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The purpose of this paper is to test and model non-linearities in block price deviations when they are executed outside the bid-ask quotes. The author conducts an empirical analysis on 662,312 transactions that were traded outside the bid-ask quotes in 2014 on the London Stock Exchange.

The tests reject the linearity hypothesis and the paper shows that the exponential smooth transition autoregressive model is capable of capturing the non-linear behaviour of block price misalignments.

The findings imply that when the deviation of block prices from their quoted value is small (large), trading will occur slowly (rapidly) to restore equilibrium, suggesting that trading costs eliminate continuous trading and that the block trade market is efficient.

The purpose of this paper is to re-model block price deviations from the bid-ask quotes. The major contribution is that the paper presents new empirical evidence, which explicitly allows for the possibility that block price misalignments from the bid-ask quotes can be characterized by a non-linear mean reverting process. The author demonstrates that the presence of transaction costs induces non-linear adjustments of block trade prices.

International Accounting Standards Rule 37 (IAS 37) for Contingent Liabilities and Assets were designed to make analysis of exposures facing a corporate entity easier to understand, but the rules may be insufficiently prescriptive making provisions inadequate predictors of potential outlays. The purpose of this research is to redress this problem. We apply financial option theory to objectively mark-to-market the appropriateness of provisions replacing subjective inputs with market derived calculations.

This study applies financial option theory to determine whether provisions are appropriate according to market data. This research supports inferences regarding the probability of a provision being used while evidencing scope for earnings management.

In addition to showing how IAS 37 provisions may be calibrated against market data, from the large sample of UK-listed companies, the proposition that over-provisioning is common and related to share price volatility, is supported, supporting the view that IAS 37 rules may facilitate earnings management.

The financial and reporting community have struggled in interpreting the appropriateness of IAS 37 provisions. Are they too large or too small? What is the probability they will be used? Using option theory and market data, various subjective judgements may now be validated. This research should have tangible value to analysts, auditors, investors and other stakeholders concerned in the accurate valuation of potential liabilities.

Replacing subjective judgement and insufficiently prescriptive guidance, this study shows that financial option theory and share price data may be used to objectively calibrate the size of IAS 37 provisions.

We examine the impact of market frictions in the form of trading costs on investor average holding periods for stocks in the S&P global 1200 index to examine constraints on international portfolio diversification.

We determine whether it is appropriate to pool stocks listed in the USA, Canada, Latin America, Europe, Japan, Asia and Australia into investigations using the same empirical specification. This is very important because the pooled effects may not provide consistent estimates of the average.

We report overwhelming econometric evidence that it is not valid to pool stocks in all the underlying regional equity indices for our investigation, indicating that the effect of frictions varies between markets.

When we pool the stocks within markets, we discover that for companies listed in the USA, Europe, Canada and Australia, market frictions do not significantly influence holding periods and hence are not a barrier to portfolio rebalancing. However, companies listed in Latin America and Asia face market frictions, which are significant in terms of increasing holding periods.

We ascertain that taking into account the properties of stock markets in different geographical locations is vital for understanding the limits on achieving international portfolio diversification.

Unlike prior research, we overcome the problems caused by contemporaneous correlation, endogeneity and joint determination of investor average holding periods and trading costs by employing the Generalized Method of Moments (GMM) system panel estimator. This makes our empirical estimates robust and more reliable than the previous empirical research in this area.

The purpose of this paper is to examine stock market reactions and liquidity effects following the first bank loan announcement of zero-leverage firms.

The authors use an event studies methodology in both a univariate and multivariate framework. The authors also use regression analysis.

Using a sample of 96 zero-leverage firms listed on the FTSE 350 index over the time period of 2000–2015, the authors find evidence of a significant and permanent stock price increase as a result of the initial debt announcement. The loan announcement results in a sustained increase in trading volume and liquidity. This improvement continues to persist once the authors control for stock price and trading volume effects in both the short and long run. Furthermore, the authors examine the spread decomposition around the same period, and discover the adverse selection of the bid–ask spread is significantly related to the initial bank loan announcement.

The results can be attributed to the information cost/liquidity hypothesis, suggesting that investors demand a lower premium for trading stocks with more available information.

This is the first paper to look at multiple industries, more than one loan and information asymmetry effects.

The purpose of this paper is to examine the empirical relationship between trades undertaken by informed agents (managers) and the proxies for informed trades computed by bid-ask spread decomposition models.

An econometric application of spread decomposition models to data from the London Stock Exchange, with an examination of whether the model predictions are co-integrated with actual outcomes.

The authors find overwhelming evidence of non-stationary behaviour between the actual and predicted informed trade prices. The findings suggest that there is a clear need for an alternative to extant spread decomposition models perhaps incorporating findings from behavioural finance.

Given the importance of stock market liquidity and the extensive use of spread decomposition models in predicting informed trades, the authors believe that the research conducted in the paper is an important contribution to the market microstructure literature.

The authors study the effectiveness of the anti-corruption campaign in all of mainland China's provinces in terms of risk and volatility spillovers.

