Pair trading is a statistical arbitrage investment strategy. Traditionally, cointegration has been utilized in the pair exploring step to discover a pair with a similar price movement. Recently, the clustering analysis has attracted many researchers' attention, replacing the cointegration method. This study tests a clustering-driven pair trading investment strategy in the Korean stock market. If a pair detected through clustering has a large spread during the spread exploring period, the pair is included in the portfolio for backtesting. The profitability of the clustering-driven pair trading strategies is investigated based on various profitability measures such as the distribution of returns, cumulative returns, profitability by period, and sensitivity analysis on different parameters. The backtesting results show that the pair trading investment strategy is valid in the Korean stock market. More interestingly, the clustering-driven portfolio investments show higher performance compared to benchmarks. Note that the hierarchical clustering shows the best portfolio performance.

This study attempted to propose a method of determining a project implementation area according to the purpose of the Offshore Project for Fishery Stock Enhancement after analyzing the regional economic effects in advance targeting the candidate regions for the Offshore Project for Fishery Stock Enhancement. The main results of this study can be summarized as follows: first, in comparison with the overall effect of the Offshore Project for Fishery Stock Enhancement to 2013, the production inducement coefficient increased by 0.08 in the region, but decreased by 0.39 in other regions and by 0.33 in the whole country. The value-added inducement coefficient increased by 0.01 in the region and by 0.06 in other regions, increasing 0.27 for the whole country. In the case of the employment inducement coefficient, the number of workers in the region decreased by 9.48 and increased by 0.3 in other regions, resulting in a decrease of 9.1 people in the whole country. Second, depending on the purpose of the Offshore Project for Fishery Stock Enhancement, an aggregating indicator of economic effects within the region, an aggregating indicator of economic effects in other regions, and an aggregating indicator of economic effects across the country were prepared to be used to determine the priority of the project implementation region. There was a little difference between the 2013 and 2015 regional rankings according to the standardization method, indicating that the analysis results were somewhat consistent. In conclusion, the results of this study may contribute to determine the project implementation area according to the purpose of a specific project after analyzing the regional economic effect in advance.

1998년에 국내 주식시장이 전면 개방됨에 따라, 외국인자본이 국내 주식시장에 거대한 투자주체로 등 장하게 되었다. 일반적으로 외국인투자자는 정보비대칭으로 말미암아 국내 주식시장에 대한 투자에 있어 서 열위를 가질 수 있는 동시에, 반대로, 선진화된 분석기법과 투자기법으로 투자수익에 있어서 우위를 보일 수 있다고 연구되고 있다. 본 연구는 국내 주식시장이 전면 개방된 초기의 시점에서 외국인투자자들 은 어떤 투자행태를 보였고, 그들이 보인 투자행태가 국내 기관투자자 및 개인투자자들의 투자행태와 차이점을 보이는지에 대해 고찰하고 있다. 또한, 투자성과에 있어서 우위를 보인다고 연구된 외국인투자자 들의 투자행태를 국내 기관투자자들이 추종했을 것인지에 대해 탐색적 접근을 시도하였다. 이를 위해 주식시장 전면개방의 초기단계로서 1999년의 자료와 일정시간이 흐른 단계로서 2003년의 자료를 통해 투자주체별로 각각 실증하였다. 실증결과에 따르면, 1999년 외국인투자자는 자산규모, 평균 주가와 정(+)의 관계를 나타냈다. 기관투자자는 기업규모, 총자본순이익률과 정(+)의 관계를 보였고, 주당 순이익과는 부(-)의 관계를 보였다. 개인투자자의 경우, 주당순이익과 정(+)의 관계, 기업규모와 총자산순 이익률 및 평균주가와 부(-)의 관계를 보였다. 예상한 바와 같이, 전면개방 초기단계에서 외국인투자자와 기관투자자, 개인투자자는 선호하는 주식의 특성에 있어서 차이점을 드러내었다. 2003년 외국인투자자는 기업규모와 부채비율 및 PBR값과 정(+)의 관계를 나타내었다. 기관투자자의 경우, 기업규모, 평균주가, 배당률, PBR값, 수출비중과 정(+)의 관계, 부채비율, 주당순이익, PER값과는 부(-)의 관계를 보였다. 개인투자자는 기업규모와 PBR값과 부(-)의 관계를 확인하였다. 이를 통해, 일정 시간이 흐른 단계에서 기관투자자가 외국인투자자의 투자행태를 추종하였다고 판단하기는 어려웠고, 따 라서, 개인투자자와 달리 기관투자자들은 외국인투자자의 투자행태를 추종할 것이라 기대한 가설은 지지 되지 않았다.

