puja kumari - Academia.edu (original) (raw)
Papers by puja kumari
Revista de Științe Politice. Revue des Sciences Politiques, 2023
MSMEs in India play a substantial role in the growth of country's economy, contributing 30% to it... more MSMEs in India play a substantial role in the growth of country's economy, contributing 30% to its GDP. The Micro, Small & Medium Enterprises or MSMEs in India employees over 11.10 crore people and facilitates in employment generation. These enterprises are involved in the production of over 6000 different items, showcasing their diverse range of economic activities. However, despite their significant contributions, Indian MSMEs face a major obstacle in the form of lack of finance. Along with the financial problem, due to many other challenges, micro-enterprises are struggling for their growth and development. To overcome the problem of financial support, the Government of India launched the MUDRA (Micro Units Development and Refinance Agency) Scheme to provide financial assistance and support to MSMEs on April 8, 2015. The seven sister states are the neighboring states of Arunachal Pradesh, Assam, Meghalaya, Manipur, Mizoram, Nagaland and Tripurain north eastern India. However, the region has a blessed strategic location and abundant resources with specialties of production from each state. Indeed, the people of the region can take advantage to a greater extent by utilizing the available resources and promoting the MSME. Thus, This research paper aims to critically evaluate the performance of the MUDRA scheme in India since its inception. Additionally, the paper aims to evaluate the state-wise number of accounts and disbursement amount under Shishu, Kishore and Tarun under Mudra Scheme across all 7 Northern East states of India. The study covers the period from 2015-16 to 2021-22. The analysis is based on secondary data, collected from the annual report of 2022-2023 generated by the Ministry of MSME, GOI. The application of
ANOVA demonstrated a significant difference in the average number of accounts under
Shishu, Kishore and Tarun under the Mudra Scheme across all 7 Northern East states of
India from 2015-2016 to 2021-2022. Conversely, the analysis did not indicate a
significant difference in the Average disbursement amount under Shishu, Kishore and
Tarun under MUDRA Scheme across all 7 Northern East states of India during 2015-
2016 to 2021-2022.
ANNALS OF THE “CONSTANTIN BRÂNCUȘI” UNIVERSITY OF TÂRGU JIU LETTER AND SOCIAL SCIENCE SERIES, 2024
KHADI AND VILLAGE INDUSTRIES IS A MAJOR WING IN MSMES. THE PRESENT STUDY IS ANALYTICAL IN NATURE... more KHADI AND VILLAGE INDUSTRIES IS A MAJOR WING IN MSMES. THE PRESENT
STUDY IS ANALYTICAL IN NATURE AND IS ENTIRELY BASED ON SECONDARY
DATA. SECONDARY DATA RELATED TO THE PRODUCTION, SALES AND
EMPLOYMENT OF KHADI& VILLAGE INDUSTRIES OF INDIA ARE COLLECTED
FROM THE VARIOUS ANNUAL REPORTS OF MSMES GENERATED BY THE
MINISTRY OF MSME, GOVERNMENT OF INDIA AND ANNUAL REPORTS OF
KHADI AND VILLAGE INDUSTRIES COMMISSION (KVIC). THE ANNUAL
REPORTS OF THE MSME SECTOR FROM 2010-11 TO 2020-21 HAS BEEN
ANALYZED AND EVALUATED TO DRAW THE CONCLUSION. THE PURPOSE OF
THIS STUDY IS TO ANALYSE THE GROWTH AND DEVELOPMENT OF KHADI AND
VILLAGE INDUSTRIAL SECTOR IN TERMS OF PRODUCTION, SALES AND
EMPLOYMENT GENERATION. AS WELL AS IT STUDIES THE BUDGET SUPPORT
TO THE KVIC SECTOR BY THE GOVERNMENT. DATA INDICATE THAT THE KVI
SECTOR MADE A MAJOR CONTRIBUTION TO EMPLOYMENT. HOWEVER, THIS SECTOR IS PERFORMING WELL, WITH INCREASING PRODUCTION AND SALES.
