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This paper examines the dynamic determinants of signaling firm’s market value. The underlying assumption is that when a firm changes its capital structure, it actually changes the relative position and the market values of its capital suppliers’ securities holdings. As for the determinants of capital structure, the paper examines a comprehensive number of factors that have been examined or pointed out in the literature. The paper utilizes the properties of partial adjustment model where the desired (or target) level of market value is adjusted according to both of the changes in actual market values and changes in firm’s capital structure. The results indicate that firm’s market value is not affected by neither factors of tradeoff theory nor free cash flow theories of capital structure. If firm’s liquidity position is taken as a source of short‐term financing, the results indicate that factors of pecking order theory do exist. The premises of dividend irrelevancy and information asymmetry do exist with a negative estimate of the dividend payout ratio. The results also indicate that firms’ financial‐agency signaling is affected by eight factors. These factors are (1) debt financing, (2) bankruptcy risk, (3) type of industry, (4) size, (5) financial flexibility, (6) liquidity position, (7) interest rate and (8) transaction costs of borrowing or paying off debt.

This study examines the effects of the accruals vs. cash flow bases on firm’s MB ratio as a proxy for shareholder value. The methodology utilizes the benefits of the ‘partial adjustment model’ where it addresses the extent to which the shareholder value adjusts to a target level. The final results indicate that (a) the accrual basis helps adjust the shareholder value to a target level more than the cash flow basis, (b) the shareholder value is associated with profitability‐related ratios and dividend‐related ratios, (c) in both bases, the shareholders value is positively associated with earnings per share and price‐to‐earnings ratio, (d) the significant effects of firm‐specific controls indicate that the shareholder value is affected by the accounting base in certain industries, certain size, and affected by the time as well. The results of the sensitivity analysis show that the accruals‐based estimates and cash flow estimates are robust and reliable.

This research paper aims at examining the determinants of corporate leverage in Egypt according to the assumptions of three theories of capital structure: tradeoff, pecking order, and free cash flow.

The methodology utilizes the benefits of the partial adjustment autoregressive model to measure the speed of adjusting long‐term and short‐term debts to a target level.

The results indicate that companies use both long‐term and short‐term debt to adjust the leverage with a relative dependence on long‐term debt; the tradeoff‐related determinants of capital structure are taxes, debt/equity ratio and bankruptcy risk; the pecking order‐related determinants of capital structure are growth and profitability; borrowing decisions are not affected by the assumptions of free cash flow. Overall, the explanatory powers of the three regression equations are high and significant which indicate that the model construction is quite indicative.

The paper contributes to the literature in that it shows that the determinants of capital structure conform to those reported by other related studies in emerging markets as well as developed markets which supports the general conclusion that the determinants of capital structure in emerging and developed markets are converging.

The purpose of this paper is to examine firms' strategies to change long‐ and short‐term debt financing in Egypt. It aims to examine a list of capital structure determinants that include the basic assumptions of the three well‐known theories of capital structure: tradeoff, pecking order, and free cash.

The paper utilizes the properties of partial adjustment model for three heterogeneous systematic risk classes: high, medium and low. The sensitivity analysis is carried out using the “extreme bound analysis”.

The results indicate that Egyptian firms adjust short‐ and long‐term debt according to the class of systematic risk; long‐term debt is a source of financing at all classes of systematic risk; firms have obvious tendency to extent short‐ to long‐term one; medium risk firms adjust long‐term debt according to the industry average debt, and depend heavily on long‐term debt financing; firms depend significantly and constantly on the liquidity position to adjust short‐term debt levels; and medium risk firms are relatively affected by the basic assumptions of free cash flow and low‐risk firms are relatively affected by the assumptions of the pecking order theory.

In general, the results provide evidence that the three theories have transitory effect from developed markets to transitional markets. In addition, the firm‐specific variables (industry characteristic, size and time) provide an additional support to the robustness of the results.

Few, if any studies, have been carried out in Egyptian data.

This paper aims to examine the effect of both inflation rate and interest rate on stock prices using quarterly data on non-financial firms listed in DJIA30 and NASDAQ100 for the period 1999-2016. The stock duration model is used to measure the sensitivity in variations in inflation rates and interest rates on stock prices.

The authors use standard statistical tools that include Johansen cointegration test, linearity, normality tests, cointegration regression, Granger causality and vector error correction model.

The results of panel Johansen cointegration analysis show that cointegration exists between the stock prices, the changes in stock prices due to inflation rates and the changes in stock prices due to real interest rates. The results of cointegration regression show that inflation rates are negatively associated with stock prices, the real interest rates and stock prices are positively associated, changes in real interest rates and inflation rates Granger cause significant changes in stock prices, significant speed of adjustment to long run equilibrium between observed stock prices and real interest rates and significant speed of adjustment to long run equilibrium between changes in stock prices due to real interest rates and changes in inflation rates.

