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This study investigates the impact of pre-IPO earnings management on investor demand in the Indian IPO market. It also examines whether earnings management by issuer firms affects IPO valuation, a topic that is underexplored in accounting research.

The study uses the data of 310 IPOs from India during the period 2000–2021. The association between pre-IPO earnings management with investor demand and valuation is tested using cross-sectional ordinary least squares regression models with heteroscedasticity-robust standard errors.

The study finds that the degree of pre-IPO earnings management impacts retail investor demand, measured as their over-subscription multiple. Pre-IPO earnings management is unrelated to institutional investor bidding. Further, this paper suggests no relation between pre-IPO earnings management and IPO valuation.

Future studies could explore various other forms of earnings management and their impact on investor demand and valuation.

The findings of this study will help the investors and regulators to understand the practice of earnings management among IPO firms and how it is related to IPO demand and valuation.

This study contributes to the existing literature on IPO-earnings management and investor demand by documenting that issuer firms engage in earnings management to influence investor demand, particularly retail investor demand. Analysis of IPO valuation reveals that earnings management is mostly unrelated to IPO valuation, contrary to the general perception in the literature.

Start-ups are successful in receiving valuation in billions of US dollars prior to initial public offering (IPO). However, to sustain higher valuation, the stocks need to perform consistently after the IPO. Short-run stock performance of India-based start-ups during the first year of IPO listing from March 2021 to March 2022 is analysed.

The paper deals with the new generation start-ups' stock performance in emerging market in terms of total and abnormal return generated in comparison to the market (NIFTY-200). Further, the volatility of returns during bear and bull regimes is analysed through a family of Markov-switching GARCH models using both normal and skewed distributions.

The results suggest that start-up stocks are more volatile during bear regime than in the bull run in market-based economies where price limit policy does not apply. Besides, the cumulative abnormal return over the market return was lower for majority of start-up IPO stocks.

Though negative returns of the start-up stocks during the first year of IPO need not be surprising, higher volatility during bear regime is a matter of concern as it could severely impact retail investors and founders. The results hold implication for IPO regulation in emerging markets and for retail investors desirous of investing in start-up stocks.

Volatility of return is examined using a state-space model during the first year of the start-up IPO listing. The study contributes to the emerging market IPO literature by examining IPO performance in market-based economy. Previous IPO performance studies in emerging markets are predominantly based on ecosystems where start-ups are subjected to price limit policy, and it does not reflect the true nature of IPO performance across emerging markets.

The purpose of this study is to see if market timing predicts the first reporting of earnings performance after the issue, i.e. the issue-year earnings performance. Furthermore, this study examines the behaviour of financial and non-financial issuers’ performance in the light of varied market timings.

This study focuses on 785 NSE-listed initial public offerings that took place between April 2010 and December 2021. This study evaluates market timing by using moving averages. Using multiple regression analysis, the research further investigates the impact of market timing on issue-year earnings performance for financial and non-financial issuers on the basis of an interaction (moderation) effect.

This study finds that there is a significant presence of market timing in India, which predicts issue-year earnings performance. This study also demonstrates that hot market issuers’ performance is heavily influenced by market timing for non-financial issuers only. However, financial companies are not influenced by market timing.

The findings of this study will assist the potential investors, analysts and stakeholders about performance of public issuers in India. Lower earnings performance for hot market non-financial issuers implies that the issuers’ market performance may not be supported by earnings figures. A market performance that is not synchronous with earnings will not last long. The findings of this study hold implications to the regulators as well to keep an eye on issuers’ earnings performance alongside the stock performance. Apart from that, the observations in context of financial and non-financial issuers provide insight about the variation in performance of public issues on the basis of background.

To the best of the authors’ knowledge, this is the only study to examine earnings performance in the context of market timing in India. This study holds significance in terms of methodology for anticipating the presence of market timing and the study of interaction effects. Moreover, it is one of the few studies that has focused on comparing financial and non-financial issuers around the world.

