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Record W2513721870 · doi:10.18843/rwjasc/v7i3/11

MERGERS AND ACQUISITIONS-THE GAME OF PROFIT AND LOSS: A STUDY OF INDIAN BANKING SECTOR

2016· article· en· W2513721870 on OpenAlexaboutno aff
Prof. Ritesh Patel -, D. O. Shah

Bibliographic record

VenueResearchers World – Journal of Arts Science & Commerce · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsMergers and acquisitionsMarket shareBusinessProductivityRevenueProfit maximizationProfit (economics)EconomicsIndustrial organizationFinanceMicroeconomics

Abstract

fetched live from OpenAlex

INTRODUCTION:The Indian banking sector is a spine of Indian economy. In the last few years, the Indian banking sector has made brisk growth in terms of revenue due to favourable factors, but few banks were not able to perform well. To improve performance, many banks were merged with other banks. Apart from this objective, the merger is to improve banking services, create operational and financial synergy, market share gain, value maximization, market expansion & creation of large identity. Among all this, the matter that needs much concern is how the merger affects the overall financial performance of banks.In 1980, merger and company performance was an important issue in front of management thinkers. An empirical study (Michael Lubatkin, 1983) has made an argument that merger results in improvement of the firm's performance. Studies in 90's have also examined the performance of the firm. (Healy, 1992) has studied the performance of firms using a sample of the 50 largest mergers between U.S. public, industrial firms completed in the period 1979 to 1983. A Study has revealed that after the merger, there was improvement in performance in terms of assets utilization, productivity and long-term investment. (Marcia, 1991) had analysed the post-merger financial performance of largest banks merged during 1982 to 1987& enhanced that after merger, assets growth and employee productivity has improved. Some argue that mergers and acquisitions activities create agency problems, resulting in less than optimal returns (Jensen, 1986) where as others argue that M&A create synergies that result into benefit for firm (Weston et al, 2004).This is a comprehensive review of the merger and firm's performance. Again, there is no systematic literature review of merger and firm's performance which has been measured from different parameters. Given the fact that, the merger and firm's performance has scope for further studies. Thus, there is a need to analyses pre & post-merger impact of merger on financial performance. Research Gap can be seen at various points in present studies where there are scope for further study. So, to fulfil this gap, this present study will address the Comparison of pre & post-merger financial performance using Economic Value Added (EVA). The main objective of this study is to Analyse the comparative position of pre & post-merger financial performance of selected banks.The remainder of this paper is organized as follows. Section 2 explains the theoretical background of different literature on merger and firm's performance. The methodology is presented in Section 3. Empirical evidence and discussion on data analysis is presented in Section 4. Conclusion is presented in section 5.Below given table 1 shows various merger happen in Indian banking industry.RESEARCH QUESTION:RQ. - Does the financial performance of all banks involved in merger gets improve after merger?LITERATURE REVIEW:Many researchers have analysed pre & post-merger performance of merged firm. Researchers from all over the world has taken various industries & carried out research work on merger & firm's performance. The detailed literature reviews are discussed for the merger happened in Canada, Dubai, Finland, France, Germany, Greece, Hungary, India, Ireland, Italy, Japan, Latvia, Lithuania, U.K & U.S.A. Some researchers have made an argument that mergers and acquisitions result in negative outcome (Jensen, 1986) where as others argues that M&A improves the firm's performance (Weston et al, 2004). Here, this section contains the Theoretical background on merger and firm's financial performance.Financial performance of firm refers to measurement that how well a firm can able to manage its assets for generation of revenue and profit. There are various measures to study the financial performance such as income, assets, profit and profitability ratios. …

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0070.005
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.125
GPT teacher head0.368
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2016
Admission routes1
Has abstractyes

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