• Journal of Information Technology Applications and Management
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• v.14 no.4
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• pp.199-219
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• 2007

This research analyze the impact factors that affect the PI resistance of securities brokerage salespersons during Process Innovation in securities companies focusing on the broker's individual personality. After reviewing some related literatures, a survey was conducted at a domestic securities company with the derived factors from a focus group of securities salesmen with over 10 year work experience. The results show that broker's individual propensity to innovation, individual customer relationship and individual flexibility are closely related to the PI resistance. By controlling such factors for salespersons, securities companies can boost the ability to meet and control the changing situation and management innovation.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.102-108
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• 2019

Big data was associated with three key concepts, volume, variety, and velocity. Securities and investment services produce and store a large data of text/numbers. They have also the most data per company on the average in the US. Gartner found that the demand for big data in finance was 25%, which was the highest. Therefore securities and investment companies produce the largest data such as text/numbers, and have the highest demand. And insurance companies and credit card companies are using big data more actively than banking companies in Korea. Researches on the use of big data in securities and investment companies have been found to be insignificant. We surveyed 22 major securities and investment companies in Korea for activating big data. We can see they actively use AI for investment recommend. As for big data of securities and investment companies, we studied open API. Of the major 22 securities and investment companies, only six securities and investment companies are offering open APIs. The user OS is 100% Windows, and the language used is mainly VB, C#, MFC, and Excel provided by Windows. There is a difficulty in real-time analysis and decision making since developers cannot receive data directly using Hadoop, the big data platform. Development manuals are mainly provided on the Web, and only three companies provide as files. The development documentation for the file format is more convenient than web type. In order to activate big data in the securities and investment fields, we found that they should support Linux, and Java, Python, easy-to-view development manuals, videos such as YouTube.

• The KIPS Transactions:PartC
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• v.11C no.5
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• pp.577-584
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• 2004

Recently many company has been cracked by crackers information security and everyday new computer virus come out. so e-trade partners should prevent the disasters. A few studies researched e-trade securities broadly but the new trend in information security division especially focused on electronic payment, EDI, Transportation, Contracts, Insurances and that of subjects have been researched through interdisciplinary evolution. Our research e-trade security on three part, First system attack, second is data attack and third is business attack. the attacks have theirs own solution, so e-trade company use this solution timely and powerfully. It is the most important thing to prepare the cracking with securities system. also manager should catch recent hacking technologies. The research results propose that e-trade firms should use information security policies and securities systems that including H/W and S/W. therefore manager's security mind is very important and also using electronic commerce securities device and should be considered exploiting solutions by each special usage according to e-trade company' environments.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.97-104
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• 2021

Securities and investment services had the most data per company on the average, and used the most data. Investors are increasingly demanding to invest through their own analysis methods. Therefore, securities and investment companies provide stock data to investors through open API. The data received using the open API is in text format. Python is effective and convenient for requesting and receiving text data. We investigate there are 22 major securities and investment companies in Korea and only 6 companies. Only Daishin Securities Co. supports Python officially. We compare how to receive stock data through open API using Python, and Python programming features. The open APIs for the study are Daishin Securities Co. and eBest Investment & Securities Co. Comparing the two APIs for receiving the current stock data, we find the main two differences are the login method and the method of sending and receiving data. As for the login method, CYBOS plus has login information, but xingAPI does not have. As for the method of sending and receiving data, Cybos Plus sends and receives data by calling the request method, and the reply method. xingAPI sends and receives data in the form of an event. Therefore, the number of xingAPI codes is more than that of CYBOS plus. And we find that CYBOS plus executes a loop statement by lists and tuple, dictionary, and CYBOS plus supports the basic commands provided by Python.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.527-538
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• 2021

The purpose of the study is to determine the efficiency, position, and partner selection of securities companies via the negative super-SBM model used in data envelopment analysis (DEA). This model utilizes a variety of inputs, including current assets, non-current assets, fixed assets, liabilities, owner's equity and charter capital, and outputs including net revenue, gross profit, operating profit, and net profit after tax collected from the financial reports (Vietstock, 2020) of 32 securities companies, operating during the period from 2016 to 2019, negative data are collected as well. Empirical results determined both efficient and inefficient terms, and then further determined the position of each securities firm under consideration of every term. The overall score arrived at discovered a large performance change realizing a maximum score able to reach 20.791. In the next stage, alliancing inefficient companies was carried out based on the 2019 scores to seek out optimal partners for the inefficient companies. The tested result indicated that AAS was the best partner selection when its partners received a good result after alliancing, as with FTS (11.04469). The partner selection is deemed as a solution helpful to inefficient securities companies in order to improve their future efficiency scores.

