Search results
1 – 10 of over 58000This study aims to examine the effects of firms’ accounting disclosure policies on stock price synchronicity and stock crash risk, using a sample including 13 emerging markets…
Abstract
Purpose
This study aims to examine the effects of firms’ accounting disclosure policies on stock price synchronicity and stock crash risk, using a sample including 13 emerging markets. Furthermore, this research investigates how these relationships are affected by country-level investor protection and firm-level governance rankings.
Design/methodology/approach
This paper uses accounting disclosure measures constructed based on survey questions by Credit Lyonnais Securities Asia (2001, CLSA). The accounting disclosure measure is used to explain the two dependent variables, stock price synchronicity and stock crash risk. The stock price synchronicity measure is defined as the logistic transformation of R2 following Hutton et al. (2009) and Jin and Myers (2006). R2 is taken from the estimation of an extended market model. The stock crash risk variable is measured as the frequency difference between extremely negative and positive stock return residues following Jin and Myers (2006). These stock return residues are taken from the estimation of an extended market model. Because the CLSA firm-level disclosure data are from 2000, this paper matches other data taken from the same year, for consistency. The final sample includes 204 observations in 13 emerging countries.
Findings
This paper finds that firms’ stocks are less synchronized with the entire market and have less crash risk if firms have superior accounting disclosure policies. These results suggest that the cost to collect firm-specific information may be decreased for investors if firms are more transparent. Thus, these firms’ stocks have more firm-specific information content. These results also suggest that management is less likely to hide some negative information and release such negative information suddenly in the future if firms have higher levels of accounting disclosure. Thus, these firms’ stocks are less likely to crash. In addition, the influences of firms’ accounting disclosure policies on stock price synchronicity and crash risk are more significant for firms with superior country-level investor protection and firm-level governance rankings. These results imply that external investors place more value on accounting disclosure by well-governed firms because firms with superior governance standards are less likely to intentionally disclose misleading information. Thus, these firms’ stocks can incorporate more firm-specific information and have less crash risk.
Originality/value
The current study is the first to show that the effects of accounting disclosure on stock price synchronicity and crash risk are more pronounced for firms with superior country-level investor protection and firm-level governance standards. Thus, this research extends the literature by providing a comprehensive picture of the influences of accounting disclosure on stock markets. In addition, the existing literature (Chen et al., 2006; Durnev et al., 2004) shows that firms with lower stock price synchronicity are associated with higher investment efficiency because managers invest based on the information in stock prices. Obviously, higher stock crash risk is highly related to higher bankruptcy risk for firms. Thus, examining the effects of accounting disclosure on stock price synchronicity and stock crash risk is of obvious importance to policy makers.
Details
Keywords
The purpose of this article is to assess the pricing of stocks that are traded on both a US stock exchange and a non‐US stock exchange to determine whether interaction exists…
Abstract
Purpose
The purpose of this article is to assess the pricing of stocks that are traded on both a US stock exchange and a non‐US stock exchange to determine whether interaction exists between the two exchanges.
Design/methodology/approach
This article identifies extreme price movements of stocks (winners and losers) in the non‐US stock exchanges that also trade as American depository receipts (ADRs) in the US market, and measure the US market response. Also identifies extreme price movements of stocks (winners and losers) in the US stock exchanges that also trade in the non‐US markets, and measure the non‐US market response.
Findings
Finds a significant reversal of winners and losers in the US market, which suggests that the US market attempts to correct the pricing in non‐US markets. Also finds that extreme ADR price movements in the US markets are followed by corrections in the non‐US market.
Research limitations/implications
Market participants appear to monitor unusual stock price movements that just occurred in other markets, and correct for unusual price movements that cannot be rationalized. Such activity in global markets expedites the process by which price discrepancies are corrected. The evidence also suggests that the cost of equity in one market can be influenced by the actions of investors in another market.
Originality/value
This study of non‐US stocks that are cross‐listed in the US in the form of ADRs allows us to examine the interaction of pricing in a stock's local market with pricing in the US market.
Details
Keywords
Tarek Chebbi, Hazem Migdady, Waleed Hmedat and Maha Shehadeh
The price clustering behavior is becoming a core part of the market efficiency theory especially with the development of trading strategies and the occurrence of major and…
Abstract
Purpose
The price clustering behavior is becoming a core part of the market efficiency theory especially with the development of trading strategies and the occurrence of major and unprecedented shocks which have led to severe inquiry regarding asset price dynamics and their distribution. However, research on emerging stock market is scant. The study contributes to the literature on price clustering by investigating an active emerging stock market, the Muscat stock market one of the Arabian Gulf Markets.
Design/methodology/approach
This research adopts the artificial intelligence technique and other statistical estimation procedure in understanding the price clustering patterns in Muscat stock market and their main determinants.
Findings
The findings reveal that stock prices are marked by clustering behavior as commonly highlighted in the previous studies. However, we found strong evidence of price preferences to cluster on numbers closer to zero than to one. We also show that the nature of firm’s activity matters for price clustering behavior. In addition, firms with traded bonds in Oman market experienced a substantial less stock price clustering than other firms. Clustered stock prices are more likely to have higher prices and higher volatility of price. Finally, clustering raised when the market became highly uncertain during the Covid-19 crisis especially for the financial firms.
