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The main objective of this article is to present the formulation of a Capital Asset Pricing Model ordered weighted average CAPMOWAand its extensions, called CAPM-induced OWA (CAPMIOWA), CAPM Bonferroni OWA (CAPMBon-OWA), and CAPM Bonferroni-induced OWA CAPMBon-IOWA. A step-by-step process for applying this new proposal in a real case of formulating investment portfolios is generated. These methods show several scenarios, considering the attitude, preferences, and relationship of each argument, when underestimation or overestimation of the information by the decision maker may influence the decision-making process regarding portfolio investments. Finally, the complexity of the method and the incorporation of soft information into the modeling process lead to generating a greater number of scenarios and reflect the attitudes and preferences of decision makers. [ABSTRACT FROM AUTHOR]

In this paper, we explore the connection between a single index model under the real-world probability measure and martingale pricing via minimal relative entropy or Esscher transform, within the context of a one-period market model, possibly incomplete, with multiple risky assets and a single risk-free asset. The minimal relative entropy martingale measure and the Esscher martingale measure coincide in such a market, provided they both exist. From their Radon–Nikodym derivative, we derive a portfolio of risky assets in a natural way, termed portfolio G. Our analysis shows that pricing using the Esscher or minimal relative entropy martingale measure is equivalent to a single index model (SIM) incorporating portfolio G. In the special case of elliptical returns, portfolio G coincides with the classical tangency portfolio. Furthermore, in the case of jointly normal returns, Esscher or minimal relative entropy martingale measure pricing is equivalent to CAPM pricing. [ABSTRACT FROM AUTHOR]

According to traditional portfolio theories constraints, restrictions, and screens applied in portfolio selection reduces the diversification opportunities which can impact financial performance. Is this true in the case of socially responsible investment (SRI)? To answer this, present study analyzes the performance of Socially Responsible (SR) indices in comparison to conventional indices in an emerging economy. The uniqueness of the study is that it analyses the performance of Shariah, ESG, and thematic indices in a single study. Further, the study measures the impact of Covid‐19 on them. Comparative performance evaluation was conducted by using absolute return analysis and risk‐adjusted measures namely, Sharpe ratio, Treynor ratio, tracking error, information ratio, capital asset pricing model (CAPM), Fama–French three‐factor, and Carhart's four‐factor models. The Structural break was identified, hence analysis was conducted for the total period (January 2017–March 2023) and two sub‐periods, that is, pre and post‐Covid‐19 period. No significant difference was found between the returns of SR indices and conventional indices as against the benchmark index on the basis of absolute return analysis. Sharpe ratio and Treynor ratio both were having negative values for all the SR and conventional indices. Tracking error for all the SR and Conventional indices were very low. The CAPM and both multi‐factor models univocally pointed toward the underperformance of all the SR (except S&P BSE 100 ESG index which had equal performance) and both conventional indices against the benchmark index. Noteworthy point is that only Shariah indices gave the highest returns during post‐Covid period. This research will help in deepening the SRI in the capital market. Companies should increase their ESG scores and make efforts to be listed on the SR indices. Policymakers should announce some kind of rebates, or recognition for star‐performing companies in the field of sustainability to encourage other companies to adopt SR practices in their business operations. The novelty of the current study is that it adds to the socially responsible literature by analyzing the performance of Shariah, ESG, and Thematic indices and conventional indices in a single study in the fastest‐growing economy of India and analyses the impact of Covid‐19 on this performance. [ABSTRACT FROM AUTHOR]

This research work extends the least squares criterion. The regression models which have been treated so far in the literature do not study multilinear relationships between variables. Such relationships are of a nonlinear nature. They take place whenever two or more than two univariate variables are the components of a multiple variable of order 2 or an order greater than 2. A multiple variable of order 2 is not a bivariate variable, and a multiple variable of an order greater than 2 is not a multivariate variable. A multiple variable allows for the construction of a tensor. The α -norm of this tensor gives rise to an aggregate measure of a multilinear nature. In particular, given a multiple variable of order 2, four regression lines can be estimated in the same subset of a two-dimensional linear space over R. How these four regression lines give rise to an aggregate measure of a multilinear nature is shown by this paper. In this research work, such a measure is an estimate concerning the expected return on a portfolio of financial assets. The metric notion of α -product is used to summarize the sampling units which are observed. [ABSTRACT FROM AUTHOR]

