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This paper aims to review, discuss and synthesize the literature focusing on the Indian initial public offering (IPO) market. Understanding the Indian IPO market can help answer broader corporate finance questions. The growing number of IPOs in the Indian context, coupled with the increasing importance of the Indian economy in the global market, makes this review an essential topic.

The systematic literature review methodology was adopted to review 111 papers published between 2002 and 2021. The authors used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach during the review process. Additionally, the authors use a bibliometric review methodology to examine the pattern and trend of research in this area of interest. Furthermore, the authors conduct a critical review and synthesis of the top 20 papers based on citations. The authors also use a co-citation network and manual content analysis method to identify key research themes.

This review helps in identifying major themes of research in this area of interest. The authors find that majority of the research has focused on IPO performance whereas post-IPO performance needs critical attention as well. The authors develop a comprehensive framework and future research agenda based on their discussion.

Meta-analysis of the literature can be conducted to gain better insights into the findings of prior studies.

This review paper develops a comprehensive overview on Indian IPO market which can be of interest not only to Indian scholarship. India as an economy is increasingly gaining attention at the global level. Hence, the future research objectives as illustrated in the study can be of interest for the global scholarship also.

To the best of the authors’ knowledge, this is the first comprehensive review paper that examines, synthesizes and outlines the future research agenda on Indian IPO studies. This review can be useful for researchers, business policymakers, finance professionals and anyone else interested in the Indian IPO market.

This study aims to investigate the impact of intellectual capital (IC) on investor demand (i.e. subscription rate). The rise of the knowledge economy motivates us to investigate how the value added by the IC of the issuing firms affects potential investors’ responses.

This study investigates the impact of IC on initial public offering (IPO) subscription rates using 234 IPOs from March 31, 2010 to March 31, 2021. This study uses multivariate regression, including year and industry dummies, and conduct robustness tests with industry subsamples. Additionally, this paper uses an alternative demand proxy (i.e. listing day returns) and two-staged least squares to address endogeneity.

This paper documents an inverse relationship between investor demand and human capital efficiency alongside a positive correlation between investor demand and structural capital efficiency. Additionally, IC efficiency positively affects listing day returns, with individual investor demand significantly driven by institutional investors.

This study uses Pulic’s (2000) methodology for measuring IC and examines whether it reduces information asymmetry in the IPO market and encourages investors to subscribe to an issue. This study holds significant implications for IPO issuing firms, investors and regulators regarding the IC disclosure in the prospectus.

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.

This study aims to examine the impact of disclosure on the unsolved initial public offering (IPO) puzzle. For this purpose, the authors analyzed the impact of the primary uses of the proceeds disclosed in a firm's IPO prospectus on underpricing, prelisting performance, postlisting underperformance and operating performance.

This study uses Indian public firms that went public between March 31, 2010, and March 31, 2020. A multivariate regression technique was used to study the impact of the primary uses of proceeds on underpricing, prelisting performance and postlisting underperformance, whereas a quantile regression technique was used to study their impact on operating performance.

The authors found that the primary use of proceeds disclosure helps predict underpricing and returns to the investor only until day 60 postlisting; beyond that, they provide no further insights into the firm's performance. Firms with lower and average operating performance should not state the general corporate purposes and payment on borrowings, respectively, as their primary use of proceeds, as it leads to a decline in their operating performance.

Results might suffer from the potential endogeneity problem due to selection bias. This research focuses on India only, which makes generalization of results for other economies difficult. Future research may extend the post-IPO period and include more developing economies. Furthermore, future studies can draw comparisons between developed and developing nations' disclosures of using proceeds.

This study will help the firms going public in India better disclose the use of proceeds based on their characteristics. Stating future acquisitions, payments on borrowings and working capital reduces the uncertainty, and therefore, these are feasible avenues for investing proceeds raised through IPO.

The authors used ten categories for the primary use of proceeds disclosure, whereas previous studies have used only five to six categories. To the best of the authors’ knowledge, this study was the first to use underpricing, postlisting performance and operating performance in a single study. These measures gave a more holistic view of the use of proceeds disclosure.

Initial Public Offering (IPO) is a major milestone for a company. It allows a private company to issue shares to a much broader group of investors and become public. But conclusive evidence of the driving forces behind investors’ demand is yet to be identified. Therefore, the major purpose of this study is to assess the level of investors’ demand in IPO and how investors’ demand in IPOs is affected.

The study will employ 80 IPO companies of a Muslim-majority country, Bangladesh, starting from 2013 to 2021 with application of linear and quantile regressions. Apart from that, t-test will be used to compare means of groups of Shariah-compliant and non-Shariah-compliant firms and IPOs under fixed-price and book-building mechanism.

