مجله مدیریت دارایی و تامین مالی
سال یازدهم شماره 3 (پیاپی 42، پاییز 1402)

Conventionally, it is thought that stocks with a high risk should yield higher returns. However, this notion is empirically incorrect. The reason for such a contradiction can be investors' feelings. Therefore, the purpose of this study was to investigate the relationship between investors` sentiments, business credit, and stock returns. For this purpose, the data of 130 companies were collected monthly for the period 2013-2019 (10,920 months-companies). The results supported the view that credit risk has a negative relationship with future stock returns. In the same way, it was observed that the investors' sentiments in speculative stocks are were on average higher than the investment stocks. Also, the results of univariate analysis based on quantile regression showed that there was a negative relationship between credit rating and the investors' sentiments in all the quantiles. Crowdfunding has become a modern and favorite financing channel worldwide. Crowdfunding is a new financing method that helps entrepreneurs acquire the financial resources needed for their projects. This study aimed to investigate the factors affecting individuals' interest in participating and investing in crowdfunding projects. Using the Structural Equations Modeling (SEM) technique, the developed model was tested with the help of Amos software via the data obtained from 318 individuals. This paper examined the direct and indirect contextual variables: awareness of need, altruism, reputation, psychological benefits, efficacy, funder’s trust, and institution-based trust in the investment intention. Finally, it was observed that awareness of need, altruism, values, reputation, psychological benefits, efficacy, funder’s trust, and institution-based trust were the factors influencing people's intention to invest in crowdfunding projects.

Several empirical studies have tested the relationship between information asymmetry and the cost of equity capital and have reported conflicting results. Some studies evaluate this relationship as positive, some as negative, and some as insignificant. The discovery of divergence factors has an effective role in managing information asymmetry, the cost of equity capital, and shareholder wealth. In this study, this issue is followed by the meta-analysis approach. This meta-analysis was carried out in seven stages. For this meta-analysis, 36 studies published between 1986 and 2022 from journals with an H index at least equal to 1 of SCOPUS were used. The number of samples is 260 tests which were extracted from the mentioned studies. Using CME2 software, divergence test, and one-sample t-test with random effects approach in addition to testing 12 hypotheses, the robustness check of the results was tested based on 18 categories of analysis, of which 15 categories confirmed the robustness. The results showed that information asymmetry affects the cost of equity capital. All dimensions of information asymmetry affect the cost of equity capital, except analysts’ quality and income volatility. In addition, information asymmetry has a positive effect on all dimensions of the cost of equity capital.

Since the emergence of the concept of supply chain agility as the primary management asset for gaining a competitive edge in the dynamic and uncertain business environment, extensive studies have been conducted in this area. A significant portion of this studies has focused on the impact of supply chain agility on financial performance. Analysis of empirical studies reveals that the influence of a strategic asset like supply chain agility is varied across different studies, often yielding contradictory results. Therefore, it is imperative to aggregate and compare the findings of experimental studies using a meta-analysis approach. Consequently, the current research was undertaken to investigate the impact of supply chain agility on financial performance, employing a meta-analysis approach and examining the moderating role of industry type. In this study, 18 final studies were identified in accordance with the PRISMA protocol and their data was inputted into the CMA2 software. The results of the meta-analysis demonstrated that supply chain agility does indeed affect financial performance. Furthermore, the analysis of moderator variables revealed that supply chain agility has a more pronounced effect on financial performance in single industries.

Recognizing customers` requests and offering them personal investment suggestions is an essential aspect of a useful and effective consulting strategy. Many households trust financial advisors for investment guidance. Intelligent data analysis is one of the fields of artificial intelligence that solves the problem of learning automated systems without an explicit program. Financial companies have found that they need to adapt quickly to the environment and use automated systems to save money on the cost and accuracy of financial advice to investors. In recent years, a type of technology-based counseling has been introduced as an alternative to Robo Advisors. Robo Advisors is a financial advisor who can assist through machine learning algorithms to automatically analyze the financial product risk level and provide portfolio advice. Robo Advisors are digital platforms that offer algorithm-based and automated financial planning services such as investing. In this study, a systematic review of the empirical studies done on Robo Advisors is given and at the end, a proposed framework for designing Robo Advisors is presented.

The aim of this study was to explore the impact of corporate governance on the link between tax avoidance and managerial empire building. According to the theory of managers' personal considerations, managers may not always prioritize decisions that benefit shareholders, but rather focus on maximizing their own interests. The existing literature suggests that managerial aspirations for power can be heightened through corporate tax avoidance activities. Tax avoidance and corporate governance are identified as influential factors in the formation of managerial empires. To test the hypotheses, a sample of 119 companies listed on the Tehran Stock Exchange between 2015 and 2021 was selected. A multivariable regression model was employed in this study using the composite data method. The findings indicated that tax avoidance did not significantly contribute to the formation of managerial empires and corporate governance did not mediate the impact of tax avoidance on managerial empire building. Consequently, managers may refrain from tax avoidance and pursue alternative strategies for power acquisition in order to avoid negative perceptions. It is also noted that corporate governance guidelines were not fully implemented in the companies under study.