• Title/Summary/Keyword: Quality of Returns

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The Pricing of Accruals Quality with Expected Returns: Vector Autoregression Return Decomposition Approach

  • YIM, Sang-Giun
    • The Journal of Industrial Distribution & Business
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    • v.11 no.3
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    • pp.7-17
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    • 2020
  • Purpose: This study reexamines the test on the pricing of accruals quality. Theory suggests that information risk is a priced risk factor. Using accruals quality as the proxy for information risk, researchers have tested the pricing of information risk. The results are inconsistent potentially because of the information shock in the realized returns that are used as the proxy for expected returns. Based on this argument, this study revisits this issue excluding information-shock-free measure of expected returns. Research design, data and methodology: This study estimates expected returns using the vector autoregression model. This method extracts information shocks more thoroughly than the methods in prior studies; therefore, the concern regarding information shock is minimized. As risk premiums are larger in recession periods than in expansion periods, recession and expansion subsamples were used to confirm the robustness of the main findings. For the pricing test, this study uses two-stage cross-sectional regression. Results: Empirical results find evidence that accruals quality is a priced risk factor. Furthermore, this study finds that the pricing of accruals quality is observed only in recession periods. Conclusions: This study supports the argument that accruals quality, as well as the pricing of information risk, is a priced risk factor.

Impact of Information Sharing Regarding Customer Returns Ratio on Optimal Sales Strategy under E-commerce

  • Saito, Yuta;Kusukawa, Etsuko
    • Industrial Engineering and Management Systems
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    • v.14 no.2
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    • pp.111-121
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    • 2015
  • A correct information of customer returns ratio under e-commerce is not always shared between supply chain (SC) members. Also, it is important issue for SC members to handle the unsold products in a market. This paper discusses the impact of information sharing of customer returns ratio on an optimal sales strategy including resale of customer returns and buyback policy for a SC under e-commerce with a manufacturer and a retailer. A retailer sells a single product and resells the resalable customer returns in the same market. A manufacturer produces the products and buys back the unsold products as to their quality from the retailer. The integrated SC (ISC) determines the optimal product order quantity to maximize the expected profit of the whole SC. The decentralized SC (DSC) makes the optimal decisions for order quantity and the wholesale price of products to maximize the expected profit of each SC member. The effect of information sharing is discussed between SC members under ISC and DSC. The analysis numerically investigates how information sharing of the returns ratio affects the optimal decision and the expected profits under ISC and DSC. Besides, effect of SC coordination to encourage the shift to ISC is discussed.

Measuring the Long-run Stock Returns to Investors

  • Choi, Seung-Doo
    • 한국데이터정보과학회:학술대회논문집
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    • 2002.06a
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    • pp.75-84
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    • 2002
  • This paper compares long-run returns of privatization initial public offerings to those of domestic stock markets of respective countries using a sample of 196 privatization initial public offerings from 39 countries. The evidence indicates that the privatization initial public offerings (IPOs) significantly outperform their domestic stock markets. There are substantial differences in the long-run performance of privatization IPOs depending on the return estimation techniques, however. Evidence indicates that the inference based either on conventional t or on skewness-adjusted t statistics may yield misspecified test statistics. The quality of estimation tends to be improved by simply eliminating the outliers from the sample, especially for the buy-and-hold abnormal return technique.

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Country-Level Governance Quality and Stock Market Performance of GCC Countries

  • MODUGU, Kennedy Prince;DEMPERE, Juan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.185-195
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    • 2020
  • This study examines the association between governance quality at country level and stock market performance. Specifically, the study investigates the influence of control of corruption, government effectiveness, political stability and absence of violence, rule of law, regulatory quality, and voice and accountability on all-share index of the stock markets of the six Gulf Cooperation Council (GCC) countries. This study is anchored on two theories - the Efficient Market Hypothesis (EMH) and Institutional Theory. The study employs panel data spanning from 2006 to 2017. The findings show that political stability and absence of violence and rule of law exhibit a significant positive impact on stock market performance, while regulatory quality and voice and accountability have a significant, but negative relationship with stock market performance. The results imply that quality of governance in terms of rule of law and political stability devoid of violence have strong impact on stock market returns. Similarly, improved stock market returns are largely dependent on the efficiency of the institutional environment of market as investors are always wary of the inherent risks associated with the uncertainty of the market. This study has crucial policy implications for the government of the GCC countries and stock market participants.

