• Title/Summary/Keyword: Expected Returns

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Overnight Returns, Idiosyncratic Volatility, and the Expected Stock Returns (야간수익률과 고유변동성이 기대수익률에 미치는 영향)

  • Yong-Ho Cheon
    • Asia-Pacific Journal of Business
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    • v.14 no.3
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    • pp.45-66
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    • 2023
  • Purpose - This paper examines whether overnight returns and idiosyncratic volatility (IVOL) jointly affects the cross-section of expected stock returns in the Korean stock market. Design/methodology/approach - Constructing 5×5 bivariate monthly portfolios independently sorted on overnight returns and IVOL, this paper tests whether overpricing of stocks with high overnight returns is more pronounced for the stocks that also have high IVOL. In addition, we also investigate whether time-variation in the degree of overpricing for those stocks can be explained by market volatility. Findings - Our results show that stocks having both high overnight returns and high IVOL exhibit strong negative returns in the future. In contrast, we are unable to observe such negative returns for the stocks that have high overnight returns and low IVOL. This suggests that overpricing of stocks with high overnight returns is concentrated for the stocks having high IVOL. Moreover, we also find that the degree to which such stocks are overpriced is negatively related to market volatility. Research implications or Originality - his paper is the first attempt to explore whether degree of overpricing of stocks having high overnight returns is related to IVOL. We also discover time-varying property of overpricing is jointly driven by overnight returns and IVOL. Our results indicate that IVOL might help explain other previously documented stock return anomalies, suggesting interesting topics for future research.

A Study on the Relations among Stock Return, Risk, and Book-to-Market Ratio (주식수익률, 위험, 장부가치 / 시장가치 비율의 관계에 관한 연구)

  • Kam, Hyung-Kyu;Shin, Yong-Jae
    • Journal of Industrial Convergence
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    • v.2 no.2
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    • pp.127-147
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    • 2004
  • This paper examines the time-series relations among expected return, risk, and book-to-market(B/M) at the portfolio level. The time-series analysis is a natural alternative to cross-sectional regressions. An alternative feature of the time-series regressions is that they focus on changes in expected returns, not on average returns. Using the time-series analysis, we can directly test whether the three-factor model explains time-varying expected returns better than the characteristic-based model. These results should help distinguish between the risk and mispricing stories. We find that B/M is strongly associated with changes in risk, as measured by the Fama and French(1993) three-factor model. After controlling for changes in risk, B/M contains little additional information about expected returns. The evidence suggests that the three-factor model explains time-varying expected returns better than the characteristic-based model.

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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.

Designing a Supply Chain Coordinating Returns Policies for a Risk Sensitive Manufacturer

  • Lee, Chang-Hwan;Lim, Jay-Ick
    • Management Science and Financial Engineering
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    • v.11 no.2
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    • pp.1-17
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    • 2005
  • In this article we consider a supply chain consisting of a risk-sensitive manufacturer and a riskneutral retailer. The manufacturer maximizes her individual expected profit by designing a supply chain coordinating returns contract (SCRC) that consists of (i) a channel coordinating returns policy that maximizes the supply chain joint expected profit, and (ii) a profit sharing arrangement that gives the retailer an expected profit only slightly higher than that in the no returns case so that it is just enough to induce the retailer to accept the SCRC. Thus, the manufacturer captures as high a percentage as possible of the jointly maximum supply chain profit. However, this contract can sometimes lead to the manufacturer's resulting realized profit being lower than that in the no returns case when demand is lower than expected. In this context, even though profit is sufficiently attractive on average, will the risk-sensitive manufacturer ever consider applying a SCRC? Our research raises this question and focuses on designing a SCRC that can significantly increase the probability of the manufacturer's resulting realized profit being at least higher than that in the no returns case.

Predictability of Overnight Returns on the Cross-sectional Stock Returns (야간수익률의 횡단면 주식수익률에 대한 예측력)

  • Cheon, Yong-Ho
    • Asia-Pacific Journal of Business
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    • v.11 no.4
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    • pp.243-254
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    • 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.