• International Area Studies Review
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• v.22 no.3
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• pp.201-219
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• 2018

This paper suggested a theoretical model, in which a security-based(secured loan, non-secured loan) credit agreement determines the form of corporate cost function through a loaning company's cost minimization in the light of a company which behaves monopolistically in product markets. Also, this paper analyzed the influence of a corporate credit agreement on market equilibrium, and economic welfare in product markets. As a result, it was found that in case a company, whose equity capital is small, implements borrowing based on a secured loan from a financial institution, the company comes to face borrowing restraints, in which the company has no choice but to get a loan within the scope of securities. When a company offers its capital goods, i.e. a production factor, as a security, there occurs a distortion to the production factor input ratio. Meanwhile, when a company comes to get a loan based on an unsecured loan, for which the interest rate is high, marginal cost rises; accordingly, the company comes to choose a credit agreement aiming at maximizing its profits. However, a company's choice of a credit agreement is not quite desirable from a consumer's viewpoint, and from the whole economic point of view; overall, such a choice is likely to aggravate economic welfare.

• Asia Marketing Journal
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• v.3 no.1
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• pp.67-79
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• 2001

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.3
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• pp.483-493
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• 2006

The purpose of the study is to make a proposal of how to improve the separate account in Korean life insurance accounting and regulations. A separate account is required to improve the transparency of accounting and fairness of dividing the profit between company and lift insurance contractors. A separate account may be the first step to solve this conflict by clearing the profit sharing of shareholder's and contractor's of the insurance with dividend. The separate account should be designed to reflect the real economic consequences of insurance company and consider the real outcome of the performance-based insurance commodities. The separate account should contain the rules of IASs and KASs. If a separate account is successfully settled down, the portions of contractor's dividend and the dispute about initial public offering of insurance companies can be solved gradually.

• Journal of Legislation Research
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• no.41
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• pp.367-399
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• 2011

This Article examines the regulation of outsider trading under the Financial Investment Services and Capital Markets Act (the "Capital Markets Act"). Outsider trading occurs when a market participant who is not a traditional corporate insider trades securities based on either "inside" or "outside" nonpublic information. Unlike "inside" information, "outside" information is referred to as information not derived directly or indirectly from the issuer. "Outside" information includes both "corporate" and "market" information. "Corporate information" is information about events or circumstances which affect the company's assets or earning power. "Outside corporate information" is information about the company's assets or earning power not derived directly or indirectly from the issuer. "Market information" is information about events or circumstances which affect the market for a company's securities but which do not affect the company's assets or earning power. The Capital Markets Act prohibits both "temporary insiders" from using "corporate" information in trading securities and "outsiders" from using "market" information, such as (i) information regarding the initiation or discontinuance of a tender offer; or (ii) information regarding acquisition or disposition of stocks in bulk. However, the Act does not encompass circumstances (i) where an outsider trades securities based on confidential corporate information obtained through certain types of wrongful conduct; (ii) where an outsider trades securities based on corporate information obtained through eavesdropping; and (iii) where an outsider trades securities based on either outside corporate information or market information created by the outsider himself. In order to plug a few of the gaps left open in the law of outsider trading under the Capital Markets Act, this Article suggests that regulators adopt a relatively broad reading of the scope of ${\S}$ 178(1) of the Act, which is similar to SEC Rule 10b-5, to include outsiders with no relationship to the corporation that had issued the securities. Since ${\S}$ 178(1) of the Act does not require "deception" for liability, it would seem to evade the limitations imposed by the U.S. misappropriation theory. Key Words : Outsider Trading, Insider Trading, Material Nonpublic Information, the Capital Markets Act, Misappropriation Theory, Fiduciary Theory.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.242-243
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• 2003