• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.249-258
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• 2021

Bitcoin prices have been soaring recently as investors flock to cryptocurrency exchanges. The purpose of this study is to predict the Bitcoin price using a deep learning model and analyze whether Bitcoin is profitable through investment strategy. LSTM is utilized as Bitcoin prediction model with nonlinearity and long-term memory and the profitability of MA cross-over strategy with predicted prices as input variables is analyzed. Investment performance of Bitcoin strategy using LSTM forecast prices from 2013 to 2021 showed return improvement of 5.5% and 46% more than market price MA cross-over strategy and benchmark Buy & Hold strategy, respectively. The results of this study, which expanded to recent data, supported the inefficiency of the cryptocurrency market, as did previous studies, and showed the feasibility of using the deep learning model for Bitcoin investors. In future research, it is necessary to develop optimal prediction models and improve the profitability of Bitcoin investment strategies through performance comparison of various deep learning models.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.4
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• pp.39-47
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• 2015

"Series A Crunch"problem has become worse off as funding gap between angel seed investment and traditional VC Series A investment is getting the larger due to big boom over early startup investment both in Korea and US. The strong needs for new concept of fund alternative such as bridge fund is outstanding to fill up the funding gap in the early stage of venture investment. This research is brought to define the concept of 'Series A Crunch' problem and to diagnose its causes, eventually, popping up 'the concept of Micro VC Fund' to come up with this problem in Korea. Also, this paper suggests the policy alternatives to introduce Mivro VC Fund and accommodate its successful performance.

• Asian Journal of Business Environment
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• v.10 no.4
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• pp.5-13
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• 2020

Purpose: The purpose of this paper is to empirically investigate the relationship between government subsidies and research and development (R&D) investment of animal husbandry companies in China. The moderating effects of firm size, debt ratio, and firm profitability on this relationship are also examined. Research design, data and methodology: The analysis is based on 14 animal husbandry companies listed on the Shanghai and Shenzhen stock exchanges over the period of 2012-2016. Data are obtained from the China Stock Market & Accounting Research (CSMAR) database and the RESSET database, and multiple regression analysis is utilized with the aid of Stata. Results: The empirical results show that government subsidies can promote R&D investment of animal husbandry companies in China. In addition, firm size, debt ratio, and firm profitability have positive moderating effects on the relationship between government subsidies and R&D investment. Conclusions: Based on the results, the paper concludes that government subsidies play an important role in the process of R&D of China's animal husbandry companies. This paper recommends that managers of animal husbandry companies should enhance the utilization efficiency of government subsidies and put great emphasis on R&D investment. The policymakers should implement more incentives to encourage animal husbandry companies to invest more in R&D.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.625-633
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• 2021

Bangladesh's growing foreign aid has sparked controversy over whether it affects the country's economic performance. This review assesses foreign aid's influence on the country's economic growth with annual data covering the 1989-2018 period. The Autoregressive Distributed Lag (ARDL) model is applied to achieve the research objective, and the empirical results indicate a substantial and robust impact of foreign assistance on economic growth. The outcome further reveal that domestic investment also contributes significantly to the country's economic evolution. However, trade openness plays a substantial positive role in the short run, although the impact is immaterial in the long run. The empirical findings indicate that the association between aid, domestic investment, and growth has a confident meaningful effect at 1 per cent level in the long run, whereas aid influences more than domestic investment. However, in the short run, aid, domestic investment, trade openness, and growth show positive and noteworthy response also at 1 percent level. This review undertakes a detailed analysis about the country's economic growth, and grounded on its outcome, this work suggests that focus should be placed more on creating domestic investment, promoting more export, and allocation of aid should be determined by the relative needs of the country.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.409-414
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• 2007

Over the past three decades, the impact of IT investments on firm performance has been the subject Q{active research. Although many studies have shown positive and significant benefits derived from IT investment, the findings of almost all these studies are based on data collected in developed countries. This study tries to investigate the effects of IT investment on firm financial performance in the Chinese electronics industry, a typical developing country, and compare it with the United States. Findings show that there is a positive impact of IT investment on firm performance in China. Moreover, the impact in China is not different from what occurred in the United States in the direction and the size against the assertion of previous studies and expectation.

