Impact of International Trade on the Share Prices of the Industrial Bank of Korea Using Stochastic Prediction Modeling

Gulbadin Farooq Dar(Gulbadin Farooq Dar ),Young-Hyo Ahn(Young-Hyo Ahn),Qaiser Farooq Dar(Qaiser Farooq Dar ),Jin-Hee Ma(Jin-Hee Ma) The International Academy of Global Business and T 2023 The International Academy of Global Business and T Vol.19 No.4

Purpose – The share price of any financial institution fluctuates due to various hidden and visible factors. Predicting share price behavior in the economy and financial marketing theory is crucial but complex. The Industrial Bank of Korea’s (IBK) share prices are also affected by hidden factors, including Korean international trade flow. The study aims to forecast hidden impacts on IBK share prices resulting from the international trade flow in Korea. Design/Methodology/Approach – Two Hidden Markov Model (HMM) approaches are employed, one based on exports, and the other on imports, to identify trends and fluctuations in the hidden states influencing visible states. Findings – The findings reveal a significant positive correlation between IBK share prices and both exports and imports. Notably, increasing exports indicate a 50% probability of IBK share prices rising, while falling imports indicate a 56% chance of IBK share prices increasing. These results demonstrate how changes in exports and imports impact IBK’s share price in the Korean stock market. Research Implications – The research implications are valuable for short- and long-term investors in IBK shares and the Korean stock exchange. This research can help decision-makers identify the relationships between and within the visible/observed states that influence the stock price of IBK.

Assessing Efficiency and Ranking of English Premier League Strikers Using Data Envelopment Analysis

Qaiser Farooq Dar,Zahoor, Ul Haqbhat,마진희,안영효 한국상품학회 2022 商品學硏究 Vol.40 No.6

Performance evaluation and ranking of sports players have always been important objectives for decision-making in the sports industry. In this study, we introduce a powerful non-parametric methodology for the evaluation of performance and ranking based on the efficiency of players using Data Envelopment Analysis (DEA). The goal of this work is to provide a methodology to improve efficiency of players to provide valuable benchmark information to the management of football clubs, their coaches, decision-makers, and football players. The study is based on the efficiency of strikers (forwards and midfielders) for the 2020-21 season of the English Premier League. The aggregate, technical, scale, and super efficiencies were estimated along with the nature of returns to scale and ranking in the case of forward and midfielder players separately by using the DEA approaches. Further, the study is extended to compare the mean efficiency of both types of strikers and the efficiency estimated by radial and non-radial approaches of DEA. Finally, based on our data analysis, we reported that the averages of radial and non-radial technical efficiency of forward strikers are ( .89) and ( .71), whereas the midfielder strikers are ( .83) and ( .66). It was also observed that the aggregate and scale efficiency of forward and midfielder strikers are statistically significant as competed to the technical and super efficiency.

Visualization, Economic Complexity Index, and Forecasting of South Korea International Trade Profile: A Time Series Approach

Qaiser Farooq Dar,Gulbadin Farooq Dar,Jin-Hee Ma,Young-Hyo Ahn 한국무역학회 2020 Journal of Korea trade Vol.24 No.1

Purpose – The recent growth of South Korean products in the international market is the benchmark for both developed as well as developing countries. According to the development index, the role of international trade is indeed crucial for the development of the national economy. However, the visualization of the international trade profile of the country is the prerequisite of governmental policy decision-makers and guidance for forecasting of foreign trade. Design/methodology – We have utilized data visualization techniques in order to visualize the import & export product space and trade partners of South Korea. Economic Complexity Index (ECI) and Revealed Comparative Advantage (RCA) were used to identify the Korean international trade diversification, whereas the time series approach is used to forecast the economy and foreign trade variables. Findings – Our results show that Chine, U.S, Vietnam, Hong Kong, and Japan are the leading trade partners of Korea. Overall, the ECI of South Korea is growing significantly as compared to China, Hong Kong, and other developed countries of the world. The expected values of total import and export volume of South Korea are approximately US$535.21 and US$ 781.23B, with the balance of trade US$ 254.02B in 2025. It was also observed from our analysis that imports & exports are equally substantial to the GDP of Korea and have a significant correlation with GDP, GDP per capita, and ECI. Originality/value – To maintain the growth rate of international trade and efficient competitor for the trade partners, we have visualized the South Korea trade profile, which provides the information of significant export and import products as well as main trade partners and forecasting.

