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Taschenbuch. Condición: Neu. Neuware -Doctoral Thesis / Dissertation from the year 2019 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, Bharathiar University, language: English, abstract: This study seeks to understand the impact of a series of key internal determinants of the profitability of listed commercial banks in India. Following are the research questions raised in this regard: Are there differences in key performance measures of private and public sector banks Does the size of the bank affect bank profitability Does the bank's lending activity and income generation capability affect its profitability Does the productivity of the bank impact its profitability Does the bank's asset quality and capital adequacy affect its profitability Can bank profitability be forecasted from determinants The banking industry in India is diverse in nature. There are more than sixty listed commercial banks in India. These include banks in the public and private sector and the banks are of varying size and profitability levels. As noted early, the Indian banking system is faced with severe asset quality issues. The banking system has been flooded with non-performing assets which have significantly eroded the bank margins. Recent adverse developments in the banking sector such as lending scams and questionable advances to troubled segments of the economy have dominated the financial press. While this being so, this research is aimed at examining the contributing factors of profitability in banks.Key measures of bank profitability include the return of assets, return on equity and net interest margin. There are several possible drivers of bank profitability. These include asset quality, capital adequacy, liquidity, productivity and income. While several studies till date have looked at key determinants of bank profitability, very few studies have compared the effect of key determinants for a larger cross section of banks that represent the banking sector in India as a whole. Hence an attempt has been made in this study to know the key drivers of profitability of the banking sector. The study also looks at the similarities or the differences of the influence of selected determinants on profitability measures across the sample of banks selected for research. This study also compares the key drivers of bank profitability for public and private sector banks and an attempt is made to develop models to forecast bank profitability from key determinants. 256 pp. Englisch.

Taschenbuch. Condición: Neu. Neuware -Doctoral Thesis / Dissertation from the year 2019 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, Bharathiar University, language: English, abstract: This study seeks to understand the impact of a series of key internal determinants of the profitability of listed commercial banks in India. Following are the research questions raised in this regard: Are there differences in key performance measures of private and public sector banks Does the size of the bank affect bank profitability Does the bank¿s lending activity and income generation capability affect its profitability Does the productivity of the bank impact its profitability Does the bank¿s asset quality and capital adequacy affect its profitability Can bank profitability be forecasted from determinants The banking industry in India is diverse in nature. There are more than sixty listed commercial banks in India. These include banks in the public and private sector and the banks are of varying size and profitability levels. As noted early, the Indian banking system is faced with severe asset quality issues. The banking system has been flooded with non-performing assets which have significantly eroded the bank margins. Recent adverse developments in the banking sector such as lending scams and questionable advances to troubled segments of the economy have dominated the financial press. While this being so, this research is aimed at examining the contributing factors of profitability in banks.Key measures of bank profitability include the return of assets, return on equity and net interest margin. There are several possible drivers of bank profitability. These include asset quality, capital adequacy, liquidity, productivity and income. While several studies till date have looked at key determinants of bank profitability, very few studies have compared the effect of key determinants for a larger cross section of banks that represent the banking sector in India as a whole. Hence an attempt has been made in this study to know the key drivers of profitability of the banking sector. The study also looks at the similarities or the differences of the influence of selected determinants on profitability measures across the sample of banks selected for research. This study also compares the key drivers of bank profitability for public and private sector banks and an attempt is made to develop models to forecast bank profitability from key determinants.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (postgraduate) from the year 2017 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, , language: English, abstract: The CAMEL rating is a well established technique to compare the performance of banks and financial institutions. We compare a sample of five public sector banks in India, ranking them via the CAMEL rating. Of the banks chosen for the study SBI ranked first in capital adequacy, asset quality and earnings quality. IDBI ranked first in management efficiency while BOB ranked first in liquidity. The bank with the best overall CAMEL rank proved to be SBI. By providing a basis of comparison for different banks the CAMEL rating can yield valuable insight to several stake holders of banks such as bank management, investors and regulators.