• Korean Management Science Review
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• v.32 no.3
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• pp.91-103
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• 2015

This study recognizes that there is a correlation between the movement of the financial market and the sentimental changes of the public participating directly or indirectly in the market, and applies the relationship to investment strategies for stock market. The concerns that market participants have about the economy can be transformed to the search terms that internet users query on search engines, and search volume of a specific term over time can be understood as the economic trend of big data. Under the hypothesis that the time when the economic concerns start increasing precedes the decline in the stock market price and vice versa, this study proposes three investment strategies using casuality between price of domestic stock market and search volume from Naver trends, and verifies the hypothesis. The computational results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior in domestic stock market.

• Journal of Technology Innovation
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• v.6 no.2
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• pp.178-207
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• 1998

This article suggests a methodology to decide the priority of investment project for venture business under the dynamic circumstance. By the Monte Carlo procedure on the probability distribution of cost and revenue, the model simulates the investment project to estimate profit ratio and risk. The profit ratio is calculated on the yearly basis for the relative comparison. The project risk is calculated as semi-variance under the target yield. After sufficient simulations in this fashion for several projects, the efficient projects with more profit and less risk are selected by the dominance principle. Then the regression equation of the selected projects is produced to find the relative value of the projects. The relative value is obtained through dividing the raw profit ratio by the estimated one on the equation. This value shows the degree to which the simulated project yields over the equation. The priority of investment is decided by this value. An examplary venture business of chemical development for semi-conductor is presented as a case study.

• Korean System Dynamics Review
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• v.6 no.2
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• pp.25-35
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• 2005

This paper describes the mechanism for new investment to appear in waves of boom and bust causing alternative periods of over and under supply of electricity in Korean market. A system dynamics model was developed to describe the dynamic behavior of new investment in Korean market. The simulation results show the boom and bust cycle in the new investments. When the market price is high, investors decide to build new power plants. However, it takes some delay time to complete new power plants. When the new power plants are being added into the grid, the supply increases and the wholesale price begins to decrease. This causes the cancellation of new power plant or delay the construction. This mechanism causes the boom and bust cycle in new investment.

• East Asian Economic Review
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• v.16 no.2
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• pp.139-154
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• 2012

This paper provides a theoretical setup for an analysis of strategic relationships inherent to activities of an innovative multinational enterprise (MNE) and a local company in a host country. Additionally, we explore the incentives of the host country's government to provide subsidies to attract foreign direct investment (FDI) and to protect outcomes of R&D activities conducted by the MNE. We show that the MNE's commercial interests may collide with local companies' over protection of IPRs. Therefore, the extent of knowledge spillovers from the MNE to the local company and the magnitude of incentives to the MNE perform a crucial function in determining the optimal policy mix of IPR protection and FDI subsidies of the host country's government.

• The Southeast Asian review
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• v.19 no.1
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• pp.1-27
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• 2009

In the global economy, Korean foreign direct investment (FDI) to Southeast Asian countries expands rapidly as the countries try to make attracting investment strategies and to improve their investment condition. This paper, using panel-data for 2004-2006 in Indonesia, Vietnam and Malaya which are the main countries of Korean FDI for last ten years, shows analysis of the Korean FDI performance in Southeast Asia and compares the Korean firms' achievement with the case of China. According to the forty nine firms' official sources in Indonesia, Vietnam and Malaya, presented to the Export-Import Bank of Korea, over fifty percent of FDI consists of M&A. And Korean FDI has concentrated in the manufacturing industry. In order to measure the FDI performance, the study sets a regression function; operating profit ratio is the dependent variable and the total sales, expert ratio and investment period are the independent variables representing firms' volume, purpose of FDI and firms' adaptation to the local countries.