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Outlines the special characteristics of the Athens stock exchange which may cause misspecification in the simple market model and make Dimson type models more appropriate. Refers to previous research on then and nonsynchronous trading, discusses the methodological issues involved and applies both simple and Dimson type models to 1993‐1997 data for 22 Greek shares. Finds the latter “in many ways more useful” than the simple model, summarizes the main conclusions and suggests that they may be particularly suited to emerging markets in bullish periods.

Drawing upon agency theory, this study aims to assess the value relevance (VR) of accounting information released by non-financial firms listed on the Kuwait stock exchange for the period of 2015-2018. Also, the influence of institutional ownership level and other explanatory variables, namely, book value per share, earnings per share, growth in assets and changes in financial leverage on share prices is examined.

To test the hypotheses, the Ohlson (1995) model is extended. This study uses panel data analysis and applies appropriate statistical techniques to measure empirical relationships.

The results show that the VR of accounting information released by the Kuwaiti non-financial listed firms varies over the period of 2015-2018. Book value and earnings have significant and positive effects on share prices. In recent years, the VR of book value information has been growing, while that of earnings information has been declining. Institutional ownership level has a significant and positive influence on the VR of accounting information released by the Kuwaiti non-financial listed firms. The findings confirm a positive power, signalling growth in assets regarding the share prices. However, no significant relationship between changes in financial leverage and share prices is found.

The findings of the study provide evidence of the linkage between VR and institutional ownership level, which promotes the understanding of the influence of institutional investors on a firm’s market value. Empirical evidence from Kuwait will have international implications and can serve as a guide for accounting researchers studying other emerging markets. Capital market regulators can provide guidelines in the form of information characteristics and elements of financial statements that need improvement. Finally, the findings assist non-financial listed firms to enhance the quality of accounting information by identifying the strengths and weaknesses in their financial reports.

This study extends the previous literature by investigating a relatively new set of data in more depth than that has been examined by prior research, which focusses on the relationship between accounting information and the firm’s market value.

As an increasing number of business organizations around the world are engaged in the value relevance of accounting information, this study aims to assess the field of the accounting value relevance of book value and earnings in share prices of banks and financial institutions listed in the Tunisian stock exchange.

Using a sample of available banks and financial institutions listed in the Tunisian Stock Exchange from 2010 to 2015, this paper accommodates the documented accounting information in an emergent market context by using stock price of three months after year-end as a dependent variable. This study uses the panel regression technique on 24 banks and financial institutions during the study period.

The authors find that earnings and book value are statistically significantly associated with firm value. Also, using these variables together is positively related to the firm stock price share. Comparatively, these obtain evidence that book value is statistically more value-relevant than earning per share models; expectedly, the earnings explain a higher proportion of the stock price for the group of financial institutions than the group of banks.

A Web-based search is performed during the second quarter of 2016, locating the corporate websites of the sample firms, and the official site of the Datastream (worldscope) is identified. The sample period is 2010-2015 (144 firm-year observations).

This paper introduces a novel method, Variance Rule-based Window Size Tracking (VR-WT), for deriving a sequence of estimation window sizes. This approach not only identifies structural change points but also ascertains the optimal size of the estimation window. VR-WT is designed to achieve accurate model estimation and is versatile enough to be applied across a range of models in various disciplines.

This paper proposes a new method named Variance Rule-based Window size Tracking (VR-WT), which derives a sequence of estimation window sizes. The concept of VR-WT is inspired by the Potential Scale Reduction Factor (PSRF), a tool used to evaluate the convergence and stationarity of MCMC.

Monte Carlo simulation study demonstrates that VR-WT accurately detects structural change points and select appropriate window sizes. The VR-WT is essential in applications where accurate estimation of model parameters and inference about their value, sign, and significance are critical. The VR-WT has also helped us understand shifts in parameter-based inference, ensuring stability across periods and highlighting how the timing and impact of market shocks vary across fields and datasets.