Originality/value
This study provides novel results on price clustering literature especially for an active emerging market and during the Covid-19 pandemic crisis.
Details
Keywords
Amel Belanès, Abderrazek Ben Maatoug and Mohamed Bilel Triki
The paper investigates the dynamic relationship between oil prices, the USA dollar exchange rate and the Saudi stock market index.
Abstract
Purpose
The paper investigates the dynamic relationship between oil prices, the USA dollar exchange rate and the Saudi stock market index.
Design/methodology/approach
The authors perform a novel dynamic simulated the autoregressive distributed lag (ARDL) on weekly data from 2010 to 2021.
Findings
The authors' work reveals three main results: First, a cointegration relationship exists between oil prices and the Saudi stock market index. Second, the Saudi stock market is strongly affected by fluctuations in oil prices in both the short and long run. Third, the exchange rate of the USA dollar has a slight influence on the movements of the Saudi stock market. The simulations show that the Saudi stock market index has a long-run upward trend after an oil price shock, while the dollar index rises moderately after a similar shock. Moreover, the first months of the COVID-19 pandemic coincided with a significant decline in the Saudi stock market index, particularly the substantial drop in oil prices.
Practical implications
These findings encourage domestic and foreign investors to benefit from an upward trend in oil prices, especially after the opening of the Saudi market to foreign investment. On the other hand, it raises questions about the Saudi economy's dependence on oil as the sole vehicle for output growth. It highlights the urgent need for diversification and productivity growth in the non-oil sector and other renewable natural resources to increase Saudi competitiveness.
Originality/value
The novelty of the research lies in the following. First, the authors apply one of the latest developments in time-series modeling techniques. This dynamic ARDL simulation model provides a worthwhile alternative way to explore dynamic correlations in the short and long run and assess the choc effects. Secondly, the study would enable us to track the impact of the COVID-19 health crisis on the Saudi stock market.
Details
Keywords
Muhammad Tariq Khan, Abdul Rashid, Mushtaq Hussain Khan, Asif Zaman and Shahid Ali
This paper aims to examine the effects of oil price uncertainty on corporate investment of Islamic stocks during the COVID-19 pandemic.
Abstract
Purpose
This paper aims to examine the effects of oil price uncertainty on corporate investment of Islamic stocks during the COVID-19 pandemic.
Design/methodology/approach
The study uses a panel data set that covers 398 listed Islamic stocks from seven major Asia Pacific countries over the period of five years from 2017 to 2021, yielding 1,990 observations. Specifically, this paper investigates the said association by combining the real options theory regarding investment and the panel data-based econometric method that captures the dynamic relationship, the generalized method of moments estimators.
Findings
The findings show that the relationship between the oil price volatility and corporate investment of Islamic stocks is significant and nonlinear in nature, suggesting the presence of both the growth options and the waiting options. Overall, the results reveal that corporate investment of Islamic stocks is hindered during the unprecedented corona crash, when oil price increases at exponential rates.
Practical implications
The findings suggest that considering the information caused by unprecedented events like the COVID-19 pandemic is crucial for investment decisions of Islamic stocks. Therefore, policymakers and regulators should incorporate the impact of oil price uncertainties caused by unprecedented events like the COVID-19 pandemic on firm’s investment expansion and diversification strategies.
Originality/value
To the best of the authors’ knowledge, this paper is the first to examine the relationship between the investment of Islamic stocks and the oil price uncertainty under compound options theory in top Asian oil-importing countries.
Details
Keywords
This research essentially aims to examine the extent to which macroeconomic factors (including interest rate, inflation rate, exchange rate, and GDP growth rate) have a positive…
Abstract
This research essentially aims to examine the extent to which macroeconomic factors (including interest rate, inflation rate, exchange rate, and GDP growth rate) have a positive influence on stock price and the level of significance for that influence. The researchers focused more on real estate and property companies that are listed on the Indonesian Stock Exchange, with consideration for the stock price of real estate and property companies listed on the Indonesia Stock Exchange (IDX) as the most volatile stock during those years (and its market capitalization was the largest during 2012). This study finds that interest rate, inflation rate, exchange rate, and GDP growth rate, as composite variables, have a significant influence on stock price. A partial test revealed that interest rate, inflation rate, and exchange rate have significance on stock price, while GDP growth rate is found to be nonsignificant.
Details
Keywords
Raghbendra Jha and Hari K. Nagarajan
This paper examines market structure and efficiency of price transmittals in the two national stock exchanges of India: The Bombay Stock Exchange and the National Stock Exchange…
Abstract
This paper examines market structure and efficiency of price transmittals in the two national stock exchanges of India: The Bombay Stock Exchange and the National Stock Exchange. Price movements in a large number of important stocks in both markets are considered. The framework used is the Johansen‐Juselius multivariate cointegration technique. It is discovered that price movements within each market are cointegrated. Short‐run ECM analysis shows that no stock in any market is exogenous, thus indicating that there is considerable feedback in short‐run price movements from each stock. Some short‐run price movements are stabilizing. The Bombay Stock Exchange and National Stock Exchange appear to be reasonably efficient markets.
