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This paper aims to analyse the risk and excess returns of the Spanish real estate investment trusts (S-REITs) using various methods, though focusing primarily on the Fama-French three-factor (FF3) model, over the period from 2007Q3 to 2017Q2.

The autoregressive distributed lag model is used for the empirical analysis to test long-term stable relationships between variables.

The findings indicate that the FF3 model is suitable for the S-REITs market, better explaining the S-REITs’ returns variation than the traditional single-index capital asset pricing model (CAPM) and the Carhart four-factor model. The empirical evidence is reasonably consistent with the FF3 model; the values for the market, size and value are highly statistically significant over the analysis period, with 68.7% variation in S-REITs’ returns explained by the model. In the long run, the market factor has less explanatory power than the size and value factors; the positive long-term multiplier of the size factor indicates that small S-REIT companies have higher returns, along with higher risk, while the negative multiplier of the value indicator suggests that S-REITs portfolios prefer to allocate growth REITs with low book-to-market ratios. The empirical findings from a modified FF3 model, which additionally incorporates Spain’s gross domestic product (GDP) growth rate, two consumer price index (CPI) macro-factors and three dummy variables, indicates that GDP growth rate and CPI also affect S-REITs’ yields, while investment funds with capital calls have a small influence on S-REITs’ returns.

The regression results of the standard and extended FF3 model can help researchers understand S-REITs’ risk and return through a general stock pattern. Potential investors are given more information to consider the new Spanish investment vehicle before making a decision.

The paper uses standard techniques but applies them for the first time to the S-REIT market.

Investors who can transfer their savings to investments in a well-regulated market benefit not only themselves but also economic development. Hence, it is crucial for fund owners to evaluate their stock market investment decisions. The goal of the study is to understand which model determines the asset returns most efficiently. In this regard, the validity of single and multi-index asset pricing models (capital asset pricing model-CAPM and Fama–French models) has been examined in the Turkish Stock Exchange for 2009–2020, with the quantile regression (QR) approach.

On 18 portfolios comprised of quoted stocks in the Istanbul Stock Exchange 100 (ISE-100/BIST-100), we test the CAPM, the Fama and French three factor model (FF3) and the Fama and French five factor model (FF5). Empirical analyses have been carried out via QR approach regressing the portfolios' average weekly excess returns on risk premium/market factor (Rm-Rf), firm size, book value/market value (B/M), profitability and investments factors. QR estimation has been employed since QR is more effective and provides a better definition of the distribution’s tails.

Our empirical findings have revealed that the average excess weekly returns can be explained more strongly via CAPM. Moreover, Fama and French models are expected to give more reliable result with more data, whereas the market premium would give robust results for the Turkish Capital Market.

Individuals investing in financial assets must find the price model that best fits the market. The return can be approximated in the most appropriate manner using the right variables.

The study differs from other research by comparing the asset pricing models via examining the assets' weekly returns with QR in the Istanbul Stock Exchange 100 (ISE-100).

This paper examines the role of illiquidity and duration factor in understanding the momentum profit in the Korean stock market. We find that the foreigner/institutional illiquidity factor explains the momentum effect. In addition, this paper finds that duration factor defined as the difference in returns of short-duration and long-duration stocks captures well the momentum profits. That is, a two-factor model with the market and duration factor performs much better than competing asset pricing models in explaining the momentum effect. Finally, when controlling for the duration factor, the explanatory power of the foreign/institutional illiquidity factor on the momentum profits disappears. In sum, our empirical finding indicates that the duration factor is the most important ingredient in understanding the momentum effect in the Korean stock market.

The purpose of the study is to examine the implementation of Enterprise Resource Planning (ERP) on the announcement of firms’ stock market returns. The authors investigate the stock market reaction on ERP adopters and ERP vendor firms in the USA during 1990-2010. The study examines firm- and non-firm-specific factors including the role of the financial analyst in explaining the determinants of the cumulative abnormal returns surrounding ERP announcements of adopting firms.

Data on ERP system implementation announcements of 112 US firms for the period 1990-2010 were collected from LexisNexis Academics. The authors estimate abnormal returns using an event study methodology for each of the ERP announcements based on the Fama–French three-factor and Fama–French-momentum four-factor models for ERP adopters and for vendors. Subsequently, the authors explain the determinants of abnormal returns in terms of firm and non-firm behavioral variables using cross-section regression methodology.