The first distinction of the VR-WT lies in its purpose and methodological differences. The VR-WT focuses on precise parameter estimation. By dynamically tracking window sizes, VR-WT selects flexible window sizes and enables the visualization of structural changes. The second distinction of VR-WT lies in its broad applicability and versatility. We conducted empirical applications across three fields of study: CAPM; interdependence analysis between global stock markets; and the study of time-dependent energy prices.

The purpose of this paper is to investigate the interrelationships amongst the sector‐specific indices of the Qatar Exchange (QE) (i.e. Banking and Financial Institutions (BFI), Industrial (IND), Insurance (INS), and Services (SER)). More specifically, three key issues are explored in this study. First, the long‐run relationships amongst the sectors. Second, the short‐run causal relationships amongst them; and third, the relative degree of endogeneity/exogeneity of each sector.

To address the issues of interest, the author employs the econometric analyses of Johansen's multivariate cointegration, Granger's causality, and generalized forecast error variance decomposition. This battery of techniques gives the opportunity to examine the nature of both long‐ and short‐run intersectoral relationships in the QE. To augment the robustness of the empirical analysis, daily as well as weekly closing stock price indices for the four sectors of the Qatar Exchange are used, spanning the period from January 2, 2008 up to April 7, 2011.

Based on daily and weekly data, the results of Johansen's multivariate cointegration analysis suggest that the four sector indices of the QE share a long‐term equilibrium relationship. The Granger's causality analysis based on daily and weekly datasets provides clear evidence that the BFI sector seems to be a significant causal factor in regard to the price predictability of the remaining sectors in the short run, and that the SER sector surprisingly seems to have the least influential role. Finally, the results of the generalized forecast error variance decomposition analysis using daily data show that the IND and BFI appear to be the most exogenous sectors, whereas the SER and INS are the most endogenous ones. The results based on weekly data confirm the relative exogeneity of the BFI sector and the relative endogeneity of the SER sector.

The findings of this study hold practical implications for individual and institutional investors alike. The potential gains derived from cross‐sector diversification could be rather limited, given the significant degree of interrelationships found amongst the sector indices of the QE. Moreover, the composition of domestic portfolios based on sector‐level investments should be revisited, particularly after major events. The findings also bring some important insights for policymakers. Given the influential role played by the BFI sector in the Qatari economy, policymakers should design appropriate strategies that curb the spread of unanticipated shocks originating from this sector to its counterparts. Besides, due to the considerable degree of endogeneity of the SER sector, it is essential for policymakers to set up precautionary regulations, with the aim of minimizing its vulnerability to common shocks in turbulent times.

Building upon the extant research and focusing on a relatively unexplored market, the paper represents a pioneer attempt to provide empirical evidence on the interdependence structure amongst the sector‐specific indices of the Qatar Exchange.

The authors aim to examine the association between earnings and book values with stock prices in India during the IFRS convergence period because, in India, the literature is yet to investigate more about IFRS convergence and its impact on the financial reporting environment. Hence, the purpose of this study is to assess the influence of IFRS conversion on the value relevance of accounting information throughout the IFRS conversion period.

The current paper endeavors to investigate the earnings and book values affiliation with stock prices in India during the IFRS convergence period by employing a price valuation model (Ohlson’s Model). The study assembled a total of 3,440 firm-year observations from the National Stock Exchange in India over five years, which signifies the IFRS conversion period (2015–2019).

The research findings displayed that accounting information such as earnings, book value has value relevance throughout the IFRS enforcement period; however, the value relevance has been increasing for earnings and showing a descending association for book value. The significant explanatory power of earnings reveals that market participants give more weightage to earnings than book values. Overall, the findings of the study will facilitate improved decision making for both, capital market participants and regulators, by highlighting the key areas for improvement in the Indian capital market.

This study also extends a discussion on the subject in those economies where regulations are weak and the market is imperfect with asymmetrical information.

The research outcome provides for empirical shreds of evidence regarding the value relevance of accounting information during IFRS enforcement in India, where IFRS is a recent emergence.

This paper examines the value relevance of accounting information during IFRS convergence period in India which will felicitate improved decision making for both, market regulators and investors.

