• Title/Summary/Keyword: Financial Big data

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A Study on Space Utilization according to Changes in Non-face-to-Face Consumer Use : Focused on bank offices

  • Hwang, Sungi;Ryu, Gihwan;Yun, Daiyeol;Kim, Heeyoung
    • International Journal of Advanced Culture Technology
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    • v.8 no.4
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    • pp.271-278
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    • 2020
  • Modern financial services go beyond the stage of internet banking, and new concepts of financial transactions such as Internet of Things, mobile banking, electronic payments, and fintech have emerged. As a result, banks are less influential in financial transactions, and changes are being demanded. In the present era, the basic business of banks has decreased, and it is transforming into a space where both consumer finance work and reside. The bank office stands for the brand image of the bank, and it is represented by trust with customers in the basic business of financial transactions, and the rise in real estate value is a natural social phenomenon due to the nature of the location and location of real estate owned by the bank. The business method and space of the bank office that meets the new paradigm of the modern society is an inefficient space only for the convenience and rest of consumers, but it must be used as a variety of spaces suitable for the region to increase the functional value of the bank office. Through this study, as a convenience space for consumers, various service facilities should be introduced to understand the characteristics of the region as a convenience space for consumers, and various service facilities should be introduced to meet the needs of consumers, and the bank office should be improved as a complex service space for local residents.

A Study on Big Data Based Investment Strategy Using Internet Search Trends (인터넷 검색추세를 활용한 빅데이터 기반의 주식투자전략에 대한 연구)

  • Kim, Minsoo;Koo, Pyunghoi
    • Journal of the Korean Operations Research and Management Science Society
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    • v.38 no.4
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    • pp.53-63
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    • 2013
  • Together with soaring interest on Big Data, now there are vigorous reports that unearth various social values lying underneath those data from a number of application areas. Among those reports many are using such data as Internet search histories from Google site, social relationships from Facebook, and transactional or locational traces collected from various ubiquitous devices. Many of those researches, however, are conducted based on the data sets that are accumulated over the North American and European areas, which means that direct interpretation and application of social values exhibited by those researches to the other areas like Korea can be a disturbing task. This research has started from a validation study against Korean environment of the former paper which says an investment strategy that exploits up and down of Google search volume on a carefully selected set of terms shows high market performance. A huge difference between North American and Korean environment can be eye witnessed via the distinction in profit rates that are exhibited by the corresponding set of search terms. Two sets of search terms actually presented low correlation in their profit rates over two financial markets. Even in an experiment which compares the profit rates with two different investment periods with the same set of search terms showed no such meaningful result that outperforms the market average. With all these results, we cautiously conclude that establishing an investment strategy that exploits Internet search volume over a specified word set needs more conscious approach.

Performance Consequences of Convergence and Divergence in Strategic Positioning

  • Park, Kyung-Min
    • 한국산학경영학회:학술대회논문집
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    • 2005.11a
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    • pp.73-94
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    • 2005
  • This paper investigates the performance consequence of strategic changes when firms move closer to or further away from other firms in the industry. The study suggests a theoretical framework and hypotheses on the effect of strategic convergence and divergence on performance, and tests hypotheses with firm-level longitudinal data on the U.S. food processing industry during the period of 1985-2000. The study shows that strategic divergence is negatively related to performance, and that organizational size and firm-specific uncertainty significantly influence the effect of strategic convergence and divergence on financial performance. Particularly, high uncertainty seems to be conducive to financial performance improvement for organizations undergoing significant strategic changes converging toward other competitors. On the other hand, big organizational size seems to be beneficial for finns implementing strategic changesdiverging from other competitors.