The metaverse, a virtual universe in which individuals and companies can interact, has become of paramount importance in China in recent years. While the metaverses are still in their infancy, there has been a growing interest and influx of capital into these universes. Shariah-compliant corporations have been gradually attracting significant funds from Islamic countries, given the growing strong engagement and trade. Similarly, metaverse corporations have been gaining significant sizes in the Chinese market and have become cornerstones of the investment landscape. For Islamic investors, questions arise whether these new metaverse corporations provide better returns given the massive hype and media attention they have attracted, and whether a portfolio investment into these corporations deliver the benefits promised. The article provides a comparative analysis between Chinese Islamic metaverse and Shariah-compliant enterprises, where all enterprises have either A or H-shares. The performance analysis over a timespan of 10 years demonstrates that the most optimal portfolios have similar expected returns while general Shariah-compliant enterprises provide significantly lower risks as compared to the metaverse ones. This implies that Shariah-compliant enterprises provide significantly more value for the risk they are attributed and are more sustainable. [ABSTRACT FROM AUTHOR]

Real options appraisal in investment projects provides a robust framework for decision-making under uncertainty, especially in the context of large-scale industrial operations. This research focuses on real options appraisal for an investment project in a coal processing plant at PT XYZ's ABC mine operation. The need for this research arises due to the inherent uncertainty of fossil energy sources, regulatory changes, and technological developments that significantly impact the viability and profitability of mining projects. The main objectives of this study are to evaluate the feasibility of different investment strategies for the ABC mine operation using real options appraisal and to determine the impact of various uncertainties on project profitability. The methodology used was a combination of qualitative and quantitative analysis, including scenario planning, sensitivity analysis, and the use of Monte Carlo simuDEFon to model the potential outcomes and risks associated with different investment options. The expected outcomes of this research include a comprehensive valuation model that incorporates uncertainties specific to the coal industry and provides actionable insights for PT XYZ's investment decisions. The model aims to decide on expansion projects with reference to constraints optimising the timing and scale of investments in ABC mine operations, thereby improving the company's ability to navigate investment project feasibility and regulatory changes. [ABSTRACT FROM AUTHOR]

The metaverse, a virtual universe in which individuals and companies can interact, has become of paramount importance in China in recent years. While the metaverses are still in their infancy, there has been a growing interest and influx of capital into these universes. Shariah-compliant corporations have been gradually attracting significant funds from Islamic countries, given the growing strong engagement and trade. Similarly, metaverse corporations have been gaining significant sizes in the Chinese market and have become cornerstones of the investment landscape. For Islamic investors, questions arise whether these new metaverse corporations provide better returns given the massive hype and media attention they have attracted, and whether a portfolio investment into these corporations deliver the benefits promised. The article provides a comparative analysis between Chinese Islamic metaverse and Shariah-compliant enterprises, where all enterprises have either A or H-shares. The performance analysis over a timespan of 10 years demonstrates that the most optimal portfolios have similar expected returns while general Shariah-compliant enterprises provide significantly lower risks as compared to the metaverse ones. This implies that Shariah-compliant enterprises provide significantly more value for the risk they are attributed and are more sustainable.

Purpose: Our result of this paper aims to indicate that the beta pricing formula could be applied in a long-term model setting as well. Design/methodology/approach: In this paper, we show that the capital asset pricing model can be derived from a three-period general equilibrium model. Findings: We show that our extended model yields a Pareto efficient outcome. Practical implications: The capital asset pricing model (CAPM) model can be used for pricing long-lived assets. Social implications: Long-term modelling and sustainability can be modelled in our setting. Originality/value: Our results were only known for two periods. The extension to 3 periods opens up a large scope of applicational possibilities in asset pricing, behavioural analysis and long-term efficiency. [ABSTRACT FROM AUTHOR]

