• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.189-203
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• 2020

Purpose - This study aims in analyzing the dynamic relationship between household loans and housing prices according to the characteristics of depository institutions after the financial crisis, identifying the recent trends between them, and making policy suggestions for stabilizing house prices. Design/methodology/approach - The monthly data used in this study are household loans, household loan interest rates, and housing prices ranging from January 2012 to May 2020, and came from ECOS of the Bank of Korea and Liiv-on of Kookmin Bank. This study used vector auto-regression, generalized impulse response function, and forecast error variance decomposition with the data so as to yield analysis results. Findings - The analysis of this study no more shows that the household loan interest rates in both deposit banks and non-bank deposit institutions had statistically significant effects on housing prices. Also, unlike the previous studies, there was statistically significant bi-directional causality between housing prices and household loans in neither deposit banks nor non-bank deposit institutions. Rather, it was found that there is a unidirectional causality from housing prices to household loans in deposit banks, which is considered that housing prices have one-sided effects on household loans due to the overheated housing market after the financial crisis. Research implications or Originality - As a result, Korea's housing market is closely related to deposit banks, and housing prices are acting as more dominant information variables than interest rates or loans under the long-term low interest rate trend. Therefore, in order to stabilize housing prices, the housing supply must be continuously made so that everyone can enjoy housing services equally. In addition, the expansion and reinforcement of the social security net should be realized systematically so as to stop households from being troubled with the housing price decline.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.143-174
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• 2023

With the development of deep learning technologies, Artificial Intelligence powered Optical Character Recognition (AI-OCR) has evolved to read multiple languages from various forms of images accurately. For the financial industry, where a large number of diverse documents are processed through manpower, the potential for using AI-OCR is great. In this study, we present a configuration and a design of an AI-OCR modality for use in the financial industry and discuss the platform construction with application cases. Since the use of financial domain data is prohibited under the Personal Information Protection Act, we developed a deep learning-based data generation approach and used it to train the AI-OCR models. The AI-OCR models are trained for image preprocessing, text recognition, and language processing and are configured as a microservice architected platform to process a broad variety of documents. We have demonstrated the AI-OCR platform by applying it to financial domain tasks of document sorting, document verification, and typing assistance The demonstrations confirm the increasing work efficiency and conveniences.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.1
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• pp.173-180
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• 2009

It is difficult to predict non-stationary or chaotic time series which includes the drift and/or the non-linearity as well as uncertainty. To solve it, we propose an effective prediction method which adopts data preprocessing and multiple model TS fuzzy predictors combined with model selection mechanism. In data preprocessing procedure, the candidates of the optimal difference interval are determined based on the correlation analysis, and corresponding difference data sets are generated in order to use them as predictor input instead of the original ones because the difference data can stabilize the statistical characteristics of those time series and better reveals their implicit properties. Then, TS fuzzy predictors are constructed for multiple model bank, where k-means clustering algorithm is used for fuzzy partition of input space, and the least squares method is applied to parameter identification of fuzzy rules. Among the predictors in the model bank, the one which best minimizes the performance index is selected, and it is used for prediction thereafter. Finally, the error compensation procedure based on correlation analysis is added to improve the prediction accuracy. Some computer simulations are performed to verify the effectiveness of the proposed method.

• KDI Journal of Economic Policy
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• v.26 no.2
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• pp.209-247
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• 2004

Although various publicly reserved funds have recently come to the fore of academic and policy-making attention in Korea, researchers rarely take up the issue of the reserve fund retained from annual profits by the central bank (i.e., the Bank of Korea). Starting with the general public choice premise that bureaucrats seek to maximize their discretionary budget, this paper first provides a theoretical reasoning why central bank's bureaucrats would prefer retaining annual profits to turning them to the Treasury. The major tenet to be emphasized is that retained profits as a reserve fund can give the central bankers discretionary power in their disposition. In particular, we focus on the close relationship between the reserve fund and the discount windows. The latter, as a monetary instrument, has traditionally been demonstrated to cause secrecy, arbitrariness, and other bureaucratic amenities in the previous literature. Subsequently, this paper, based on 61 countries data, empirically verifies that the central bank's reserve fund is at least partially used to additionally increase the discount windows. Since an excessive use of discount windows results in inflationary bias, we conclude the paper with some policy suggestions to have such bureaucratic power of discretion in check. This paper, if in its experimental nature yet, is expected to shed a critical implication for establishing the meaningful independence of the central bank to a host of countries.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.38 no.4
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• pp.265-275
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• 2005

A prerequisite for deriving the abundance estimates from acoustic surveys for commercially important fish species is the identification of target strength measurements for selected fish species. In relation to these needs, the goal of this study was to construct a data bank for converting the acoustic measurements of target strength to biological estimates of fish length and to simultaneously obtain the target strength-fish length relationship. Laboratory measurements of target strength on 15 commercially important fish species were carried out at five frequencies of 50, 70, 75, 120 and 200 kHz by single and split beam methods under the controlled conditions of the fresh and the sea water tanks with the 389 samples of dead and live fishes. The target strength pattern on individual fish of each species was measured as a function of tilt angle, ranging from $-45^{\circ}$ (head down aspect) to $+45^{\circ}$ (head up aspect) in $0.2^{\circ}$ intervals, and the averaged target strength was estimated by assuming the tilt angle distribution as N $(-5.0^{\circ},\;15.0^{\circ})$. The TS to fish length relationship for each species was independently derived by a least-squares fitting procedure. Also, a linear regression analysis for all species was performed to reduce the data to a set of empirical equations showing the variation of target strength to a fish length, wavelength and fish species. For four of the frequencies (50, 75, 120 and 200 kHz), an empirical model for fish target strength (TS, dB) averaged over the dorsal sapect of 602 fishes of 10 species and which spans the fish length (L, m) to wavelength (\Lambda,\;m)$ ratio between 5 and 73 was derived: $TS=19.44\;Log(L)+0.56\;Log(\Lambda)-30.9,\;(r^2=0.53)$.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4895-4900
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• 2014

