PurposeAnalysts expect reduced bank earnings as a result of the impact of the increase in bad loa... more PurposeAnalysts expect reduced bank earnings as a result of the impact of the increase in bad loans. Banks have strategically created high provision coverage ratios allocating large funds for possible deterioration in asset quality. Given the expected faster growth and recovery in the bank lending sector, investors have always been interested in banking stocks, despite the waves of non-performing assets (NPAs) and recessionary influences. Historical references reiterate that the banking stocks have been better performers in their returns compared to the capital markets.Design/methodology/approachThe study aims to examine the impact of key accounting variables on the stock prices of Indian banks in the panel data framework.FindingsThe current study explores the impact of accounting variables on the market prices of shares. After the study, it may be concluded that earning per share (EPS), return on equity (ROE), capital adequacy ratio (CAR) and net interest margin (NIM) have an incre...
The study is about contributing to the ongoing discussion on the diversification opportunities fo... more The study is about contributing to the ongoing discussion on the diversification opportunities for emerging markets with non-conventional asset class. The limited literature in the era of fourth industrial revolution motivates us to gauge diversification opportunities. This study is focusing on identifying diversification opportunities with a set of unique asset classes that are the proxies for Green Funds, FinTech and Artificial Intelligence-based index funds. The method and model applied in the study are time and frequency connectedness in a Wavelet Coherence, and for the robustness check—Network analysis has been applied. The originality of the study lies in identifying the impact of the outbreak of COVID-19. The results captured that FinTech-based asset was the most resilient asset class during the pre- and post-outbreak of COVID-19, followed by AI-based fund and finally by Green fund. Henceforth, FinTech provides superior diversification opportunities among all with MSCI Emergi...
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, 2016
The note on official statistical system of India focuses on gaps and limitations of data gathered... more The note on official statistical system of India focuses on gaps and limitations of data gathered by different agencies of Government of India in general and CSO in particular. It concentrates on data limitations and gaps relating to input output modelling and employment of human resources in Indian economy. Major gaps in data base of input output modelling relate to (i) total want of such data as are required for the compilation of capital coefficients matrix of Indian economy; (ii) Want of data relating to inter and intra-state trade along with price differentials among the economies of the states; (iii) Lack of I-O matrix with uniform classification without which inter-temporal comparative study is not possible. Change in technology is also difficult to infer without such tables; (iv) Both inter-state and intra-state growth differentials warrant that each input output table has an inter-regional transaction matrix as its supplement; (v) No data are available relating to transactions that take place between rural and urban establishments and people within a district and among the districts of a state; (vi) Sector-wise data relating to employment with education-occupation profile and corresponding wage/salary rates are not available. Data relating to nonformal and unorganized sector are also not available. This makes it extremely difficult to examine changing factor endowment of Indian economy during the course of development. It needs sector-wise data of employment and sectorwise wage rates are also needed.
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2020
As financial intermediaries banks play an important role in the operations of an economy. Over th... more As financial intermediaries banks play an important role in the operations of an economy. Over the years private banks are gaining market share by providing solutions which people are not able to get from public sector banks. This is also visible in numbers as number of accounts, credit off take, Current Account and Saving Account (CASA) deposits have been growing over the years. Lastly the main issue of Net performing assets (NPA) has also been addressed by private sector banks. Over the years the NPA level has been low which clearly shows that prudent lending practices by private sector banks have rewarded not just banks but also stakeholders. It has been very well captured the on-going shift of people trust from public banks to private sector banks. The paper examines the determinants of private sector banks in India for the years 2010 to 2019. A sample of 15 banks in the private sector has been taken. Descriptive Analysis, Correlation and regression using panel data modelling ha...
PurposeSeveral empirical studies have proven that emerging countries are attractive destinations ... more PurposeSeveral empirical studies have proven that emerging countries are attractive destinations for Foreign Institutional Investors (FIIs) because of high expected returns, weak market efficiency and high growth that make them attractive destination for diversification of funds. But higher expected returns come coupled with high risk arising from political and economic instability. This study aims to compare the linear (symmetric) and non-linear (asymmetric) Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models in forecasting the volatility of top five major emerging countries among E7, that is, China, India, Indonesia, Brazil and Mexico.Design/methodology/approachThe volatility of financial markets of five major emerging countries has been empirically investigated for a period of two decades from January 2000 to December 2019 using univariate volatility models including GARCH 1, 1, Exponential Generalized Autoregressive Conditional Heteroscedasticity (E-GARCH 1,...