COMPARED TO OTHER INDUSTRIES, THE KVI GROWTH IS SLOWER THAN
OTHER SECTOR INDUSTRIES. IN THE KHADI SECTOR, EMPLOYMENT IS LOWER
THAN AVERAGE. IT IS REPORTED THAT ALMOST 95% OF THE YEARLY
BUDGET'S MONEY HAVE BEEN DISBURSED. FOR CALCULATION OF RESULTS
OF CORRELATION HAS BEEN USED AND CONCLUDED THAT PRODUCTION
AND SALES KHADI SECTOR AND VILLAGE INDUSTRY IS POSITIVELY HIGHLY
CORRELATED. TO IMPROVE THE RURAL ECONOMY AND CREATE JOBS IN
RURAL REGIONS, THE GOVERNMENT HAS TAKEN A NUMBER OF STEPS IN THE
DIRECTION OF THE KVI SECTOR. DESPITE THE FIERCE COMPETITION, THE
ENTIRE PERFORMANCE OF KHADI AND VILLAGE INDUSTRIAL SECTOR HAS
BEEN OUTSTANDING. SALES AND PRODUCTION ARE ENCOURAGED BY THE
KHADI AND VILLAGE INDUSTRIAL COMMISSION THROUGH THE
IMPLEMENTATION OF SEVERAL PLANS FOR THE KVI SECTOR.
ANNALS OF THE “CONSTANTIN BRÂNCUȘI” UNIVERSITY OF TÂRGU JIU LETTER AND SOCIAL SCIENCE SERIES, 2024
IN THE STOCK MARKET, VOLATILITY IS A TERM USED TO DESCRIBE THE DEGREE TO WHICH THE PRICES OF ASS... more IN THE STOCK MARKET, VOLATILITY IS A TERM USED TO DESCRIBE THE
DEGREE TO WHICH THE PRICES OF ASSETS FLUCTUATE AND DETERMINES
THE DEGREE OF RISK OR UNCERTAINTY. THE MAIN AIM OF THE PRESENT
STUDY IS TO MODELING THE BEHAVIOR OF THE SWITZERLAND STOCK
MARKET USING DATA FROM 4TH JANUARY, 2000 TO 9TH NOVEMBER, 2023.
THROUGH THE APPLICATION OF GARCH FAMILY MODELS WHICH, INCLUDE
GARCH/TARCH, EGARCH, COMPONENT ARCH (1,1), AND PARCH. THE STUDY
USED A SAMPLE NUMBER OF 5994 DAILY OBSERVATIONS FOR SWISS STOCK
INDEX REPRESENTING THE SWITZERLAND STOCK MARKET. WE USED SOME
STATISTICAL TECHNIQUES SUCH AS PHILLIPS-PERRON AND AUGMENTED
DICKEY FULLER TESTS STATISTIC. THE ARCH LAGRANGE MULTIPLIER (LM)
TEST, PARCH MODEL. WE UTILIZED THE EVIEWS 12 ECONOMETRICS
PACKAGE. THIS STUDY HIGHLIGHTS THE SIGNIFICANCE OF ACCURATELY
AND METICULOUSLY SIMULATING STOCK MARKET BEHAVIOR IN ADDITION TO ADDING TO THE CORPUS OF KNOWLEDGE IN FINANCIAL
ECONOMETRICS. THE CONCLUSIONS AND METHODS DISCUSSED IN THIS
STUDY PROVIDE A STRONG BASIS FOR FURTHER RESEARCH, ENHANCING
OUR CAPACITY TO PREDICT MARKET MOVEMENTS AND MAKE WISE CHOICES
IN A VOLATILE FINANCIAL ENVIRONMENT.