This study examined the impact of Government-ownership of banks on the firm size using South Korean data. The impact of Government ownership of banks as both the largest lender of government banks and the bank loan dependency of firms on government-ownership bank were measured. Empirical models considering endogenous problems and various effects of firm size were developed. All results in this paper showed that government-ownership of the main banks might have a relationship with the smaller firms. In addition, the bank loan dependency of firms on government-ownership banks might have effects on the firm size. A higher loan dependency of firms on government-owned banks resulted in smaller firms. This study used micro firm level data to analyze, from several perspectives, the relationship between government-owned banks and firm size. The existing studies go as far as inferring the effects of government-owned banks showing theoretical evidence, performing surveys, or using international comparison data. This study is differentiated from existing studies in that it analyzed in a direct manner the effects of the government-owned banks on both the firm size. This study provides insights into the privatization of government-owned banks.

• Communications for Statistical Applications and Methods
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• v.17 no.4
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• pp.599-609
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• 2010

Many of financial data are explained via diffusion models in modern financial research. Various types of estimation methods of diffusion processes were suggested by many authors. In this paper, we tested the properties of the NLL estimation method, suggested by Shoji and Ozaki (1998), of diffusion processes in the view of the bias and variance of the estimators and applied the method to estimate the model parameters for the U.S. fedral funds rate data and Korean inter-bank exchange rate data. By simulation study we showed that the NLL method provides relatively good estimators, in the meaning that the estimator has less bias than the Euler method, while keeping the variance similar level. We also provide the NLL estimates of U.S fedral funds rate data and Korean inter-bank exchange rate data.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1313-1325
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• 2017

Economic statistics such as GDP, consumer prices, balance of payments, and unemployment rates are regularly measured over time. One of the best way to understand economic statistics is to visualize economic statistics as a picture. This makes it easier to grasp patterns of economic statistics and to communicate with users. The web technologies and the visualization tools make it possible to create dynamic and interactive visualization of economic statistics. Statistics Korea and the Bank of Korea provide various data visualization relating to official statistics such as infographics and dynamic charts. This paper presents an overview of visualization of Statistics Korea and the Bank of Korea. It also discusses a future direction to explore the visualization of Korean economic statistics.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.793-796
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• 2015

Background: Chronic lymphoid leukemia (CLL) is not an uncommon hematological malignancy which primarily affects elderly individuals. It is more common in developed world than in developing countries. The rational of this study was to determine the clinico-hematological profile in Pakistan. Materials and Methods: In this prospective cross sectional study, sixty patients with CLL were enrolled from January 2011 to June 2013. Data were analyzed with SPSS version 21. Results: The mean age was $59.0{\pm}9.2years$ (range 40-82) and the male to female ratio was 2.1:1. Peak age group was 60-70 years (38.3%) and 18.3% were under 50 years old. Major complaints were weakness (51.7%), fever (18.3%) and abdominal discomfort (13.3%). Main clinical findings were splenomegaly (46.6%), lymphadenopathy (36.6%) and pallor (26.7%). Some 16.7% were diagnosed incidentally. The mean hemoglobin was $10.8{\pm}2.4g/dl$, with a total leukocyte count of $91.5{\pm}87.8{\times}10^9/l$ and platelets $197.8{\pm}103.2{\times}10^9/l$. Anemia and thrombocytopenia were seen in 26.7% and 21.7% of cases, respectively. High LDH and hyperuricemia were detected in 15% each and elevated serum creatinine was seen in 11.6%. According to Rai staging 11.6% were in stage 0, 13.3% stage 1, 26.7% each for stage II and stage III while 21.7% patients were in stage IV. Conclusions: CLL in our patients in Pakistan, unlike in the West, is seen in a relatively young population with male predominance. Primarily disease is of B-cell origin and about 2/3 of the patients present at advanced stage.

• Korean Journal of Ecology and Environment
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• v.37 no.4 s.109
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• pp.400-405
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• 2004

Since a large bank-protection works project was undertaken during winter in the middle reaches of the Chikuma, the riverbed structure was drastically altered. In order to assess the short-term impact of bank-protection works on the abundance Pattern of Stenopsyche marmorata (Trichoptera) from spring to early summer, we conducted an investigation on the capture of adults using light traps before and after construction work. The patterns of the daily capture of S. marmorata and the Namely, after construction, the daily catch of adult numbers increased only slightly during the investigation periods. This suggested that the age structure of the S. marmorata larval population had changed in the construction area. Our data suggest that bank-protection projects impact the abundance pattern of adult caddisflies in the river ecosystem.