• 대한수학회지
• /
• 제59권2호
• /
• pp.311-335
• /
• 2022

This paper treats Merton's classical portfolio optimization problem for a market participant who invests in safe assets and risky assets to maximize the expected utility. When the state process is a d-dimensional Markov diffusion, this problem is transformed into a problem of solving a Hamilton-Jacobi-Bellman (HJB) equation. The main purpose of this paper is to solve this HJB equation by a deep learning algorithm: the deep Galerkin method, first suggested by J. Sirignano and K. Spiliopoulos. We then apply the algorithm to get the solution to the HJB equation and compare with the result from the finite difference method.

• Asian Journal of Innovation and Policy
• /
• 제7권1호
• /
• pp.9-29
• /
• 2018

Japan's manufacturing is mostly dependent on the automotive industry in Toyota-Kariya cities. However, the nearby city of Hamamatsu is the home of a start-up ecosystem known as Japan's Silicon Valley. How is it possible to evaluate the innovative potential of each regional industry? What kind of guidelines exist for continuing R&D investment when companies' net incomes are negative in the face of the 'Valley-of-Death' or financial crisis? Is it possible to measure the regional resilience ability in the context of the financial crisis? Entrepreneurial innovation is defined as a real-option portfolio consisting of investment decision to commercialize R&D findings. The subcontractor system implies a vertical and tight industrial group. However, a start-up ecosystem means a platform for horizontal and flexible partnership. In this research, the data include the financial indices of each of 18 public companies in both regions between FY2009 and FY2017. The objective of this paper is to clarify the call option or resilience function of equity for R&D investment in the context of the financial crisis in both regions by using Bayesian MCMC analysis.

• 문화기술의 융합
• /
• 제5권3호
• /
• pp.113-118
• /
• 2019

본 연구는 후강퉁 제도의 시행 이후에 중국, 홍콩, 대만 및 싱가폴 증권시장 간의 상호의존성이 어떻게 변화되었는지를 수익률과 변동성을 동시에 분석할 수 있는 EGARCH-GED 모형을 이용하여 분석하였다. 후강퉁 제도의 시행 이후 대만 증권시장의 대중화권 증권시장과의 상호의존성은 크게 약화되었으며, 싱가폴 증권시장의 대중화권 증권시장과의 상호의존성은 존재하지 않는 것으로 나타났다. 반면에 후강퉁 제도의 시행 이후에 중국과 홍콩 증권시장 간의 상호의존성은 크게 강화된 것으로 나타났다. 이는 후강퉁 제도의 시행에 따라 중국과 홍콩 투자자들이 두 증권시장에 투자할 수 있는 여건이 개선됨에 따른 결과로 추정된다. 따라서 대중화권 증권시장에서의 분산투자를 고려할 때에는 대만과 싱가폴 증권시장의 상호의존성 약화와 중국과 홍콩 증권시장의 상호의존성 강화를 고려하여 분산투자전략을 수립할 필요가 있을 것이다.

• 벤처창업연구
• /
• 제17권1호
• /
• pp.29-43
• /
• 2022

본 연구에서는 벤처캐피탈협회가 보유하고 있는 VC 펀드 관련 자료를 가지고 VC의 실현된 수익률을 투자약정 수준에서 측정하였다. 또한, 동 자료가 제공하는 자세한 정보를 가지고 국내 최초로 비상장 피투자사의 주가수익률과 분산을 측정할 수 있었다. 분석결과, VC 펀드가 피투자사의 주가수익률보다 높은 실적을 보였다. 또한 VC 펀드가 투자한 스타트업의 경우 분산으로 측정된 총위험과 주가수익률 간에 양의 관계가 존재함을 확인하였다. 마지막으로 이들 기업의 총위험에 기초해 시장이 기대하는 수익률에 비해 측정된 주가수익률은 낮은 수준에 머무르고 있음도 발견하였다. 이는 비록 비상장사 스타트업이 고위험-고수익의 관계를 보장하더라도 개인투자자들이 비상장사에 직접 투자하기를 꺼리게 만드는 한 요인으로 작용할 수 있을 것이다.

• 응용통계연구
• /
• 제23권5호
• /
• pp.783-797
• /
• 2010

이 논문은 투자성과에 있어 자산배분의 중요성이 크다는 것에 주목하여 최적 자산배분을 달성하기 위한 투자의 수단으로써 펀드의 가능성을 살펴보고자 한다. 우선 펀드의 자산별 배분(또는 스타일)을 정의하기 위해 Sharpe(1992)가 제시한 펀드 수익률 기반 스타일 분석을 적용하였다. 정의된 펀드의 스타일이 일정기간 유지되는지 확인하기 위해 특정 개별 투자자를 가정하고 스타일 변동 허용범위를 설정한 뒤 이를 충족시키는지 살펴보았다. 국내 주식형 펀드에 한정하여 실증 분석을 수행한 결과 투자시점에 가정하였던 펀드의 스타일이 투자 예상 기간 동안 지속적으로 유지되지 않음을 확인하였고 그 원인을 파악하고자 하였다. 몇 가지 분석 상의 한계에도 불구하고 실증 분석의 결과 펀드가 투자자의 최적 자산배분 달성을 위한 투자수단으로 적절치 않다는 결론을 얻을 수 있었다.