Each country's banking system plays a crucial role in its economic development. Without a sound b... more Each country's banking system plays a crucial role in its economic development. Without a sound banking system, no economy can exist. In the current banking environment, due to the increasing complexity of the banking system financial performance evaluation is becoming increasingly important. Thus, the financial health of banks has been regularly evaluated. The present study focuses on the performance appraisal of five public sector banks i.e., SBI, Bank of Baroda, Canara Bank, PNB and Union Bank. Regression Analysis, WACC, and CAMEL Model are some of the tools used to measure bank's performance via., CAMEL parameters this evaluation has been done. This is a well-established method of comparing the performance of financial institutions as well as banks. This way of evaluating banks' performance is widely recognized. This model evaluates a bank's performance based on several factors, including capital sufficiency, asset quality, management, earnings, and liquidity. To determine capital adequacy in the current research, we took into account: Capital Adequacy Ratio and Government Securities to Total Investments Ratio. To measure asset quality we considered: Total Investment to Total Assets and Net NPA Ratio. To measure Management efficiency we considered: Business per employee and Profit per employee. To measure earnings quality we considered: EPS (Earnings per share); Operating Profit to Average Working Funds and Dividend payout ratio. To measure liquidity we considered: Investment to total deposits and Government securities to total deposits. The study has considered a period of six years i.e., from 2017 to 2022. The primary objective of the present study is to focus on the performance appraisal of five Indian banks all the banks are public sector banks viz., SBI, Bank of Baroda, Canara Bank, PNB and Union Bank. Apart from that, this study also gives a ranking with the help of the overall performance of banks. This study has used secondary data sourced from annual reports of Banks and also taken help from few websites. Various financial ratios and averages have been used to analyze the information collected.
Banks and Bank Systems, 2022
The study aims to determine the impact of Capital Adequacy Ratio, Credit Losses Ratio and Efficie... more The study aims to determine the impact of Capital Adequacy Ratio, Credit Losses Ratio and Efficiency Ratio on the two significant profitability ratios, namely Return on Assets (ROA) and Return on Equity (ROE), during the pandemic. Panel Data Regression is used to model the effects of Capital Adequacy, Credit Losses and Efficiency Ratio on Return on Assets and Return on Equity of Indian banks. A suitable model has been developed by analyzing the results of the Hausman test and the p-values. It has been found that Capital Adequacy Ratio (CAR) with coefficient value of –0.664, CET1 with coefficient value of 1.83 and efficiency ratio with coefficient value of 1.825 have significantly affected the return on assets as their p-values are less than 0.05. However, the accepted relationship between CAR and ROA, efficiency ratio and ROA were inverse, but their coefficients were significant. The provision for credit losses (PCL) was not affecting the ROA significantly during the pandemic and he...
LLC “Consulting Publishing Company “Business Perspectives”, 2022
(2022). Modelling the effects of capital adequacy, credit losses, and efficiency ratio on return ... more (2022). Modelling the effects of capital adequacy, credit losses, and efficiency ratio on return on assets and return on equity of banks during COVID-19 pandemic. Banks and Bank Systems, 17(1), 115-124.
Banks and Bank Systems, 2022
The study aims to determine the impact of the Capital Adequacy Ratio, Credit Losses Ratio, and Ef... more The study aims to determine the impact of the Capital Adequacy Ratio, Credit Losses Ratio, and Efficiency Ratio on the two significant profitability ratios, namely Return on Assets (ROA) and Return on Equity (ROE), during the pandemic. Panel Data Regression is used to model the effects of Capital Adequacy, Credit Losses, and Efficiency Ratio on Return on Assets and Return on Equity of Indian banks. A suitable model has been developed by analyzing the results of the Hausman test and the p-values. It has been found that the Capital Adequacy Ratio (CAR) with a coefficient value of –0.664, CET1 with a coefficient value of 1.83, and efficiency ratio with a coefficient value of 1.825 has significantly affected the return on assets as their p-values are less than 0.05. However, the accepted relationship between CAR and ROA, efficiency ratio, and ROA were inverse, but their coefficients were significant. The provision for credit losses (PCL) was not affecting the ROA significantly during the pandemic and hence was not considered while framing the model. Again, the dependent variable is the return on equity, except CAR. Other ratios, i.e., CET1, efficiency ratio, and PCL ratio have unacceptable correlations and are even non-significant as their p-values are less than 0.05.
