• Journal of Arbitration Studies
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• v.18 no.3
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• pp.51-69
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• 2008

The financial industry in which arbitration is most frequently resorted to so as to resolve disputes is the sector related to the securities industry. Most securities related disputes are raised from broker-dealer controversies which is not new in the Republic of Korea. The disputes between securities brokers and customers are very frequently settled by arbitration in the United States. But the arbitration in the securities area may deprive investors from securities regulation's protection. Introducing the United States' Federal Supreme Courts cases, the author explores the logic of how the pre-dispute arbitration agreement compatible with Securities regulations. However, the author insist the South Korea should more careful in accepting pre-dispute arbitration contract in securities area. Mostly because of the lack of more specific way to secure substantive fairness in securities arbitration. Also the author worries about the possibility of prevailing pre-dispute arbitration agreement in all of the securities investment contract without any other choices, or securities laws' protection. But the author also suggests to introduce public securities arbitration system of the States, and also insists the way to secure substantive fairness, or the application of securities regulations in securities arbitrations. Which may be the pre-requirements for the pre-dispute arbitration agreement in securities investment contract.

• 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.

• Korea Trade Review
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• v.47 no.3
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• pp.191-209
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• 2022

Whether or not insurance policies are securities has been debated for nearly a century. The position of claiming that an insurance policy has securities properties is premised on the concomitant nature of the maritime cargo insurance policy to the bill of lading. However, in reality today, marine cargo insurance policies are transferred between parties involved in international trade as an integral part of the bill of lading, and the two securities go through the same distribution process. The issue of recognizing the securities properties of an insurance policy is particularly debated when the insurance policy is issued in a order or bearer form. In a normal insurance policy, the name of the right holder, such as the claimant, is written on the insurance policy, and it is not usually transferred by endorsement. In principle, insurance policies are interpreted as neither securities nor negotiable securities. Sometimes, research is being done on legal reform to respond to digitalization of securities, and bills of lading are the subject of research. If marine cargo insurance policies, which are sometimes premised on distribution, have securities properties, the status of the regulations on digitization of bills of lading currently being studied may be helpful for digitization of marine cargo insurance policies. Under these circumstances, the securities of marine cargo insurance policies are reviewed based on recent practices.

• 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.

• Journal of Arbitration Studies
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• v.12 no.2
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• pp.221-262
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• 2003

In recent years, information technological revolution of using Internet in the Stock Market has shown reconsideration of Securities and Exchange Law. Since the 1998 Taipei Conference, ILA have studied upon it and presented 6th Interim Report during the 2000 London Conference. This paper summarizes a part of the 6th Interim Report. The Internet has created a medium to which traditional principles of jurisdiction may not have full relevance. To understand the jurisdictional issues posed by this new medium, we should first review the traditional principles of jurisdiction under international, U. S. law and Other Countries law. In previous reports, the general principles of jurisdiction in international law have been described. These principles are, however, difficult to apply in the context of Internet and other forms of computerized securities trading. Regulators all over the world are trying to address and solve jurisdictional issues raised by the Internet. The traditional rules of jurisdiction in international law, grounded as they are on a geography-based approach, may be in the process of being undermined by the Internet and other global networks allowing for remote access to information and to markets.

• Journal of Arbitration Studies
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• v.14 no.2
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• pp.107-133
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• 2004

In these days, arbitration helps alleviate some of the burden of a heavy caseload from the judiciary and is a viable method to resolve disputes in a relatively quick and efficient manner. An award of punitive damages is often the most significant and detrimental part of an award arising from a judicial or arbitral proceeding. In 1995, the United States Supreme Court resolved a circuit split. upholding an arbitral panel's authority to award punitive damages under a securities arbitration agreement. This decision was monumental in establishing arbitral power. However, it left several questions unanswered. For example, which, if any, standards should be applied to such awards？ The decision in Sawtelle, adopting a separate ground for review of punitive damages awards, is one that signals a significant change in the field of arbitration. This article addresses the reviewability of punitive damages awards arising out of a securities arbitration hearing. It would be necessary to introduce securities arbitration system to our disputes resolution system. Compared to American practices, there could be many differences in recognition on arbitration and legal structure in our country. Thus it will be a future assignment to consider seriously and carefully what kind of securities arbitration system will be proper for us. This article analyzed predispute arbitration agreements and agreements to arbitrate after a dispute has already arisen.

• 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.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.11-18
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• 2022

Securities and investment services have and use large data. Investors started to invest through their own analysis methods. There are 22 major securities and investment companies in Korea and only 6 companies support open API. Python is effective for requesting and receiving, analyzing text data from open API. Daishin Securities Co. is the only open API that officially supports Python, and eBest Investment & Securities Co. unofficially supports Python. There are two important differences between CYBOS plus of Daishin Securities Co. and xingAPI of eBest Investment & Securities Co. First, we must log in to CYBOS plus to access the server of Daishin Securities Co. And the python program does not require a logon. However, to receive data using xingAPI, users log on in an individual Python program. Second, CYBOS plus receives data in a Request/Reply method, and zingAPI receives data through events. It can be thought that these points will show a difference in response time. Response time is important to users who use open APIs. Data were measured from August 5, 2021, to February 3, 2022. For each measurement, 15 repeated measurements were taken to obtain 420 measurements. To increase the accuracy of the study, both APIs were measured alternately under same conditions. A paired t-test was performed to test the hypothesis that the null hypothesis is there was no difference in means. The p-value is 0.2961, we do not reject null hypothesis. Therefore, we can see that there is no significant difference between means. From the boxplot, we can see that the distribution of the response time of eBest is more spread out than that of Cybos, and the position of the center is slightly lower. CYBOS plus has no restrictions on Python programming, but xingAPI has some limits because it indirectly supports Python programming. For example, there is a limit to receiving more than one current price.

• 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.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.327-340
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• 2023

Purpose - The purpose of this study is to examine the information effect of securities firm's net operating capital, securities firm's regulatory purposes capital, by analyzing the value relevance of net operating capital. Design/methodology/approach - This study was empirically analyzed using samples of domestic listed securities firms in the past 12 years, and multiple regression analysis and Vuong (1989) test were used together as specific research methods. Findings - First, it was found that the net operating capital of securities firms has an incremental value relevance that is added to basic accounting information (equity book value, profit or loss information). Second, after classifying equity capital on the books into net operating capital and the rest of equity capital, the value relevance of net operating capital was significantly higher than that of other equity capital. Research implications or Originality - The results of this study indicate that the level of regulatory capital in the securities industry can be used in the process of evaluating firm value in the capital market, and it is significant in that capital market evaluation can be stratified according to regulatory purposes.