Background Mucormycosis is a life-threatening fungal infection. Rhino-orbito-cerebral mucormycosis (ROCM) and pulmonary mucormycosis (PM) are the most common presentations. This systematic review focuses on the management of PM. Although the mortality from PM has improved over the last few decades, it is still high, at 49.8% (Muthu, Agarwal, et al., 2021). Objective The objective is to identify and map the management of PM. Design This review is designed for knowledge synthesis, with a systematic approach to identifying, synthesizing, and mapping treatment protocols for the management of PM. Methods This systematic review provides a clear, reproducible methodology. It is reported in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Inclusion criteria were defined: peer-reviewed journal articles published in English from 2018 to 2023 relating to treatment protocols for PM, where the full text of the article was available. Exclusion criteria were also defined - articles that focus on limited treatment regimens, such as the use of amphotericin B only, or topics not relevant to the research question, such as fungal infections and pulmonary diseases unrelated to mucormycosis. Results The results span six years, from 2018 to 2023, with 355 articles identified. After removing duplicates, 227 papers remained. Inclusion and exclusion criteria were applied, with 202 articles excluded as a result. The remaining 19 articles were deemed relevant. In addition, seven relevant articles were identified via citation tracking and two articles identified by hand search. Thus, a total of 28 articles thus reviewed. The management of PM was mapped in tabular and diagrammatic form. Conclusion The results indicate that early diagnosis, early and aggressive surgery, and effective antifungals may improve survival. There is a shift away from using Am-B and a clear preference for L-AmB as a first-line antifungal. Posaconazole and Isavuconazole are the drugs of choice for stepdown, maintenance, and salvage therapy, and as alternative therapies. The control of co-morbidities is a crucial aspect of treatment. Cytokines and hyperbaric oxygen may be beneficial. The therapeutic value of iron chelators, zinc, and nebulized amphotericin B (NAB) merit further study.

The famous Capital Asset Pricing Model (CAPM), widely used in practice, takes into account only the business risk associated with investments in a specific company [not the entire market (or industry)]. In practice, most listing companies use debt financing and operate at a non-zero leverage level. This means that the financial risk associated with the use of debt financing, along with business risk, must be taken into account. The purpose of this paper is to simultaneously account for business and financial risk. We combined the CAPM theory and the Modigliani-Miller (MM) theory, which is the perpetual limit of the BFO (Brusov-Filatova-Orekhova) theory. The article shows that R. Hamada’s attempt to take into account both business and financial risks has proved unsustainable, and the formulas he obtained, widely used in practice, are incorrect. The paper outlines the correct formulae that made it possible to generalize CAPM for the first time, taking into account both business and financial risk. The application of the new CAPM 2.0 model to a number of companies is considered and the difference between the results obtained within the framework of CAPM 2.0 and CAPM is demonstrated. CAPM is one of the main models [along with APT (arbitrage pricing theory) and WACC] within the income approach to business valuation. This significantly increases the value of the developed CAPM 2.0 approach, which can significantly improve the accuracy of the assessment.

This study aims to answer the following research question: Are the Capital Asset Pricing Model (CAPM) and International Capital Asset Pricing Model (ICAPM) valid in the Istanbul Stock Exchange (ISE)? No broad agreement has been reached in the literature on this question, yet. Using an unbalanced panel of daily stock returns of companies in the BIST-30 index and as of BIST-100 index from March 2010 to February 2019, this paper seeks to provide new evidence on this discussion and explores whether the risk-expected return relationship is linear. In the empirical framework, panel regression analysis methodology is employed. Our findings indicate that both linear CAPM and linear ICAPM models are valid in ISE. Moreover, it is observed that the ICAPM outperforms the CAPM in explaining the stock returns for both indices. This outperformance is especially more pronounced for BIST-30 than BIST-100. Depending on these findings, investors can easily prioritize BIST-100 over BIST-30 when constructing portfolios to reduce risk in the Turkish market, given the fact that exchange rate-relevant diversification is greater in BIST-100.

This paper examines the stochastic behaviour of the realized betas in the CAPM model for the ten largest companies in terms of market capitalisation included in the U.S. Dow Jones stock market index. Fractional integration methods are applied to estimate their degree of persistence at daily, weekly, and monthly frequencies over the period July 2000–July 2020 over time spans of 1, 3, and 5 years. On the whole, the results indicate that the realized betas are highly persistent and do not exhibit weak mean-reverting behaviour at the weekly and daily frequencies, whilst there is some evidence of weak mean reversion at the monthly frequency. Our findings confirm the sensitivity of beta calculations to the choice of frequency and time span (the number of observations). [ABSTRACT FROM AUTHOR]

