• The Journal of Information Systems
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• v.28 no.4
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• pp.333-358
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• 2019

Purpose The study aims to develop a data-based decision model for private bankers when recommending hedge funds to their customers in financial institutions. Design/methodology/approach The independent variables are set in two groups. The independent variables of the first group are aggressive investors, active investors, and risk-neutral type investors. In the second group, variables considered by private bankers include customer propensity to invest, reliability, product subscription experience, professionalism, intimacy, and product understanding. A decision-making variable for a private banker is in recommending a first-rate general private fund composed of foreign and domestic FinTech products. These contain dependent variables that include target return rate(%), fund period (months), safeguard existence, underlying asset, and hedge fund name. Findings Based on the research results, there is a 94.4% accuracy in decision-making when the independent variables (customer rating, reliability, intimacy, product subscription experience, professionalism and product understanding) are used according to the following order of relevant dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on fund period, and step 4 on hedge fund name. Next, a 93.7% accuracy is expected when decision-making uses the following order of dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on underlying asset, and step 4 on fund period. In conclusion, a private banker conducts a decision making stage when recommending hedge funds to their customers. When examining a private banker's recommendations of hedge funds to a customer, independent variables influencing dependent variables are intimacy, product comprehension, and product subscription experience according to a categorical regression model and artificial neural network analysis model.

• 한국벤처창업학회:학술대회논문집
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• 2020.06a
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• pp.129-134
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• 2020

본 연구 목적은 MBTI에 의해 구분되는 인간의 성격유형에 따라 금융투자자들의 위험선호의 차이 유무, Private Banker의 투자 조언의 수용, 그리고 Private Bank Service의 사용의도에 어떠한 영향을 미치는지 알아보는 것이다. 또한 MBTI의 성격유형별 주기능 사용의 차이에 기인한 개인의 특성이 위험선호에 미치는 영향을 알아보는 것이다. 이를 위해 본 연구는 실험군인 고액자산가(HNWI)와 대조군인 학생의 MBTI 성격유형을 개별로 검사하고 Holt and Laury (2002)와 Weber et al. (2002)의 설문을 활용하는 실증적인 비교분석을 실시하였다. 본 연구의 결과, 첫째, Holt and Laury(2002)의 Lottery연구에서 고액자산가와 일반 대조군 그리고 MBTI의 주기능분류(ST, NF)에 따른 차이는 존재하였다. 특히 고액자산가의 경우 ST와 NF 그룹의 차이가 존재하는 것을 확인하였다. 둘째, Weber et al.(2002)의 위험 감수를 측정하는 심리측정 요인 중 Gamble(g) Recreation(r)의 특성이 고액자산가에서 위험선호도에 미치는 영향이 높은 것으로 나타났다. 이러한 결과는 개인의 일상생활에 관련한 특성 또는 금융과 관련 없는 취미생활이 개인의 위험선호도에 반영될 수 있음을 나타내는 것으로 기존의 문헌들의 연구결과를 지지한다고 할 수 있다. 셋째, MBTI의 선호지표점수에 따라 위험선호도에 차이가 존재하였다. MBTI T점수가 높을 경우 위험선호도가 낮은 것을 확인할 수 있었으며, 고액자산가그룹에는 영향이 없는 것으로 밝혀졌다. 넷째, MBTI 유형도표의 태도지표에 의해 구분된 유형들에 따라 전체 금융자산 대비 Private Banker를 이용하는 비율의 차이가 존재하는 것으로 밝혀졌다. 고액자산가를 대상으로 분석한 결과 태도유형 EP의 경우 다른 그룹에 비해 이용비율수준이 낮아 MBTI로 분류된 성격유형에 따라 전체금융자산 대비 Private Banker의 이용수준에도 영향이 있음을 확인하였다.

• Journal of Korean Society for Quality Management
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• v.32 no.3
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• pp.153-165
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• 2004

Recently, financial service industry of Korea started to pay attention to private banking targeting to the rich. However, as the advanced foreign competitors have entered the market, strategic approaches are needed focusing on the general rich rather than the exceptional VIPs. In this paper, we use QFD to provide marketing strategies for Korean financial service providers. Our finding is that ‘intangible service provided by private banker’ and ‘off-line sales’ have marketing priority and ‘investment management’ and ‘value-added service’ follow.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.355-368
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• 2013

In securities companies where corporate management performance is heavily dependent on the ability of salespeople, excellent sales-force with the ability to create high performance is very important. However, in the meantime, there was lack of studies on Private Banker's characteristics and sales behavior or sales performance. This study analyzed the effect of PB's characteristics on sales behavior in the Korean Securities Industry. The survey was conducted in March, 2013. 523 responses were used in the data analysis. As a result, PB's 4 characteristics- attitude to work, performance orientation, learning orientation, customer orientation- showed a positive impact on the sales behavior, and the organizational support showed positive moderating effect on this model. In this study, we reported that securities companies must reinforce training and self-development programs in order to improve the characteristics of the PB and to upgrade management performance. In particular, the securities has to rebuild organizational support system to improve the individual characteristics of the PB.