Investigate Central Bank Efficiency and its relation with Export level: A Case of Top Asian Exporter Countries

QAISER FAROOQ DAR,Ahn Young Hyo 한국무역학회 2019 한국무역학회 국제학술대회 Vol.2019 No.08

Impact of Economic Value in the O2O Distribution Channel on Brand Attractiveness and Performance

Seok-Beom CHOI(Seok-Beom CHOI),Hye-Young JOO(Hye-Young JOO),Hokey MIN(Hokey MIN),Qaiser Farooq DAR(Qaiser Farooq DAR ),Young-Hyo AHN(Young-Hyo AHN) 한국유통과학회 2023 유통과학연구 Vol.21 No.2

Purpose: With the unique feature of O2O, consumers are now able to check the profile of the services and products online and then consume them in offline venues or vice versa. This study provides motivation and practical implications about online-to-offline (O2O) distribution channels and investigates the relationship between economic values, service consistency and brand identity attractiveness in the O2O distribution channel. Then identify the impact of brand identity attractiveness on the performance (reputation and reuse intention). Research design, data, and methodology: Structural equation modeling (SEM) has been used to investigate the relationship between economic value and brand identity attractiveness, which affects the reputation and reuse intention of services in O2O. Results: Empirical results show the positive and significant impact of economic value and service consistency on brand identity attractiveness which results the positive and significant impact on performance (reputation and reuse intention) in O2O. Conclusion: In the O2O distribution channel, economic value is an important aspect for the attractive image and brand identity. On the other side, brand identity attractiveness is important for the bright future of O2O services, continuous growth, achieving the distinct goal, keeping good promises with customers, and a better reputation of O2O services in distribution channels.

Sustainable GSCM Practices - CSR Governance of Chinese Companies and Their Performances in a Green Supply Chain

마진희(Ma, Jin-Hee),케이서 파룩 다(Qaiser Farooq Dar),안영효(Ahn, Young-Hyo) 한국물류학회 2020 물류학회지 Vol.30 No.4

중국은 세계 경제의 제조 동력원으로서 전 세계 공급망에서 산업적인 역할이 매우 크다. 중국 내 제조업의 비중과 역할이 커짐에 따라 중국 제조기업은 환경에 대한 사회적 책임을 피할 수 없게 되었다. 따라서 본 연구의 목적은 환경보호적 측면에서 중국 제조업체가 상생의 기회를 얻을 수 있도록 동기 부여와 실무적인 시사점을 제시하는 데 있다. 이를 위해 중국 제조기업을 대상으로 설문조사를 실시하였고 이 중 296부를 채택하여 조사데이터로 활용하였다. 구조방정식 모델링을 통해 첫째, 녹색 공급망 하에 관행(녹색 협력과 생산)과 기업의 성과(환경보호, 재무성과 및 품질개선)와의 연관성과 둘째, 사회적 책임을 기반으로 한 운영방식이 녹색 공급망 내 관행을 통해 성과에 미치는 조절효과, 셋째로 녹색 공급망 하의 관행과 성과 간 관계에 환경규제가 미치는 매개효과를 분석하였다. 연구결과, 중국 제조기업의 녹색 협력은 환경 보호성과 뿐 아니라 재무성과 및 품질개선에도 영향을 주는 것으로 나타났다. 그러나 녹색 생산은 모든 기업성과에 부정적인 영향을 미치는 것으로 나타나 중국 제조기업의 녹색 생산방식의 전반적인 개선이 필요할 것으로 판단된다. 기업의 사회적 책임을 강화한 운영방식(가버넌스)은 녹색 생산과 협력을 실행함에 따라 성과가 개선되는데 직접적인 영향을 주는 것으로 나타났다. 즉, 기업이 사회적 책임을 강조하고 이를 운영방식의 기반으로 채택할 경우, 환경보호 성과 및 기업 재무 및 품질 성과를 개선하는데 녹색 협력 및 생산의 효과가 커질 수 있다. 반면에 환경규제는 녹색 협력을 통한 성과개선에 간접적으로 부정적인 효과를 주는 것을 알 수 있다. 따라서 환경보호를 목적으로 기업 간 협력관계를 통해 기업의 성과를 높이는데 환경규제가 악영향을 줄 수 있다는 것이다. 본 연구는 중국 제조기업의 녹색 공급망 관리 및 사회적 책임의 현재 수준을 알아보고 녹색 공급망 관리 하의 실무적 관행이 환경보호뿐 아니라 기업 재무/품질 성과에 영향을 미친다는 사실을 확인하였다는데 의의가 있다. 이를 통해 중국 제조기업이 환경친화적 운영방식을 채택하는데 긍정적인 동기 부여를 하고자 한다. The aim of this study is to provide motivation and practical implication for Chinese manufacturing companies to achieve their win-win opportunities in a global supply chain. Structural equation modeling has been applied to test hypothesis about GSCM practices (green cooperation and production) association with corporate performances (environment protection, financial and quality improvement), moderation effect of CSR relational governance on the asso ciation between GSCM practices and performances and mediation effect of environmental regulation on basic hypothesis by using survey data collected from 296 Chinese manufacturing companies. This study shows that green cooperation of Chinese manufacturing companies affects their financial and quality improvement as well as environmental protection, while green production affects negatively their overall performances. CSR governance moderates the effect of GSCM practices on performance improvement. CSR relational governance can be beneficial for GSCM practices to improve environmental and economy performances. There exists negative mediation effect of environmental regulation on overall performances through green cooperation. Environmental regulation can be detrimental for green cooperation to bring environmental and economy performances. This study contributes to understand current level of GSCM practices in China and CSR relational governance and identify that GSCM practices provide motivations for Chinese manufacturers to achieve the win-win opportunities in a global supply chain.