1. |
- A. Almaqtari, Faozi, et al.
(author)
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Earning management estimation and prediction using machine learning: A systematic review of processing methods and synthesis for future research
- 2021
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In: 2021 International Conference on Technological Advancements and Innovations (ICTAI). - : IEEE. - 9781665420884 - 9781665420877 ; , s. 291-298
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Conference paper (peer-reviewed)abstract
- The present study highlights earning management optimization possibilities to constrain the events of earning management and financial fraud. Our study investigates the existing stock of knowledge and strand literature available on earning management and fraud detection. It aims to review systematically the methods and techniques used by prior research to determine earning management and fraud detection. The results indicate that prior research in earning management optimization is diverged among several techniques and none of these techniques has provided an ideal optimization for earning management. Further, the results reveal that earning management determinants are complex based on the type and size of business entities which complicate the optimization possibilities. The current research brings useful insights for predicting and optimization of earnings management and financial fraud. The present study has significant implications for policymakers, stock markets, auditors, investors, analysts, and professionals.
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2. |
- Almaqtari, Faozi A., et al.
(author)
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The effect of corporate governance on compliance with indian accounting standards : An empirical analysis of post ifrs convergence
- 2021
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In: Journal of Governance and Regulation. - USA : Virtus InterPress. - 2220-9352 .- 2306-6784. ; 10:4, s. 40-58
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Journal article (peer-reviewed)abstract
- This study explores the impact of corporate governance mechanisms (CGMs) of compliance with Indian Accounting Standards (Ind-AS). A sample of 70 firms listed on Bombay Stock Exchange (BSE) over a period of two years from 2016–2017 to 2017–2018 was used. The results revealed that board independence, size, expertise, size of the audit committee, expertise and independence exhibit a significant influence on compliance with Ind-AS. However, no significant effect was found regarding the board and audit committee diligence, foreign ownership and audit quality by Big-Four. The current study fills an existing gap in compliance of accounting standards and corporate governance literature in the context of the emergent market. It uses a methodology of comprehensive compliance index to evaluate the level of disclosure of Ind-AS that could generalize the results and benefit other listed firms. Finally, as a practical contribution, the present study brings useful insights and empirical evidence which are very beneficial and are of significant importance to investors, practitioners, academicians and policymakers. It is considered as one of the pioneering studies in this context and a battery for further research. The study recommends that more prominence should be given to compliance with Ind-AS and an overseeing body for compliance with Ind-AS should be created.
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3. |
- Gupta, Isha, et al.
(author)
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The Impact of Merger and Acquisition on Value Creation : An Empirical Evidence
- 2021
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In: The Importance of New Technologies and Entrepreneurship in Business Development. - Cham : Springer. - 9783030692216 - 9783030692209 ; , s. 1435-1456
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Book chapter (peer-reviewed)abstract
- The aim of this paper is to examine the impact of post merger and acquisitions on value creation. The paper also analyses the impact of lagged synergy (a proxy of sales growth) on the post merger and acquisition (M&A) performance of acquiring firms. The study employs System Generalised Method of Moment model (System GMM) to the panel dataset of 64 Indian firms from 2012 to 2018 to determine the synergy impacts and value creation post merger and acquisition (M&A). The outcome of the study signs that mergers create positive value for post merger acquiring firms, and lagged synergy influences future synergies positively. The lagged dependent variable synergy (p-value is 0.000) shows a significant positive effect on dependent variable synergy, which indicates that previous year sales of the firm have a positive effect on future year sales. If the acquisition of firm post merger and acquisition (M&A) effectively absorbs acquired firm resources and digests nutrition from those resources, then the value can be created, and synergy can be achieved, or at least not damaged. Corporate managers, policy makers and regulators can lure significant conclusions from the outcomes of the study. This study for managers concludes that a strong view of possible synergies that can be accomplished through mergers, timelines and processes to achieve them, all of which will aid in the post merger integration process. This knowledge and understanding also helps to optimise the effect of lagged synergies. The results have also important consequences for academics and give impetus to further research. Future research can be undertaken by comprising premiums paid, cross borders mergers, hostile or friendly mergers that may shed some supplementary insights. This paper contributes to value addition in the literature of post M&A as it analyses value creation and effect of lagged synergy in terms of sales. There are limited studies that observed the relationship of value creation and merger and acquisition (M&A), especially in the context of Indian sectors; moreover, this paper takes into consideration different sectors viz. Manufacturing, Mining, Electricity, Construction, Service and Real Estate which gives a holistic view of Indian sectors.
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4. |
- Jimenez, Antonio M. Jimenez, et al.
