• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.195-210
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• 2020

This study describes the structure of the capital markets for small- and medium-sized enterprises (SMEs) and startup companies in Korea, which is an emerging market that has experienced drastic changes. The overall capital market can be divided into private and public capital markets. In the private capital market, most of the demand for capital comes from non-listed private firms, including startups and SMEs. In the case of SMEs and startups, the KOSDAQ, the Korea New Exchange (KONEX), and primary collateralized bond obligations (P-CBOs) are part of the public capital market. SMEs and startups are generally incapable of raising sufficient capital owing to their low credit ratings, and they largely have limited access to primary markets to issue shares and borrow money. The Korean government has developed a systematic financial aid program to provide funds to these companies. The fund for SMEs has significantly contributed to the development of the venture capital market. Many Korean banks provide substantial lending to SMEs, but this lending is available only because of the Korean government's loan recovery guarantee. Furthermore, SMEs can issue corporate debt in the form of primary collateralized bond obligations through government guarantees, but such debt issuances have placed increasing pressure on public guarantee institutions.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.123-129
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• 2020

This scholarly work is an effort to capture the effects of oil prices on the actual exchange rate between dollar and rupee. This is done with reference to the U.S. dollar as oil prices are marked in USD (U.S. Dollar) in the international market, and India is among the top five importers of oil. Using monthly data from January 2001 to May 2020. The study used the real GDP, money supply, short-term interest rate difference between two countries, and inflation apart from the crude oil prices per barrel as the factors that help define the exchange rate. The analysis, through cointegration and vector error correction method (VECM), suggests long and short-run causality amid prices of oil and the rate of exchange fluctuations. Oil prices are found to be negatively related to the exchange rate in the long term but positively related in the short term. The result of the Wald test also indicates the short-run causation from the short-term interest rate and the prices of crude oil towards the exchange rate. The present study shows that oil prices are evidence of the existence of short-term and long-term driving associations with short-term interest rates and exchange rates.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.109-114
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• 2020

The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1159-1166
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• 2020

The religious organization members have a unique take on the spiritual factors related to their daily life. The present study contributed to the lack of discussion investigating this particular pool of data's financial behavior. This article regressed several predictors of economic behavior, i.e., the locus of control, financial attitude, income, and religiosity, with 460 respondents. The results of the research are as follows: Financial attitude partially influences the financial behavior of Muhammadiyah committee members. Income partially influences the financial behavior of Muhammadiyah committee members. This research indicates that income is one of the factors that plays an essential role in determining the merits of improvement of the financial behavior of Muhammadiyah committee members. The higher the level of income received by Muhammadiyah members, the higher the desire to spend the money. Religiosity partially influences the financial behavior of the religious board of Muhammadiyah members in Indonesia. The higher the religiosity of Muhammadiyah committee members will encourage better financial management. Religiosity indicates how often individuals or Muhammadiyah members practice the religious sharia that they embrace. The findings of this study reveal that locus of control, financial attitude, income, and religiosity are the strong predictors of the board of the religious organization's financial behavior in Indonesia.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.795-807
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• 2020

The more liquid the capital market, the more attractive it will be for investors to place their money in the capital market. Therefore, the purpose of this study is to investigate the factors that influence stock liquidity of manufacturing sector companies listed on the stock exchange in Indonesia. The independent variables used in this study are forward-looking information disclosure, institutional ownership, foreign ownership, and board activity with information asymmetry as an intervening variable and stock liquidity as the dependent variable. The population of this study is manufacturing sector companies listed on the Indonesian stock exchange (IDX). Samples are selected based on the random sampling method, and the number of samples is calculated based on the Slovin formula. The sample was 59 manufacturers, and data was annual reports (for 2 years) and stock transactions from 2016 to 2017. The results of the study showed that forward-looking information disclosure had a significant effect on information asymmetry. Information asymmetry and foreign ownership have a significant impact on stock liquidity, whereas information asymmetry mediates the relationship between forward-looking disclosures and stock liquidity. Furthermore, the accuracy of information about the certainty of business activity both now and in the future can instill confidence in stakeholders in interacting and cooperating.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.135-141
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• 2018