We clear up an ambiguity in the statement of the GRS statistic by providing the correct formula of the GRS statistic and the first proof of its F-distribution in the general multiple-factor case. Casual generalization of the Sharpe-ratio-based interpretation of the single-factor GRS statistic to the multiple-portfolio case makes experts in asset pricing studies susceptible to an incorrect formula. We illustrate the consequences of using the incorrect formulas that the ambiguity in GRS leads to—over-rejecting and misranking asset pricing models. In addition, we suggest a new approach to ranking models using the GRS statistic p-value. [ABSTRACT FROM AUTHOR]

This article considers tests of alpha in linear factor pricing models when the number of securities, N , is much larger than the time dimension, T , of the individual return series. We focus on class of tests that are based on Student's t -tests of individual securities which have a number of advantages over the existing standardized Wald type tests, and propose a test procedure that allows for non-Gaussianity and general forms of weakly cross-correlated errors. It does not require estimation of an invertible error covariance matrix, it is much faster to implement, and is valid even if N is much larger than T. We also show that the proposed test can account for some limited degree of pricing errors allowed under Ross's arbitrage pricing theory condition. Monte Carlo evidence shows that the proposed test performs remarkably well even when T  =   60 and N  =   5000. The test is applied to monthly returns on securities in the S&P 500 at the end of each month in real time, using rolling windows of size 60. Statistically significant evidence against Sharpe–Lintner capital asset pricing model and Fama–French three and five factor models are found mainly during the period of Great Recession (2007M12–2009M06). [ABSTRACT FROM AUTHOR]

Research background: Conventional CAPM is a well-known and tested theory on various capital markets. It was also repeatedly rejected as a model of capital pricing. This article proposes a different approach to both CAPM testing and the use of other risk measures. In addition, research is global, including emerging countries. Purpose of the article: This paper investigates the standard CAPM, and this model is based on higher moments of the return distribution for the global emerging market. In addition, this paper aims to compare the conventional and downside CAPM versions using the beta coefficient and co-moments. Methods: Contrary to the classical unconditional tests for the risk premium, conditional relationships are also estimated considering the market portfolio condition. Moreover, the studies considered conventional and downside approaches to risk measures. The cross-sectional regressions are based on the Fama-MacBeth (F-M) procedure and panel models. Findings & value added: The findings contribute to the debate on whether beta coefficient and higher order co-moments in conventional and downside approaches can explain the crosssectional emerging indices returns. The unconditional models using all measures do not significantly describe the cross-sectional volatility of returns. The cross-sectional regressions in up and down-market based on both the classic F-M procedure and panel models show that the beta and co-kurtosis risk premium is significant and depends on market conditions. The risk premium for co-skewness is not valid, and the direction of the relationships is opposite than expected. Research also demonstrates that the test results of CAPM relationships are not robust to the presence of outliers and shocks resulting from the Covid-19 pandemic in the context of risk-return space. Research provides strong support for the importance of downside risk in the context of standard CAPM and, above all, higher co-moments. [ABSTRACT FROM AUTHOR]

This paper explores the use of nonparametric methods to estimate factor models in finance. Nonparametric methods are used to estimate alphas (pricing errors) and betas (factor loadings) in the conditional Capital Asset Pricing Model and conditional multifactor models. Nonparametric estimation of factor modeling involves choosing techniques which are different both technically and in application, but common in the nonparametric literature. Nonparametric methodology does not impose any functional form on how alphas or betas evolve over time. Local data is used in estimations, but of crucial significance is the bandwidth selection or optimal window size. Clearly, observations further away from time t are less relevant in estimating time t alphas and betas, if we are too far away from time t we potentially have a very large bias. However, if too small a bandwidth is selected, the estimate could be quite noisy, leading to a large variance. This paper discusses three topics in the realm of nonparametric multifactor modeling. I explore two contributions to the literature, a leave-one-outcross- validation technique and a plug-in technique, and compare their effectiveness. The cross-validation method is completely data driven, while the plug-in method relies on choosing an unknown parameter in estimating the optimal window size. Cross validation emerges as the more robust methodology. Using the same data, both nonparametric approaches are compared to the traditional parametric Fama-French three factor model. [ABSTRACT FROM AUTHOR]