The empirical results establish that cumulative abnormal returns of US firms on ERP system implementation announcements are positive, signifying that investors view this decision positively and that ERP implementation contributes to enhanced business value in the future. On the contrary, the impact of ERP announcements on vendors is muted. We find that the extent of financial analyst coverage negatively impacts abnormal returns, while the extent of stock market liquidity has a significant positive impact on abnormal returns.

This study is based on a sample of ERP implementing firms which are predominantly large firms and on technology provided by one vendor that is predominantly monopolistic.

Firms’ attitudes toward implementing an ERP system for future efficiency gains and the implications on the stock market (and indirectly, on the cost of equity of adopters) provide valuable insights for firms and stock markets.

This study brings clarity to the debate on stock market impacts of ERP implementation announcements – stock markets cheer such announcements. The study also contributes to the literature by examining firm-specific factors (such as performance, size and leverage) and non-firm-specific factors (such as market risk and analyst coverage) in explaining the determinants of abnormal returns of firms announcing ERP investment.

The purpose of this paper is to determine the impact of the passage and signing of P.L. 111-353, the Food Safety Modernization Act (FSMA), on the market value of agribusiness firms.

The authors conduct an event study of the shareholder value effects of FSMA. The short-window analyses estimate the three-, five-, and seven-day market responses to three key event dates: passage by the House, passage by the Senate, and the signing of FSMA by President Obama. The long-window analyses examine a time period that encompasses the three informational events, as well as the 30 months after the signing of FSMA. To control for the effects of market-wide fluctuations, the authors use two alternative models of the returns generating process to calculate abnormal returns, the Capital Asset Pricing Model (CAPM) and the Fama-French three-factor model.

The short-window analyses show no evidence of a significant reaction to the passage of FSMA by the House or the Senate, but evidence of a significant negative reaction to the signing of FSMA by President Obama. The long window results which span the of passage by House, passage by the Senate and signing by the President indicate a decline in the average market value of agribusiness firms on the order of – 10 percent over the period. Additionally, the authors find some evidence that this effect is not evenly spread out across different types of agribusiness firms (wholesale, grocery, and processing).

The study is the first to examine the impact of P.L.111-353 on the market value of agribusiness firms.

This paper evaluates the performance of actively managed conventional and Islamic equity funds in a developing economy with a focus to assess the performance-growth puzzle posited by Gruber (1993) (a.k.a Gruber’s puzzle). Under the context of an emerging market of Pakistan, this study explores if actively managed equity fund (AMEF) managers have been able to add value by outperforming the market in terms of stock-selection and market-timing abilities; and the comparative performance analysis of Islamic versus conventional AMEFs is also carried out.

We employ Sharpe and Treynor ratios, Capital asset pricing model, Fama–French three factors model (1993), Carhart four-factor model (1997) and Hendrickson (1981) market timing models on 45 equity funds comprising of 23 conventional and 22 Islamic equity funds operating in Pakistan for a period of 10 years. The overall sample period (2008–2018) is divided into two 5 years sub-periods (i.e. 2009–2013 and 2014–2018) and three 3 years sub-periods (2009–2011, 2012–2014 and 2015–2017) to be viewed in conjunction with the country's macro-economic condition.

We report that the actively managed equity funds (AMEFs) were unable to beat the market index with their stock selection or market timing capabilities. However, AMEFs depicted improved performance in the post-global financial crisis period where both conventional and Islamic AMEFs generated substantial rewards for the given amount of risk. Also, conventional AMEFs outperformed Islamic AMEFs potentially due to their holdings in highly leveraged value and large-cap stocks, while Islamic AMEFS invest more cautiously in small-cap and value firms. Analysis of market timing skills revealed that the funds have not been able to select the undervalued stocks and adopted a defensive strategy in the post-global financial crisis recovery period.

Our findings shed some interesting insights and raise some pertinent questions for research, policy, and practice – specifically for developing countries’ context. The no ‘return-growth’ configuration defies its fit with the ‘Gruber puzzle’ and somewhat presents a case of what we call the ‘Inverse Grubber puzzle’. This novel notion of the ‘Inverse Grubber puzzle’ should inform policy and practice to reflect on their practices, institutional arrangement, regulatory framework and policy design in developing economies characterized by lacklustre performance and growth of AMEFs. For example, the regulatory design may consider focusing on stimulating financial inclusion and deepening by motivating low-cost Index tracker funds (ITFs) – with lower fund management costs, while allocating the avoided cost to flow towards effective marketing campaigns driving greater awareness, financial deepening, and investor base diversification. For future research, financial development researchers may explore the implications and appropriateness of AMEFs versus ITFs in other developing economies.