A nonlinear model describes interdependencies and determines how shocks and uncertainty spillovers from the first suspects to the rest of the country are dynamically transmitted.

The authors find that both idiosyncratic and systematic risk increase after the first investigation, suggesting that investors do react to the political shocks induced by the new policy. However, even if the scope of the inquiry expands, as the current policy is almost certain to be maintained, investors do not need to update their beliefs, stock news about their political costs does not matter and shocks cease to spread.

In this paper, the authors contribute to the literature by examining the financial effects of China's anti-corruption campaign and determining whether such a large-scale campaign affects risk. Qian and Wen (2015) and Ke et al. (2016) show that the anticorruption campaign has a negative impact on the consumption of luxury goods. Agarwal et al. (2020) provide evidence that government officials' access to credit decreases following the anti-corruption campaign. According to Zhang (2018), firms are less prone to commit fraud after the anti-corruption campaign. However, Griffin et al. (2018) find little evidence that the anti-corruption campaign reduces corporate corruption. Kim et al. (2018) assess market reaction during the investigation and discover that the anti-corruption examination has a significant positive influence on Chinese financial markets. The authors intend to fill the gap in the literature concerning the campaign's impact on risk and volatility spillovers across the country during the first stage of the campaign.

This paper aims to investigate the empirical relationship between the cost of debt (CoD) and accruals quality (AQ) of European listed firms during the period of 2005 to 2014. Also, it aims to test the impact of the interrelationship between the financial crisis (2008-2009) and AQ on CoD. Finally, we decompose AQ into two components; the innate (InnateAQ) and discretionary components (DiscAQ); and test their relationships with CoD.

To empirically examine the relationship between AQ and CoD, a sample including 15 member states of the EU is constructed. AQ proxy is based on the McNichols (2002) modification of Dechow and Dichev (2002) model. A univariate analysis and a multivariate analysis are conducted to examine the relationship between AQ and CoD after controlling for firm characteristics and institutional variables.

We find a significant negative association between AQ and CoD in a vast proportion of the 15 countries under review. Also, the results indicate that during the crisis period, creditors pay relatively more attention to the quality of accounting information than during the pre-crisis period when they determine CoD of firms. Moreover, we report a link between the magnitude of this relationship and national characteristics and provide evidence of the significant effects of national characteristics and market forces on CoD. Finally, we find that InnateAQ drives the relationship with CoD.

This paper provides up-to-date evidence on the economic consequences of AQ and IFRS in the capital market. The results should, therefore, be of interest to managers, creditors, regulators and standard-setters.

To the best of the authors’ knowledge, this is the first paper to investigate the effects of AQ on CoD for European listed firms. Also, it examines the impact of financial crisis on the association between AQ and CoD.

This paper aims to empirically examine the relationship between stock liquidity and asset pricing, using a new price impact ratio adjusted for free float as the approximation of liquidity. The free-float-adjusted ratio is free from size bias and encapsulates the impact of trading frequency. It is more comprehensive than alternative price impact ratios because it incorporates the shares available to the public for trading.

The authors are using univariate and multivariate econometric methods to test the significance of a newly created price impact ratio. The authors are using secondary data and asset pricing models in their analysis. The authors use a data sample of all US listed companies over the period of 1997–2017.

The authors provide evidence that the free-float-adjusted price impact ratio is superior to all price impact ratios used in the previous academic literature. The authors also discover that their findings are robust to the financial crises between 2007 and 2009.

This is the first comprehensive study on a newly established price impact ratio. The authors show the significance of this ratio and explain why it is superior to all previous price impact ratios, established in prior research.

The purpose of this paper is to test for and model non‐linearities in option price deviations from the Black Scholes (BS) model in FTSE 100 index options over the time period 1997‐2006.

The economic specification and estimation methodology is outlined, the data are discussed, and the empirical results are analysed.

The tests reject the linearity hypothesis and the paper shows that the exponential smooth transition autoregressive model is capable of capturing the non‐linear behaviour of option price misalignments. The paper finds that even though FTSE 100 index options are heavily traded, transaction costs prevent rapid adjustments of option prices from their “optimal” value.

The paper presents new empirical evidence, which explicitly allows for the possibility that option price misalignments from the BS price can be characterised by a non‐linear mean reverting process.

The purpose of this paper is to analyze the determinants affecting the stock prices of telecommunications firms in both developed and developing countries around the world.

The empirical analysis is performed using panel data from 160 countries and 45 companies, covering the time period from 2000 to 2011. To identify the significant factors, company level firm-specific financial and non-financial factors have been analyzed that are expected to bear significant impact on price volatility of telecommunications stock.

The test results reveal that capital expenditure and book value are the most significant factors. Dividends and debt levels only affect prices significantly in specification tests with either time-series or cross-sectional effects, whereas firms’ earnings and numbers of mobile internet subscribers do not contribute to the explanatory power of telecommunication stock price variability.

The study sheds light to the potential investors in evaluating the risk associated with investment in stocks of telecommunications firms and take informed investment decisions.

This is the first study that presents a comprehensive analysis of determinants affecting the stock prices of telecommunications firms in both developed and developing countries around the world.