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The effect of the cost of capital CEC on the investing and financing decisions is a matter of considerable interest and importance to the financial studies. However, the impact of CEC on the stock prices is not well established. This research aims to examine whether the CEC has a significant incremental explanation of the changes in the stock prices which the basic traditional accounting variables could not provide.

Applies the adjusted constant dividend‐growth model to measure the CEC and the incremental explanatory power test on a sample of 37 companies listed on NYSE.

The results indicate that there is non‐significant impact of CEC for the full sample, the small size firms, and the manufacturing firms. However, I find an evidence that CEC has a significant impact on the stock prices for both the large‐size firms and the non‐manufacturing firms.

The study was completed at a specific date of measurement which puts some limitations on the generality of its results.

Assesses whether the cost of equity possess incremental explanation to the change in the stock prices beyond the explanation provided by the traditional accounting variables.

PurposeIn 1997, the Securities and Exchange Commission (SEC) issued Financial Reporting Release No. 48. FFR No. 48 requires that companies disclose both qualitative and quantitative market risk information for risks of loss arising from adverse changes in interest rates, foreign currency rates, commodity prices, and equity prices. This research focuses on the required disclosure of market risk related to equity prices which is commonly known as Beta in the capital asset pricing model (CAPM).Design/methodology/approachA sample of 323 companies listed in NYSE was selected to investigate the relationship between the market risk and the accounting measures of risk in order to determine the accounting variables that should be disclosed as a substitute of market risk, if there is no data, for the companies to fulfill the SEC requirements.FindingsBy identifying the accounting measures most closely associated with market Beta, the financial manager may be able to influence the Beta value by changing the company's structure as summarized in the successful accounting – determined risk measures. Such finding may also be used to estimate a company's Beta value in situations where historical stock market price data is limited or not available. An example of this later circumstance occurs in the case of initial public offer (IPO). Market price data may also be limited in acquisition cases, where the acquisition target is a subsidiary of a larger company.Originality/valueThe results of this study address these finance and accounting practice situations.

Although the academic research on the quality of earnings has been improved by presenting different approaches of measurement, there is no agreed‐upon generally accepted approach to measure the earning quality. Aims to present results of an empirical study measuring the quality of earnings on companies listed in NYSE.

Uses a sample of 90 companies listed in the NYSE. The analysis is directed to reach a general assessment of the quality of earnings if there is a complete consistency among the three approaches, and if not, the quality of earnings is questionable and needs further analysis and investigations.

The results show that different approaches of measuring the quality of earning lead to different assessment, and one industry or one company can not be labeled as having low or high quality of earning based on the result of one approach only. The results also suggest that the stakeholders before making any financing, investing decision or taking any corrective action, have to use more than one approach to assess the quality of earnings.

Indicates that financial analysts and governmental agencies dealing with companies should apply more than one measure for the quality of earning in order to have strong evidence about the level of quality before taking any corrective action or making any decision related to those companies.

The objective in the present paper is a better understanding of acidic corrosion inhibition by polypyrazolylborates on iron electrodes. Structural and electronic effects of these compounds are discussed in relation to the inhibiting efficiencies and absorption.

Two polypyrazolylborates, i.e. dihydrobis(1‐pyrazolyl) borate (Bp) and hydrotris(1‐pyrazolyl)borate (Tp) were investigated as corrosion inhibitors for iron in 1 mol/l HCl and in 0.5 mol/l H₂SO₄ using Tafel measurements, linear polarization resistance and electrochemical impedance spectroscopy. Theoretical explanation between molecular parameters of these compounds and inhibitor efficiency (IE) was made using the MNDO SCF‐MO method. Morphological changes of the reacted surfaces were monitored via SEM.

Results obtained show higher inhibition effect of Bp than Tp. Inhibitors are more efficient in HCl than in H₂SO₄. Corrosion current and corrosion rate (CR) decrease with inhibitor concentration, while polarization and charge transfer resistance markedly increase from 10⁻⁴ to 10⁻² mol/l inhibitor concentration range. All impedance data are modeled with an equivalent circuit model. The semicircular shape of Nyquist plots is indicative of a charge transfer process occurring via a parallel resistor and capacitor.

This study provides constructive information relative to corrosion inhibitor behavior of polypyrazolylborates in acids. Using the molecular modeling calculations, the compounds were characterized in terms of their structural properties and inhibition activity. It was noticed how exposure to the inhibitor solution changes the film morphology.

This paper aims to investigate the corrosion inhibition effects of indole-3-carbaldehyde and 2-methylindole on mild steel in 1 M HCl solution.

Indole-3-carbaldehyde and 2-methylindole as corrosion inhibitors of mild steel in 1 M HCl solution were investigated by polarisation and electrochemical impedance spectroscopy (EIS). Adsorption isotherm and mechanism were calculated. Quantum chemical calculations were used to find out a correlation between electronic structure of inhibitors and inhibition efficiency. Changes in the properties of metal surface in HCl solution in the presence of inhibitors were studied by contact angle measurements.

Polarisation results revealed inhibitors could reduce cathodic and anodic reactions rates on metal surface. EIS analysis showed that inhibition efficiency of indoles increases by increasing the inhibitors’ concentration; maximum inhibition efficiency was 95 and 94 per cent in solutions containing 1 mM indole-3-carbaldehyde and 2-methylindole, respectively. Inhibitors’ adsorptions on metal surface were confirmed by analysing the exposed metals’ surface through contact angles measurements. The adsorption of inhibitors was found to follow Langmuir isotherm. Quantum chemical calculations showed that a more positively charged benzene ring in the structure of two indole-based inhibitors would lead to higher adsorption to metal.

This research was carried out to understand the effects of two different functional groups (-C=O, -CH3) with different induction effects on the indole structure and on inhibition efficiency of corrosion inhibitors with the purpose of using these components in industrial application as acid wash solutions to etch and remove rusts from metal surfaces.