Oversubscription is higher for IPOs issued through fixed-price method compared to book-building method, but no significant difference is found in oversubscription for Shariah firms compared to non-Shariah firms based on t-tests. The authors found IPO size, firm size, IPO risk, proportion of shares offered to public, and bank interest rate to have significant impact on the IPO demand. Some models found non-Shariah compliance status of IPO companies to be a significant factor for the investors to demand IPO. Quantile regression results found board independence to have a positive association with larger, less-subscribed firms and board size to have a negative relation with IPO demand, for smaller firms with high demand.

Future studies may apply the findings to other settings, especially into the reasons behind preference for non-Shariah-compliant firms and higher demand for IPOs during higher interest rate. Equity issuing firms and issue managers can benefit from this study by wisely deciding on the proportion of shares for public, issue size and board of director composition. Shariah considerations cannot be ignored given that more information on Shariah compliance is disseminated among investors despite current non-preference for Shariah-compliant IPOs. On the other hand, institutional investors and general investors should consider firm-specific, governance and macroeconomic factors in IPO investment. Likewise, regulators would do well to bring in quality IPOs with characteristics mentioned in this study for ensuring stability of the market.

The main contribution of the study is identifying determinants of IPO demand: faith, governance, macro issues – understanding whether one or many of the above factors drive investor demand in IPOs of a Muslim-majority country will be the main contribution.

This chapter investigates the cost of public debt for firms using a comprehensive sample consisting of 17,368 industrial bond issues from 1970 to 2011. The empirical evidence shows that yield spreads for seasoned bond issues are significantly lower than those for initial bond issues. This seasoning effect is robust across different sample periods, subsamples, and model specifications. On average, the yield spreads for seasoned bond issues are around 50 bps lower than those for initial bond issues. This difference cannot be explained by other bond and firm characteristics. The seasoning effect is more pronounced for firms with higher levels of uncertainty, lower information disclosure quality, and longer time intervals between the first and subsequent issues. Our empirical findings provide supportive evidence for the extant theories that aim to rationalize the information role in determining the cost of capital.

This paper originally proposed the fuzzy option pricing method for green bonds. Based on the requirements of arbitrage equilibrium, this paper draws on Merton's corporate bond option pricing model.

Describing the asset value behavior of green bond issuing enterprises through diffusion-jump processes to reflect the uncertainty brought by carbon emission reduction policies and technologies, using approximation methods to get the analytical pricing formula and then, using a fuzzification technique of Choquet expectation under  λ-additive fuzzy measures after considering fuzzy factors, the paper provides fuzzy intervals for the parity coupon rates of green bonds with different subjective levels for investors.

The paper proposes and argues the classical and fuzzy option pricing methods in turn for both corporate ordinary bonds and green bonds, considering carbon risk or climate risk. It implements the scenario analysis varying with industry emission standards and discusses the sensitiveness of the related key parameters of the option.

The fuzzy option pricing for the green bonds provides the scope of the variable equilibrium values, operational theoretical supports and some policy implications of carbon reduction and promoting green funding.

The logic of introducing the fuzziness of the option pricing for the green bonds lies with considering the existence of fuzzy information about the project supported by the green bond and the subjectivity of investors and it also responds to changes in technological uncertainty and policy uncertainty in the process of “carbon peaking and carbon neutrality.”

To predict the price of battery-grade lithium carbonate accurately and provide proper guidance to investors, a method called MFTBGAM is proposed in this study. This method integrates textual and numerical information using TCN-BiGRU–Attention.

The Word2Vec model is initially employed to process the gathered textual data concerning battery-grade lithium carbonate. Subsequently, a dual-channel text-numerical extraction model, integrating TCN and BiGRU, is constructed to extract textual and numerical features separately. Following this, the attention mechanism is applied to extract fusion features from the textual and numerical data. Finally, the market price prediction results for battery-grade lithium carbonate are calculated and outputted using the fully connected layer.

Experiments in this study are carried out using datasets consisting of news and investor commentary. The findings reveal that the MFTBGAM model exhibits superior performance compared to alternative models, showing its efficacy in precisely forecasting the future market price of battery-grade lithium carbonate.

The dataset analyzed in this study spans from 2020 to 2023, and thus, the forecast results are specifically relevant to this timeframe. Altering the sample data would necessitate repetition of the experimental process, resulting in different outcomes. Furthermore, recognizing that raw data might include noise and irrelevant information, future endeavors will explore efficient data preprocessing techniques to mitigate such issues, thereby enhancing the model’s predictive capabilities in long-term forecasting tasks.

