• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.839-850
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• 2021

Risk-adjusted return is believed to be one of the optimal parameters to determine an optimum portfolio. A risk-adjusted return is a calculation of the profit or potential profit from an investment that takes into account the degree of risk that must be accepted to achieve it. This paper presents a new procedure in portfolio selection and utilizes these results to optimize the risk level of risk-adjusted Islamic stock portfolios. It deals with the weekly close price of active issuers listed on Jakarta Islamic Index Indonesia for a certain time interval. Overall, this paper highlights portfolio selection, which includes determining the number of stocks, grouping the issuers via technical analysis, and selecting the best risk-adjusted return of portfolios. The nominated portfolio is modeled using Quadratic Programming (QP). The result of this study shows that the portfolio built using the lowest Value at Risk (VaR) outperforms the market proxy on a risk-adjusted basis of M-squared and was chosen as the best portfolio that can be optimized using QP with a minimum risk of 2.86%. The portfolio with the lowest beta, on the other hand, will produce a minimum risk that is nearly 60% lower than the optimal risk-adjusted return portfolio. The results of QP are well verified by a heuristic optimizer of fmincon.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.605-613
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• 2020

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

• 기술혁신연구
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• 제12권3호
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• pp.159-177
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• 2004

Technological innovation is one of the critical success factors determining firm's Technological innovation is one of the critical success factors determining firm's value in the knowledge based economy. The study examines whether the information release on technological innovation has information contents in the stock market. The abnormal returns and cumulative abnormal return were calculated by using Market and Risk Adjusted Return Model. The results say that the market positively reacts to the information release of technological innovation on the event date. Especially, the disclosure on technology development causes stable increase of the firm's value. It is concluded that the market reacts favorably to technological innovations.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.45-52
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• 2021

Stock price fluctuations affect investor returns, particularly, in this pandemic situation that has triggered stock market shocks. As a result of this situation, investors prefer to move their money into a safer portfolio. Therefore, in this study, we approach an efficient portfolio model using smart beta and combining others to obtain a fast method to predict investment stock returns. Smart beta is a method to selects stocks that will enter a portfolio quickly and concisely by considering the level of return and risk that has been set according to the ability of investors. A smart beta portfolio is efficient because it tracks with an underlying index and is optimized using the same techniques that active portfolio managers utilize. Using the logistic regression method and the data of 100 low volatility stocks listed on the Indonesia stock exchange from 2009-2019, an efficient portfolio model was made. It can be concluded that an efficient portfolio is formed by a group of stocks that are aggressive and actively traded to produce optimal returns at a certain level of risk in the long-term period. And also, the portfolio selection model generated using the smart beta, beta, alpha, and stock variants is a simple and fast model in predicting the rate of return with an adjusted risk level so that investors can anticipate risks and minimize errors in stock selection.

• 재무관리연구
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• 제22권2호
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• pp.135-164
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• 2005

개인투자자 10,000명의 1998년부터 2003년까지 6년간의 거래자료와 잔고자료를 분석한 결과, 개인투자자들은 총수익률(gross return) 기준으로 연간 12.3%의 수익률을 실현한 것으로 나타났다. 동기간에 거래소 시장의 가치가중평균수익률은 13.6%였으며 코스닥 시장을 포함하는 종합시장수익률은 9.7%를 기록하였다. 그러나 거래비용을 고려한 순수익률(net return)은 연간 8.3%로 하락하여 시장수익률보다 크게 낮은 것으로 나타났는데, 연간 270%가 넘는 거래 회전율이 투자성과에 부정적인 영향을 미친 탓이라 할 수 있다. 특히 잔고규모별 초과수익률 분석에서는 투자금액이 상위 20%에 속하는 투자자들은 시장수익률과 비슷한 수준의 수익률을 얻은 반면, 나머지 80%의 투자자들은 시장수익률과 커다란 차이를 보였는데, 왜 많은 개인 투자자들이 시장을 떠나는지를 확인시켜 주는 결과이다. 특기할 사항은 과잉확신으로 인해 거래량이 증가하고 기대효용은 낮아진다는 과잉확신 모형을 지지한다는 점이다. 분석대상인 개인투자자들은 고 베타 주식과 소형주와 가치주를 선호하는 것으로 나타났다.

• 산경연구논집
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• 제13권1호
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• pp.23-32
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• 2022

Purpose: This study used ESG grade, but defined AESG, adjusted to the size of a company and examines whether it can be used as an investment strategy. Research design, data and methodology: The analysis sample in this study is a company that has given an ESG rating among companies listed on the Korea Stock Exchange. We examine the results through portfolio analysis and Fama-macbeth regression analysis. Results: As result of examining the long-only performance and the long-short performance by constructing quintile portfolios, it was observed that a significant positive return was shown. It was observed that there was an alpha that could not be explained in asset pricing models. Also, AESG had a return prediction effect in the result of a Fama-Macbeth regression that controlled corporate characteristic variables in individual stocks. Next, we confirmed AESG's usage through various portfolio composition. In the portfolio optimization, the Risk Efficient method was the most superior in terms of sharpe ratio and the construct multi-factor model with Value, Momentum and Low Vol showed statistically significant performance improvement. Conclusions: The results of this study suggest that it can be helpful in ESG investment to reflect the ESG rating of relatively small companies more through the scale adjustment of the ESG rating (i.e.AESG).

• 한국건설관리학회논문집
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• 제9권2호
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• pp.146-158
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• 2008

본 연구에서는 정부의 주택관련 부동산 정책의 발표에 따른 한국증권선물거래소의 유가증권시장에 상장된 건설업종 주식수익률의 변화를 분석함으로써 정부정책의 효과에 대한 논의의 계기를 마련하고자 하였다 본 연구는 정부의 주택관련 부동산 정책이 건설업종 주식시장의 변화에 어떠한 영향을 미칠 수 있는가를 분석함으로써 정부정책의 실효성에 대한 판단을 할 수 있는 근거를 제시하였다는 측면에서 그 경제적인 의미가 크다고 할 것이다. 본 연구에서는 2001년부터 2006년까지의 각 연도별로 사건일(event day)을 구분하여 사건연구(event study)를 실시하였다. 정부의 주택관련 부동산 정책의 공표일(event day)을 전후로 하여 시장지수인 종합주가지수(KOSPI)의 수익률과 비교하여 양(+)또는 음(-)의 초과수익률이 실현되는지의 여부를 살펴본 결과 정부의 부동산 정책 공표일 전부터 비정상 초과 수익률이 누적적으로 실현되고 있음을 알 수 있다. 본 연구의 실증분석 결과를 종합하면 2001년부터 2006년까지의 정부의 주택관련 정책 중에서 2001년의 경우에는 그 실효성이 상대적으로 낮은 편이었으나, 2002년부터 2006년까지는 한국증권선물거래소에 상장된 건설업종 주식의 수익률이 통계적으로 볼 때 유의적으로 나타남에 따라 건설경기에 큰 영향을 미쳤다는 사실을 확인할 수 있다. 게다가 2002년부터 2006년까지의 기간중에서 2004년을 제외한 전체기간에서 정부의 주택관련 부동산 정책이 건설업종 주식시장의 침체를 초래하였다는 점을 시사하고 있다.