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (postgraduate) from the year 2011 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, , language: English, abstract: The Indian stock market S and P CNX Nifty Index (Nifty) is a well diversified index of 50 companies. Foreign Institutional Investors (FII's), wield significant influence over daily trading volumes in both the spot and derivative segments in the Indian markets. This tends to impact market volatility and returns. This study attempted to study the effect of FII transaction amounts, derivative turn over amounts and volatility on the performance of the Nifty index. A strong correlation was observed between derivative turnover and the Nifty but the correlation was relatively weaker between the Nifty and FII transaction amounts and Volatility. FII and F&O activity established important tops ahead of major tops in the Nifty. Volatility remained low during periods of significant upside in the stock market but spiked up during market declines. Linear and Non-linear models using multivariate analysis were fit to estimate the Nifty from the respective independent variables. A non linear model involving all three variables provided the best fit and the least deviation from actual values suggesting that interplay of these and other factors drive the performance of the index.Keywords: Nifty, FII transaction amounts, F&O turnover, Volatility, Nifty forecasting, Linear and Non Linear Models.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2021 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, , language: English, abstract: The purpose of this research is to forecast the following day's closing price for a specific share of a company in the stock market using the 'Hidden Markov Model'. In this paper, the 'Hidden Markov Model' is used to predict some of the stocks of interconnected airline markets. The researchers have developed the 'Hidden Markov Model' for forecasting time series. As a result of its ability to model dynamic systems, this model is widely used for therecognition of model and problem classifications. In this article, the researchers examined trends in the historical data set. They inserted the appropriate neighboring prices to the datasets and predicted the next day's exchange. Data collection was secondary. The secondary market was collected from Southwest Airlines for 1.5 years (approximately) from September 17, 2002, to December 16, 2004. The observations of the input data are continuous rather than discrete. The sample size is 4 airline firms (British Airlines, Delta Airlines, Southwest Airlines, and Ryanair Holdings Ltd.) The NIFTY IT index captures the performance of the Indian Information Technology (IT) companies. The NIFTY IT index consists of 10 companies listed on the National Stock Exchange (NSE). The IT sector in India has been recording tremendous growth over the years, where it accounts for a growth rate of 7.5 percent per annum. Time series analysis is a statistical tool that can be used in forecasting the prices of financial assets. In the current study, the NIFTY IT index was forecasted from past data collected over a 10 year period spanning from 2011 to 2020. An ARIMA model is fit and used to forecast the NIFTY IT index. Forecasted values were different from actual prices, suggesting that more influencing independent variables must be include, to improve the model accuracy.

Taschenbuch. Condición: Neu. Neuware -Master's Thesis from the year 2021 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, , language: English, abstract: The purpose of this research is to forecast the following day's closing price for a specific share of a company in the stock market using the 'Hidden Markov Model'. In this paper, the 'Hidden Markov Model' is used to predict some of the stocks of interconnected airline markets. The researchers have developed the 'Hidden Markov Model' for forecasting time series. As a result of its ability to model dynamic systems, this model is widely used for therecognition of model and problem classifications. In this article, the researchers examined trends in the historical data set. They inserted the appropriate neighboring prices to the datasets and predicted the next day's exchange. Data collection was secondary. The secondary market was collected from Southwest Airlines for 1.5 years (approximately) from September 17, 2002, to December 16, 2004. The observations of the input data are continuous rather than discrete. The sample size is 4 airline firms (British Airlines, Delta Airlines, Southwest Airlines, and Ryanair Holdings Ltd.) The NIFTY IT index captures the performance of the Indian Information Technology (IT) companies. The NIFTY IT index consists of 10 companies listed on the National Stock Exchange (NSE). The IT sector in India has been recording tremendous growth over the years, where it accounts for a growth rate of 7.5 percent per annum. Time series analysis is a statistical tool that can be used in forecasting the prices of financial assets. In the current study, the NIFTY IT index was forecasted from past data collected over a 10 year period spanning from 2011 to 2020. An ARIMA model is fit and used to forecast the NIFTY IT index. Forecasted values were different from actual prices, suggesting that more influencing independent variables must be include, to improve the model accuracy.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch.