The work reported in this paper is original and constitutes a valuable asset for ethno-religious-sensitive investors. The research has not been published in any capacity and is not under consideration for publication elsewhere.

Mutual fund investors assess a fund manager’s skills when allocating their capital. To identify the rationale behind retail investors’ decisions, this study aims to examine the relation between mutual fund flows and abnormal returns (alpha), as well as the various risk factors in the Japanese mutual fund market, which has distinctive characteristics regarding investors and distributors.

Six standard asset pricing models are used to investigate how investors assess mutual fund managers’ skills: the market-adjusted return, the capital asset pricing model and the Fama–French three-factor model and its augmented versions.

Contrary to the literature, this study finds that investors in Japan mainly rely on alpha to assess mutual funds. In particular, investors respond to alpha for fund inflows and their evaluations depend on the market environment and their mutual fund search costs.

This study measures the response of investors to the skills of mutual fund managers in the Japanese market – especially for funds purchased through bank-related distributors that have aimed to capture inexperienced retail investors since deregulation in the 1990s – and reveals their high response to alpha.

This study develops an environment, social, and governance (ESG) momentum strategy by combining information about ESG scores and the momentum effect. This study, subsequently, applies the ESG momentum strategy to Taiwanese and Japanese stock markets and investigates the performance of the ESG momentum strategy in each market. Detailed comparisons of the ESG scores and ESG momentum performance between the two markets are conducted. The empirical results show that the ESG momentum strategy can obtain enhanced profits in the Taiwanese market, while the ESG momentum strategy cannot lead to substantial profits in the Japanese market. In addition, the ESG momentum effect in the Taiwanese market can last for three years after portfolio formation. In the Japanese market, the ESG contrarian strategy may deliver better profits than the ESG momentum strategy.

The dividend month premium is the phenomenon that firms have abnormal returns in predicted dividend month. This study aims to examine the dividend month premium in the Korean stock market, using common stocks listed on the KOSPI and KOSDAQ from January 1999 to December 2016. Abnormal returns are estimated using the following asset price models: capital asset pricing model, Fama–French three-factor model and the Fama–French–Carhart four-factor model. This study finds positive abnormal returns in predicted dividend months, and even for the within-firm portfolio that buys stocks in the predicted dividend months and sells the same stocks in other months. The price impact and the subsequent reversals are greater with lower liquidity and higher dividend yield, implying that the price pressure from dividend-seeking investors affects this dividend month premium. In addition, the anomalies with the pre-declaration stock are smaller than the post-declaration stock, suggesting the necessity to improve the cash dividend policy of post-declaration for market efficiency.

This paper aims to investigate how organization capital influences different forms of corporate risk. It also explores how the relationship between organization capital and risks varies in the cross-section of firms.

To test the hypothesis, this study employs the ordinary least squares (OLS) regression model using a large sample of the United States (US) data over the 1981–2019 period. It also uses an instrumental variable approach and an errors-in-variables panel regression approach to mitigate endogeneity problems.

The empirical results show that organization capital is positively related to both idiosyncratic risk and total risk but negatively related to systematic risk. The cross-sectional analysis shows that the positive relationship between organization capital and idiosyncratic risk is significantly more pronounced for the subsample of firms with high information asymmetry and human capital. Moreover, the negative relationship between organization capital and systematic risk is significantly more pronounced for firms with greater efficiency and firms facing higher industry- and economy-wide risks.

The findings have important implications for investors and policymakers. For example, since organization capital increases idiosyncratic risk and total risk but reduces systematic risk, investors should take organization capital into account in portfolio formation and risk management. Moreover, the findings lend support to the argument on the recognition of intangible assets in financial statements. In particular, the study suggests that standard-setting bodies should consider corporate reporting frameworks to incorporate the disclosure of intangible assets into financial statements, particularly given the recent surge of corporate intangible assets and their critical impact on corporate risks.

To the best of the authors' knowledge, this is the first study to adopt a large sample to provide systematic evidence on the relationship between organization capital and a wide range of risks at the firm level. The authors show that the effect of organization capital on firm risks differs remarkably depending on the kind of firm risk a particular risk measure captures. This study thus makes an original contribution to resolving competing views on the effect of organization capital on firm risks.