Accounting Earnings Response Coefficient: Is the Earning Response Coefficient Better or Not

  • PARAMITA, Ratna Wijayanti Daniar;FADAH, Isti;TOBING, Diana Sulianti K.;SUROSO, Imam
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.51-61
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    • 2020
  • The study aims to compare whether using Earnings Response Coefficient (ERC) is better than using the new concept of Accounting Earnings Response Coefficient (AERC) in determining the earnings quality response coefficient value. Also, the study seeks to explain the effect of company characteristics and corporate governance on AERC through voluntary disclosure and information asymmetry. Research samples include 69 manufacturing companies listed on the Indonesian Stock Exchange over the period 2014-2017. The data come from annual reports, stock market prices, CSPI, EPS, stock returns and market returns. The research model is tested using the structural equation model (SEM) with partial least square (PLS). The results showed the value of the earnings response coefficient produced by AERC and ERC was different. Earnings quality resulting from AERC regression by adding CFO values better reflects the actual earnings quality. These results are consistent with the concept built from the proposition about earnings quality at AERC, that quality earnings are informative accounting earnings. The theoretical findings of this study provide an explanation that operational cash flow plays a role in evaluating earnings quality, while providing reinforcement that the ERC regression model fails to detect stock market reactions to information relevant to the aggregated values of accounting earnings.

Multi-scale Cluster Hierarchy for Non-stationary Functional Signals of Mutual Fund Returns (Mutual Fund 수익률의 비정상 함수형 시그널을 위한 다해상도 클러스터 계층구조)

  • Kim, Dae-Lyong;Jung, Uk
    • Korean Management Science Review
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    • v.24 no.2
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    • pp.57-72
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    • 2007
  • Many Applications of scientific research have coupled with functional data signal clustering techniques to discover novel characteristics that can be used for the diagnoses of several issues. In this article we present an interpretable multi-scale cluster hierarchy framework for clustering functional data using its multi-aspect frequency information. The suggested method focuses on how to effectively select transformed features/variables in unsupervised manner so that finally reduce the data dimension and achieve the multi-purposed clustering. Specially, we apply our suggested method to mutual fund returns and make superior-performing funds group based on different aspects such as global patterns, seasonal variations, levels of noise, and their combinations. To promise our method producing a quality cluster hierarchy, we give some empirical results under the simulation study and a set of real life data. This research will contribute to financial market analysis and flexibly fit to other research fields with clustering purposes.

Smart Beta Strategies based on the Quality Indices (퀄리티 지수를 이용한 스마트 베타 전략)

  • Ohk, Ki Yool;Lee, Minkyu
    • Management & Information Systems Review
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    • v.37 no.4
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    • pp.63-74
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    • 2018
  • Recently, in the asset management industry, the smart beta strategy, which has an intermediate nature between passive and active strategies, is attracting attention. In this smart beta strategy, value, momentum, low volatility, and quality index are widely used. In this study, we analyzed the quality index which is not clear and complicated to calculate. According to the MSCI methodology, the quality index was calculated using three variables: return on equity, debt to equity, and earnings variability. In addition, we use the index using only return on equity variable, the index using only two variables of return on equity and debt to equity, and the KOSPI index as comparison targets for the quality index. In order to evaluate the performance of the indices used in the analysis, the arithmetic mean return, the coefficient of variation, and the geometric mean return were used. In addition, Fama and French (1993) model, which is widely used in related studies, was used as a pricing model to test whether abnormal returns in each index are occurring. The results of the empirical analysis are as follows. First, in all period analysis, quality index was the best in terms of holding period returns. Second, the quality index performed best in the currency crisis and the global financial crisis. Third, abnormal returns were not found in all indices before the global financial crisis. Fourth, in the period after the global financial crisis, the quality index has the highest abnormal return.