Taschenbuch. Condición: Neu. Neuware -Doctoral Thesis / Dissertation from the year 2019 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, Bharathiar University, language: English, abstract: This study seeks to understand the impact of a series of key internal determinants of the profitability of listed commercial banks in India. Following are the research questions raised in this regard: Are there differences in key performance measures of private and public sector banks Does the size of the bank affect bank profitability Does the bank¿s lending activity and income generation capability affect its profitability Does the productivity of the bank impact its profitability Does the bank¿s asset quality and capital adequacy affect its profitability Can bank profitability be forecasted from determinants The banking industry in India is diverse in nature. There are more than sixty listed commercial banks in India. These include banks in the public and private sector and the banks are of varying size and profitability levels. As noted early, the Indian banking system is faced with severe asset quality issues. The banking system has been flooded with non-performing assets which have significantly eroded the bank margins. Recent adverse developments in the banking sector such as lending scams and questionable advances to troubled segments of the economy have dominated the financial press. While this being so, this research is aimed at examining the contributing factors of profitability in banks.Key measures of bank profitability include the return of assets, return on equity and net interest margin. There are several possible drivers of bank profitability. These include asset quality, capital adequacy, liquidity, productivity and income. While several studies till date have looked at key determinants of bank profitability, very few studies have compared the effect of key determinants for a larger cross section of banks that represent the banking sector in India as a whole. Hence an attempt has been made in this study to know the key drivers of profitability of the banking sector. The study also looks at the similarities or the differences of the influence of selected determinants on profitability measures across the sample of banks selected for research. This study also compares the key drivers of bank profitability for public and private sector banks and an attempt is made to develop models to forecast bank profitability from key determinants.Books on Demand GmbH, Überseering 33, 22297 Hamburg 256 pp. Englisch.

Taschenbuch. Condición: Neu. Neuware - Doctoral Thesis / Dissertation from the year 2019 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, Bharathiar University, language: English, abstract: This study seeks to understand the impact of a series of key internal determinants of the profitability of listed commercial banks in India. Following are the research questions raised in this regard: Are there differences in key performance measures of private and public sector banks Does the size of the bank affect bank profitability Does the bank's lending activity and income generation capability affect its profitability Does the productivity of the bank impact its profitability Does the bank's asset quality and capital adequacy affect its profitability Can bank profitability be forecasted from determinants The banking industry in India is diverse in nature. There are more than sixty listed commercial banks in India. These include banks in the public and private sector and the banks are of varying size and profitability levels. As noted early, the Indian banking system is faced with severe asset quality issues. The banking system has been flooded with non-performing assets which have significantly eroded the bank margins. Recent adverse developments in the banking sector such as lending scams and questionable advances to troubled segments of the economy have dominated the financial press. While this being so, this research is aimed at examining the contributing factors of profitability in banks.Key measures of bank profitability include the return of assets, return on equity and net interest margin. There are several possible drivers of bank profitability. These include asset quality, capital adequacy, liquidity, productivity and income. While several studies till date have looked at key determinants of bank profitability, very few studies have compared the effect of key determinants for a larger cross section of banks that represent the banking sector in India as a whole. Hence an attempt has been made in this study to know the key drivers of profitability of the banking sector. The study also looks at the similarities or the differences of the influence of selected determinants on profitability measures across the sample of banks selected for research. This study also compares the key drivers of bank profitability for public and private sector banks and an attempt is made to develop models to forecast bank profitability from key determinants.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2005 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, University Of Wales Institute, Cardiff, language: English, abstract: The foreign exchange market is the worlds largest market with daily turnover exceeding trillions. With non-stop trading opportunities from Monday to Friday one can take advantage of several profitable set ups within the week. This can be done either by analyzing the fundamentals or technicals of underlying currency pairs. Options present one with the added advantage that one's risk is limited to the amount invested. This study looks at the advantages of exotic options as a tool in Forex trading. By taking the buy-sell decision out of the equation these options offer some key advantages over their regular counterparts.