This paper contributes to the empirical literature in three ways. The paper examines the effects of inflation and interest rates on stock prices differently from other related studies by separating inflation from real interest rates. The paper examines the causality between stock prices, interest and inflation rates. This paper offers significant updated validity to extended literature that a negative association exists between stock prices and inflation rates. This validity can be considered as an existence a theory of stock prices, inflation rates and interest rates.

Financial inclusion is an approach for mobilizing saving and facilitating investments that help promote economic development and pave the way for sustainable development. This paper aims to examine the impact of world governance indicators (WGIs) on the improvement of financial inclusion across world economies.

This paper uses the global database of financial inclusion indicators (global findex) for the years 2011, 2014 and 2017. The WGIs are used as proxies for the effects of governmental institutional arrangements. Using panel data analysis, a fixed generalized linear model is estimated for four common financial indicators; namely, borrowed from a financial institution, saved at a financial institution, credit card and debit card ownership.

The empirical results reveal that control of corruption, government effectiveness, political stability and voice and accountability are the significant WGIs that influence financial inclusion significantly.

This paper contributes to the literature in two ways. First, this paper offers validating the results previously reported in related studies. Second, this paper offers robust estimates of the effects of the institutional WGIs on the promotion of financial inclusion.

The purpose of this paper is to explore the potential benefits of an optimal vs observed working capital; the latter being measured by cash conversion cycle (CCC). Optimal CCC is defined and measured as the CCC that maximizes sales in the last four quarters. The initial exploratory results show that optimal CCC has been shorter than the observed. In addition, shorter CCC is accompanied by higher return on investment.

The authors use various statistical tools to analyze the differences between determinants of observed and optimal CCC. These statistical tools include Johansen cointegration test, linearity, normality tests, cointegration regression and Granger causality. The authors also use the benefits of discriminant analysis in order to reach a Z-score model that can be used for monitoring the move from an observed to optimal working capital.

The results show that: significant association exists between volatility of sales and CCC; sales volatility and lagged growth of sales carry relatively the highest weights when a firm moves from observed to optimal CCC; shorter CCC is associated significantly with higher profitability; the observed CCC adjusts to an optimal level; as inflation rises causing potential rise in cost of goods sold, firms prefer staying away from optimal levels of working capital; as economic growth slows down, firms stay at the current level of observed working capital; the results are subject to industry and size effects; and the DJIA and NASDAQ listed firms adjust observed CCC to optimal level slowly.

This paper offers three advances in the literature. The first advance is that the paper determines an optimal level of working capital empirically. To the best of the authors’ knowledge up to the date of submission, other related studies did not include an empirical solution to determine optimal working capital. The second advance is that the paper develops an empirical discriminant model that can be used for monitoring firms’ move from an observed to optimal working capital. The third advance is that optimal working capital shows the empirical integration between short-term and long-term investments that results in an improvement to firm’s liquidity and profitability.

The uncertainty that surrounds oil and gas exploration environments call for an examination at different angles. In terms of robustness, the purpose of this paper is to focus on three performance measurements: the amount of exploration investments, the growth rate of exploration investments, and the value at risk (VaR) of exploration investments.

The study utilizes the properties of discriminant analysis for deriving Z-score models that can be used for monitoring firms’ performance. A cointegration analysis is utilized as well in order to examine the level of cointegration between predictors of each performance measure. The sample includes annual data for 41 firms (local and multinational) working in the oil and gas industry in Egypt for the period 2009-2014.

The results show that amount and growth of exploration investment are quite robust performance measures in the oil and gas industry; VaR of exploration investment is sporadic as it firm-specific; and GDP, capital expenditure and operating expenditure are quite relevant for managing and monitoring growth of exploration investments.

The study offers robust evidence that amount and growth of exploration investment are quiet relevant for measuring firm performance in the oil and gas industry.

This chapter offers an empirical examination of the impact of World Governance indicators (WGIs) on stock market development. The understanding is based on the premise of institutional economics that strong institutional governance, in terms of laws and regulations, results in positive developments in financial institutions.

The data which covers the years 1996–2016, include all world countries where a stock market operates. The authors use standard statistical tools that include Johansen co-integration test, linearity, normality tests, and regression analysis, together with discriminant analysis as a robustness check.

The empirical findings show that (a) a negative association exists between Voice and Accountability and stock market development, (b) a positive association exists between each of Political Stability, Government Effectiveness, Regulatory Quality, Rule of Law and Control of Corruption, and stock market development for most World’s regions stock markets, (c) both Voice and Accountability and Political Stability indicators are the major influential indicators for the stock market development across world stock markets.

This chapter offers quantitative evidence about the benefits of strong institutional governance to stock market development. In addition, the chapter offers significant guidelines to policymakers regarding the institutional factors that can be enhanced to promote stock market development.