• 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.

• 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.

• 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.

• Management & Information Systems Review
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• v.25
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• pp.43-68
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• 2008

From intuitional viewpoint many researchers have been considering that information technology investment serves to increase the productivity and the profitability of firm. But the empirical studies that have examined the relationship between information technology investment and firm performance have reported mixed findings. In spite of that, recently there has been growing recognition of the importance of assessing information technology investment in determining future performance of firms. This study examines the relationship between investment in information technology and performance of securities companies in Korea. I use Tobin's Q, a financial market-based measure of firm performance and investigates the pure effect of information technology investment on firm performance after controlling for a variety of firm specific variables which may affect on firm performance. This study finds that information technology investment have a significantly positive association with Tobin's Q. This result implicates that information technology investment contributes to a firm's future performance potential.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.89-94
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• 2023

Recently, credit risk in the Chinese corporate bond market has increased significantly, and there is a possibility that banks that have invested in corporate bonds may become insolvent. The purpose of this study is to empirically analyze the effect of Chinese commercial banks' investment in securities on financial performance. The analysis results are as follows. First, it is estimated that as the share of securities investment by Chinese commercial banks increases, the bank's profitability decreases. It was found that investment in securities did not have a positive impact on profitability due to the increase in credit risk in the corporate bond market and the increase in marginal companies. Second, it is estimated that as the proportion of securities investment by Chinese commercial banks increases, the bank's soundness deteriorates. As credit risk in China's capital market is increasing, continuous management of non-performing assets is required. Chinese commercial banks need portfolio management through securities investment in addition to loan assets to improve profitability. However, volatility should be managed by adjusting the scale of securities management to an appropriate level.

• Journal of Family Resource Management and Policy Review
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• v.8 no.1
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• pp.29-45
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• 2004

This study compared household's investment behaviors over consumer's ages before and after the economic crisis using 1995 and 2000 National Survey of Family Income and Expenditure in korea. Household's investment behaviors were compared in terms of household's financial statements, amounts and proportions invested in various assets, and rate of return on investments. The proportion invested in securities of all households. In terms of the proportion invested, consumers under 40s increased the proportion invested in insurance while consumers over 50s increased the proportion invested in savings and trusts in 1995 than in 2000. Consumers of all ages increased the proportion invested in securities in 2000 than in 1995. Young households had higher rate of return in 1995 while old households had higher rate of return in 2000.

• The Korean Journal of Financial Studies
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• v.3 no.2
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• pp.259-265
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• 1996

• Asian Journal of Business Environment
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• v.5 no.3
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• pp.17-21
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• 2015

Purpose - This paper compares current requirements for depreciation accounting from the Financial Accounting Standards Board in America for equity securities and all debt securities with determinable fair value, and disclosure requirements related to the fair value of securities below registered cost with the requirements of the international Financial Reporting Standards Board and accounting standards committee. Research design, data, and methodology - Mini-review statements are examined relating to depreciation of investments in America and the Financial Accounting Standards depreciation of investments in Iran that meet the requirements of international reporting standards and the Iranian Accounting Standards Committee. Results - Accounting rules for depreciation of investments in securities requires a good deal of judgment. In particular, devaluation decisions during the recession and market crisis were controversial, although even with no clear guidelines on devaluation, sometimes such decisions were simple. Conclusions -Companies can choose from formal policies applied uniformly and documentations of interest to provide a summary of the principles and conclusions obtained through disclosure, enabling market participants to assess the entity's conclusions reasonably, thereby easing investor and market worries.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.31-40
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• 2020

This study investigates whether other comprehensive income (OCI) reported in the statement of comprehensive income (one of the main financial statements after the adoption of K-IFRS) predicts a firm's future performance. Using the quarterly data of Korean listed companies, we examine the association between OCI estimates and future earnings. First of all, we find that OCI is positively associated with earnings in both 1- and 2-quarter ahead, supporting the predictive value of OCI. When we break down OCI into its individual components, our results suggest that the net unrealized gains/losses on available-for-sale (AFS) investment securities are positively associated with future earnings, while the other components (e.g., net unrealized gains/losses on valuation of cash flow hedge derivatives) present insignificant results. In addition, we investigate whether the reliability in OCI estimates enhances the predictive value of OCI to predict future performance. We find that the predictive ability of OCI, in particular the net unrealized gains/losses on available-for-sale (AFS) investment securities, becomes more pronounced when firms are audited by the Big 4 audit firms. Overall, our study suggests that information content embedded in OCI can provide decision-useful information that is helpful for the prediction of future firm performance.