Understanding the determinants of a corporate initial public offering (IPO) success is essential for reducing investors' valuation uncertainty when participating in share offerings. In this sense, this study contributes to the existing debate by examining IPO prospectus readability. The authors specifically investigate how clear and more informative insights into pure corporate key financial numbers can lead to a higher valuation for the company after the listing process.

Through a sample of European IPOs, the authors employ a cross-sectional regression to test the relationship between prospectus readability through the Flesch reading ease (FRE) score and companies' market-to-book ratio at the period end date after the listing process.

The study findings show a positive impact of higher readability on the post-IPO market-to-book ratio. Thus, clear and more informative communication results in stocks being traded at a premium to their book value. This study presents a concrete call for firms to increase corporate documents’ readability to mitigate the risk of withdrawing or spoiling corporate market access. Specifically, enhanced clarity and transparency increase investors' confidence, facilitating a better understanding of companies' intrinsic value and the overall IPO process. The authors conducted several tests to validate the results.

To the best of the authors’ knowledge, this is among the first works to explore the relationship between the readability of corporate prospectus and the sustained IPO success in the European context.

Driven by the anticipated global stagflation, this straightforward yet novel study examines the cost of inflation as a macroeconomic factor by investigating its influence on stock market growth. Thus, this paper aims to examine the impact of inflation on the probability of initial public offering (IPO) withdrawal decision.

The paper employs a large dataset that covers the period January 1995–December 2019 and comprises 33,536 successful or withdrawn IPOs from 22 nations with various legal and cultural systems. This study applies a probit model utilizing version 15 of Stata statistical software.

This study finds that inflation is substantially and positively correlated with the likelihood of IPO withdrawal. Results of this study show that the IPO withdrawal decision increases up to 90% when the inflation rate climbs by 10%. Multiple robustness tests provide consistent findings.

This study's implications are important for researchers, investment banks, underwriters, issuers, regulators and stock exchanges. When processing IPO proposals, investment banks, underwriters and issuers must consider inflation projections to avoid negative effects, as demonstrated by the findings. In addition, regulators and stock exchanges must be aware of the detrimental impact of inflation on competitiveness in attracting new listings.

To the best of the authors’ knowledge, this study is the first to present convincing evidence of a major relationship between IPO withdrawal decision and inflation.

This paper aims to examine the informational value of credit rating changes for investors. The article analyses whether credit rating changes indicate the future financial performance of a firm.

The study employs pooled time-series cross-section regression technique and two-sample t-test for analysis. The paper utilizes a firm's operating profit as a proxy of its future financial performance to understand what inference can be drawn about future financial performance from a change in a firm's credit rating.

The paper finds that a firm operating profit declines in the year after a credit rating downgrade. However, no such significant relationship is evident in the case of a rating upgrade. The results are consistent across rating categories and individual years of the sample period.

The study uses non-financial corporate rating data; hence, the findings may not apply to credit rating changes in financial corporates and structured finance.

Investors and analysts can incorporate credit rating downgrade by CRAs as a key input in a firm's future financial forecast. Analysts and investment managers can also look at credit rating changes of firms in the same industry and draw a definite conclusion about which firm is likely to see a higher deterioration in performance.

The author has not come across any literature that directly investigates credit rating changes from the perspective of information content about future financial performance.

The fundamental purpose of this study is to analyse the determinants of higher education quality in Afghanistan based on insights from student perceptions. Understanding this part holds paramount importance in enunciating sound policies for the smooth functioning of the higher education sector of Afghanistan.

This study aims to classify students' background and demographic data, distinguishing their perception of higher education quality using a deductive research approach. A sample of 418 students from five top private universities in Afghanistan was chosen to assess their perceptions of higher education dimensions by employing a multinomial regression analysis.

The findings indicate that extracurricular activities, students' scholarship status, parents' education, age, previous academic results and the university they attend significantly impact their perception of the quality of higher education.