The price prediction model serves as a valuable tool for investors in the battery-grade lithium carbonate industry, facilitating informed investment decisions. By using the results of price prediction, investors can discern opportune moments for investment. Moreover, this study utilizes two distinct types of text information – news and investor comments – as independent sources of textual data input. This approach provides investors with a more precise and comprehensive understanding of market dynamics.

We propose a novel price prediction method based on TCN-BiGRU Attention for “text-numerical” information fusion. We separately use two types of textual information, news and investor comments, for prediction to enhance the model's effectiveness and generalization ability. Additionally, we utilize news datasets including both titles and content to improve the accuracy of battery-grade lithium carbonate market price predictions.

This study explores virtual platforms’ capabilities, particularly emphasising the influence of educational movies embedded with lifelike narratives to serve as a potent medium for immersive learning within the auditing discipline. Through this exploration, we aim to discern how cinematic depictions can educate and encapsulate the intricate dynamics of real-world auditing scenarios, thereby enriching the educational experience for budding auditors.

By employing an action research methodology, this study engaged 134 auditing students from China in an experiment, using a questionnaire to assess their grasp of auditing concepts like internal control, corporate governance, and professional ethics.

Preliminary findings underscore the efficacy of movies as pedagogical tools. These movie experiences bridge the gap between theoretical knowledge and its real-world application, particularly highlighting the nuances of professional ethics and corporate governance. Results show that such a method amplifies students’ comprehension of auditor skillsets, practical complications, and ethical insight and nurtures professional scepticism about tangible audit issues.

This study illuminates a novel virtual learning approach using movies that primes students to exercise critical thinking and augments cognitive skillsets, especially when navigating ethical conundrums. The broader implication is the potential enhancement of auditing education quality in China, presenting educators with an innovative teaching modality that bolsters students’ critical analysis and cognitive development.

This study has multiple implications for auditing education policy. It underscores the imperative need for curriculum revision in contemporary auditing education. Our study can significantly change contemporary auditing education by incorporating movie-based experiential learning. Educators and institutions in China and other parts of the world explore this avenue, customising it to fit the unique requirements of their respective courses and the country’s contexts. Our study also highlights the challenges and recommendations for real-world audit simulation for auditing education. While our research highlights the promise of educational movies, it also sheds light on the potential difficulties in their integration. Audit educators need adequate support and training for effective assimilation, ensuring they leverage educational movies to maximise learning outcomes. Careful curation and selection of movies, combined with strategic planning, are paramount to this teaching method’s success. With the continual evolution of video tools, there is an opportunity for a more immersive and holistic education model, shaping the next generation of auditors.

This study offers insights into innovative strategies to imbue real-world experience into traditional curricula, ensuring relevance and applicability across diverse educational landscapes.

This paper aims to assess the rank of Shariah compliance (SC) and its impact on the financial performance of non-financial companies listed on the Saudi Stock Exchange. It seeks to understand the relationship between adherence to Shariah principles and the financial success of these companies, providing insights into the importance of SC in the Saudi Arabian context.

The study adopts a quantitative research approach, using financial and SC data from non-financial companies listed on the Saudi Stock Exchange. SC is measured using the Accounting and Auditing Organization for Islamic Financial Institutions standards. Financial performance is evaluated using various financial indicators, including return on assets (ROA), return on equity (ROE) and return on investments (ROI). Statistical analysis, including regression analysis, is conducted to examine the relationship between SC and financial performance.

The findings indicate a positive association between SC and financial performance in non-financial companies listed on the Saudi Stock Exchange. Companies with higher ranks of SC demonstrate superior financial performance, as evidenced by higher ROA, ROE and ROI. This suggests that adhering to Shariah principles can contribute to improved financial outcomes for companies operating in the Saudi Arabian market.

The study highlights the practical implications of maintaining SC for non-financial companies in Saudi Arabia. It emphasizes the importance of aligning business practices with Shariah principles to enhance financial performance. The findings suggest that companies can benefit from implementing Shariah-compliant strategies and practices, potentially attracting investors and improving their overall competitiveness in the market.

The social implications of SC in the Saudi Arabian context are significant. Adhering to Shariah principles not only ensures compliance with religious and cultural norms but also promotes ethical and responsible business behaviour. Companies that prioritize SC contribute to the development of a socially responsible and sustainable business environment.

To the best of the authors’ knowledge, this study represents the first investigation into the impact of SC rank on financial performance. By examining non-financial companies listed on the Saudi market, it contributes significantly to existing literature by providing empirical evidence supporting a positive correlation between SC rank and financial outcomes. The findings offer valuable insights for companies, investors and policymakers in Saudi Arabia, enhancing their understanding of the unique dynamics between SC rank and financial performance. This research enriches the body of knowledge in Islamic finance and business, making a notable contribution to the field and opening avenues for further exploration.