Recently online e-commerce system is grew up rapidly comparing to offline commerce and is made up actively in all commerce field. Offline commerce is uneffective because it is very complicated for distribution structure and spend too much money. On the other hand, existing online e-commerce system is reluctant for purchase because of not having their confidence of fruit's freshness. Therefore in my paper, as e-commerce system based on IoT using each sensors, RFID tags and networks is suggested, consumer can see freshness of fruits and make order it by on-line having assurance of it. Also it shows that this objected-oriented analysis and design method is very useful for the build of common use system from now on.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.109-116
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• 2020

The study examines the nexus between financial development and economic growth in India during Q1: 1996 to Q3: 2018. This study employs time-series data of real GDP and ratio of broad money to GDP as a proxy for economic and financial development, respectively. The data are obtained from RBI database on the Indian economy. All variables are seasonally adjusted using X12-arima technique and expressed in natural logarithm form. Non-linear Autoregressive Distributed Lag (NARDL) bound test has been used to check for cointegrating relationship of these two variables. Empirical findings suggest that, unlike in the short run, in the long run financial development does impact economic growth positively. Further, a symmetric effect of positive and negative components of financial development is found for the Indian economy, whereas the effect of control variable like exchange rate and trade openness is in consonance with common economic intuition. Exchange rate is in consonance with intuitive economic logic that a fall in exchange rate makes exports cheaper and increases the quantity of export, which improves the balance of payment and leads to a rise in aggregate demand, hence improves economic growth. This paper contributes to the existing literature on India by breaking down financial indicator into positive and negative components to examine the finance-growth relationship.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.103-113
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• 2019

The effectiveness of monetary policy critically depends upon how well the transmission mechanism functions, so that the desired impact on output and inflation is achieved. The purpose of this paper is to study the transmission mechanism of monetary policy by analyzing the impact on inflation and output during multiple indicator regime (1998-99 to 2014) in an emerging economy-India. The Inflation Targeting Regime is also briefly outlined alongwith the impact on output and inflation. Using quarterly data for the period 1997 to 2017, the paper uses weighted average call money market rate as a proxy for the policy rate and evaluates the strength of the interest rate channel. We use a conventional Structural vector auto regression (SVAR) methodology to evaluate the efficacy and show the impluse response functions. Our results find that changes in the policy rate impact output growth steeply with a lag of about two quarters and the impact on inflation is maximized after three quarters. The study concludes that the monetary policy in India has a significant impact on output and inflation in the short-to-medium-run. After the policy shock, the fall in the output growth rate is of greater magnitude than the fall in inflation.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.21 no.7
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• pp.841-848
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• 1997

Combustion of gaseous fuel combustor in a high temperature vitiated air stream was studied with computer simulation. It is for application to afterburner of gas turbine engine which the exact mechanism is not yet clarified. As the jet velocity from fuel nozzle is very high and the geometry of combustor is three dimensional complex structure, many time and money are required to have good results. To consider this demerit, it is simplified to 2-dimensional and modified with the nozzle hole area to same area of annual status. As the thickness of annual is too thin, it is to divide with the many grids for reasonable results. Accordingly, new method which injected fuel mass, momentum and energy are added to source terms of each governing conservation equation as a source terms is introduced like as two phase analysis. Reaction rate is determined by taking into account the Arrhenius reaction based on a single step reaction mechanism. It is focused to temperature and product concentration distribution at each equivalence ratio of inlet hot product.

• Korean Management Science Review
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• v.18 no.1
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• pp.69-78
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• 2001

An electronic micropayment system, one of electronic payment systems, is suitable especially when a small amount of money is to be paid frequently in order to purchase on-line goods (i.e. database search, software distribution, electronic news service, etc). In addition, since the amount of payment is small, possible damages caused by system failures are lower than other payment system. In this paper, a micropayment protocol in electronic commerce environments on the Internet is proposed, based on the PayWord system. And a micropayment electronic commerce system which executes the protocol proposed is implemented. Unlike the PayWord system, however, the micropayment protocol proposed in this paper is designed in such a way that a merchant does not need to request a payment at the end of every business day since a customer cannot purchase goods beyond length of hash chains, which is specified on a certificate. In addition, the system is able to check the validity as well as the duplicate spending of hash chains. The electronic micropayment system with the proposed protocol is consists of Customers, Merchants, and Brokers. Customers are implemented on Windows NT 4.0 using VC++. Merchants are implemented on Solaris 2.5.1 and gcc 2.8.0 using Netscape Web Server and CGI Methods. HP UX 10.20 is used for Brokers.