This research is essential for education policymakers and university administrators. These findings can be replicated to develop regulations and target specific groups of students to ensure a favourable academic environment and boost the brand image of their universities. This would ensure long-term quality improvement and assurance outcomes, allowing higher education institutions to compete with regional and international institutions.

This study contributes to identifying the determinants of higher education quality based on the perceptions of the students in Afghanistan.

Emerging markets are characterized by weak institutions and strong relationships, which give rise to different market characteristics in supply chain relationships. This study investigates the impact of customer concentration on suppliers' real earnings management.

Based on China's relationship-based transaction, this study selects 2007–2019 Shenzhen and Shanghai Stock Exchange A-share manufacturing listed companies as the research samples. The empirical analysis is derived from the ordinary least square regression model with industry and year fixed effects, and cross-sectional analysis is used for further analysis.

It is found that the higher the degree of customer concentration, the more likely a company is to engage in real earnings management mainly through discretionary expenses instead of accrual-based earnings management. Further research shows that when suppliers provide customers with higher commercial credit and make more relationship-specific investments, and when major customers are also major suppliers, the effect of customer concentration on real earnings management is more significant. It can be seen from the results that high customer concentration is beneficial for suppliers to cooperate with major customers in emerging markets.

This research expands the relationship between customer relationship-based transaction and earnings management from the perspective of collaboration. These conclusions are of great significance for market regulators to reform information disclosure related to customers and for participants to pay attention to the composition of major customers of the company.

This paper develops a decision-analysis model to prioritize and select the site to establish a new hospital over different indicators such as cost, market conditions, environmental factors, government factors, locations and demographics. In this way, an integrated model is proposed under the intuitionistic fuzzy information (IFI), the standard deviation (SD), the rank-sum (RS) and the measurement of alternatives and ranking using the compromise solution (MARCOS) approach for ranking hospital sites (HSs).

The IF-SD-RS model is presented to obtain the combined weight with the objective and subjective weights of diverse sub-criteria and indicators for ranking sites to establish the hospital. The IF-MARCOS model is discussed to prioritize the various sites to establish the hospital over several crucial indicators and sub-criteria.

The authors implement the developed model on a case study of HSs assessment for the construction of new hospital. In this regard, inclusive set of 6 key indicators and 18 sub-criteria are considered for the evaluation of HSs. This study distinguished that HS (h₂) with combined utility function 0.737 achieves highest rank compared to the other three sites for the given information. Sensitivity analysis is discussed with different parameter values of sub-criteria to examine how changes in weight parameter ratings of the sub-criteria affect the prioritization of the options. Finally, comparative discussion is made with the diverse extant models to show the reasonability of the developed method.

This study aims to develop an original hybrid weighting tool called the IF-SD-RS model with the integration of IF-SD and IF-RS approaches to find the indicators' weights for prioritizing HSs. The developed integrated weighting model provides objective weight by IF-SD and subjective weight with the IF-RS model. The model presented in the paper deals with a consistent multi-attribute decision analysis (MADA) concerning the relations between indicators and sub-criteria for choosing the appropriate options using the developed IF-SD-RS-MARCOS model.

The purpose of this article is to synthesize the topics, conceptualizations and measurements of value-based management (VBM) and to suggest a research agenda covering its next evolution as sustainable governance.

The authors conducted a systematic literature review of 80 seminal studies published between 1979 and 2022. The authors synthesized the studies by their conceptualizations of VBM in an inductively developed framework.

The authors find that scholars explore diverse topics related to VBM with a prevailing focus on shareholder primacy. There is a paucity of studies that focus on the integration of shareholder maximization and stakeholder management practices. The authors explain which studies will form a promising foundation for advanced research on sustainable governance that will reach beyond current VBM research.

The authors' research agenda addresses new future topics on conflicting goals within and between shareholder groups, offers specific suggestions for using new research methods and untapped data sources for VBM and paves the way to substantially extend the boundaries of the firm in VBM research to include stakeholders, strategic alignment and new sustainability measures.