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The purpose of this paper is to investigate the dynamic effect of Tobin's q ratio on price-to-earnings (PE) ratio.

The objective of this study is to investigate the dynamic effect of Tobin's q on PE ratio. To achieve this objective, a vector autoregressive analysis (Equation (1)) is employed to analyze the quarterly data from 1951Q4 to 2012Q4 to determine the generalized impulse response functions and perform the variance decomposition of Tobin's q ratio on PE ratio. The Granger causality Wald test is performed to determine if Tobin's q ratio causes PE ratio and vice versa.

Based on the analysis of the quarterly market-level data from 1951Q4 to 2012Q4, the results show that PE ratio significantly drops immediately following the shock to the change in Tobin's q ratio. The results from the Granger-causality test indicate that Tobin's q ratio change causes PE ratio to drop. There is not a reverse causation from PE ratio to Tobin's q ratio change. The variance decomposition results reveal that Tobin's q ratio change forecasts about 67.53 to 67.78 percent of PE ratio at the two-quarter to eight-quarter horizons.

Up to this point, there is not a single study in the literature investigating the relationship between Tobin's q and PE ratios. Consequently, the current study is set up to investigate the dynamic effect of Tobin's q ratio on PE ratio. A major contribution of this study is to provide empirical evidence of the dynamic effect of Tobin's q ratio on PE ratio.

This paper extends previous research by reexamining the difference in cross‐sectional variability of Japanese and U.S. price‐to‐earnings (PE) ratios. A simple model is developed to decompose the variance of the PE ratio into three components: the variance of the price‐to‐book (PB) ratio, the variance of the book‐to‐earnings (BE) ratio and the covariance of the PB and BE ratios. We analyze the behavior of the cross‐sectional variability of the PE ratio and its components and compare the behavior of these ratios across the U.S. and Japanese markets. We find that the cross‐sectional variability of the PE ratio in the Japanese market is consistently lower than that of the PB ratio and the converse is true for the U.S. market. The cross‐sectional variability of PE ratios in Japan is lower than that in the U.S. and the converse is true for the PB ratio. Our results are inconsistent with those reported by Bildersee et al. and indicate that the main factor causing the differences between the cross‐sectional variability of PE ratios and PB ratios is the high negative covariance of the PB and BE ratios.

Corporate social responsibility (CSR) has several dimensions that are inherently unobservable or measured with errors. Due to measurement errors of CSR proxies, regression analysis seems inappropriate for investigating the relationship between CSR and firm value. Accounting for CSR measurement errors, the purpose of this paper is to use a latent variable analysis to examine whether CSR affects firm value.

This study applies a latent variable model that directly takes into account the measurement errors of CSR proxies. Moreover, the inclusion of firm-fixed effects in the model controls for time-invariant unobservable firm-specific characteristics that may drive both CSR and firm value. CSR is measured by environmental, social, and corporate governance activities.

Based on data of US firms between 2002 and 2014, this study finds conflicting evidence of a direct association between each CSR proxy and firm value. When all CSR proxies are incorporated into a latent variable model, CSR significantly positively impacts firm value. Therefore, CSR strategies based on a single measure of CSR or the equal weighting of CSR measures tend to underestimate the influence of CSR on firm value.

Corporate managers should enhance firm value by simultaneously engaging in environmental, social, and corporate governance activities because there is a synergistic effect with firm value. Furthermore, investors who downplay CSR factors in firm valuation can lead to significant errors in making equity investment choices.

This study presents a novel examination of the price-earnings ratio in the CSR valuation by using the latent variable model with firm-fixed effects.

This paper aims to estimate a statistical model of the country risk determination as represented by the country price earnings ratio (PE) to identify potentially mispriced countries. It uses the gross domestic product (GDP) growth rate and a dummy indicator for market-related events (i.e. financial crises), both approximating the business cycle. The model is used to compare a major Asian country’s (i.e. Japan) risk with Western countries’ risk.

The model used finance variables such as the systemic, non-diversifiable, risk and foreign direct investments to characterize any country risk. A random effects model with panel data estimated the effects of macroeconomic and financial variables on PE. The simultaneity problem was checked using two stage least squares and some lagged independent variables.

The results explained to investors the country risk contributing factors: PE was positively correlated with variables that may increase dividends and market risk premia similar to GDP growth rates and total risk and negatively correlated with variables that increase market risk, namely, nominal risk-free interest rates and financial crises. Japan’s PE seemed to exceed most of the Western countries considered here, implying lower risks, lower interest rates and higher growth in the major Asian country Japan.

This paper focuses on the effectiveness of country risk measures in predicting periods of intense instability, similar to financial crises. This study contributes a model to measure market risk premium, using PE (or inversely, the earnings yield) as a proxy variable. Investors can use this risk measure in picking less risky stocks to include in their portfolio, calling for liberalizing Asian countries’ financial markets to improve their stock market capitalization.

The purpose of this paper is to model the Chinese unique regulation changes with the supply-and-demand analytical framework and structure the relationship between initial public offerings (IPO) underpricing and institutional changes with the comparative static method. A well-functioning stock market is crucial to the transition into a market economy, but the Chinese stock market is somehow twisted with frequent government interventions, particularly the IPO market. Can the underpricing issue be mitigated in the changing institutional settings? Can the market-orientated incremental reform of regulations succeed in the Chinese stock market?

The theoretical analysis confirms that IPO underpricing becomes relatively better with dynamic changes of relaxation of the approval and pricing systems. Collecting and examining the data of newly listed firms from 1993 to 2010, the influence of institutional changes on IPO underpricing with regressions, such as ordinary least square (OLS), bootstrap and two stage least square (2SLS) estimation methods was further empirically examined.