Effect of Korean Service Quality Awards on the Market Value by using Event Study Methodology (한국의 서비스 품질상 수상이 기업가치에 미치는 영향 : 사건연구방법론적 접근)

  • Oh, Byoung-Sub;Park, Ji-Young;Chung, Soong-Hwan;Choi, Kang-Hwa
    • Korean Management Science Review
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    • v.27 no.3
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    • pp.161-196
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    • 2010
  • This paper empirically investigates the impact of winning a service quality award on the market value in Korea. We estimates the mean "abnormal" change in the stock prices of sample firms when information of winning a service quality award was publicly announced. To access the validity of the research question, this paper employed collected 47 firms data that received the Korean Service Quality Awards so far. Event study methodology was used to analyze the effect of Korean service quality awards. The findings are as follows; The average abnormal returns on the event date are not significant at the 0.05 level which means that the receiving Korean Service Quality Awards has no influence on the firms' market value. On the other hand successive awarded firms have an increasing effect on the market value and it is significant at the 0.05 level. Furthermore, the results show that the factors of firm size such as firm's total assets are critical to vary the firms' abnormal returns. There might be some limitations in this study. The most obvious problem is the limitation of sample size. Although 518 sample cases were found during the period from 2000 to 2008, most of the cases were deleted according to the sample criteria. We are expecting the future research with more data and more precise results. Furthermore, our research consider the only two service award institutions even though there are several different service award authorities in Korea. It is needed to expand the research scope and range to adopt the various service award institutions for the future work.

An Analysis of Factors Affecting Satisfaction of Physical Therapy Patients (물리치료 내원환자의 만족도에 영향을 미치는 요인 분석)

  • Sohn, Ae-Ree;Kim, Mi-Won
    • Journal of Korean Physical Therapy Science
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    • v.9 no.4
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    • pp.63-72
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    • 2002
  • Patient satisfaction is an important factor in evaluating the quality of care. Patient satisfaction may be used to evaluate provider services and facilities, and used to predict the patient returns to a facility. The patients d whether the patient returns to a facility or whether the patient recommends the facility to other people may be affected by a variety of factors of patient satisfaction. Low satisfaction may result in poor compliance with the potential of waste of resources and suboptimal clinical outcome. This study is to identify factors of patient satisfaction that will affect patients decision whether the patient returns or not. A self-administered questionnaire survey was conducted in Seoul, Chung-Joo and Bu-Cheon cities, Survey data was obtained from 743 patients who visited the physical therapy practice at university hospitals, general hospitals and clinics. Response rate was 94.4%. The instrument developed by Goldstein et al. (2000) was used and translated into Korean. Several items were added to the instrument. Patient's opinions of service in each domain measured using 5-point Likert-type scales that ranged from strongly disagree to strongly agree. A multiple-regression analytic approach was used to predict overall satisfaction of physical therapy. Age, kindness, scheduling, convenience of parking, privacy, and waiting time predicted the overall satisfaction of physical therapy. The older patients had higher level of satisfaction with physical therapy compared with the younger patients. Patient satisfaction were more affected by access (scheduling and waiting time), administrative technical management (convenience of parking), and interpersonal management (kindness of physical therapists and other staffs) than clinical technical management (physical therapists' skills).

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Decreasing Return to Scale in Cottage Industries: Empirical Evidence from the Coconut Sugar Industry in Banyumas, Indonesia

  • BADRIAH, Lilis Siti;ARINTOKO, Arintoko;RAHAJUNI, Dijan
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.219-229
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    • 2022
  • This study aims to analyze the economies of scale of the cottage industry for coconut sugar production in Banyumas, Indonesia. This study applies a survey method to coconut sugar craftsmen. Data analysis was performed by regression analysis based on the Cobb-Douglas production function approach. The findings indicated that decreasing returns to scale was a problem for the domestic production of coconut sugar. These findings show that the production of coconut sugar is not very productive. Labor and financial capital inputs have a significant positive share but the resulting increase in output is less proportional than the increase in the two inputs. Social capital, experience, and education do not affect industrial performance. To increase input productivity and production efficiency, it is necessary to apply more effective production techniques and technologies to produce quality products so that the selling price can be higher. Additionally, it is required to enhance the sap's quality through its extraction methods and the regrowth of high-yielding coconut tree varieties. From the institutional aspect, the development of this industry requires stronger partnerships with related parties such as local governments, exporting companies, cooperatives, and universities through research and development.