Objetivo: Este artigo busca elucidar se a particularidade do alto nível de explicação da relação do retorno da carteira de mercado e o retorno das ações de empresas do setor de petróleo no Brasil ocorre de maneira semelhante em outros mercados. Metodologia: A pesquisa considerou as principais petrolíferas elencadas pelas revistas Forbes, Fortune e Exame a partir de seu valor de mercado e de receita em dólar no ano de 2018, assim como a movimentação de suas ações e das respectivas carteiras de mercado no período de 02 de janeiro de 2015 e 31 de março de 2021. Inicialmente foi efetuada uma regressão simples considerando um fator sistêmico, através da métrica do CAPM. Posteriormente, foram acrescidos outros fatores (taxa do dólar e preço do barril de petróleo tipo Brent e WTI) com vistas a eventual melhoria do modelo, utilizando-se a métrica multifatorial – APT. Como forma de identificar os impactos da Covid-19, os períodos foram segregados em integral, ex-ante e ex-post. Neste formato, o período ex-post apresentou resultados “não esperados”, o que levou a pesquisa a segregá-lo em trimestres. Resultados: Os resultados obtidos em todos as análises confirmaram, embora parcialmente, que o alto poder de explicação (superior a 50%) da variabilidade do retorno das ações ordinárias da Petrobras pela variabilidade do retorno da carteira de mercado do Ibovespa (B3), ocorre em outros mercados. A pesquisa observou que o Coeficiente de Explicação tende a captar de forma mais significativa os efeitos de crises que advêm de contextos econômicos locais e impactos para a economia mundial, a exemplo de eventual redução no nível do produto interno bruto de países como os Estados Unidos ou a China. Já para evento inesperado, a exemplo da Covid-19, o modelo, em princípio, não apresentou igual resultado, o que pôde ser observado nas análises trimestrais. Contribuições do Estudo: A pesquisa contribui nas tarefas de gestores e investidores, ao demonstrar as similaridades que preveem eventos futuros relacionados à cotação do mercado acionário e que, por consequência, auxiliam em tomadas de decisões dos stakeholders.

Amaç: Şirketler paylarını ilk halka arz yöntemi ile ihraç ederek fon ihtiyacını giderme, kredibilite ve likidite gibi çeşitli avantajlar sağlamaktadır. Bununla birlikte pay senetlerinin düşük fiyatlandırılması gibi halka arz kararını etkileyebilecek bazı dezavantajlar da bulunmaktadır. Bu çalışmanın amacı, Borsa İstanbul’da (BİST) 2005-2020 yılları arası ilk halka arzı gerçekleşen pay senetlerinde düşük fiyatlama olgusunun varlığını test etmektir. Yöntem: Olay etüdü yönteminin kullanıldığı çalışmada, anormal getiriler piyasaya göre düzeltilmiş anormal getiri modeli ve sermaye varlıkları fiyatlama modeli (SVFM) ile hesaplanmıştır. Bulgular: Piyasaya göre düzeltilmiş anormal getiri modeli ile SVFM’nin karşılaştırıldığı t-testi sonucunda iki modele göre hesaplanan anormal getiriler arasındaki farkın anlamlı olduğu görülmüştür. Anormal getiri ortalamaları piyasaya göre düzeltilmiş anormal getiri modelinde SVFM’ye göre daha yüksek bulunmuştur. Sektörlere göre anormal getiriler arasında anlamlı bir farklılık olup olmadığını değerlendirmek amacıyla yapılan ANOVA testi sonucunda sektörler arasında düşük fiyatlama açısından anlamlı bir farklılık görülmemiştir. Sonuç: İki model açısından da düşük fiyatlandırmanın varlığı tespit edilmiştir.

The main objective of this article is to present the formulation of a Capital Asset Pricing Model ordered weighted average CAPMOWAand its extensions, called CAPM-induced OWA (CAPMIOWA), CAPM Bonferroni OWA (CAPMBon-OWA), and CAPM Bonferroni-induced OWA CAPMBon-IOWA. A step-by-step process for applying this new proposal in a real case of formulating investment portfolios is generated. These methods show several scenarios, considering the attitude, preferences, and relationship of each argument, when underestimation or overestimation of the information by the decision maker may influence the decision-making process regarding portfolio investments. Finally, the complexity of the method and the incorporation of soft information into the modeling process lead to generating a greater number of scenarios and reflect the attitudes and preferences of decision makers.