• Fourth Industrial Review
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• v.2 no.1
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• pp.19-32
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• 2022

Purpose - As new technologies that have led the 4th industrial revolution spread after the COVID-19 pandemic, the business crisis of existing financial institutions and the threat of employee jobs are growing, especially in the financial sector. The purpose of this study is to propose a human-technology convergence curriculum for creating high value-added in financial institutions and upskilling financial manpower. Research design, data, and methodology - In this study, a curriculum was designed to strengthen job competency for Private Bankers, high-quality employees of a bank dealing with high-net-worth owners. The focus of the design is that learners acquire skills to use robo-advisors as a tool and supplement artificial intelligence ethics. Result - The curriculum is organized into a total of 16 classes, and the main contents are changes in the financial environment and financial consumers, the core technology of robo-advisors and AI ethics, and establishment and evaluation of hyper-personalized asset management strategies using robo-advisors. To achieve the educational goal, two evaluations are performed to derive individual tasks and team project results. Conclusion - Human-centered upskilling convergence education will contribute to improving employee value and expanding corporate high value-added business areas by utilizing new technologies as tools. It is expected that the development and application of convergence curriculum in various fields will continue to be advanced in the future.

• Journal of Arbitration Studies
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• v.22 no.1
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• pp.65-88
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• 2012

Even though there are some discrepancies in detail with the legal characteristic of the issuing bank's notice to the beneficiary of opening of the letter of credit, article 25 of "the Korean Private International Act(hereunder, 'KPIA')" can be applied to the legal relation between the issuing bank and the beneficiary or the negotiating bank. According to article 26 of the KPIA, if there is no agreement between the issuing bank and its opponent party as to the governing law issues, a state's law which has the closest relationship with the subject case may be applied. In the latter case, given the facts that the issuing bank plays important roles in every phasis of the sale of goods by the letter of credit, a law of place where the issuing bank's business premises is situated(the $lex$ $situs$) can be the applicable law. Meanwhile, "the Korean Supreme Court(hereunder 'KSC')" held that the beneficiary or the negotiating bank can claim any damages arising due to the refusal or deferred payment of the issuing bank, and the law which governs the above mentioned situation is the same law that is applicable to the legal relation between the issuing bank and the beneficiary or the negotiating bank. The main reason of the KSC's ruling is that the nature of the legitimate interest rate which is stated in article 3 of "the Act on Special Cases concerning Expedition etc. of Legal Proceeding(hereunder 'ASCELP')" is substantial matters, not procedural. Taking into account, however, that the main object of ASCELP lies in expedition of legal proceeding, prompt realization of people's rights and duties, and prevention of delayed legal proceeding, it is recommendable that ASCELP, instead of the law applicable to the legal relation between the issuing bank and the beneficiary or the negotiating bank, should be applied to the cases in which the malicious debtor's only and main purpose is delaying the legal proceedings. On the other hand, even if the issuing bank's duty of examination of the documents which were tendered by the beneficiary or the negotiating bank is restricted to the formality and strict conformity of the documents and not the substantiality of the documents, the issuing bank still has to examine the documents with due diligence that is required to the banks whose main business is sales of documents, not the real goods. In this regard, under the circumstances where the document lacked the regularity and/or the formality on its face because of the forgery of the document and where it was expected that an ordinary banker might have easily found any faults with the document, the issuing bank must compensate any parties for damages when it pays money without due diligence as a banker who engaged in the sales of documents.

• Journal of Intelligence and Information Systems
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• v.15 no.4
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• pp.65-78
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• 2009

The rapid changes of financial environment have increased the need and demand for personal financial advisory service from financial experts. In particular, as the individual customers want to get more customized financial services, the financial institutions created the private banking (PB) sector and have constantly expanded their PB services. However, it remains still problematic that the private banking system requires high costs so that the number of eligible customers who can have proper PB services is quite limited. To solve this problem, we propose an intelligent agent that can provides specialized and customized personal financial advisory services to the customers with low costs. The proposed agent systemizes and structures the information and knowledge of financial experts in private banking services so that individual customers can easily access to high-quality PB services when they need. On the first attempt we develop a framework of U-smart PB, an intelligent agent for personal financial management based on different scenarios related to personal financial decisions, and derive its core services. This system not only provides information simply, but also proposes to support personal investment decisions technically as an intelligent agent that embodies real-time customized financial management in a ubiquitous environment, regardless of time and place.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.59-67
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• 2017

This study analyzes the efficiency of oriental hospitals using DEA(Data Envelopment Analysis). The input variables include the numbers of doctors, nurses, medical technicians, and beds. The output variable iscomprised of the sales account. The analysis tools used are EnPas and IBM SPSS Statistics 19. As a result of efficiency analysis, the private hospitals(establishment), less than 10 years in operation(operating period), containing less than 50 beds (number of the beds), located in the metropolitan area(location) showed high efficiency in the BCC(Banker, Charnes & Cooper) model, but indicated relatively low efficiency in CCR(Charnes, Cooper & Rhodes) model. This contradictory result is caused by inefficiencies in hospital size. The logistic regression analysis conducted to analyze the variables that affect the efficiency of oriental hospitals found that the efficiency decreased by 0.955 with each increase of 1 bed in the hospital.

• Communications for Statistical Applications and Methods
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• v.15 no.6
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• pp.925-937
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• 2008

In this study, we considered the clustering analysis for stock return traded in the stock market. Most of financial time-series data, for instance, stock price and exchange rate have conditional heterogeneous variability depending on time, and, hence, are not properly applied to the autoregressive moving-average(ARMA) model with assumption of constant variance. Moreover, the variability is font and center for stock investors as well as academic researchers. So, this paper focuses on the generalized autoregressive conditional heteroscedastic(GARCH) model which is known as a solution for capturing the conditional variance(or volatility). We define the metrics for similarity of unconditional volatility and for homogeneity of model structure, and, then, evaluate the performances of the metrics. In real application, we do clustering analysis in terms of volatility and structure with stock return of the 11 Korean companies measured for the latest three years.