• Title/Summary/Keyword: Banking Business Strategy

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Analysis the Determinants of Risk Factor Model for the Jordanian Banking Stocks

  • GHARAIBEH, Omar Khlaif;AL-QUDAH, Ali Mustafa
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.615-626
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    • 2020
  • The purpose of this study is to analyze the determinants of risk factor model for the Jordanian banking stocks from 2006 to 2018. This study employs the Five-factor Fama and French's (2015) methodology and uses the annual returns of all Jordanian banks including 2 Islamic and 13 commercial banks listed on the Amman Stock Exchange (ASE) over a period of 13 years. The results show that the factors of value and profitability have an important role in evaluating the expected return in Jordanian banking stocks. Moreover, the value HML and profitability RMW factors provide the highest cumulative returns among these five factors, while the investment CMA and size SMB factors are still around zero cumulative returns. For the market factor, it provides the least negative cumulative returns. The results showed that the largest correlation is between value and investment factors which means that banks with a high book to market value become banks with a conservative investment strategy. The result of the sub-periods confirmed the value and profitability results. The findings of this study suggest that the five-factor Fama and French model is the choice of building an investment portfolio, especially the factors of value and profitability.

The Effectiveness of Macroprudential Policy on Credit Growth at Bank-Level Data in Vietnam

  • NGUYEN, Hau Trung;PHAM, Anh Thi Hoang;DANG, Thuy T.
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.325-334
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    • 2021
  • The study investigates the effectiveness of the macroprudential policy on credit growth in Vietnam. The authors use the logic of the transmission mechanism of macroprudential policy on credit growth. Research variables include economic growth, inflation, interest rate, and quarterly bank-level data from 28 commercial banks in Vietnam during 2011-2018. The results reveal that: (i) GDP growth had a positive impact on credit growth of small banks but had no impact on large banks, (ii) Domestic Systemically Important Banks (D-SIBs) and small banks respond differently to macroprudential measures of imposing different credit growth targets for different bank groups, (iii) Restrictions on foreign currency loans are found to be effective in curbing credit growth for the full sample and small banks, (iv) Inflation and economic cycle have significantly impacted credit growth at bank-level in Vietnam and (v) Interestingly, a significant positive relationship between interest rates and credit growth is found for the full sample and D-SIBs in Vietnam. The findings suggest that a stable macroeconomic environment should be good conditions for financial stability, and monetary authority should pay more attention to small banks' behaviors than D-SIBs behavior, toward such "administration" tools since small banks tend to prefer "breaking the rules" to make profits.

A Study on the Design and Development of eCRM Using Financial Goods Recommendation Expert System (금융상품추천 전문가시스템을 이용한 은행의 eCRM 설게 및 구축 방안에 관한 연구)

  • Kim, Ha-Kyun;Jeong, Seok-Chan
    • The Journal of Society for e-Business Studies
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    • v.9 no.3
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    • pp.191-205
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    • 2004
  • In banking industry, as competition of retail finance is intensive, there appeared eCRM which is a kind of marketing strategy, not only screening good customers but also doing one-to-one marketing for improving customer royalty and satisfaction of goods and service of bank. The strategic importance of eCRM is increasing more and more. We studied bank to use the advantage of expert system and eCRM. The expert system is used as a tool to analyze eCRM. In this paper, first, we presented an eCRM system architecture using expert systems in banking business. Secondly, a bank financial goods recommendation system using expert system is designed and developed. Customers will receive the good quality financial services from the expert system and banks also will acquire the good quality customer data from the expert system.

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The Impact of Financial and Trade Credit on Firms Market Value

  • ABUHOMMOUS, Ala'a Adden Awni;ALMANASEER, Mousa
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1241-1248
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    • 2021
  • This study employs data from CRSP/Compustat files for the period from 2003 to 2017 and applies a panel data analysis. The results of this study show a positive relationship between trade credit and the firm's market value, however, the results show a negative relationship if we test the impact of financial credit on the firm's market value. The results have direct policy implications for investors, the firm's management, and financial strategy. An implication of our study is that using trade credit as a source of financing may give a positive signal of the firm's creditworthiness and increase the firm's market value. Also, the results of our study indicate that the benefits of using trade credit may outperform the cost of using it as a source of finance. Prior studies examine the impact of financial leverage on the firm's value, however, this study contributes to the existing studies that examine the factors that affect the firm's market value by examining the impact of using trade credit finance on the firm's market value. The main limitation of this study is that the results are based on listed firms, using data from unlisted firms is not available.

