Search results

The study examines the effect of increased Economic Policy uncertainty on analyst optimism in the Indian market. The study also explores whether the SEBI Research Analyst Regulation, 2014, has effectively contained the optimistic nature of analysts.

The study is based on firms in the Indian market. The sample period is 2003–2020. It runs a linear panel regression to measure the impact of Economic Policy uncertainty on the optimism level of analysts' forecasts and recommendations, controlling for firm fixed effects. Further, the impact of the SEBI Research Analyst Regulation, 2014, has been assessed with the help of the difference-in-difference approach.

The Economic Policy uncertainty is significantly and positively related to the analyst optimism, reflected in the forecast bias and recommendation in the Indian context. The experience of analysts and the age of the firm positively drive optimism. However, introducing the Research Analyst Regulation by SEBI led to a decline in analyst optimism. The regulation decoupled the analysts' compensation from brokerage service transactions. Thus, the results suggest that the regulation has effectively curbed the incentive to produce optimistic output.

This is the first study in the Indian market to assess the impact of uncertainty on analyst output. It also investigates the effectiveness of the first analyst-specific regulation in India, i.e. The Research Analyst Regulation, 2014.

In this study, the authors investigate if analysts, as knowledgeable information intermediaries, can correctly identify bank corporate social responsibility (CSR) activities and can reliably transmit that information to investors. Hence, the authors specifically explore if analysts perceive and behave differentially in the presence of genuine bank CSR activities (strengths). The authors also analyze if financial markets differentially assess bank CSR strengths. The authors further explore the viability of focusing on analyst and financial markets to validate genuine bank CSR strengths.

The authors use COMPUSTAT and CRSP for firm and financial data, I/B/E/S for analyst reporting data and MCSI Research KLD for CSR data. The sample consists of 329 distinct banks and 2,525 bank-year observations from 2003 to 2016. The primary CSR score is the total number of CSR strengths less the total number of CSR concerns, across six of the seven dimensions for each firm in each year of the sample (Adjusted CSR Score). In addition, the authors estimate all the analyses with dis-aggregated measures of total CSR strengths and total CSR concerns (Adjusted Total Strength Score).

The authors find that analysts correctly distinguish and construe bank CSR strengths from CSR concerns. Specifically, bank CSR strengths increase analyst following and forecast accuracy, while decreasing analyst forecast dispersion. The authors further find that bank CSR strengths increase bank market returns. These results are reversed for bank CSR concerns. Additionally, the authors demonstrate that this method using knowledgeable intermediaries can help validate bank CSR strengths.

The sample is limited to US banks and financial markets. The regulatory and information environment is likely to be different from global or emerging markets. However, since banks in many countries aspire to emulate the US banks, these results would be a precursor of banking sectors conditions in emerging markets. Additionally, the availability of data limits the sample to a period that ends in 2016. To the extent that the importance of ESG and CSR concerns has increased in the intervening time, the results may not accurately reflect the current state of the market.

This investigation benefits researchers, customers, banking executives, regulators and activist groups. First, the authors show that in addition to customers, analysts and the financial markets appreciate bank CSR strengths. Second, despite sophisticated financial reporting by banks, analysts correctly distinguish and construe bank CSR strengths. Third, the authors demonstrate a method for bank marketing researchers to validate genuine bank CSR activity, as well as provide additional support for customer related bank CSR outcomes. Fourth, the findings highlight the importance for banks to have high-quality CSR reporting. This might be especially helpful to a bank rebuilding its reputation after a CSR failure. Finally, this investigation using US banks could serve as a precursor for future bank CSR research and help develop CSR reporting guidelines for banks in emerging economies.

This investigation benefits researchers, customers, banking executives, regulators and activist groups.