This research is the first factual documentation regarding value relevance of earnings and book value during the IFRS enforcement process in India with the most recent data and contributes to the limited study conducted in developing nations like India.

This study aims to examine the financial reporting quality during the International Financial Reporting Standards (IFRS) enforcement period in the emerging markets of India and Indonesia by using Ohlson’s (1995) valuation model. The study further endeavors to compare the quality of the reporting environment and its impact on stock prices for both these emerging economies by using a price model during the IFRS conversion period.

This paper aspires to obtain insights about the value relevance of accounting information during the IFRS enforcement period for India and its Southeast Asian neighbor, Indonesia which is identical in terms of inclusive growth and development. In that context, 3,325 Indian (National Stock Exchange indexed) and 815 Indonesian (Indonesian stock exchange indexed) firm-year observations were examined by using Ohlson’s price valuation model for five years, representing the IFRS adherence period.

The findings of the paper insinuated that the value relevance of book values and earnings, both, have increased throughout the IFRS enforcement period for both economies. However, the investigation revealed that the incremental interpretive power of earnings is more substantial and evident during the IFRS adherence phase than book values which indicates investor’s inclination toward earnings management over book values.

The findings may assist the regulators, investors, firms and standard setters of both economies in examining the effectiveness of financial reporting curriculums as it brings forth informational improvement in the financial market. This study also outstretches the discussion on the subject in other emerging nations where the market is imperfect with insufficient information, poor enforcement and limited regulations. This investigation has few limitations such as limited data and period, only two emerging economies and two control variables, thus provide scope for future research.

This paper endeavors to investigate and compare the value relevance of accounting information during IFRS convergence period between India and Indonesia with an aim to assist in improved decision making for both, regulatory bodies and market participants in both the countries.

The key contribution of the study is to examine whether the accounting information is value relevant during the IFRS convergence period for the two fastest-growing economies in Asia, India and Indonesia and it is the first such empirical research to the best of the author’s knowledge. The study is an extended contribution to the modest research administered in developing nations.

The issue of export instability exerts an enduring fascination for economists with an interest in the area of economic development. Over several decades a voluminous literature has emerged embracing debates on the domestic consequences and on the causes of export instability. The purpose here is to examine these debates and an attempt is made to set out different theoretical stances, to classify and examine empirical findings, and to indicate the directions in which the debates have moved. Such a statement of a review article's purpose is, of course, incomplete without more specific delineation of the boundaries within which the general objectives are pursued. Here that delineation has three facets.

The purpose of this paper is to organize and take stock of the present situation of research on stock market integration by reviewing the available literature, to provide quick and easy access for future researchers. Another objective of the present study is to classify the literature and to provide the comprehensive bibliography on stock market integration and to analyse the findings and results of the studies taken into consideration for review.

A range of sources were searched to review the past literature on stock market integration and out of thousands of papers, 100 research papers form the sample for the present study. These 100 research papers are classified on the basis of various variables to know the status of research on the same topic.

This paper classifies the past literature on stock markets integration and finds that the research work on the same area has been increased during the recent time period, especially from 2005 to 2010 and coverage of stock market integration across emerging economies has increased in recent years. The study revealed many other findings also.

The present paper provides the collection, classification and comprehensive bibliography on stock market integration, which may be helpful for academicians, practitioners and future researchers when studying the existing research work, as well as for considering future researches on the same subject area.

Conducts both the cointegration test of the monetary theory of inflation and the Granger‐causality test between the variables in the system, and also develops univariate and multivariate time series models to forecast inflation rates. Quarterly time series data for Pakistan, from 1972‐2 to 1993‐4 is used for empirical investigation. Results suggest no cointegrating or long‐run relationship between the variables in the monetary model. Observes that there is some evidence of Granger‐causality running from inflation to output growth. Comparison of out‐of‐sample quarterly forecasts for the 1988‐1 to 1993‐4 period are made for univariate and vector ARMA models of inflation. States that the forecasting accuracy of the multivariate ARMA model is not statistically different from that of the univariate ARMA model.