Revista de Științe Politice. Revue des Sciences Politiques, 2023
MSMEs in India play a substantial role in the growth of country's economy, contributing 30% to it... more MSMEs in India play a substantial role in the growth of country's economy, contributing 30% to its GDP. The Micro, Small & Medium Enterprises or MSMEs in India employees over 11.10 crore people and facilitates in employment generation. These enterprises are involved in the production of over 6000 different items, showcasing their diverse range of economic activities. However, despite their significant contributions, Indian MSMEs face a major obstacle in the form of lack of finance. Along with the financial problem, due to many other challenges, micro-enterprises are struggling for their growth and development. To overcome the problem of financial support, the Government of India launched the MUDRA (Micro Units Development and Refinance Agency) Scheme to provide financial assistance and support to MSMEs on April 8, 2015. The seven sister states are the neighboring states of Arunachal Pradesh, Assam, Meghalaya, Manipur, Mizoram, Nagaland and Tripurain north eastern India. However, the region has a blessed strategic location and abundant resources with specialties of production from each state. Indeed, the people of the region can take advantage to a greater extent by utilizing the available resources and promoting the MSME. Thus, This research paper aims to critically evaluate the performance of the MUDRA scheme in India since its inception. Additionally, the paper aims to evaluate the state-wise number of accounts and disbursement amount under Shishu, Kishore and Tarun under Mudra Scheme across all 7 Northern East states of India. The study covers the period from 2015-16 to 2021-22. The analysis is based on secondary data, collected from the annual report of 2022-2023 generated by the Ministry of MSME, GOI. The application of
ANOVA demonstrated a significant difference in the average number of accounts under
Shishu, Kishore and Tarun under the Mudra Scheme across all 7 Northern East states of
India from 2015-2016 to 2021-2022. Conversely, the analysis did not indicate a
significant difference in the Average disbursement amount under Shishu, Kishore and
Tarun under MUDRA Scheme across all 7 Northern East states of India during 2015-
2016 to 2021-2022.
ANNALS OF THE “CONSTANTIN BRÂNCUȘI” UNIVERSITY OF TÂRGU JIU LETTER AND SOCIAL SCIENCE SERIES, 2024
KHADI AND VILLAGE INDUSTRIES IS A MAJOR WING IN MSMES. THE PRESENT STUDY IS ANALYTICAL IN NATURE... more KHADI AND VILLAGE INDUSTRIES IS A MAJOR WING IN MSMES. THE PRESENT
STUDY IS ANALYTICAL IN NATURE AND IS ENTIRELY BASED ON SECONDARY
DATA. SECONDARY DATA RELATED TO THE PRODUCTION, SALES AND
EMPLOYMENT OF KHADI& VILLAGE INDUSTRIES OF INDIA ARE COLLECTED
FROM THE VARIOUS ANNUAL REPORTS OF MSMES GENERATED BY THE
MINISTRY OF MSME, GOVERNMENT OF INDIA AND ANNUAL REPORTS OF
KHADI AND VILLAGE INDUSTRIES COMMISSION (KVIC). THE ANNUAL
REPORTS OF THE MSME SECTOR FROM 2010-11 TO 2020-21 HAS BEEN
ANALYZED AND EVALUATED TO DRAW THE CONCLUSION. THE PURPOSE OF
THIS STUDY IS TO ANALYSE THE GROWTH AND DEVELOPMENT OF KHADI AND
VILLAGE INDUSTRIAL SECTOR IN TERMS OF PRODUCTION, SALES AND
EMPLOYMENT GENERATION. AS WELL AS IT STUDIES THE BUDGET SUPPORT
TO THE KVIC SECTOR BY THE GOVERNMENT. DATA INDICATE THAT THE KVI
SECTOR MADE A MAJOR CONTRIBUTION TO EMPLOYMENT. HOWEVER, THIS SECTOR IS PERFORMING WELL, WITH INCREASING PRODUCTION AND SALES.
