Nikhil Rastogi and Satish Kumar
The purpose of this paper is to examine the impact of bankruptcy reform in the year 2016 on the relation between leverage and firm performance for Indian firms, separately for…
Abstract
Purpose
The purpose of this paper is to examine the impact of bankruptcy reform in the year 2016 on the relation between leverage and firm performance for Indian firms, separately for business group and standalone firms.
Design/methodology/approach
Fixed effects panel regression is used to understand the role of bankruptcy reform on firm-level data to examine the relationship between leverage and firm performance after controlling for size, growth, age, liquidity and promoter shareholding. The authors also apply the generalized method of moments (GMM) to control for the endogeneity concerns.
Findings
The authors show that the introduction of the insolvency and bankruptcy code (IBC) positively moderates the relation between leverage and firm performance such that the extent of negative relation between leverage and firm performance is less in the post-IBC period. The positive impact of IBC on the relation between leverage and firm performance holds only for firms not affiliated to business groups and for firms with higher debt in their capital structure.
Practical implications
The study’s findings will help the regulators appreciate the effectiveness of bankruptcy reforms resulting from IBC implementation in terms of sound bankruptcy process and leading to safeguard the interests of minority shareholders.
Originality/value
The authors provide the only study to examine the role of bankruptcy law in moderating the relation between leverage and firm performance across a sample of business group and standalone firms.
Details
Keywords
Nikhil Rastogi, V.N. Reddy and Kiran Kumar Kotha
The purpose of this paper is to study the empirical relationship between order imbalance and returns in the backdrop of structural changes in the Indian market.
Abstract
Purpose
The purpose of this paper is to study the empirical relationship between order imbalance and returns in the backdrop of structural changes in the Indian market.
Design/methodology/approach
The study makes use of hypothesis testing and dummy variable regression to investigate the relationship between order imbalance and returns during the period 1999‐2005, which saw definitive change in the structure of the Indian markets.
Findings
Order imbalance (buying or selling pressure) has significantly reduced post the structural reforms at the daily as well as intra‐day intervals across trade, as well as value measures of order imbalance. After controlling for the number of transactions, order imbalance and return correlations have fallen in the post‐2002 period as compared to the pre‐2002 period, at daily as well as intra‐day intervals. Further, after controlling for past high and low returns, order imbalance exhibits day of the week effect in the pre‐2002 period while no such effect is seen in the post‐2002 period.
Originality/value
The work brings out order imbalance and returns relationship for the Indian market, which has different structure from that of many developed, as well as developing, markets in the backdrop of changes in its own structure. This would provide a richer literature in the area of market structure and design.
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Keywords
Parvathy S. Nair, Atul Shiva, Nikhil Yadav and Priyanka Tandon
The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how…
Abstract
Purpose
The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.
Design/methodology/approach
The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.
Findings
The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.
Research limitations/implications
The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.
Practical implications
The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.
Originality/value
This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.