This investigation benefits researchers, customers, banking executives, regulators and activist groups. First, the authors show that in addition to customers, analysts and the financial market appreciates bank CSR strengths. Second, despite sophisticated financial reporting by banks, analysts correctly distinguish and construe bank CSR strengths. Third, the authors demonstrate a method for bank marketing researchers to validate genuine bank CSR activity, as well as provide additional support for customer related bank CSR outcomes. Fourth, the findings highlight the importance for banks to have high-quality CSR reporting. This might be especially helpful to a bank rebuilding its reputation after a CSR failure. Finally, this investigation using US banks could serve as a precursor for future bank CSR research and help develop CSR reporting guidelines for banks in emerging economies.

This paper aims to investigate the impact of the underwriters’ syndicate size (SS) and its structure on underpricing (UP), oversubscription rate, liquidity and volatility. The authors use a database of 185 initial public offers (IPOs) issued in India during the period 2012–2019.

The authors have used ordinary least squares regression and stepwise regression on cross-sectional data to construct the regression model for the dependent variables under consideration, namely, UP, subscription rate (SUB), listing day volatility and listing day liquidity.

The authors find that larger syndicates reduce UP. The authors also find strong evidence of a larger subscription rate for IPOs managed by larger syndicates, suggesting that larger syndicates generate more information in the market. Looking into the composition of investment banks in the syndicate, the authors find that syndicates comprising more lead managers and comanagers attract a higher subscription from potential investors. More book running lead managers and nonmanaging syndicate members help increase liquidity and reduce the volatility of IPO stocks on listing day. Additionally, the authors find that larger firms with reputed lead managers establish larger syndicates while venture-affiliated IPO firms prefer a smaller syndicate.

The findings would interest issuing firms, investors, intermediaries and policymakers engaged in formulating syndicates for better management of IPOs.

The study extends the present literature on IPO syndicates, particularly in the Indian context as an emerging economy. The study extended the present understanding of SS and composition, creating value for the issuers.

This study aims to investigate the impact of country-level corruption and firms’ anti-bribery policies on analyst coverage. Analyst coverage has been identified as a powerful tool to detect fraud and should equally act as a possible tool to reduce corruption.

This study used a negative binomial count regression method on a longitudinal data set of a sample of S&P Global 1200 companies for the years 2010-2015. To control for potential endogeneity bias and improve the reliability of the estimation, both country-level corruption and firms’ anti-bribery policies variables were instrumented.

After controlling potential endogeneity bias, the results show that the adoption of anti-bribery policies at firm level attracts more analysts to follow a firm. The results for corruption at country level show that analyst coverage increases in less corrupted countries indicating that the costs of corruption exceed its potential benefits. When the variables corruption at country level and anti-bribery policies are interacted, the relationship is positive and highly significant.

Given the potential important role played by anti-corruption measures, firms are encouraged to adopt them to reduce the incidence of corruption and to increase analyst coverage, which will reinforce the benign effect of monitoring.

Although the literature on corruption at the country level is rich, it is geared towards the determinants of corruption in contrast to its consequences, and fewer studies have focused on the impact of corruption at firm level because of data limitations. This paper addresses this gap and contributes to the literature on the consequences of corruption at firm level.

India is set to develop a hundred smart cities under Smart Cities Mission (SCM). New Special Purpose Vehicles (SPV) established at the city level are developing these cities. Cities around the globe do not use this system for city development yet. SCM was launched in 2015, and these companies are working in some of these cities since 2016. This paper is an attempt to investigate the traditional system and SPV system with global best practices.

The method for investigation includes developing a framework with the governance principles (defined by the United Nations Development Programme) and measurement parameters. By this framework, the performance of these governance systems can be measured/ranked; analysing these results give the nodal points where one system is better than the other and highlighting features; those can be incorporated to develop an alternative comprehensive system.

The new service delivery mechanism (SPV) is still adapting and competing with the traditional system. There have been some positives as well as some criticism for SPVs in comparison to the traditional system.

The data for analysis is mostly from secondary sources and structured official interviews. The cases selected for the analysis are cities from different states of India and some leading global cities.

Smart cities development is still going on. As the analysis findings suggest, it needs a more efficient and converged implementation mechanism.

The analysis framework is solely developed for this paper. The paper compares five of the Indian traditional city development process, SCM implementation strategy and leading city development processes around the world.