COMPARED TO OTHER INDUSTRIES, THE KVI GROWTH IS SLOWER THAN
OTHER SECTOR INDUSTRIES. IN THE KHADI SECTOR, EMPLOYMENT IS LOWER
THAN AVERAGE. IT IS REPORTED THAT ALMOST 95% OF THE YEARLY
BUDGET'S MONEY HAVE BEEN DISBURSED. FOR CALCULATION OF RESULTS
OF CORRELATION HAS BEEN USED AND CONCLUDED THAT PRODUCTION
AND SALES KHADI SECTOR AND VILLAGE INDUSTRY IS POSITIVELY HIGHLY
CORRELATED. TO IMPROVE THE RURAL ECONOMY AND CREATE JOBS IN
RURAL REGIONS, THE GOVERNMENT HAS TAKEN A NUMBER OF STEPS IN THE
DIRECTION OF THE KVI SECTOR. DESPITE THE FIERCE COMPETITION, THE
ENTIRE PERFORMANCE OF KHADI AND VILLAGE INDUSTRIAL SECTOR HAS
BEEN OUTSTANDING. SALES AND PRODUCTION ARE ENCOURAGED BY THE
KHADI AND VILLAGE INDUSTRIAL COMMISSION THROUGH THE
IMPLEMENTATION OF SEVERAL PLANS FOR THE KVI SECTOR.
ANNALS OF THE “CONSTANTIN BRÂNCUȘI” UNIVERSITY OF TÂRGU JIU LETTER AND SOCIAL SCIENCE SERIES, 2024
IN THE STOCK MARKET, VOLATILITY IS A TERM USED TO DESCRIBE THE DEGREE TO WHICH THE PRICES OF ASS... more IN THE STOCK MARKET, VOLATILITY IS A TERM USED TO DESCRIBE THE
DEGREE TO WHICH THE PRICES OF ASSETS FLUCTUATE AND DETERMINES
THE DEGREE OF RISK OR UNCERTAINTY. THE MAIN AIM OF THE PRESENT
STUDY IS TO MODELING THE BEHAVIOR OF THE SWITZERLAND STOCK
MARKET USING DATA FROM 4TH JANUARY, 2000 TO 9TH NOVEMBER, 2023.
THROUGH THE APPLICATION OF GARCH FAMILY MODELS WHICH, INCLUDE
GARCH/TARCH, EGARCH, COMPONENT ARCH (1,1), AND PARCH. THE STUDY
USED A SAMPLE NUMBER OF 5994 DAILY OBSERVATIONS FOR SWISS STOCK
INDEX REPRESENTING THE SWITZERLAND STOCK MARKET. WE USED SOME
STATISTICAL TECHNIQUES SUCH AS PHILLIPS-PERRON AND AUGMENTED
DICKEY FULLER TESTS STATISTIC. THE ARCH LAGRANGE MULTIPLIER (LM)
TEST, PARCH MODEL. WE UTILIZED THE EVIEWS 12 ECONOMETRICS
PACKAGE. THIS STUDY HIGHLIGHTS THE SIGNIFICANCE OF ACCURATELY
AND METICULOUSLY SIMULATING STOCK MARKET BEHAVIOR IN ADDITION TO ADDING TO THE CORPUS OF KNOWLEDGE IN FINANCIAL
ECONOMETRICS. THE CONCLUSIONS AND METHODS DISCUSSED IN THIS
STUDY PROVIDE A STRONG BASIS FOR FURTHER RESEARCH, ENHANCING
OUR CAPACITY TO PREDICT MARKET MOVEMENTS AND MAKE WISE CHOICES
IN A VOLATILE FINANCIAL ENVIRONMENT.