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FINITE DIFFERENCE METHOD FOR THE TWO-DIMENSIONAL BLACK-SCHOLES EQUATION WITH A HYBRID BOUNDARY CONDITION

  • HEO, YOUNGJIN;HAN, HYUNSOO;JANG, HANBYEOL;CHOI, YONGHO;KIM, JUNSEOK
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.23 no.1
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    • pp.19-30
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    • 2019
  • In this paper, we develop an accurate explicit finite difference method for the two-dimensional Black-Scholes equation with a hybrid boundary condition. In general, the correlation term in multi-asset options is problematic in numerical treatments partially due to cross derivatives and numerical boundary conditions at the far field domain corners. In the proposed hybrid boundary condition, we use a linear boundary condition at the boundaries where at least one asset is zero. After updating the numerical solution by one time step, we reduce the computational domain so that we do not need boundary conditions. To demonstrate the accuracy and efficiency of the proposed algorithm, we calculate option prices and their Greeks for the two-asset European call and cash-or-nothing options. Computational results show that the proposed method is accurate and is very useful for nonlinear boundary conditions.

A Study on the Effect of Information Security Compliance and Crisis Management on Information Security Trust (정보보안 컴플라이언스와 위기대응이 정보보안 신뢰에 미치는 영향에 관한 연구)

  • Yoon, Il-han;Kwon, Sun-dong
    • Information Systems Review
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    • v.17 no.1
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    • pp.141-169
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    • 2015
  • Electronic financial accidents are constantly happening and these accidents are taking place by a combination of several causes such as technique, human, and structure. Among electronic financial accidents, personal information disclosure is most frequently happening and becomes big problems, because secondary damage like voice phishing causes great loss to society. This research model is that financial information security compliance affects the crisis response of financial institutions and financial authorities and these crisis responses affect financial information security trust. Research target is people who experienced the disclosure of their own financial information. For empirical verification, survey questionnaires were distributed and total 103 questionnaires were collected and analyzed. As results of data analysis, all hypotheses were accepted. First, financial information security compliance influenced the crisis response of financial institutions and authorities. Second, the crisis response of financial institutions and authorities affect financial information security trust. Third, at the moderating effect analysis, the importance of personal financial information moderated the effect of the crisis response of financial institutions on financial information security trust. And the disclosure level of personal financial information moderated the effect of the crisis response of financial authorities on financial information security trust.

A Study on Authentication Method for Secure Payment in Fintech Environment (핀테크 환경의 안전한 결제를 위한 인증 기법에 관한 연구)

  • Park, Jung-Oh;Jin, Byung-Wook
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.25-31
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    • 2015
  • FinTech(Financial Technology) is defined as the technique to create efficient financial services using IT technologies. FinTech is an innovative technology through IT platform and big data, and is expected to improve the security and problems of the conventional banking system. Domestic financial institutions has introduced the technologies and investment in order to provide safe and effective services to users. However, In the financial environment, information disclosure and security incident has occurred so they has lost the trust from their customers. Moreover new variant of the security threats and attack techniques have occurred. Therefore, in this paper, we designed a authentication scheme for secure payment system in FinTech environment. The proposed study evaluated the stability of the existing security systems with respect to attack methods occurred in the financial environment.

Study on Confucian Politics about the Annals of the Choson Dynasty through Big Data Analysis (조선왕조실록의 빅데이터분석을 통한 유교정치 연구)

  • Moon, HyeJung
    • The Journal of the Korea Contents Association
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    • v.18 no.7
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    • pp.253-261
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    • 2018
  • The purpose of this study is to find the theories of public policy in Confucian politics during Choson Dynasty. As a result of the analysis, there are five implications. First, the area of Confucian policy of Choson consisted in authority, organization, financial policy, affection for the people, and li(ritual propriety). Second, major political context had been maintained from King Se-Jong, through King Sung-Jong and King Yeong-Jo to King Jeong-Jo in the perspective of dynasties' characteristic. Third, there were major ideas on Confucius's idea for li in early period, $Zh{\bar{u}}z{\check{i}}^{\prime}s$ idea for the authority in late period and Mencius's idea for financial policy in major risk situation. Fourth, there were five periods with establishment, foundation, crisis, restoration and collapse in the change of public policy. Fifth, $Zh{\bar{u}}z{\check{i}}^{\prime}$ and $Ch{\acute{e}}ng{\cdot}zi$ had influenced bigger than Confucius as a factors of policy making. This study has been promoted the complement of context analysis and understanding of semantic analysis with implementing dictionary using two language with Korean and Chinese.