(author)
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An adapted European LeukemiaNet genetic risk stratification for acute myeloid leukemia patients undergoing allogeneic hematopoietic cell transplant. A CIBMTR analysis
- 2021
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In: Bone Marrow Transplantation. - : Springer Nature. - 0268-3369 .- 1476-5365. ; 56:12, s. 3068-3077
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Journal article (peer-reviewed)abstract
- Cytogenetic and molecular abnormalities are known to influence post-transplant outcomes in acute myeloid leukemia (AML) but data assessing the prognostic value of combined genetic models in the HCT setting are limited. We developed an adapted European LeukemiaNet (aELN) risk classification based on available genetic data reported to the Center for International Blood and Marrow Transplant Research, to predict post-transplant outcomes in 2289 adult AML patients transplanted in first remission, between 2013 and 2017. Patients were stratified according to aELN into three groups: favorable (Fav, N = 181), intermediate (IM, N = 1185), and adverse (Adv, N = 923). Univariate analysis demonstrated significant differences in 2-year overall survival (OS) (Fav: 67.7%, IM: 64.9% and Adv: 53.9%; p < 0.001); disease-free survival (DFS) (Fav: 57.8%, IM: 55.5% and Adv: 45.3; p < 0.001) and relapse (Fav: 28%, IM: 27.5% and Adv: 37.5%; p < 0.001). Multivariate analysis (MVA) revealed no differences in outcomes between the Fav and IM groups, thus they were combined. On MVA, patients in the Adv risk group had the highest risk of relapse (HR 1.47 p <= 0.001) and inferior DFS (HR 1.35 p < 0.001) and OS (HR 1.39 p < 0.001), even using myeloablative conditioning or in those without the pre-HCT measurable-residual disease. Novel approaches to mitigate relapse in this high-risk group are urgently needed.
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5. |
- Mishra, Nandita, et al.
(author)
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Predicting Financial Distress in the Indian Banking Sector: A Comparative Study Between the Logistic Regression, LDA and ANN Models
- 2021
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In: Global Business Review. - : SAGE PUBLICATIONS LTD. - 0972-1509 .- 0973-0664.
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Journal article (peer-reviewed)abstract
- Financial distress is a socially and economically significant issue that affects almost every firm across the world. Predicting financial distress in the banking industry can substantially aid in the reduction of losses and can help avoid misallocation of banks financial resources. Models for financial distress prediction of banks are being increasingly employed as important tools to identify early warning signals for the whole banking system. This study attempts to forecast the financial distress of commercial banks by developing a bankruptcy prediction model for banks. The sample size for the study is 75 Indian banks. Logistic, linear discriminant analysis (LDA) and artificial neural network (ANN) models have been applied on the last 5 years (2015-2019) data of these banks. Data analysis results reveal the logistic and LDA models exhibiting similar prediction accuracy. The results of the ANN prediction model exhibit better prediction accuracy. It is expected that the results of this study will be useful for managers, depositors, regulatory bodies and shareholders to better manage their interests in the banking sector of the country.
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6. |
- Mishra, Nandita, et al.
(author)
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Relationship between intellectual capital and firm performance : evidence from India
- 2021
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In: International Journal of Critical Accounting (IJCA). - Geneva, Switzerland : InderScience Publishers. - 1757-9848 .- 1757-9856. ; 12:5, s. 403-428
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Journal article (peer-reviewed)abstract
- The purpose of this study is to examine the effect of intellectual capital on its component of firm’s financial performance and market valuation. It also draws a comparison between service and manufacturing sector. The study applies panel data analysis for examining the effect of IC on financial performance and a primary survey is conducted to understand the impact of components of IC namely, human capital, structural capital and relational capital on firms’ organisational performance. Understanding the components of IC as the vital drivers of organisational effectiveness helps a company to derive the full value from them. The importance of various aspects of IC can be extracted from this research will provide opportunity for strategic approaches and reveals the correct path for efficient and suitable management of resource. This study offers a critical review of the impact of IC on firm’s performance and the components which will have more impact on organisational performance.
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7. |
- Mishra, Nandita, et al.
(author)
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Rising Eminence of Sustainability Reporting : Evidence from India
- 2021
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In: The Importance of New Technologies and Entrepreneurship in Business Development. - Cham : Springer. - 9783030692216 - 9783030692209 ; , s. 246-260
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Book chapter (peer-reviewed)abstract
- This paper is an attempt to examine the sustainability reporting practices of the top 40 public & private Indian companies (as per the ET-500 list). Using NVivo software, each company’s overall disclosure index is calculated on seven identified parameters. The study is conducted by applying content analysis on the past two-year’s annual reports of all the companies. To identify substantial variation in public and private company’s disclosure norms, the Mann-Whitney U test was applied for statistical analysis. Results indicate a significant difference in disclosure of environmental, human rights, social performance, society, product responsibility, and six capitals. Public sector companies are found to be more inclined in societal disclosures while the private sector companies are more inclined towards social responsibility. Environmental disclosures exhibit higher values for public companies and social performance indicators display higher values for private sector companies.
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8. |
- Yadav, Miklesh Prasad, et al.
(author)
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Empirical Relationship Between Macroeconomic Variables and Stock Market: Evidence from India
- 2021
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In: Management and Labour Studies. - : SAGE Publications India. - 0258-042X .- 2321-0710. ; 47:1, s. 119-129
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Journal article (peer-reviewed)abstract
- This study investigates the relationship between the Indian stock market price behaviour and macro-economic variables. The proxy for the Indian stock market is the BSESENSEX while Foreign Reserve, Exchange Rate (Indian vs. US Dollar) and CPI are proxies for the macroeconomic variables. The Johansen Cointegration Test and the Vector Error Correction Model (VECM) on monthly data collected from websites of Reserve Bank of India and Bombay Stock Exchange within the time period of January 2000 and February 2020 have been applied. We observe a contradiction between the results of trace statistics and the maximal eigenvalue of the Johansen Cointegration. The -trace statistics of cointegration allude to the long-run association between the Indian stock market and its constituent macroeconomic vari-ables. The VECM is then applied to examine the long-run and short-run causalities and the results reveal the same. This study has profound implications for investors to diversify their portfolio, considering the impact of the constituent selected macroeconomic variables in the short run and long run
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