• 대한안전경영과학회:학술대회논문집
• /
• 대한안전경영과학회 2005년도 추계학술대회
• /
• pp.537-557
• /
• 2005

The estimate on volatility of stock price is related with optimum of portfolio and Important for allocation of capital asset. If the volatility of stock price is varied according to macroeconomic variables on monetary policy and industrial production, it will assist capital asset to allocate. This paper is related with stock market volatilities on macroeconomic variables in U.S. and Europe, Korea. And, it Is pertain to vary in time of this variables. Thus, this paper is related with volatilities of monetary and physical macroeconomic variables on basis of statistics. And, it is ranged front capital investment to portfolio allocation. Also, this paper takes out of sample forecast and study more after this. In case Germany, France, Italy and the Netherlands, the relative importance of monetary policy and Industrial production Is different from these countries. In case Italy and the Netherlands, monetary policy is primary factor at stabilizing for volatility of stock price. In case Korea, increasing monetary policy and industrial production is positively affected stock market. It is that the positive effect of stock price is caused by mollifying monetary policy and economic growth. Specially, this conclusion is similar to US. In Korea, gradual increase in monetary and industrial production is necessary to stability of stock market. It is different to previous results on basis of increasing stock price of money in long period.

• 대한산업공학회지
• /
• 제40권2호
• /
• pp.172-183
• /
• 2014

This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권11호
• /
• pp.1-10
• /
• 2021

This paper compares the performance of Fama-French three-factor and five-factor models using a dataset of 20 Pakistani commercial banks for the period 2011 to 2020. We focus on an emerging economy as the findings from earlier studies on developed countries cannot be generalized in emerging markets. For empirical analysis, twelve portfolios were developed based on size, market capitalization, investment strategy, and growth. Subsequently, we constructed five Fama-French factors namely, R_M, SMB, HML, RMW, and CMA. The OLS regression technique with robust standard errors was applied to compare the predictive power of both the Fama-French models. Further, we also compared the mean-variance efficiency of the Fama-French models through the GRS test. Our empirical analysis provides three unique and interesting findings. First, both asset pricing models have similar predictive power to explain the expected portfolio returns in most cases. Second, our results from the GRS test suggest that there is no noticeable difference in the mean-variance efficiency of one asset pricing model over the other. Third, we find that all factors of both Fama-French models are statistically significant and are important for explaining the volatility of expected commercial bank returns in the context of Pakistan.

• 아태비즈니스연구
• /
• 제11권4호
• /
• pp.243-254
• /
• 2020

Purpose - This paper explores whether overnight returns measured from the last closing price to today's opening price explain the cross-section of stock returns. Design/methodology/approach - This study is conducted using the Korean stock market data from 1998 to 2018, obtained from DataGuide database. The analysis begins with portfolio-level tests, followed by firm-level cross-sectional regressions. Findings - First, when decile portfolios sorted on the daily average of overnight returns in the previous months, the highest decile portfolio exhibits a significant negative risk-adjusted return. This suggests that stocks with higher average overnight returns are temporarily overvalued due to buying pressure from investors. Second, at least 6 months of persistence exists in average overnight returns, which is in line with the results reported by Barber, Odean and Zhu (2009) that investor sentiment persists over several weeks. Finally, Fama-MacBeth cross-sectional regression of expected returns after controlling for a variety of firm characteristic variables such as firm size, book-to-market ratio, market beta, momentum, liquidity, short-term reversal, the slope coefficient for overnight returns remains negative and statistically significant. Research implications or Originality - Overall, the evidence consistently suggests that overnight return is considered as a new priced factor in the cross-section of expected returns. The findings of this paper not only adds to finance literature, but also could be useful to practitioners in making stock investment decision.

• The Journal of Asian Finance, Economics and Business
• /
• 제9권9호
• /
• pp.351-360
• /
• 2022

This study aims to determine the factors that can influence investors in selecting stocks in the Indonesian capital market to establish an optimal portfolio, and find phenomena that occurred during the COVID-19 pandemic so that buying interest / the number of investors increased in the Indonesian capital market. This study collection technique uses primary data obtained from the survey questionnaire and secondary data which is market data, stock price movement data sourced from the Indonesia Stock Exchange, Indonesian Central Securities Depository, and Bank Indonesia, as well as empirical literature on behavior finance, investment decision, and interest in buying stock. The method used in this research is the survey questionnaire analysis with the SEM (statistical approach). The results of the analysis using SEM show that investor behavior influences the stock-buying interest, investor behavior, and the stock-buying interest influences investor decision-making. However, risk management does not influence investor-decision making. This occurs when the investigator's psychological capacity produces more decision information by decreasing all potential biases, allowing the best stock selection model to be selected. When the investigator's psychological capacity creates more decision information by reducing biases, the optimum stock selection model can be chosen.