Analysis of Current Situation of University Student Loans Based on Bigdata (빅데이터 기반 대학생 학자금 대출 현황 분석)

  • Kim, Jeong-Joon;Jang, Sung-Jun;Lee, Yong-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.5
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    • pp.229-238
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    • 2019
  • Before the scholarship loan system was implemented at the Korea Scholarship Foundation, the government's role was strengthened by the direct lending of student funds to banks and other financial institutions. However, the low repayment performance of student loans has raised concerns over the future of student loans and the government's financial burden. Moreover, since student loans are repaid even after graduating from college to support low-income families, it is highly unlikely that the repayment rate of student loans will improve unless the employment rate and income level of the borrower improve. In this paper, the final visualization graph is presented of the repayment amount of the student loan through the collection, storage, processing and analysis phase in the Big Data-based system. This could be the basis for visually checking the amount of student loans to come up with various ways to reduce the burden on the current student loan system.

A Study on Classification Models for Predicting Bankruptcy Based on XAI (XAI 기반 기업부도예측 분류모델 연구)

  • Jihong Kim;Nammee Moon
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.8
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    • pp.333-340
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    • 2023
  • Efficient prediction of corporate bankruptcy is an important part of making appropriate lending decisions for financial institutions and reducing loan default rates. In many studies, classification models using artificial intelligence technology have been used. In the financial industry, even if the performance of the new predictive models is excellent, it should be accompanied by an intuitive explanation of the basis on which the result was determined. Recently, the US, EU, and South Korea have commonly presented the right to request explanations of algorithms, so transparency in the use of AI in the financial sector must be secured. In this paper, an artificial intelligence-based interpretable classification prediction model was proposed using corporate bankruptcy data that was open to the outside world. First, data preprocessing, 5-fold cross-validation, etc. were performed, and classification performance was compared through optimization of 10 supervised learning classification models such as logistic regression, SVM, XGBoost, and LightGBM. As a result, LightGBM was confirmed as the best performance model, and SHAP, an explainable artificial intelligence technique, was applied to provide a post-explanation of the bankruptcy prediction process.

Relationship of the Big Five Personality Traits and Risk Aversion with Investment Intention of Individual Investors

  • SARWAR, Danish;SARWAR, Bilal;RAZ, Muhammad Asif;KHAN, Hadi Hassan;MUHAMMAD, Noor;AZHAR, Usman;ZAMAN, Nadeem uz;KASI, Mumraiz Khan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.819-829
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    • 2020
  • This empirical research is aimed at testing the relationship of the big five personality traits namely openness to experience, extraversion, consciousness, agreeableness, neuroticism, and risk aversion with the investment intention of individual investors belonging to Balochistan, Pakistan. The primary data is collected through a self-administered questionnaire (a structured form that consists of a series of closed-ended and open-ended questions) from a sample of 397 active individual investors belonging to different districts of the province. The data is empirically analyzed by applying the Partial Least Square (PLS) path modeling technique by using the estimation package available in Smart-PLS. The findings of this study suggest that all the variables are statistically significant with investors' investment intention with risk aversion as the strongest predictor. Moreover, openness to experience, extraversion, consciousness, agreeableness, and risk are significantly and positively related to an investor's investment intention, whereas neuroticism is negatively related to an investor's investment intention. The results extended by this study can be used by financial planners and investment bankers to channelize the available financial resources in diversified portfolios. The results will help financial planners to make available diverse investment alternatives for investors in Balochistan, thus catering to their unique needs. Academia must offer courses on contemporary finance paradigm based on behavioral finance to enable future business graduates to make wise financial decisions.