Pairs trading is a type of arbitrage investment strategy that buys an underpriced security and simultaneously sells an overpriced security. Since the 1980s, investors have recognized pairs trading as a promising arbitrage strategy that pursues absolute returns rather than relative profits. Thus, individual and institutional traders, as well as hedge fund traders in the financial markets, have an interest in developing a pairs trading strategy. This study proposes pairs trading rules (PTRs) created from a price ratio between securities (i.e., stock index futures) using rough set analysis. The price ratio involves calculating the closing price of one security and dividing it by the closing price of another security and generating Buy or Sell signals according to whether the ratio is increasing or decreasing. In this empirical study, we generate PTRs through rough set analysis applied to various technical indicators derived from the price ratio between KOSPI 200 and S&P 500 index futures. The proposed trading rules for pairs trading indicate high profits in the futures market.

한국 주식시장은 외국인 투자자들이 매수하면 주가가 오르고 그들이 매도하면 주가가 하락하는 현상이 가장 큰 특징 중의 하나가 되었다. 본 논문은 한국 주식시장의 주도세력이면서 가장 높은 수익률을 창출하는 외국인 투자자의 매매동향을 검토하고 그들의 매매패턴을 이용해 리스크를 회피하며 손실을 최소화하는 방안을 검토해 이를 실제적으로 주식시장에 실증적으로 적용한 연구이다. 본 논문은 코스닥 시장을 기준으로, 월간 기준 수십억 수백억으로 매수해 들어오는 외국인의 매매동향 데이터에 대한 실증적인 분석을 통해 리스크 회피 프로세스를 정립하고자 하였다. 구체적으로는 1)외국인의 순매수대금이 20억 이상인 종목 가운데 2)외국인의 지분증가가 크고 3)순매수율이 높을수록 리스크 발생 가능성이 현저하게 줄어듦을 확인하고 동시에 안정적인 수익을 낼 수 있는 실제적인 가능성이 매우 높게 나타남을 확인할 수 있었다. 이 논문의 의의는 개인투자자들도 외국인의 매매동향을 잘 분석하고 이용하면 리스크 발생을 최소화하면서 동시에 그들보다 안정적인 투자가 가능하다는 것을 보여줬다는데 있다.

The purpose of this study is to analyze and test the effect of financial ratios and macroeconomics on Islamic stock returns listed in Jakarta Islamic Index (JII) other than to assess whether investment risk can be an intervening variable in this study. The type of research is explanatory in nature with a quantitative descriptive approach. The data used is based on secondary sources with a sample group of 29 companies listed on JII for a 5-year period ending 31 December 2018. The data obtained were analyzed by using SEM (Structural Equation Model) with AMOS (Analysis Moment of Structural) 21 program. The results of the study show that only financial ratios affect sharia stock returns and investment risk, while the mediation test found that investment risk does not act as a mediating variable between financial ratios and macroeconomics and Islamic stock return. These findings indicate that the role of the company’s financial health is very important. Besides affecting the rate of return obtained, the company’s financial health can also reflect the level of risk that investors will accept in the future. By improving financial performance properly, a company will have a positive impact on various interested parties and minimize the level of investor losses.

International payment is an essential part of the economy, which is beneficial to both commercial banks and trading enterprises. Moreover, service quality, which has been a key point of discussion for decades, relates to customer satisfaction. This study aims to investigate the factors influencing international payment service quality at the Join Stock Commercial Bank for Investment and Development of Vietnam (BIDV) from 2015 through 2019. This research deploys both quantitative and qualitative methods to discuss the effects of these components. Statistical data was examined through different tests, including reliability analysis, correlation, and regression analysis by SPSS 16.0. The authors obtain and analyze 157 valid responses from customer surveys, then by applying an integration SERVPERF and PSQM model, identify five main components: Reliability, Tangibles, Assurance, Convenience, and Responsiveness, which explain how the customer perceives the service quality of international payment activities at BIDV. The results show that these five factors have a positive relationship with service quality, in which, Reliability has the most significant impacts on service quality level. Besides, the findings not only contribute to the literature but also give some practical implications for BIDV to improve its international payment service quality and help them to obtain customer satisfaction in the fast-changing environment.

The study examines lagged economic effects of research and development (R&D) investment on the market value of manufacturing firms listed on the Shanghai Stock Exchange or the Shenzhen Stock Exchange in China. This study applies panel data analysis methods to address the following issues: 1) There might be an adjustment lag in the impact of R&D investment on corporate market value, and 2) Unobserved firm effects must be taken into account. The balanced panel data includes a total of 1,462 observations with 34 cross-sections of manufacturing firms listed on Chinese stock markets and with 27 time-specific quarterly periods from 2007 to 2017. The results indicate that the R&D investment of Chinese manufacturing firms tends to yield favorable market value of the firm with some adjustments to time. The results show that R&D investment exhibits a strong positive impact on their market value of manufacturing firms in Chinese stock markets. Moreover, R&D investment has a positive time-lag effect on the market value of the firm. Interestingly, the R&D investment of Chinese manufacturing firms generate a relatively constant positive effect on their market value, supporting the notion that the corresponding returns of R&D investment for such firms yield lagged but added market values.

Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multiobjective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.