Purpose: This article aims to elucidate whether the particularity of the high level of explanation of the relationship between the return on the market and the return on shares of companies in the oil sector in Brazil occurs similarly in other markets. Methodology: The oil companies considered were listed as the main ones by Forbes, Fortune and Exame magazines. Their shares and market movement were obtained from their respective host countries stock exchanges, and other information on institutional websites (e.g: OPEC - Organization of the Petroleum Exporting Countries). As theoretical support, CAPM and APT metrics were applied between from January 2, 2015, to March 31, 2021. Results: Considering the privileged position of the fuel sector for the movement of the level of economic activity of the countries, the result of this research confirmed that the particularity of the Brazilian scenario is observed in other countries with regard to the high level of explanation of the return of the superior market portfolio at 50%. The research observed that the Explanation Coefficient tends to capture in a more significant way the effects of crises that come from local economic contexts and impacts on the world economy, such as a possible reduction in the level of gross domestic product of countries such as the United States or China. As for the unexpected event, such as Covid-19, the model, in principle, did not present the same result, which could be observed in the quarterly analyses. Contributions of the Study: Research can help managers and investors, as by demonstrating similarities one can predict future events or assist in decision-making. [ABSTRACT FROM AUTHOR]

Purpose: This article aims to elucidate whether the particularity of the high level of explanation of the relationship between the return on the market and the return on shares of companies in the oil sector in Brazil occurs similarly in other markets. Methodology: The oil companies considered were listed as the main ones by Forbes, Fortune and Exame magazines. Their shares and market movement were obtained from their respective host countries stock exchanges, and other information on institutional websites (e.g: OPEC - Organization of the Petroleum Exporting Countries). As theoretical support, CAPM and APT metrics were applied between from January 2, 2015, to March 31, 2021. Results: Considering the privileged position of the fuel sector for the movement of the level of economic activity of the countries, the result of this research confirmed that the particularity of the Brazilian scenario is observed in other countries with regard to the high level of explanation of the return of the superior market portfolio at 50%. The research observed that the Explanation Coefficient tends to capture in a more significant way the effects of crises that come from local economic contexts and impacts on the world economy, such as a possible reduction in the level of gross domestic product of countries such as the United States or the China. As for the unexpected event, such as Covid-19, the model, in principle, did not present the same result, which could be observed in the quarterly analyses. Contributions of the Study: Research can help managers and investors, as by demonstrating similarities one can predict future events or assist in decision-making. [ABSTRACT FROM AUTHOR]

The study focuses on the selected aspects of investment measurement and management for the support of financial and economic decision-making of investors in wood-processing sectors. The aim of the study was to analyze the indicators for the structure and cost of capital of furniture and paper/forest branches in Slovakia, quantify the actual expected return on investment based on the selected methodology, and consequently find out the fundamental differences resulting from the specific conditions of given sectors. Methodologically, the study uses procedures for the weighted average cost of capital (WACC), capital asset pricing model (CAPM) for determining the cost of equity, and calculation of the beta coefficient considering the risk premium. The results of the study demonstrated a similar levered beta in both analyzed sectors (1.17 in furniture, 1.20 in paper/forest), but in each sector for a different reason. The expected rate of return is higher in furniture (7.84%) compared to paper/forest products at the level of 6.04%. The findings provide the possibility of comparing the required and expected rate of return on invested capital and making the appropriate long-term investment decisions. [ABSTRACT FROM AUTHOR]

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The stock exchanges of CEE countries constitute a minor part of the capital of the entire Europe, but they are dynamically developing and cooperating capital markets. After 30 years of development, it seems reasonable whether the processes of asset pricing in them are aimed at the efficiency level of developed markets and are subject to the postulates of pricing models, such as CAPM. The work aims to test the standard CAPM using the CEE country indices. Apart from the classical approach, conditional regressions in relation to the global market condition are an important contribution to the research. The obtained results indicate that the significance of the risk premium, largely depends on the sign of the market returns, showing the advantage of conditional relations over unconditional ones. The research analyzed the sensitivity of the results to the existing socio-political crises and assessed the risk of selected stock exchanges. [ABSTRACT FROM AUTHOR]

Based on all daily A-share data from January 2006 to December 2021, this study examines the relationship between overnight and intraday returns and market beta using Fama-Macbeth regressions and panel regressions to explore the reasons for the weak correlation between systematic risk and full-day returns in the Chinese A-share market. The results show that the overnight risk premium of the Chinese A-share market is significantly negative. The intraday risk premium is negligible when portfolios are sorted by beta, industry and Book-to-Market ratios, and stock characteristics. The slope of the securities market line (SML) tends to zero due to the interaction of the uncertain intraday risk premium and the negative correlation between overnight returns and market risk. [ABSTRACT FROM AUTHOR]