Taschenbuch. Condición: Neu. Determinants of Profitability of Listed Commercial Banks in India | Rajveer Rawlin | Taschenbuch | 256 S. | Englisch | 2019 | GRIN Verlag | EAN 9783346078490 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Research Paper (postgraduate) from the year 2011 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, , language: English, abstract: The Indian stock market S and P CNX Nifty Index (Nifty) is a well diversified index of 50 companies. Foreign Institutional Investors (FII's), wield significant influence over daily trading volumes in both the spot and derivative segments in the Indian markets. This tends to impact market volatility and returns. This study attempted to study the effect of FII transaction amounts, derivative turn over amounts and volatility on the performance of the Nifty index. A strong correlation was observed between derivative turnover and the Nifty but the correlation was relatively weaker between the Nifty and FII transaction amounts and Volatility. FII and F&O activity established important tops ahead of major tops in the Nifty. Volatility remained low during periods of significant upside in the stock market but spiked up during market declines. Linear and Non-linear models using multivariate analysis were fit to estimate the Nifty from the respective independent variables. A non linear model involving all three variables provided the best fit and the least deviation from actual values suggesting that interplay of these and other factors drive the performance of the index.Keywords: Nifty, FII transaction amounts, F&O turnover, Volatility, Nifty forecasting, Linear and Non Linear Models. 24 pp. Englisch.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Research Paper (postgraduate) from the year 2017 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, , language: English, abstract: The CAMEL rating is a well established technique to compare the performance of banks and financial institutions. We compare a sample of five public sector banks in India, ranking them via the CAMEL rating. Of the banks chosen for the study SBI ranked first in capital adequacy, asset quality and earnings quality. IDBI ranked first in management efficiency while BOB ranked first in liquidity. The bank with the best overall CAMEL rank proved to be SBI. By providing a basis of comparison for different banks the CAMEL rating can yield valuable insight to several stake holders of banks such as bank management, investors and regulators. 16 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2021 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, , language: English, abstract: The purpose of this research is to forecast the following day's closing price for a specific share of a company in the stock market using the 'Hidden Markov Model'. In this paper, the 'Hidden Markov Model' is used to predict some of the stocks of interconnected airline markets. The researchers have developed the 'Hidden Markov Model' for forecasting time series. As a result of its ability to model dynamic systems, this model is widely used for therecognition of model and problem classifications. In this article, the researchers examined trends in the historical data set. They inserted the appropriate neighboring prices to the datasets and predicted the next day's exchange. Data collection was secondary. The secondary market was collected from Southwest Airlines for 1.5 years (approximately) from September 17, 2002, to December 16, 2004. The observations of the input data are continuous rather than discrete. The sample size is 4 airline firms (British Airlines, Delta Airlines, Southwest Airlines, and Ryanair Holdings Ltd.) The NIFTY IT index captures the performance of the Indian Information Technology (IT) companies. The NIFTY IT index consists of 10 companies listed on the National Stock Exchange (NSE). The IT sector in India has been recording tremendous growth over the years, where it accounts for a growth rate of 7.5 percent per annum. Time series analysis is a statistical tool that can be used in forecasting the prices of financial assets. In the current study, the NIFTY IT index was forecasted from past data collected over a 10 year period spanning from 2011 to 2020. An ARIMA model is fit and used to forecast the NIFTY IT index. Forecasted values were different from actual prices, suggesting that more influencing independent variables must be include, to improve the model accuracy. 92 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2005 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, University Of Wales Institute, Cardiff, language: English, abstract: The foreign exchange market is the worlds largest market with daily turnover exceeding trillions. With non-stop trading opportunities from Monday to Friday one can take advantage of several profitable set ups within the week. This can be done either by analyzing the fundamentals or technicals of underlying currency pairs. Options present one with the added advantage that one's risk is limited to the amount invested. This study looks at the advantages of exotic options as a tool in Forex trading. By taking the buy-sell decision out of the equation these options offer some key advantages over their regular counterparts. 60 pp. Englisch.