• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.25-39
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• 2021

This purpose of this study is to investigate the association among mutual funds (MFs) risk measures and return parameters, evaluate mutual fund performance and also explore the best appropriate mutual fund performance measure for investment in Pakistan. Therefore, thirty-five mutual funds have been selected for the period 2007-2015. The Sharpe, Treynor, Jensen Alpha, Information ratio and Fama's Net Selectivity measures has been used to analyze MF performance. Our study findings show significant positive relation exist between Sharpe and Jenson alpha & information ratio (IR); Treynor ratio is negatively correlated to Jenson alpha and Jenson alpha is positively allied with IR. Moreover, association among performance measures, Fama's net selectivity is a major driver in leading to other measures but Sharpe and IR lead to Treynor ratio as well. Furthermore, performance measures are ranked in accordance standard deviation with the arrangement of Fama's net selectivity at top, Jenson Alpha at second, Sharpe ratio at third, IR at fourth and Treynor ratio at fifth position according to risk parameters in Pakistan. Overall, Jensen Alpha measure appears to be the best suitable mutual fund performance measure in Pakistan due to its practical nature. Finally, the Pakistani stock market index KSE100 (as benchmark) performs better than MF industry of Pakistan.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2002년도 추계학술대회
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• pp.285-294
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• 2002

우리나라와 국가 규모가 비슷한 이스라엘의 경우에는 벤처캐피탈이 정부주도로 출범한 후 육성71었다. 이러한 벤처캐피탈의 특성은 창업자가 연구개발에만 전념할 수 있어서 제품의 품질을 높일 수 있으며 동시에 사업이나 제품 완성도를 높일 수 있는 부가가치가 큰 중요한 금융업이 될 전망이다. 이번 연구에서는 이러한 벤처캐피탈이 가지고 있는 위험특성에 대한 분석과 위험을 고려한 투자성과 평가를 행하였다. 이번 연구에서는 선행연구와 동일하게 비체계적 위험이 체계적 위험보다 큰 것으로 나타났는데 이는 소수의 지역이나 업종에 집중투자한 결과로 보인다. Sharpe 평가지표의 결과로는 종합주가지수나 코스닥지수보다 열등한 것으로 분석되어 우리나라 벤처캐피탈의 열악함이 대변되고 있는 것을 알 수 있었다.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2005년도 춘계학술대회
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• pp.379-392
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• 2005

우리나라와 국가 규모가 비슷한 이스라엘의 경우에는 벤처캐피탈이 정부주도로 출범한 후 육성되었다. 이러한 벤처캐피탈의 특성은 창업자가 연구개발에만 전념할 수 있어서 제품의 품질을 높일 수 있으며 동시에 사업이나 제품 완성도를 높일 수 있는 부가가치가 큰 중요한 금융업이 될 전망이다. 이번 연구에서는 이러한 벤처캐피탈이 가지고 있는 위험특성에 대한 분석과 위험을 고려한 투자성과 평가를 행하였다. 이번 연구에서는 선행연구와 동일하게 비체계적 위험이 체계적 위험보다 큰 것으로 나타났는데, 이는 소수의 지역이나 업종에 집중투자한 결과로 보인다. 위험을 고려한 투자성과분석을 위하여 총위험을 고려한 Sharpe척도와 체계적 위험을 고려한 평가모형 Jensen척도를 토대로 종합주가지수와 코스닥 벤처지수, 벤처캐피탈의 성과를 비교분석에서는 벤처캐피탈의 위험과 투자성과가 크게 낮은 것으로 파악되었다. 이는 Sharpe 및 Jensen 척도에서 검증이 된 것으로 (-)로서 시장포트폴리오(종합주가지수)나 코스닥 벤처지수 보다 투자성과가 낮은 것으로 나타났다. 이번 연구의 한계점으로는 하지만 표본의 수가 짧은 문제점을 지니고 있다.

• The Journal of Asian Finance, Economics and Business
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• 제2권4호
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• pp.5-11
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• 2015

This study is the first to analyze performance of Taiwanese domestic equity funds between January 2009 and October 2014, the period during which quantitative redirected capital flows toward developing economies and the Taiwanese Stock Exchange Weighted Index compounded at approximately 12.9% annually. Adopting methods endorsed by earlier research, we evaluated 15 Taiwanese equity funds' performance relative to market averages using the Sharpe (1966) and Treynor (1965) ratios and Jensen's alpha method (1968). To test market timing proficiency, we applied the Treynor and Mazuy (1966) and Henriksson and Merton (1981) regression analysis methods. Jensen's alpha method (1968) was used to measure fund managers' stock selection skills. Results revealed that funds significantly under-performed Taiwan's average annual market return and demonstrated no exceptional stock-selection skills and market timing proficiency during the era of quantitative easing.

• The Journal of Asian Finance, Economics and Business
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• 제5권1호
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• pp.11-16
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• 2018

This research examines the alternative ways of estimating the coefficient of non-diversifiable risk, namely beta coefficient, in Capital Asset Pricing Model (CAPM) introduced by Sharpe (1964) that is an essential element of assessing the value of diverse assets. The non-parametric methods used in this research are the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator). The Jackknife, the resampling technique, is also employed to validate the results. According to finance literature and common practices, these coecients have often been estimated using Ordinary Least Square (LS) regression method and monthly return data set. The empirical results of this research pointed out that the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) performed much better than Ordinary Least Square (LS) in terms of eciency for large-cap stocks trading actively in the United States markets. Interestingly, the empirical results also showed that daily return data would give more accurate estimation than monthly return data in both Ordinary Least Square (LS) and robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) regressions.

• 한국경영과학회지
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• 제38권2호
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• pp.75-93
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• 2013

In applying Markowitz's portfolio selection model to the stock market, we developed a comprehensive investment decision-making framework including key inputs for portfolio theory (i.e., individual stocks' expected rate of return and covariance) and minimum required expected return. For estimating the key inputs of our decision-making framework, we utilized an exponentially weighted moving average (EWMA) which places more emphasis on recent data than the conventional simple moving average (SMA). We empirically analyzed the investment results of the decision-making framework with the same 15 stocks in Samsung Group Funds found in the Korean stock market between 2007 and 2011. This five-year investment horizon is marked by global financial crises including the U.S. subprime mortgage crisis, the collapse of Lehman Brothers, and the European sovereign-debt crisis. We measure portfolio performance in terms of rate of return, standard deviation of returns, and Sharpe ratio. Results are compared with the following benchmarks : 1) KOSPI, 2) Samsung Group Funds, 3) Talmudic portfolio based on the na$\ddot{i}$ve 1/N rule, and 4) Markowitz's model with SMA. We performed sensitivity analyses on all the input parameters that are necessary for designing an investment decision-making framework : smoothing constant for EWMA, minimum required expected return for the portfolio, and portfolio rebalancing period. In conclusion, appropriate use of the comprehensive investment decision-making framework based on the Markowitz's model integrated with EWMA proves to achieve outstanding performance compared to the benchmarks.