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Roy, Shuvashish
- Application of Topsis Method for Financial Performance Evaluation:A Study of Selected Scheduled Banks in Bangladesh
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Affiliations
1 K. B Group of Industries, Bokshigonj, Jamalpur, Mymensingh, BD
2 Department of Commerce, The University of Burdwan, Golapbag, Burdwan, West Bengal, IN
1 K. B Group of Industries, Bokshigonj, Jamalpur, Mymensingh, BD
2 Department of Commerce, The University of Burdwan, Golapbag, Burdwan, West Bengal, IN
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Journal of Commerce and Accounting Research, Vol 7, No 1 (2018), Pagination: 24-29Abstract
The main objective of our study is to analyze the financial performance of select scheduled banks (namely, the state-owned commercial banks, private commercial banks and foreign commercial banks) in Bangladesh during the period 2000-2013 with the help of TOPSIS (i.e., Technique for Order Preference by Similarity to an Ideal Solution). In the context of banking sector in Bangladesh, the broad classification of ratios/indicators has been done with the help of the methodology of Bangladesh Institute of Bank Management [Bank-Reviews, (2012-2013)]. After computing all category wise ratios/indicators (i.e., profitability and efficiency ratios, size and growth indicators, strength and soundness ratios and asset quality ratios) for all the select nineteen banks during the study period, the weights of the selected ratios/indicators have been calculated with the help of Shannon entropy method. Composite index values of the select banks have been determined on the basis of TOPSIS and from major findings of the present research work it can be concluded that the profitability, efficiency, strength and soundness, size and growth and asset quality positions of foreign commercial banks and private commercial banks are better than those of state-owned commercial banks.Keywords
Financial Performance, Shannon Entropy, TOPSIS.- A Comparative Study of Intention to Use Agent Banking Vis-a-Vis Traditional Bank Branches in Bangladesh
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Authors
Affiliations
1 Senior Lecturer, Faculty of Business Administration, North South University, Dhaka, BD
2 Associate Professor, Faculty of Business Administration, American International University, Dhaka, BD
3 Financial Advisor, Hazrat Khajar Bashir Unani Ayurvedic Medical College & Hospital Foundation, Jamalpur, BD
4 Professor, Institute of Innovation in Technology and Management, GGSIP University, Delhi, IN
1 Senior Lecturer, Faculty of Business Administration, North South University, Dhaka, BD
2 Associate Professor, Faculty of Business Administration, American International University, Dhaka, BD
3 Financial Advisor, Hazrat Khajar Bashir Unani Ayurvedic Medical College & Hospital Foundation, Jamalpur, BD
4 Professor, Institute of Innovation in Technology and Management, GGSIP University, Delhi, IN
Source
Journal of Commerce and Accounting Research, Vol 10, No 1 (2021), Pagination: 33-40Abstract
Information technology has signaled a paradigm shift in the service availability to the customers. Banking services have grown in phenomenal dimensions and agent banking is much to be credited for this increase in market reach. Researchers conducted a review of literature which brought about numerous advantages and challenges of agent banking services. This research paper has used the social exchange theory (SET) as the basis in trying to understand and analyze the case of Bangladesh in identifying the factors relating to adoption of agent banking compared to traditional banking systems. The study is corroborated from data collected at Tongi area of Bangladesh, and seeks to validate the findings with the help of empirical evidence analyzed using SPSS software. The paper serves as an extension to prior literature on intention to use services. The findings can be used as a foundation to design marketing strategies for developing markets with similar demographics.Keywords
Agent Banking, Social Exchange Theory (SET), Banks, Bangladesh.References
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- Asymmetric Volatility and Volatility Spillover: A Study of Major Cryptocurrencies
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Authors
Affiliations
1 Associate Professor, Globsyn Business School, Kolkata, West Bengal,, IN
2 Professor, Department of Commerce, The University of Burdwan, Golapbag, Burdwan, West Bengal, IN
3 Financial Advisor, Hazrat Khajar Bashir Unani Ayurvedic Medical College & Hospital Foundation, Jamalpur, BD
1 Associate Professor, Globsyn Business School, Kolkata, West Bengal,, IN
2 Professor, Department of Commerce, The University of Burdwan, Golapbag, Burdwan, West Bengal, IN
3 Financial Advisor, Hazrat Khajar Bashir Unani Ayurvedic Medical College & Hospital Foundation, Jamalpur, BD
Source
Journal of Commerce and Accounting Research, Vol 11, No 1 (2022), Pagination: 69-86Abstract
Cryptocurrencies have recently emerged as a popular asset class, with investors having high risk appetite and speculative attributes. They are not backed by physical assets, such as commodities or real currencies; they are purely speculative assets having high volatility. Regulatory authorities across the globe have conflicting rules regarding cryptocurrencies. Recent studies on volatility of cryptocurrencies have primarily addressed univariate volatility analysis and volatility spillover between cryptocurrencies and other asset classes, mostly stocks and commodities. This study has three objectives. Firstly, it considers six prominent cryptocurrencies, i.e., Bitcoin, Ethereum, Binance Coin, Cardano, Tether, and Ripple, and examines the nature of asymmetrical volatility in them using EGARCH and TGARCH techniques. Secondly, it examines whether there are volatility spillovers between the cryptocurrencies as well as from one of the most popular global fear indices, i.e., CBOE volatility index, using dynamic conditional correlation (DCC). Thirdly, it further measures the total and directional volatility spillover among the cryptocurrencies using the Diebold-Yilmaz index. This study has found that Ethereum and Ripple may be used to construct a portfolio. There exists long-term volatility spillover among all the cryptocurrencies; however, there is no short-term spillover of volatility. Volatility of Binance Coin, Cardano, and Ripple influence and are influenced the most by volatilities of other cryptocurrencies.Keywords
Cryptocurrency, Volatility Spillover, EGARCH, TGARCH, Dynamic Conditional Correlation (DCC), Diebold-Yilmaz IndexReferences
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