PurposeAnalysts expect reduced bank earnings as a result of the impact of the increase in bad loa... more PurposeAnalysts expect reduced bank earnings as a result of the impact of the increase in bad loans. Banks have strategically created high provision coverage ratios allocating large funds for possible deterioration in asset quality. Given the expected faster growth and recovery in the bank lending sector, investors have always been interested in banking stocks, despite the waves of non-performing assets (NPAs) and recessionary influences. Historical references reiterate that the banking stocks have been better performers in their returns compared to the capital markets.Design/methodology/approachThe study aims to examine the impact of key accounting variables on the stock prices of Indian banks in the panel data framework.FindingsThe current study explores the impact of accounting variables on the market prices of shares. After the study, it may be concluded that earning per share (EPS), return on equity (ROE), capital adequacy ratio (CAR) and net interest margin (NIM) have an incre...
The study is about contributing to the ongoing discussion on the diversification opportunities fo... more The study is about contributing to the ongoing discussion on the diversification opportunities for emerging markets with non-conventional asset class. The limited literature in the era of fourth industrial revolution motivates us to gauge diversification opportunities. This study is focusing on identifying diversification opportunities with a set of unique asset classes that are the proxies for Green Funds, FinTech and Artificial Intelligence-based index funds. The method and model applied in the study are time and frequency connectedness in a Wavelet Coherence, and for the robustness check—Network analysis has been applied. The originality of the study lies in identifying the impact of the outbreak of COVID-19. The results captured that FinTech-based asset was the most resilient asset class during the pre- and post-outbreak of COVID-19, followed by AI-based fund and finally by Green fund. Henceforth, FinTech provides superior diversification opportunities among all with MSCI Emergi...
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, 2016
The note on official statistical system of India focuses on gaps and limitations of data gathered... more The note on official statistical system of India focuses on gaps and limitations of data gathered by different agencies of Government of India in general and CSO in particular. It concentrates on data limitations and gaps relating to input output modelling and employment of human resources in Indian economy. Major gaps in data base of input output modelling relate to (i) total want of such data as are required for the compilation of capital coefficients matrix of Indian economy; (ii) Want of data relating to inter and intra-state trade along with price differentials among the economies of the states; (iii) Lack of I-O matrix with uniform classification without which inter-temporal comparative study is not possible. Change in technology is also difficult to infer without such tables; (iv) Both inter-state and intra-state growth differentials warrant that each input output table has an inter-regional transaction matrix as its supplement; (v) No data are available relating to transactions that take place between rural and urban establishments and people within a district and among the districts of a state; (vi) Sector-wise data relating to employment with education-occupation profile and corresponding wage/salary rates are not available. Data relating to nonformal and unorganized sector are also not available. This makes it extremely difficult to examine changing factor endowment of Indian economy during the course of development. It needs sector-wise data of employment and sectorwise wage rates are also needed.
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2020
As financial intermediaries banks play an important role in the operations of an economy. Over th... more As financial intermediaries banks play an important role in the operations of an economy. Over the years private banks are gaining market share by providing solutions which people are not able to get from public sector banks. This is also visible in numbers as number of accounts, credit off take, Current Account and Saving Account (CASA) deposits have been growing over the years. Lastly the main issue of Net performing assets (NPA) has also been addressed by private sector banks. Over the years the NPA level has been low which clearly shows that prudent lending practices by private sector banks have rewarded not just banks but also stakeholders. It has been very well captured the on-going shift of people trust from public banks to private sector banks. The paper examines the determinants of private sector banks in India for the years 2010 to 2019. A sample of 15 banks in the private sector has been taken. Descriptive Analysis, Correlation and regression using panel data modelling ha...
PurposeSeveral empirical studies have proven that emerging countries are attractive destinations ... more PurposeSeveral empirical studies have proven that emerging countries are attractive destinations for Foreign Institutional Investors (FIIs) because of high expected returns, weak market efficiency and high growth that make them attractive destination for diversification of funds. But higher expected returns come coupled with high risk arising from political and economic instability. This study aims to compare the linear (symmetric) and non-linear (asymmetric) Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models in forecasting the volatility of top five major emerging countries among E7, that is, China, India, Indonesia, Brazil and Mexico.Design/methodology/approachThe volatility of financial markets of five major emerging countries has been empirically investigated for a period of two decades from January 2000 to December 2019 using univariate volatility models including GARCH 1, 1, Exponential Generalized Autoregressive Conditional Heteroscedasticity (E-GARCH 1,...
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