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This paper aims to examine the impact of initial public offerings (IPO)-year opportunistic earnings management on long-term market and earnings performance.

A sample of 150 book-built IPOs over 2001-2006 are analysed based on industry adjusted return on sales and industry adjusted return on assets for six post-IPO years. The quality of earnings is measured in two ways using discretionary accruals and Beneish manipulation score. Modified Jones model is used to estimate the expected accruals and to compute the discretionary accruals for each IPO firm year. Regression model is used to examine the impact of IPO-year quality of earnings on future earnings performance.

The paper finds that earnings and market performance of IPO companies are abnormally higher in the IPO-year, as compared to the post-IPO years. Similarly, the quality of earnings during the IPO-year is lower than those in the post-IPO years. The results also show that the opportunistic earnings management in IPO-year has significant negative impact on the long-term adjusted earnings and market performance.

The present study is confined to the period from 2001 to 2006 for the purpose of post-IPO analysis for a period of six post-IPO years. Thus, the conclusions of this study are to be viewed with this limitation.

This paper is the first study based on the Indian context to examine the relationship between the quality of earnings of the IPO firm and long-term earnings and market performance.

In the post-Enron era around the world, the role of auditor is widely debated. There is an increasing concern that an auditor’s continuous involvement with clients could impair audit quality – the negative view. There is also a positive view that a long auditor tenure leads to accumulation of client-specific knowledge over time, which could lead to high-quality audits. The empirical result with regards to impact of mandatory auditor rotation (MAR) is mixed world-wide. This study aims to examine whether MAR rules implemented in 2017 impact audit quality in India.

Using a unique setting in which MAR was required from 2017 to 2018 onwards in India, this study provides empirical evidence of the impact of MAR regulation on audit quality (modified audit opinion). The study uses data for 714 firms (4,284 firms) for six years (three years before MAR and three years after MAR regulation in India).

The study found that auditor tenure and MAR had significant negative impacts on audit quality, validating the “positive” view of audit tenure and audit quality. In addition, concentrated ownership had a negative impact on audit quality, implying the control and influence by concentrated ownership on auditors and audit opinion. The analysis shows that MAR regulation has not yielded the intended objective of improving audit quality in India. MAR is not a good template for improving audit quality.

The findings of the study are useful to policymakers, regulators, managers, investors and users of financial reports. The study calls for public policy on auditor rotation based on objective scientific evidence. In light of the evidence in India that MAR does not lead to better audit quality, the study calls for reset of regulatory policy in India.

The study provides valuable insights to analysts, regulators and other users of financial accounts about the implications of MAR in India.

The study is one of the few to report on the impact of MAR, particularly in the context of an emerging market economy such as India.

The purpose of this study is to examine the key research question, which is whether fintech innovation for financial inclusion has been successful in India? As fintech has been popular in many countries, there is very little understanding on how successful it has performed in India for financial inclusion. This research attempts to ravel important factors that may or may not have a direct or indirect impact on fintech innovation for financial inclusion, thereby dissecting the empirical data to reveal important information for the reader.

This study covers a comprehensive literature review, from which key variables are discovered, then develops hypotheses to be examined, followed by proposing a research model. The survey data examines important research instruments for fintech inclusion in India, identifying and measuring factors, leading to partial least squares (PLS) model testing. Finally, the key findings are reported.

The findings reveal that fintech innovation from variables such as users experience and motivation for digital payments drives usefulness and ease of use leading to financial inclusion. The security, trust, transparency and customer support when built into the fintech innovation for digital payments influences perceived ease of use (PEOU) and usefulness that mediates to uplift financial inclusion directly. Whereas perceived usefulness (PU) anchoring happens to be a precursor for the financial inclusion. On the contrary, cultural values for fintech innovation through PEOU and usefulness had no impact whatsoever on financial inclusion, thus demystifying cultural influences as non-influential factor.

Research limitations are that the study was conducted in India, and may not be generalised in other countries; however, it can be modified to fit future research. Survey data captured was from a particular region of South India, which may differ from the rest of the country. The sample size and research period were adequate; however, larger data sets would be more meaningful for longitudinal studies. As India is the second most populous country in the world, a comparison with other similar countries of the same size and geographical location will be useful for future research.

This research reveals that financial inclusion is much more complex than previously known and that the penetration of fintech has the capacity to go deeper and include a large number of people into the mainstream financial system and ameliorate the inequities in urban-rural gender and caste. The user’s experience, culture and motivations positively influenced the usefulness and ease of use for driving the financial inclusion of digital payments. Further security, trust, transparency and customer support can facilitate the use of central bank digital currency (CBDC) as a tool for financial inclusion.

Fintech innovation for financial inclusion is based on the successful acceptance of the digital payment system by people in the society. This research has identified that for any fintech innovation, it is essential that society needs to benefit from it. Encouraging a larger population to switch to digital payments offer challenges and opportunities. While the opportunities are enormous research suggests that early adopters of new technology go through different phases of testing, in which a society can completely accept an innovation or can completely reject an innovation if the two mediating factors such as PU and ease of use do not perform as predicted, thus having a higher failure rate. On the other side, if such an innovation as fintech becomes successful it has the capacity to bring billions of people into mainstream financial inclusion, a success story that can greatly benefit the Indian society and which can be replicated among other countries in the world.

To the best of the authors’ knowledge, this study is the first attempt in an effort to understand the influential factors from the point of view of users for the adoption of CBDC for financial inclusion. The main contribution of this paper is to examine the role of CBDC as an instrument to foster financial inclusion in India, which has not been attempted so far. The originality also lies to the heart of the research is dissecting and making meaningful sense of the empirical data, developing and measuring research instruments and hypotheses and finally adopting a PLS model to answer the key research question, which is whether fintech innovation for financial inclusion can be successful for India?

This paper aims to investigate the rounding-up in reported income numbers of Indian companies by examining the evidence of unusual occurrence of zero and nine in reported income numbers such as profit after tax and earnings per share (EPS). It also examines such rounding-up patterns under different scenarios such as companies varying across different time periods, income size, market capitalization, industries, initial public offering and earnings news.

All 1,707 companies listed on National Stock Exchange of India were considered for analysis. This study covered a period of 21 years from 1991-1992 to 2011-2012. Data were collected from PROWESS database.

In Indian companies, the rounding-up pattern in reported income numbers is in conformity with existing studies (Carslaw, 1988; Thomas, 1989). In case of income numbers, the observed proportionate occurrence of zero and nine is significantly different from the expected proportionate occurrence. The study found that anomalies in reported earnings vary across industry. Further, it is found that the per cent deviations are more in case of companies having high income levels, high market capitalization and with positive news.

In future studies, it will be interesting to develop a model reflecting the causes for such rounding-up of income numbers.

The paper provides an insight analysis on the rounding-up behavior of Indian companies and facilitates the understanding of occurrence of such anomalies under various scenarios. This paper may be useful to all the users of accounting information.

First study on examining the rounding-up of reported income numbers and EPS by companies in India.