درخت حوزه‌های تخصصی

This study's goal is to evaluate the financial resilience of Bangladesh's ceramics industry using the Altman Z-Score model. The nation's economy heavily depends on the ceramics industry, which also creates jobs and contributes to industrial output. Rapid expansion in both home and international markets makes the financial stability of the sector essential to the stability of the economy as a whole. Using a quantitative methodology, this study examines information from the fiscal years 2020–21 annual reports of five listed ceramics companies. For the first time in this industry context, the Altman Z-Score model reveals a significant portion of companies falling into the "Distress" zone, indicating a heightened risk of financial challenges. The results have real-world ramifications for investors, legislators, and stakeholders. They can be used to improve financial plans and encourage the expansion of sustainable industries. By addressing a significant void in the assessment of financial resilience within Bangladesh's ceramics industry, the study adds to the body of literature.

This study examined the extent to which stock returns can be explained by fundamental financial information. To this end, the accuracy of predicting future stock returns under conditions of mispricing stocks, including underpriced and overpriced stocks, was evaluated. The empirical results are based on a sample of 140 companies listed on the Tehran Stock Exchange during 2006-2022. The applied methodology is based on multivariate regression analysis of panel data. In particular, the six-factor models of Fama-French (2018), Nichols-Wallen-Wyland (2017), and Rhodes croft-Robinson-Viswanathan (2005) have been calculated to investigate the extent of explaining future stock valuation and returns. The results show that most of the changes in the stock valuation of the investigated companies are explained by using fundamental financial factors. Specifically, the results indicate that undervalued companies have earned higher stock returns in the coming year compared to overvalued companies. In other words, in undervalued companies, the stock return has increased in the following year, and in overvalued companies, the future stock return has decreased. According to the provided results, investors and stock exchange regulatory bodies are advised to more sensitively examine companies that have a lower rating of incorrect stock valuation based on the models introduced in this research.

Burundi, like other countries, invests in agricultural research and development. The adoption of the most productive varieties is one of the ways of increasing agricultural yields. Rice, because of its high productivity, is among the cereals which occupy an important place in the food security strategy in Burundi. This study aims to identify the effect of the adoption of this variety on the productivity of rice farmers. Using random sampling technique was used to select the respondents to fill the questionnaires, data were collected from 524 rice farmers spread across the five villages, namely Buringa, Murira, Nyeshanga, Ninga and Bwiza of the Gihanga commune in Bubanza, Burundi. The analysis of the determinants and the quasi-experimental method based on propensity score matching was used in the estimation of the results of the effect of adoption of the rutete variety on the productivity of rice farmers and estimate the results. The study found that the average rice yields for adopted and non-adopted farmers were respectively 9754 and 9912 kg/ha. Also, if non-adopting farmers decide to adopt the variety, their counterfactual rice yield would be 7931 kg/ha for adopters and for non-adopters reached 7927 kg/ha. The average effect of the treatment on the rice yield of the adopters was 1823 kg/ha and significant (p<0.01). The decision to adopt for non-adopting rice farmers could increase the average yield by 1984 kg/ha. The results imply the positive role of the adoption of the rutete rice variety on the performance of rice farmers in Gihanga. It is recommended that the government and research institutions involved in the agricultural sustainable development support rice farmers by increasing agricultural research innovation with the aim of increasing the yield of crops.

This research sought to investigate the assumption that commodities operate as hedging and safe-haven for stocks -during various periods of stock market volatility. In this regard, market test regression models and daily data from 21/03/2009 to 19/03/2020 were used. The researcher was able to test both hypotheses of commodities as hedging and safe-haven simultaneously using these three models. According to the market test model results, "periods of relatively high and low volatility," gold coin futures contracts are viewed as a strong safe-haven for Changes in Tehran stock exchange returns, yet they lack the property of hedging. According to the results of the market test model “Low return periods," gold commodities and other petroleum products serve as safe-haven. Furthermore, “during times of crisis," commodities such as polymer, copper, and gold (cash and futures) had a consistent relationship with the stock market returns. They can be regarded as a strong safe haven for Changes in stock returns. Gold, in general, provided a safe-haven property for the stock index returns in all market test models, and it can serve as a stabilizing force for financial systems by reducing the casualties caused by extreme negative market shocks. The findings indicated that commodities can be used as risk management tools during economic and financial crises. Regarding hedging, the commodity market performed poorly compared to the stock market. Hedging does not always represent a safe haven for the stock market return, and vice versa.