A Systematic Review of Big Data: Research Approaches and Future Prospects

  • Cobanoglu, Cihan;Terrah, Abraham;Hsu, Meng-Jun;Corte, Valentina Della;Gaudio, Giovanna Del
    • Journal of Smart Tourism
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    • v.2 no.1
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    • pp.21-31
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    • 2022
  • This review paper aims at providing a systematic analysis of articles published in various journals and related to the uses and business applications of big data. The goal is to provide a holistic picture of the place of big data in the tourism industry. The reviewed articles have been selected for the period 2013-2020 and have been classified into 8 broad categories namely business strategy and firm performance; banking and finance; healthcare; hospitality; networks and telecommunications; urbanism and infrastructures; law and legal regulations; and government. While the categories are reflective of components of tourism industries and infrastructures, the meta-analysis is organized around 3 broad themes: preferred research contexts, conceptual developments, and methods used to research big data business applications. Main findings revealed that firm performance and healthcare remain popular contexts of research in the big data realm, but also demonstrated a prominence of qualitative methods over mixed and quantitative methods for the period 2013-2020. Scholars have also investigated topics involving the notions of competitive advantage, supply chain management, smart cities, but also ethics and privacy issues as related to the use of big data.

A Study on Trust Transfer in Traditional Fintech of Smart Banking (핀테크 서비스에서 오프라인에서 온라인으로의 신뢰전이에 관한 연구 - 스마트뱅킹을 중심으로 -)

  • Ai, Di;Kwon, Sun-Dong;Lee, Su-Chul;Ko, Mi-Hyun;Lee, Bo-Hyung
    • Management & Information Systems Review
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    • v.36 no.3
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    • pp.167-184
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    • 2017
  • In this study, we investigated the effect of offline banking trust on smart banking trust. As influencing factors of smart banking trust, this study compared offline banking trust, smart banking's system quality, and information quality. For the empirical study, 186 questionnaire data were collected from smart banking users and the data were analyzed using Smart-PLS 2.0. As results, it was verified that there is trust transfer in FinTech service, by the significant effect of offline banking trust on smart banking trust. And it was proved that the effect of offline banking trust on smart banking trust is lower than that of smart banking itself. The contribution of this study can be seen in both academic and industrial aspects. First, it is the contribution of the academic aspect. Previous studies on banking were focused on either offline banking or smart banking. But this study, focus on the relationship between offline banking and online banking, proved that offline banking trust affects smart banking trust. Next, it is the industrial contribution. This study showed that offline banking characteristics of traditional commercial banks affect the trust of emerging smart banking service. This means that the emerging FinTech companies are not advantageous in the competition of trust building compared to traditional commercial banks. Unlike traditional commercial banks, the emerging FinTech is innovating the convenience of customers by arming them with new technologies such as mobile Internet, social network, cloud technology, and big data. However, these FinTech strengths alone can not guarantee sufficient trust needed for financial transactions, because banking customers do not change a habit or an inertia that they already have during using traditional banks. Therefore, emerging FinTech companies should strive to create destructive value that reflects the connection with various Internet services and the strength of online interaction such as social services, which have an advantage over customer contacts. And emerging FinTech companies should strive to build service trust, focused on young people with low resistance to new services.