The magnitude of the Chinese IPO underpricing during the past two decades is as high as 181.6 per cent on the average. The sizes of IPO underpricing significantly reduce with an increase in the issuing sizes and the ratios of price-earnings ratios. The dummy variables of government-approved regulations are negatively associated with IPO underpricing. The dummy variables of pricing regulations are positively related to IPO underpricing and the coefficients become smaller with newer regulations. Generally, the magnitude of the Chinese IPO underpricing decreases over time.

This paper enriches the IPO literature by dynamically examining the effect of institutional changes on IPO underpricing in Chinese primary markets. We argue that institutional changes characterized by incremental marketization can help to alleviate extreme IPO underpricing and to promote financial development. The Chinese transition from the planning system to the market system in the IPO market will be a long and strenuous process, but it works.

Introduction: Turkish cement industry, which sustains growth trend between the years 2015 and 2018, is the biggest cement producer of Europe besides the growth success. Production trend in cement industry reversed after the decrease in the value of Turkish Lira and increased inflation in 2018. The data of this industry, which contributes to Turkish economy directly and indirectly, have become one of the leading indicators.

Aim: From this point of view, 17 cement industry firms which are traded in Borsa İstanbul equity market continuously are examined in terms of their Earnings Before Interest, Taxes, Depreciation, and Amortization, Cash Conversion Cycle (CCC), Export Rate Ratio and Gross Sales. These variables are analyzed between the period 2013:Q1 and 2019:Q2.

Method: Independent variables in the models are Industry Production Index (IPI), CBRT Dollar/TL selling rate of exchange, Tangible Asset Ratio, Growth Rate, Financial Leverage Ratio, Current Ratio, Market-to-Book Ratio (MB), Price-to-Earnings Ratio (PE), and Return on Equity (ROE).

Findings: According to panel regression results, Dollar/TL exchange rate is the unique independent variable that affects four dependent variables. While Dollar/TL exchange rate negatively affects Earnings Before Interest and Taxes and Gross Sales, it positively affects CCC and Export Rate. MB ratio positively affects CCC. In contrast, IPI, Tangible Asset Ratio, and Financial Leverage Ratio negatively affect CCC. Export ratio is negatively affected both by IPI and PE ratio. While MB ratio negatively affects Gross Sales ratio, IPI, Tangible Asset Ratio and Growth Rate positively affect it.

The purpose of this paper is to examine the significance of skewness in maximizing the investor utility using the daily data for eight sectors listed on the National Stock Exchange of India.

The analysis is carried out in three different steps. In the first part, the author analyzes the monthly stock returns and the important financial ratios – price-to-book (PB) ratio, price-earnings (PE) ratio and dividend yield (DY). Second, the author tests the sector-wise return predictability using Westerlund and Narayan (2012) flexible generalized least squares estimator. Third, the author compares the mean–variance–skewness (MVS) utility function with the mean–variance (MV) utility function.

The author forecasts the sectoral stock returns using three financial ratios – PB ratio, PE ratio and DY – as predictors. The results indicate that sectoral stock returns are significantly predicted by these financial ratios. The author then formulates trading strategies by including skewness in the utility function and finds that the investor utility is high when the utility function includes skewness as opposed to when the skewness is excluded.

The author extends the MV utility function to the MVS utility function and shows that the Indian stock market is more profitable when the investor uses a MVS utility function which highlights the main contribution to the literature.

Commercial and Islamic banks are important players in the UAE financial market. However, little is known about their financial distress because these financial institutions usually resolve financial distress within their own organisations, which means that outsiders cannot explicitly observe distress. The purpose of the research is therefore to identify the main drivers of financial institutions' financial distress.

The paper estimates a probability distress prediction model using the BankScope Database and the annual reports of UAE financial institutions submitted to UAE Security Exchange Authority. The paper also analyses the impact of macroeconomic information for forecasting financial institutions' financial distress.

The fundamentals of financial institutions in terms of cost income ratio, equity to total assets, total asset growth and ratio of loan loss reserve to gross loans (all these variables with a lag of one year) positively impacted the probability of financial distress in the next year. Recent findings for emerging economies have cast some doubt on the usefulness of macroeconomic information for financial institutions' risk assessment. Similar results are found for UAE financial institutions in predicting the probability of financial distress.

This is the first study to provide empirical evidence on the drivers of financial distress of commercial and Islamic banks in UAE during 2000‐2008, and to examine the extent of the financial distress that can be can be attributed to internal bank‐specific fundamental factors and external factors in the economy.

This study investigates the pricing of new issues in the Indian equity market during the period shortly following the deregulation of the market for new issues. We evaluate the importance of book value and market value estimates in determining issue prices as well as prices on the first day of trading. We also use variables that may reduce uncertainty (age to proxy for awareness of the company) and information asymmetry (the extent of the promoter’s contribution to the new issue) in order to test whether uncertainty and information asymmetry have an impact on pricing of new issues. Results indicate that pricing of new issues appears to be consistent with rational decision‐making. We also examine the extent of underpricing of IPOs in India by calculating the rate of return earned by the subscribers on the first day the shares trade publicly. The first day return is, on average, 72 per cent. We then simulate what this return would have been if the government regulations had still been in place. With government restrictions, the first day’s return would have been 160 per cent. These results are consistent with the expectations that removal of restrictions results in lower returns to subscribers and lower cost of capital for the issuing firm. Finally, we examine whether there are differences in first day returns or other variables for companies that issue shares at a price above the government benchmark and the companies that issues shares at prices below the benchmark. Results indicate that there are no significant differences in first day returns between the two groups of companies. There are, however, significant differences between the two groups with respect to relative size of the issue and the difference between the forecasted and current book value. This indicates that the CCI price might be used as a benchmark, which is, then adjusted upwards or downwards to place greater emphasis on expected performance.