating stock prices.

scholarly journals Corporate Social Responsibility Disclosure and Stock Price Crash Risk: Evidence from China

2019 ◽  
Vol 11 (2) ◽  
pp. 448 ◽  
Author(s):  
Jingwen Dai ◽  
Chao Lu ◽  
Jipeng Qi
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Voluntary Disclosure ◽  
Information Disclosure ◽  
Stock Price ◽  
Crash Risk ◽  
Significant Difference ◽  
Corporate Social ◽  
The Impact ◽  
The Relationship

We take Chinese A-share listed companies in years 2010–2015 as a sample to examine the relationship between Corporate Social Responsibility (CSR) information disclosure and stock price crash risk using the fixed effect model. The results show that: (1) There is an inverted U-shaped nonlinear relationship between CSR information disclosure and stock price crash risk. That is, as the CSR information disclosure level increases, the CSR information disclosure first aggravates and then reduces the stock price crash risk; (2) under different disclosure motives, there is a significant difference in the impact of CSR information disclosure on stock price crash risk. There is still an inverted U-shaped relationship between mandatory CSR information disclosure and stock price crash risk, but not for the semi-mandatory and voluntary disclosure; (3) the academic independent director has a positive adjustment effect on the relationship between CSR information disclosure and stock price crash risk, while the institutional investor has a negative adjustment effect on the relationship between CSR information disclosure and stock price crash risk. The research is of great significance for promoting the fulfillment of CSR, improving corporate governance and stabilizing the capital market.

Political connections and stock price crash risk

2018 ◽  
Vol 8 (2) ◽  
pp. 140-157 ◽  
Author(s):  
Guoliu Hu ◽  
Yu Wang
Keyword(s):  
Local Governments ◽  
Stock Price ◽  
Political Connections ◽  
Crash Risk ◽  
Corporate Disclosure ◽  
Senior Executives ◽  
Content Type ◽  
The Impact ◽  
First Time ◽  
The Relationship

Purpose The purpose of this paper is to research the impact of firms’ political connections on the stock price crash risk. Design/methodology/approach Empirical methodology is used in this study. Findings Using a large sample of Chinese firms for the period 2008-2013, the authors find that corporate political connections can reduce the stock price crash risk. When managers are still in politics or firms are in high financial transparency of local governments, the relationship between political connections and the stock price crash risk is weakened. In addition, the authors’ research shows that the corporate political connections influence the stock price crash risk by affecting the speed of confirmation of bad news. Research limitations/implications The findings in this study suggest that political connections will affect corporate disclosure. Practical implications These results can help senior executives and investors make better decisions to prevent the stock price crash risk. Originality/value This paper empirically analyzes the impact of different types of political connections on the stock price crash risk for the first time.

Impact of Business Strategy on Stock Price Crash Risk: Role of Overvalued Equity

2018 ◽  
pp. 112-129
Author(s):  
Sana Saleem ◽  
Muhammad Usman ◽  
Muhammad Anwar ul Haq
Keyword(s):  
Stock Prices ◽  
Business Strategy ◽  
Stock Price ◽  
Stock Exchange ◽  
Business Strategies ◽  
Crash Risk ◽  
Innovative Strategies ◽  
The Future ◽  
The Impact

The objective of the current study is to investigate the impact of business strategies on the future crash risk of stock prices by considering the role of overvalued equity. This relationship is checked by taking non-financial firms from Pakistan Stock Exchange from 2008-2016. To evaluate the business strategy, composite strategy score is used which considers the firm's development and research costs to look for new products, sales ratio to determine the firm’s capacity to manufacture the product efficiently, standard deviation of employees, sales growth, marketing expense to sales ratio to locate the firms’ emphasis on marketing, and intensity of assets expenditures to capture the firms’ emphasis on production. Market to book decomposition method is used to calculate the equity overvaluation whereas the negative conditional skewness is used as a measure of crash risk. Random and fixed effect panel regression models are used to estimate the results. The results of the present study indicate that firms pursuing innovative strategies have a higher probability to face crash price risk. Outcomes of the study also confirm that such strategies also increase the likelihood of equity overvaluation which increases the risk of stock price crash in the future. The results of the current study are helpful for the investors in allocating the assets cautiously among companies with diverse strategies.

scholarly journals Building stock market resilience through digital transformation: using Google trends to analyze the impact of COVID-19 pandemic

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Ding Ding ◽  
Chong Guan ◽  
Calvin M. L. Chan ◽  
Wenting Liu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Digital Transformation ◽  
Google Trends ◽  
Building Stock ◽  
Market Sentiment ◽  
Price Performance ◽  
Novel Coronavirus ◽  
The Impact

Abstract As the 2019 novel coronavirus disease (COVID-19) pandemic rages globally, its impact has been felt in the stock markets around the world. Amidst the gloomy economic outlook, certain sectors seem to have survived better than others. This paper aims to investigate the sectors that have performed better even as market sentiment is affected by the pandemic. The daily closing stock prices of a total usable sample of 1,567 firms from 37 sectors are first analyzed using a combination of hierarchical clustering and shape-based distance (SBD) measures. Market sentiment is modeled from Google Trends on the COVID-19 pandemic. This is then analyzed against the time series of daily closing stock prices using augmented vector autoregression (VAR). The empirical results indicate that market sentiment towards the pandemic has significant effects on the stock prices of the sectors. Particularly, the stock price performance across sectors is differentiated by the level of the digital transformation of sectors, with those that are most digitally transformed, showing resilience towards negative market sentiment on the pandemic. This study contributes to the existing literature by incorporating search trends to analyze market sentiment, and by showing that digital transformation moderated the stock market resilience of firms against concern over the COVID-19 outbreak.

scholarly journals Optimal feedback control of stock prices under credit risk dynamics

2021 ◽  
Author(s):  
Jinghai Shao ◽  
Sovan Mitra ◽  
Andreas Karathanasopoulos
Keyword(s):  
Credit Risk ◽  
Stock Prices ◽  
Stock Price ◽  
Global Financial Crisis ◽  
Optimal Feedback Control ◽  
Dynamic Programming Principle ◽  
Price Model ◽  
Managerial Control ◽  
Optimal Feedback ◽  
The Impact

AbstractIn this paper we provide a stock price model that explicitly incorporates credit risk, under a stochastic optimal control system. The stock price model also incorporates the managerial control of credit risk through a control policy in the stochastic system. We provide explicit conditions on the existence of optimal feedback controls for the stock price model with credit risk. We prove the continuity of the value function, and then prove the dynamic programming principle for our system. Finally, we prove the Viscosity Solution of the Hamilton–Jacobi–Bellman equation. This paper is particularly relevant to industry, as the impact of credit risk upon stock prices has been prominent since the commencement of the Global Financial Crisis.

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