In this article, we outline problems with the standard test for herding developed by Chang, Cheng and Kohrana (2000), subsequently called the CCK test, which is based on the proposition that the cross‐sectional absolute deviation of stock returns (CSAD) should be linearly related to overall market returns. We show that the test is highly biased against finding herding. The bias arises because the test assumes that, in the absence of herding, stock prices follow the Capital Asset Pricing Model (CAPM) but does not account for the implications of the CAPM not being a perfect asset pricing model. We suggest several simple alternative tests for herding. Finally, we show that the new tests give radically different results to the CCK test finding herding in many of the world's major financial markets when the CCK test rejects herding. [ABSTRACT FROM AUTHOR]

The main goal of this study is to examine the return explanation strengths of the Carhart four-factor, the Fama-French three-factor, and the single-factor models in the context of the Bangladeshi stock market. We, therefore, reveal the risk-adjusted returns, test the valuation capability of multi-factor models, and estimate optimal portfolio weights of stocks listed in DSE under the DSE30 index. Our findings demonstrate that large capitalization firms that have low or medium book-to-market (B/M) ratios produce more concentrated returns than their counterparts, resulting in greater earnings per unit of total, systematic, and downside risks. Furthermore, we discover that each factorial value has an impressive capacity to explain the market excess returns; however, the influence of factor values on the cross-section of stock returns is somewhat contradictory. In particular, the momentum factor is unable to describe the cross-section excess returns, whereas the risk premium, size, and value factors have a significant impact on the cross-section excess returns. Finally, we find that a large-cap firm with a low B/M ratio is suitable for risk-seeking investors; in contrast, a small-cap firm with a low B/M ratio is appropriate for lower risk tolerance investors. Moreover, our empirical outcomes have noteworthy implications for private companies, investors, and policymakers. [ABSTRACT FROM AUTHOR]

With the economy experiencing rapid growth in recent years, more individuals have started venturing into the stock market. Precisely forecasting the rate of return can mitigate investment risks for stock investors and significantly enhance their investment returns. The Capital Asset Pricing Model (CAPM) and the 3-factor Fama-French model (FF3) are widely recognized in academic and practical settings. This model comparison provides frameworks to analyze the relationship between portfolio risk and return in inefficient markets, contributing to applied data science in finance behavior. This research utilized the Support Vector Regression (SVR) algorithm to forecast the returns of a diversified portfolio in the Hanoi stock market (HNX) from 2010 to 2022. Initially, this study calculated the factors and subsequently constructed diversified portfolios. Subsequently, the explanatory power of the CAPM and FF3 models were compared using the Ordinary Least Squares (OLS) algorithm. Finally, this research incorporated the SVR algorithm within the FF3 framework to develop a predictive model. The research findings demonstrate that the FF3 model provides a superior explanation to the CAPM model. Additionally, the study reveals that the SVR algorithm outperforms the OLS algorithm in terms of efficiency, as it yields lower Root Mean Square Error (RMSE) values. Nevertheless, despite its advantages, the FF3 model still falls short regarding explanatory factors. Consequently, the next research direction entails replacing the FF3 model with a more comprehensive multi-factor model, anticipating obtaining an enhanced predictive model. [ABSTRACT FROM AUTHOR]

The aim of the study is to evaluate the return performances of the BIST-50 and BIST-30 conventional equity indices traded in Borsa Istanbul and the KAT-50 and KATLM-30 Islamic indices on the basis of the performance of the BIST-100 market index. The sample of the study consists of two sub-periods as 9 July 2014-10 March 2020 COVID-19 pre-pandemic and 11 March 2020-30 September 2021 COVID-19 pandemic period. In the study, which deals with the daily closing values of the indices, the return performances are evaluated with the Sharpe, Treynor and Jensen Alpha analysis, which are Risk Adjusted performance criteria. According to the findings, the highest average earnings are obtained from traditional indices in the pre-COVID-19 period, and from Islamic indices during the COVID-19 period. The returns of traditional indices in the pre-COVID-19 period and the returns of Islamic indices in the period of COVID-19 are determined to be more sensitive to market fluctuations. In this respect, while the investment instruments with the highest systematic risk and return are traditional indices in the pre-COVID-19 period, Islamic indices are determined in the COVID-19 period. Finally, according to each performance criterion, it is revealed that while conventional indices showed higher return performance in the pre-pandemic period, Islamic indices performed higher in the COVID-19 period. As a result, when index investments are evaluated, it is predicted that conventional indices will be a better option for investors in pre-pandemic period and Islamic indices in turbulent periods when volatility is high. [ABSTRACT FROM AUTHOR]