De-Wai Chou, Pi-Hsia Hung and Lin Lin
This study focuses on listed and over-the-counter (OTC) companies in the Taiwan Stock Exchange. It found that an increase in the ownership proportion of institutional investors…
Abstract
This study focuses on listed and over-the-counter (OTC) companies in the Taiwan Stock Exchange. It found that an increase in the ownership proportion of institutional investors (INs), including foreign investors, investment trusts, and dealers can enhance the informativeness of stock prices. The relationship between these factors follows an inverted U-shaped pattern, indicating that excessively high ownership ratios can actually lead to a decrease in the informativeness of stock prices. Additionally, increasing the ownership proportions of foreign investors and investment trusts can reduce the risk of stock price collapse, while dealers show no significant relationship in this regard. This study also reveals that the technical variable of the price deviation rate is an important explanatory factor for post-collapse returns. It is positively correlated with the magnitude of the price decline after a collapse, meaning that stocks with weaker pre-collapse performance experience larger post-collapse declines. When the data during the 2020 pandemic period are excluded, changes in foreign ownership ratios show a significant positive correlation with postcrash returns in both the long and short term. The significant correlation in the short term may be due to a high proportion of foreign ownership. Any reduction in this could put pressure on stock prices, and retail investors may follow suit and sell-off, using foreign investors as a reference. The significant correlation in the long term might be due to foreign investors themselves possibly also trying to avoid the pressure that their own short-term sell-offs could exert on stock prices. The changes in the ownership ratios of investment trusts and dealers indicate that medium and long-term changes have a significant impact on postcrash returns, while the changes in the major players' ownership show no significant correlation. When data from 2020 are included in the analysis, the significance of all INs decreases.
Details
Keywords
Z. Göknur Büyükkara, İsmail Cem Özgüler and Ali Hepsen
The purpose of this study is to explore the intricate relationship between oil prices, house prices in the UK and Norway, and the mediating role of gold and stock prices in both…
Abstract
Purpose
The purpose of this study is to explore the intricate relationship between oil prices, house prices in the UK and Norway, and the mediating role of gold and stock prices in both the short- and long-term, unraveling these complex linkages by employing an empirical approach.
Design/methodology/approach
This study benefits from a comprehensive set of econometric tools, including a multiequation vector autoregressive (VAR) system, Granger causality test, impulse response function, variance decomposition and a single-equation autoregressive distributed lag (ARDL) system. This rigorous approach enables to identify both short- and long-run dynamics to unravel the intricate linkages between Brent oil prices, housing prices, gold prices and stock prices in the UK and Norway over the period from 2005:Q1 to 2022:Q2.
Findings
The findings indicate that rising oil prices negatively impact house prices, whereas the positive influence of stock market performance on housing is more pronounced. A two-way causal relationship exists between stock market indices and house prices, whereas a one-way causal relationship exists from crude oil prices to house prices in both countries. The VAR model reveals that past housing prices, stock market indices in each country and Brent oil prices are the primary determinants of current housing prices. The single-equation ARDL results for housing prices demonstrate the existence of a long-run cointegrating relationship between real estate and stock prices. The variance decomposition analysis indicates that oil prices have a more pronounced impact on housing prices compared with stock prices. The findings reveal that shocks in stock markets have a greater influence on housing market prices than those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices.
Research limitations/implications
This study may have several limitations. First, the model does not include all relevant macroeconomic variables, such as interest rates, unemployment rates and gross domestic product growth. This omission may affect the accuracy of the model’s predictions and lead to inefficiencies in the real estate market. Second, this study does not consider alternative explanations for market inefficiencies, such as behavioral finance factors, information asymmetry or market microstructure effects. Third, the models have limitations in revealing how predictors react to positive and negative shocks. Therefore, the results of this study should be interpreted with caution.
Practical implications
These findings hold significant implications for formulating dynamic policies aimed at stabilizing the housing markets of these two oil-producing nations. The practical implications of this study extend to academics, investors and policymakers, particularly in light of the volatility characterizing both housing and commodity markets. The findings reveal that shocks in stock markets have a more profound impact on housing market prices compared with those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices.
Social implications
These findings could also serve as valuable insights for future research endeavors aimed at constructing models that link real estate market dynamics to macroeconomic indicators.
Originality/value
Using a variety of econometric approaches, this paper presents an innovative empirical analysis of the intricate relationship between euro property prices, stock prices, gold prices and oil prices in the UK and Norway from 2005:Q1 to 2022:Q2. Expanding upon the existing literature on housing market price determinants, this study delves into the role of gold and oil prices, considering their impact on industrial production and overall economic growth. This paper provides valuable policy insights for effectively managing the impact of oil price shocks on the housing market.
Details