Each country's banking system plays a crucial role in its economic development. Without a sound b... more Each country's banking system plays a crucial role in its economic development. Without a sound banking system, no economy can exist. In the current banking environment, due to the increasing complexity of the banking system financial performance evaluation is becoming increasingly important. Thus, the financial health of banks has been regularly evaluated. The present study focuses on the performance appraisal of five public sector banks i.e., SBI, Bank of Baroda, Canara Bank, PNB and Union Bank. Regression Analysis, WACC, and CAMEL Model are some of the tools used to measure bank's performance via., CAMEL parameters this evaluation has been done. This is a well-established method of comparing the performance of financial institutions as well as banks. This way of evaluating banks' performance is widely recognized. This model evaluates a bank's performance based on several factors, including capital sufficiency, asset quality, management, earnings, and liquidity. To determine capital adequacy in the current research, we took into account: Capital Adequacy Ratio and Government Securities to Total Investments Ratio. To measure asset quality we considered: Total Investment to Total Assets and Net NPA Ratio. To measure Management efficiency we considered: Business per employee and Profit per employee. To measure earnings quality we considered: EPS (Earnings per share); Operating Profit to Average Working Funds and Dividend payout ratio. To measure liquidity we considered: Investment to total deposits and Government securities to total deposits. The study has considered a period of six years i.e., from 2017 to 2022. The primary objective of the present study is to focus on the performance appraisal of five Indian banks all the banks are public sector banks viz., SBI, Bank of Baroda, Canara Bank, PNB and Union Bank. Apart from that, this study also gives a ranking with the help of the overall performance of banks. This study has used secondary data sourced from annual reports of Banks and also taken help from few websites. Various financial ratios and averages have been used to analyze the information collected.
Banks and Bank Systems, 2022
The study aims to determine the impact of Capital Adequacy Ratio, Credit Losses Ratio and Efficie... more The study aims to determine the impact of Capital Adequacy Ratio, Credit Losses Ratio and Efficiency Ratio on the two significant profitability ratios, namely Return on Assets (ROA) and Return on Equity (ROE), during the pandemic. Panel Data Regression is used to model the effects of Capital Adequacy, Credit Losses and Efficiency Ratio on Return on Assets and Return on Equity of Indian banks. A suitable model has been developed by analyzing the results of the Hausman test and the p-values. It has been found that Capital Adequacy Ratio (CAR) with coefficient value of –0.664, CET1 with coefficient value of 1.83 and efficiency ratio with coefficient value of 1.825 have significantly affected the return on assets as their p-values are less than 0.05. However, the accepted relationship between CAR and ROA, efficiency ratio and ROA were inverse, but their coefficients were significant. The provision for credit losses (PCL) was not affecting the ROA significantly during the pandemic and he...
LLC “Consulting Publishing Company “Business Perspectives”, 2022
(2022). Modelling the effects of capital adequacy, credit losses, and efficiency ratio on return ... more (2022). Modelling the effects of capital adequacy, credit losses, and efficiency ratio on return on assets and return on equity of banks during COVID-19 pandemic. Banks and Bank Systems, 17(1), 115-124.
Banks and Bank Systems, 2022
The study aims to determine the impact of the Capital Adequacy Ratio, Credit Losses Ratio, and Ef... more The study aims to determine the impact of the Capital Adequacy Ratio, Credit Losses Ratio, and Efficiency Ratio on the two significant profitability ratios, namely Return on Assets (ROA) and Return on Equity (ROE), during the pandemic. Panel Data Regression is used to model the effects of Capital Adequacy, Credit Losses, and Efficiency Ratio on Return on Assets and Return on Equity of Indian banks. A suitable model has been developed by analyzing the results of the Hausman test and the p-values. It has been found that the Capital Adequacy Ratio (CAR) with a coefficient value of –0.664, CET1 with a coefficient value of 1.83, and efficiency ratio with a coefficient value of 1.825 has significantly affected the return on assets as their p-values are less than 0.05. However, the accepted relationship between CAR and ROA, efficiency ratio, and ROA were inverse, but their coefficients were significant. The provision for credit losses (PCL) was not affecting the ROA significantly during the pandemic and hence was not considered while framing the model. Again, the dependent variable is the return on equity, except CAR. Other ratios, i.e., CET1, efficiency ratio, and PCL ratio have unacceptable correlations and are even non-significant as their p-values are less than 0.05.