Post-mortem analysis of dirty dozen companies referred by Reserve Bank of India to insolvency and bankruptcy code

Puchakayala, N. V. V. Satyanarayana; Veluchamy, Ramanujam

doi:10.1007/s43546-023-00462-z

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Bank efficiency evaluation combined with artificial intelligence and big data technology: The rapid development of artificial intelligence and big data technology provides new opportunities for bank efficiency evaluation. Future research can explore how to use machine learning and data mining techniques to extract valuable information from huge bank data to more precisely evaluate bank efficiency and performance [8].…”

Section: Discussionmentioning

confidence: 99%

Bank Efficiency Evaluation and Bankruptcy Cause Analysis

Liu

2023

JAMC

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In the country's economic and social development, banks play an important role in decision-making. The bankruptcy of banks will have varying degrees of impact on enterprises and individuals. For the five tasks given in the title, this paper uses PCA combined with optimization algorithm projection pursuit evaluation + hierarchical clustering, variance analysis, machine learning algorithm, FCM clustering and error inspection model to solve the problem, and achieved relatively good results. Good solution. In order to evaluate the bank's efficiency and solve the dividing line of bank failure efficiency, use MATLAB to first reduce the dimension of up to 19,720 lines of big data to 5 using the PCA algorithm, and then use the projection pursuit algorithm combined with simulated annealing to calculate the optimal index weight, and then Further weighted to calculate the evaluation value; then use hierarchical clustering to aggregate the data into two categories, the midpoint between the center points of the two categories, the corresponding data is the cut-off point, and the connection line of each indicator data is the bank failure efficiency score. boundaries.

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Section: Discussionmentioning

confidence: 99%

Bank Efficiency Evaluation and Bankruptcy Cause Analysis

Liu

2023

JAMC

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Optimal bankruptcy regime: a literature review

Puchakayala,

Veluchamy

2023

Futur Bus J

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An optimal bankruptcy regime is one which avoids taking/giving loans during financial crisis, provides a provision for entrepreneurship, and further provides for achieving a maximum total value for the distressed firm. The present study is aimed at understanding the concept of optimal bankruptcy regime and its determinants in terms of merits and demerits. The study is purely of qualitative nature followed by the method of synthesis of 50 previous studies. The study concludes that the optimal bankruptcy regime that provides for the said three features is somehow or other helping economies to do well in terms of increased entrepreneurship, decreased number of liquidations, reduced NPAs’, and increased productive investments. It is also evident from several World Bank member countries that have opted for reorganisation of distressed businesses are experiencing the fruits of optimal bankruptcy regime in terms of achieving maximum value for the assets of distressed firms for about 71 cents on dollar and thereby entrepreneurship development.

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Post-mortem analysis of dirty dozen companies referred by Reserve Bank of India to insolvency and bankruptcy code

Cited by 2 publications

References 9 publications

Bank Efficiency Evaluation and Bankruptcy Cause Analysis

Bank Efficiency Evaluation and Bankruptcy Cause Analysis

Optimal bankruptcy regime: a literature review

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