Timor-Leste is a new country still in the process of economic development and does not yet have a capital market for stock and bond investments. These two asset classes have been invested in international capital markets such as the US, the UK, Japan, and Europe. We examine the performance of the capital asset pricing model (CAPM) and the Fama–French three-factor and five-factor models on the excess returns of Timor-Leste's equity and bond investments in the international market over the period 2006 to 2019. Our empirical results show that the market factor (MKT) is positively and significantly associated with the excess returns of the CAPM and the Fama–French three-factor and five-factor models. Moreover, the two variables Small Minus Big (SMB) as a size factor and High Minus Low (HML) as a value factor have a negative and significant effect on the excess returns in the Fama–French three-factor model and five-factor model. Further analysis revealed that the explanatory power of the Fama–French five-factor model is that the Robust Minus Weak (RMW) factor as a profitability factor is positively and significantly associated with excess returns, while the Conservative Minus Aggressive (CMA) factor as an investment factor is insignificant. [ABSTRACT FROM AUTHOR]

We provide a novel explanation for the empirical failure of the capital asset pricing model (CAPM) despite its widespread practical use. In a rational-expectations economy in which information is dispersed, variation in expected returns over time and across investors creates an informational gap between investors and the empiricist. The CAPM holds for investors, but the securities market line appears flat to the empiricist. Variation in expected returns across investors accounts for the larger part of this distortion, which is empirically substantial; it offers a new interpretation of why "betting against beta" (BAB) works: BAB really bets on true beta. The empiricist retrieves a stronger CAPM on days when public information reduces disagreement among investors. [ABSTRACT FROM AUTHOR]

In this study, the explanatory power of the macro variables in relation to the variation of stock returns has been discussed in terms of the economy of the USA. To make an analysis of the cross-section of the stock returns, 131 Macroeconomic variables between 1964 and 2007 have been put into use. Summing up the information in 131 monthly series, dynamic factor analysis is used to take out 8 potential factors. So that the pragmatic presentation of the factor model can be measured, Fama-Macbeth’s test procedure of two phases is applied. In addition to the variables included in the literature such as market risk factor, size factor, value factor, and momentum factors, it is found that the macro factors are highly influential on the explanation of the common variation in U.S stock returns. The tests stated above have been performed by means of Fama French 49 industry portfolios, apart from Fama French 100 portfolios that have been formed on size and book. Furthermore, the factor model is established and intended for certain periods of boom and recession. The relations established between latent factors and stock returns appear to be unimportant during the downturn periods.

Objective: Previous studies found several important risk factors for the capital market in explaining stock performance. However, most studies only consider conventional investment factors without considering sustainable ones. This study examines Environmental, Social, and Governance (ESG) performance’s effect as a risk factor in a multi-factor model. Design/Methods/Approach: This study employs secondary data from the company’s financial reports, annual reports, and Thomson Reuters ESG score data. The sample for this study were companies listed on the LQ45 index during the 2015-2019 period, which were selected using the purposive sampling method and produced a selection of 19 non-financial companies that met the criteria. Findings: The results show that ESG negatively affects 21 out of 30 portfolios, and the four-factor ESG model is better at explaining excess returns than the three-factor Fama-French model. Originality/Value: This study provides new insights by including ESG as a risk factor in the three-factor Fama-French model in explaining stock returns. The existence of the ESG variable allows us to identify whether sustainability is an essential determinant in explaining the average portfolio return. This study adds new insights, where using sustainability reports in the form of ESG can capture cross-sectional variations in stock returns, not only on market factors, size factors, and book-to-market factors. Practical/Policy implication: Given the established evidence that ESG factors can mitigate risk, investors are encouraged to thoroughly evaluate a company’s sustainability report to assess the efficacy of its ESG performance. For managers of companies, this serves as the foundation for developing strategies that will enhance the long-term profitability and sustainability of the organization.