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This paper aims to study the underpricing phenomenon of initial public offerings (IPOs) of 355 Indian companies issued from 2007 to 2019. The research question this paper empirically examines is whether Indian corporate executives deliberately underprice IPOs from its fair value to attract investors, thereby causing an abnormal spike in the prices on the listing day. The findings of this study challenge a commonly held notion of leaving money on the table by IPO issuing companies. Of the overall average listing day returns of 17%, the deliberate premarket underpricing component is found to be mere 5.3%, while the remaining price fluctuation is, inter alia, a result of market momentum along with the unmet demands of impatient investors.

Following Koop and Li (2001), this study uses Stochastic frontier model (SFM) to study a routine anomaly of disparity between the primary market price (i.e. IPO issue price) and the secondary market price (listing price). The jump in the issue price observed on a listing day is decomposed into deliberate premarket underpricing component that reflects the extent of managerial manipulation and the after-market misvaluation component attributable to information asymmetry and prevailing market volatility.

This paper uses SFM to bifurcate initial returns into deliberate underpricing by managers and after-market mispricing by noise traders. This study finds that a significant part of the initial return is explained through after-market mispricing. This study finds that average initial returns are 17%, deliberate premarket underpricing is 5.3% and after-market mispricing averages 11.9%.

This study can isolate underpricing done at the premarket by estimating a systematic one-sided error term that measures the maximum predicted issue price deviation from the offered price. Consequentially, the disaggregation of initial returns may be especially informative for retail investors in planning their exit strategy from an IPO by separating the strength of the firm's fundamentals and its causal relationship with the initial returns. Substantial proportion of after-market mispricing implies that future research should focus on factors causing after-market mispricing. As underlying causes are identified, tailor-made policy responses can be formulated to benefit investors.

This paper has empirically validated that initial return is a mix of both components, i.e. deliberate underpricing and aftermarket mispricing. This disaggregation of initial returns can prove helpful for investors in planning their exit strategy. This study can help investors to become more aware of the importance of the fundamentals of the firm and its causal relation with the initial returns. This information in turn can help reduce the information asymmetry amongst investors and help them lessen the costs of adverse selection.

A large number of research studies on IPO pricing find overwhelming evidence of underpricing in public issues. This research attempts to decompose the extent of underpricing into deliberate underpricing and after-market mispricing, thereby supplementing the existing literature on the IPO pricing puzzle. To the best of the authors’ knowledge, this study is the first contribution to the literature on initial return decomposition for the Indian capital markets.

Farmers producer organisations (FPOs) play the most crucial role in the agriculture supply chain system, aiming to redress the balance between farming and marketing activities of agricultural produce. The purpose of this study is to assess the performance of FPOs using data envelopment analysis (usually referred to as DEA) on 34 FPO units selected from the state of Rajasthan.

One of the most commonly used techniques to examine business performance is the application of DEA. The application of DEA requires the selection of inputs and outputs. This study takes three inputs and three outputs based on the insights drawn from the field survey. While the input variables consist of total assets, paid-up capital and the number of economic activities, the three output variables are turnover, net profit and number of members benefitted. Broadly, these variables encapsulate the operational performance of the business units.

This study’s findings reveal that the estimated relative efficiency score of the input-oriented CCR (Charnes, Cooper, and Rhodes) model ranges from 0.06 to 1. Interestingly, only one FPO has reported a relative efficiency (RE) score of one, whereas the remaining FPOs fall below the efficiency frontier. However, 15 FPOs report an RE score of one in the output-oriented CCR approach. Considering the estimates obtained in the input- and output-oriented BCC (Banker, Charnes and Cooper) models, this study found that about 20% of the FPOs report an efficiency score greater than 0.80. Moreover, three FPOs are on the frontier line. An examination of the scale efficiency score in the input-oriented model, 45% of the FPOs have an efficiency score greater than 0.80, whereas almost all FPOs achieve a scale efficiency score greater than 0.80 in the output-oriented model. Overall, the results imply that the FPOs should place greater emphasis on the efficient utilisation of the inputs to enhance the overall business performance and productivity.

The findings of this study provide vital insights into the specific inputs and outputs that determine the performance efficiency of FPOs and identify the potential areas for improving the existing inefficient FPOs.

This study contributes to the repository of the existing empirical studies in three distinct ways. First, the authors hardly found any previous studies that quantitatively assess the business performance of FPOs using the DEA technique. Second, the effort to identify the slacks associated with each input and output variable in input- and output-oriented models gives insights on improvable areas for inefficient FPOs. Third, the authors attempt to demystify the empirical obfuscations by highlighting the major challenges FPOs face in the state of Rajasthan.