An Analysis of the Relationship between Stock Prices and Trading Volume (거래량 정보와 주가 간의 관계분석)

  • Kwak, Byung-Gwan
    • Management & Information Systems Review
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    • v.26
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    • pp.1-26
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    • 2008
  • Since Capital Asset Pricing Model(CAPM) was proposed in the early 1960s by William Sharpe(1964) and John Lintner(1965) researchers have investigated the validity of the model. The results of empirical researches do not show that expected returns of stocks seem to be determined solely by systematic risk of the stocks as precicted by CAPM. In this paper the relationship between transaction volume and expected returns of stocks was investigated. Empirical cross-sectional analysis about the data collected from Stock Market of Korea Exchange shows transaction volume and variability of stock returns play an important role in pricing assets. The well-known variables which were used traditionally to explain the differences of expected returns among stocks such as the size and beta of a stock seems to be unimportant in pricing assets.

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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.

The Corporate Spinoffs and Long-run Stock Returns (기업분할의 장기성과에 대한 실증연구)

  • Hong, Dong-Hyun;Lee, Deok-Hoon;Hwang, Jae-Ho
    • Management & Information Systems Review
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    • v.25
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    • pp.83-114
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    • 2008
  • We examine whether spinoffs improve long-run stock returns and analyze the factors of long run stock returns. The measures of long run stock returns are CAR(Cumulative Abnormal Returns) and BHAR(Buy and Hold Abnormal Returns). The expected factors of abnormal returns are methods of spinoffs, size, BV/MV, administrative costs, cashflow and Herfindahl index. We find that long-run returns of the case such as carve-out methods, small size, high BV/MV, low administrative costs, low cashflow and low Herfindahl index are larger than those of other cases. We show positive relationship between spinoffs and long-run stock returns(CAR and BHAR). The results supports spinoffs, as the methods of focusing on core business, are very usefulness of corporate restructuring.

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Liquidity Risk and Asset Returns : The Case of the Korean Stock Market

  • Choe, Hyuk;Yang, Cheol-Won
    • The Korean Journal of Financial Management
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    • v.26 no.4
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    • pp.103-140
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    • 2009
  • This paper investigates various channels through which liquidity can affect stock returns and examines whether behavioral explanation for liquidity risk is reasonable. First, we examine whether liquidity level (average liquidity) plays a significant role in determining asset returns. The result is consistent with the hypothesis that a stock with higher average illiquidity will have a higher expected return. Second, we focus on the argument that liquidity has a non-diversifiable systematic component. If systemic liquidity has a different impact across individual securities, a stock that is more sensitive to systematic liquidity will have a higher expected return. The results of various tests are inconsistent with each other, not completely supporting the argument. Finally, the intra-market tests in Korea support the behavioral explanation for the liquidity premium, and the effect is stronger in the liquidity level than in the liquidity beta related to systematic liquidity.

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Sharia-based Stocks: Do Muslim Investors Prefer Metaphysical or Materialistic Returns?

  • MAHASTANTI, Linda Ariany;ASRI, Marwan;PURWANTO, Bernardinus M.;JUNARSIN, Eddy
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.609-621
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    • 2021
  • Faith-based investment instruments, such as sharia-based stocks, have developed rapidly in recent years. When investing in these instruments, investors tend to emphasize materialistic returns as measured with monetary returns and metaphysical returns, such as blessings from God (Allah) because of their observance of Islamic teachings. In this respect, it is important to investigate the role of individuals' religiosity in investment decision making in Sharia-based financial products. An equally crucial research question is whether individuals' religiosity levels affect expected material returns as measured by the tolerable negative returns of sharia-based stocks. This study relies on a survey method that involves university students in Java island who actively invest through the Investment Gallery of their faculties/ universities as the sample. Data is then analysed with the multinomial regression analysis technique. The results show that individuals who are more observant of their religious teachings are more likely to fully invest their funds in Sharia-based stocks and exhibit greater tolerance towards the negative returns of Sharia-based stocks. The findings indicate that Muslim investors who are more observant of Islamic teachings emphasize metaphysical returns from their investment decisions.