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Developing Green Bank Operation In India And Vietnam: Comparison And Evaluation

  • DANG, Thuy T.;NGUYEN, Trang Thu
    • Asian Journal of Business Environment
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    • v.11 no.3
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    • pp.33-43
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    • 2021
  • Purpose: The purpose of the paper is to assess the greening of investment flows as well as the orientation of financial sources of effective environmental protection. Both India and Vietnam are considered to be two Asian countries that are radically affected by global climate change. Governments of the two countries have implimented numerous measures against environmental pollution through the banking and finance sector. Developing green banking operations in India and Vietnam is a new direction in the socio-economic development strategy coupled with effective environmental protection. Research design, data and methodology: The data was mainly based on Asia Development Bank Institution (ADBI) and Bank of India (BOI) from 2015 - 2018. This paper focused on comparing and evaluating the development of green banks between the two countries. Result: The banks' contribution to green growth and green economy is shown in two basic aspects: (i) the connection between organizations, and individuals, and management process for investment projects, including environmental risks; and (ii) the operation of banks has a direct impact on the environment, through the application of technology to pay documents and apply e-banking. Conclusion: Paper reflects, compares and evaluates green banking operations in India and Vietnam to provide new directions aiming to develop financial and economic system along with effective and efficient step toward climate change control. India's green banking operations, after a specific assessment, will be lessons for the Government of Vietnam during the process of socio-economic development and environmental protection.

Option Strategies: An Analysis of Naked Put Writing

  • Lekvin Brent J.;Tiwari Ashish
    • The Korean Journal of Financial Studies
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    • v.3 no.2
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    • pp.329-364
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    • 1996
  • Writing naked put options is a strategy employed either as a speculation to capture premium income, or as a method of placing a limit order to buy the underlying at the strike price in return for premium received. Using a Monte Carlo simulation, twenty thousand equity prices are generated under known volatility and return parameters. A binomial tree is constructed using the same volatility and return parameters. Put options on these 'equities' are valued with the binomial methodology. The performance of various put writing strategies is evaluated on a risk-adjusted basis. Evidence presented suggests that the judicious use of put options may enhance returns during portfolio construction.

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Data Envelopment Analysis on Measuring the Performance of Vietnamese Joint-Stock Commercial Banks

  • NGO, Duc Tien;PHUNG, Thu Ha;DINH, Tuan Minh;NGUYEN, Thuy Lien
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.53-62
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    • 2022
  • Commercial banks have a significant impact on the economy of Vietnam because they provide the majority of transactional capital. Therefore, the operational efficiency of commercial banks is a viral topic for the study of the Vietnamese banking system. The research aims to examine the efficiency and inefficiency of joint-stock commercial banks in Vietnam from 2016 to 2020 and then classify them into the efficient group and inefficient group. The study employs the time series data of 29 joint-stock commercial banks during the period 2016-2020. Based on the data collected from the annual audited financial statements of 29 Vietnamese joint-stock commercial banks, the authors select input and output variables for the standard DEA models and anti-efficient DEA models. This research uses two stages, first, by applying the standard DEA model, we investigate the efficient banks; second, by employing the anti-efficient DEA model, we find out the inefficient banks. The results reveal that the average efficiency score of 29 joint-stock commercial banks tends to increase in the period 2016-2018 and decrease gradually in the period 2019-2020. The findings of this study suggest that several small and medium-sized banks in the Vietnamese banking sector have both promising and risky performances and the efficiency of state-owned commercial banks has also improved significantly during the study period.

Momentum Effect in the Oman Stock Market Over the Period of 2005-2018

  • GHARAIBEH, Omar Khlaif;AL-KHAZALI, Ahmad;AL-QURAN, Ali Zkariya
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.711-724
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    • 2021
  • The purpose of this paper is to investigate the profitability of the momentum effects on the Oman Stock Market (OSM). This study uses the monthly returns of all stocks listed on the OSM, with a total of 107 companies used in the study for the period from 2005 to 2018. According to the methodology developed by Jegadeesh and Titman (1993), this study builds momentum portfolios based on various sizes. Moreover, the January effect is also examined to recognize if this effect is related to the momentum effect. The results find that there is evidence of momentum returns and these returns are statistically and economically significant. The sub-periods confirmed the profitability of the momentum strategy. This paper shows that momentum returns are evident at different sizes; big, medium, and small-sized portfolios. Besides, the result shows that the classic January effect does not play an important role in the momentum returns. Thus, the implication is that the momentum should not take into account the annual, seasonal, and size returns. The capital asset pricing model (CAPM) or the three-factor model cannot explain momentum returns generated by individual stocks in the Oman Stock Market. These results are useful to academia and investors alike.