The regulatory design of Indian stock market provides us with the opportunity to disaggregate initial returns into two categories, i.e. voluntary premarket underpricing and post market mispricing. This study explores the impact of investor attention on the disaggregated short-run returns and long-run performance of initial public offerings (IPOs).

The study employs regression techniques on the sample of IPOs listed from 2005 to 2019. It measures investor attention with the help of the Google Search Volume Index (GSVI) extracted from Google Trends. Along with GSVI, the subscription rate is used as a proxy to measure investor attention.

The empirical results suggest a positive and significant relationship between initial returns and investor attention, thus validating the attention theory for Indian IPOs. Furthermore, when the returns are analysed for a more extended period using buy-and-hold abnormal returns (BHARs), it was found that price reversal holds in the long run.

This study highlights the importance of information diffusion in the market. It emphasizes the behavioural tendency of the investors in the pre-market, which reduces the market efficiency. Hence, along with fundamentals, investor attention also plays an essential role in deciding the returns for an IPO.

According to the best of the authors’ knowledge, this is one of the first studies that has attempted to explore the influence of investor attention and its interplay with underpricing and long-run performance for IPOs of Indian markets.

The objective of this study is threefold–first, to develop a Regional Competitiveness Index (RCI) for measuring competitiveness of sub-national regions for India; second, to test this index for its ability to explain regional growth, which validates usage and applicability of this index; and third, to further investigate if the competitiveness of states is in turn caused by economic growth, i.e. it is tested if there is a bidirectional causality between competitiveness and regional growth.

The data of indicators used in the index are from sources available freely in public domain. The competitiveness index is constructed using equal weightage supported by principal component analysis (PCA) technique. The causal relationship analysis is done using panel data of 10 years from 2008 to 2017 for 32 Indian states/union territories. The generalized method of moments (GMMs) is used for this dynamic regression estimation.

Based on RCI score, states have been ranked and through rank analysis, the authors observe the performance status of these sub-national regions and are able to categorize them as improving, no change or deteriorating in regional competitiveness. Using the GMM estimation, the association between RCI and economic growth is found to be significant at 10% level. This shows that regional competitiveness as captured through the RCI score is able to explain regional economic growth and economic disparity among the sub-national units. Further, that RCI score is found to Granger-cause growth, while growth does not lead to better RCI scores. This establishes the usefulness of RCI as an important policy variable to compare states and provide direction for sectoral reforms.

The limitations of the study include (1) broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment, and (2) data constraints as it is a longitudinal study. The study implies that the composite index could capture differences in regional competitiveness explaining regional economic disparity and that competitiveness causes higher economic growth and not vice versa.

The RCI score can prove to be a useful indicator of economic performance of different states and can be used by national and state policymakers to compare and assess regional disparity among different states. The pillar-wise scores will be useful for in-depth study of weakness and strength of the sub-national territories.

Construction of an RCI for sub-national territories and analysis of panel data for longitudinal study of ten years is unique in the regional competitiveness literature.

The welfare impacts of the food security on the beneficiaries can be understood from multiple dimensions. This paper, thus, examines the impact of the India's National Food Security Act (NFSA) on the welfare of the beneficiary households from a multidimensional perspective.

The study is based on a sample household survey covering three different states of India. The stratified random sampling technique was used to select the states, districts and blocks. Sample villages and households were selected purposively. A total of 1,523 households comprising 1,069 beneficiary and 454 non-beneficiary households constituted the sample. In order to find out the impact of the programme on different dimensions of welfare, the endogenous switching regression model is employed as it helps control for any absence of randomization and the unobserved heterogeneity bias. Propensity score matching is also employed to supplement the results.

The substitution effect and income effect of the food subsidy policy combined improve the overall welfare of the households presented through the subjective measures of food consumption behaviour, income transfer and educational achievements. The bargaining effect of the food subsidy programme is reflected in the enhanced social status and women's empowerment. The food security programme seems to augment the food consumption of the beneficiaries as observed from the food consumption score.

The food security policy has improved the overall welfare of the households and can play a major role in enhancing household welfare even further. The non-beneficiaries' welfare could have increased if they would have been included in the food security programme. The subjective assessment may, however, be subjected to personal biases, and there is also absence of a common reference point. Hence, the implications of the findings may be generalized with caution.

This study provides evidences of the impacts of food subsidy from a multidimensional standpoint considering both subjective and objective dimensions of household welfare.

Although extensive empirical studies have been conducted on capital structure in the context of developed countries, few have been carried out on emerging markets using large pools of data with comprehensive modeling techniques. This paper examines the financial characteristics of Malaysian companies and their debt policies using data of 106 firms from 1992 to 1999. The results of pooled GLS regressions show that all types of debt (short‐term, long‐term, and total) are influenced by the variables for profitability, size, and tangibility—but not by growth, risk, and investment opportunity (market‐to‐book‐value ratio). Thus, the latter results are contrary to evidence from developed markets. However, when the data are classified into two sub‐periods, only in the first (1992–95) does the risk variable reveal the hypothesized positive influence on all debt ratios, reflecting Malaysia's economic uncertainty in the throes of the Asian financial crisis and implementation during the second sub‐period (1996–99) of the domestic capital control policy. Profitability has a persistent and consistent negative relationship with all types of debt ratios in both periods; this confirms the capital structure prediction of the pecking order theory in an emerging capital market.

The current study aims to evaluate the utilization of export incentives of the Indian Government. A model conceptualizing the relationships between incentive’s awareness, utilization, perception of utilization on export increase and overall performance was tested.

In total, 107 Indian exporters from the ten major exporting sectors of the Indian economy were chosen. The exporters within the sectors were chosen on the basis of the quota sampling technique. The top-most executive of the exporting house was interviewed using both structured questionnaire and in-depth method.

Results indicated that awareness impacted availing of incentives which led to the perception of enhanced export sales. Enhanced export sales led to the perception of an enhanced overall performance of the firm. Smaller firms believed more as compared to larger firms in the effect of export incentives on export sales growth. Recommendations have been provided to remove lacunae in various incentive schemes and improve utilizations.

The inability to extract firm-level financial data of the value of various schemes availed, exports sales increase, overall performance indicators is a limitation of the study.

The lack of awareness seemed to be the biggest roadblock for the Indian Government to make export incentive schemes successful. The Indian Government needs to customize the offerings of incentive schemes by incorporating the general perceptions of experts/users. Some less-used schemes can be done away with and some new schemes with less paperwork will be more useful.

There is scant literature in the Indian context on the study of export incentive schemes. There is even less empirical primary evidence available. This study is one of the first to provide a model for the utilization of export schemes and has great practical relevance for exporters and Indian Government alike.

This study aims to examine some of the commonly proposed deviants associated with the banking industry in the context of the capital structure puzzle. The paper considers the role of guarantees, information asymmetry and other frictional factors in the context of modern financial markets and examines whether these factors deserve special consideration in solving the capital structure puzzle for banks.

The authors adopt the argumentation theory model proposed by Toulmin (1958) as the methodological approach in this paper.

The findings from this paper demonstrate that any solution to the capital structure puzzle, whenever available, will also solve the capital structure puzzle for banks without additional efforts. The focus of future research should be on solving the generic capital structure puzzle for a universal set of firms rather than focusing on the banking industry as a subset with unique features.

The paper adopts a novel methodological approach offered by argumentation theory to pursue the enquiry. To the best of the knowledge, this paper is the first paper in the finance literature that uses argumentation theory to develop a theoretical construct. The finding from this study offers guidance for the proliferation of research paradigms in the capital structure puzzle.

This chapter focuses on the differences that younger, middle-aged, and older women with breast cancer experience, particularly in health knowledge and treatment. These differential experiences, in part, stem from our youth oriented culture. This ideology extends into medicine and can affect day-to-day medical practice. Differential experiences are, therefore, likely to result in inequality and disparity in health and in healthcare. It is argued that older women are less empowered than their younger counterparts to display the same degree of agency. This analysis has important implications for health care professionals in the treatment of older women with breast cancer.

The purpose of this paper is to investigate, from an undeveloped market perspective, the nature and significance of firm size as a determinant of corporate financial leverage.

A panel data fixed‐effects regression model is used to estimate the relationship between financial leverage and firm size, while controlling also for the effects of other acclaimed determinants like asset tangibility, profitability and firm age. The dataset used covers 71 firms quoted in the Nigerian stock markets over a 17‐year period (1990‐2006).

The study reveals that as much as 91.4 percent of the total finances of Nigerian‐quoted firms is of short‐term liabilities, with just 8.6 percent constituting long‐term liabilities. It finds that firm size is negatively and significantly related to financial leverage. Controlling for some other determinants, the arising results tend to confirm an over‐bearing influence of the pecking order theory in the financing patterns of Nigerian‐quoted firms – by revealing that the relationship between profitability and financial leverage is highly significant and negative; and that firm‐age is positively and significantly related to financial leverage.

Using data from a country with undeveloped and inefficient financial markets, this paper provides an important insight on the international debate on the effects of size on corporate decisions.