List of Articles Investment Risk

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  1 - Using Data Mining Approaches to Predict and Answer the Needs of Venture Capital
  Farshid Ghasedi Ghazvini Farshad Faezi Razi Farzaneh Heydarpour
  Nowadays the economy of developed countries work based on small and medium enterprises and knowledge-base industries. Researchers experimental findings indicate financing of small and medium enterprises and start-ups with innovative activities have heterogeneity and spe More

  Nowadays the economy of developed countries work based on small and medium enterprises and knowledge-base industries. Researchers experimental findings indicate financing of small and medium enterprises and start-ups with innovative activities have heterogeneity and special characteristics to start a business. This heterogeneity and special characteristics of start-ups confront essential problems in financing for them.Hence, for solving this problem, usage and continuity of venture capital process is necessary in order to encouragement and financing of innovative activities. Beside, in this process, venture capital firms in confrontation by pillar of financial markets need to conformity with the market regulations and policies. On the other hand venture capital firms in face of entrepreneurs and innovators confront challenges by how and state of ventures selection based on recognition and assessment of their risks for success or fail prediction of investments. The purpose of this research is response to this investorschallenges that lead investors to make superior evaluation and decision making in their start-ups investments through identification of the effective criteria on venture capital investments and their risk assessment for making trade-offs between them through multi criteria decision making method by usage of data mining and artificial intelligence Manuscript profile
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  2 - Identifying and Prioritizing Investment Risks in Sports Projects
  Hossein Dalvand Mohammad Hasan Maleki Hossein Jahangirnia Mojgan Safa
  10.22034/amfa.2021.1918106.1536
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  3 - The Effect of Information Asymmetry on Investment Risk in Tehran Stock Exchange Companies
  Amir Geramiasl Sadegh Sarbazi azad Seyed Kazem Ebrahimi Ali Bahraminasab
  Risk taking is one of the most important factors in investment and analyzing the companies. Therefore investors concern about the factors which lead to greater investment risks. Information asymmetry is one of those important factors and has a deep connection with agenc More

  Risk taking is one of the most important factors in investment and analyzing the companies. Therefore investors concern about the factors which lead to greater investment risks. Information asymmetry is one of those important factors and has a deep connection with agency theory and investment management. It is believed that the information asymmetry leads to market inefficiency and eventually increases the investment risk. The purpose of this studies to evaluate the impact of information asymmetry on the investment risk in Tehran Stock Exchange companies. Eighty companies has been analyzed in a 4 year period. To measure information asymmetry, a gap between buy and sell orders has been measured. Panel data and generalized least squares (GLS) has been applied to assess the fit of the regression model. Results indicate that the information asymmetry has a significant and positive effect on the investment risk. Therefore, by increasing information asymmetry, investment risk increases; thus, investors should be aware of companies’ level of information asymmetry to decrease their investment risk Manuscript profile
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  4 - Analyzing the Asymmetric Effects of Exchange Rate Movements on an Investment Risk of the Banking Industry Activing in Tehran Stock Exchange Market
  Maryam Zarezadeh Mahrizi Samira Zarei
  This study seeks to analyze the effects of exchange rate movements on an investment risk of the banking industry by applying the idea of risk separation into two sorts of the period, the high and low risk. In line with this, the daily time series data, from 26th March 2 More

  This study seeks to analyze the effects of exchange rate movements on an investment risk of the banking industry by applying the idea of risk separation into two sorts of the period, the high and low risk. In line with this, the daily time series data, from 26th March 2011 to 19th February 2020, and a hybrid model of exponentially conditional heteroscedasticity and Markov- Switching approaches have been used. The results of this paper, based on the hybris MS-TGARCH model used in the investigations of (Bibi, 2019) and (Aloui and Jammazi, 2020), are statistically significant and prove the accuracy of the hybrid model in the case of Iran. Therefore, based on this finding, it could be possible to more precisely analyze the effects of different determinants on the modelled risk. Regarding this approach, the impacts of exchange rate movement on the investment risk of the banking industry are far more in the high-risk periods than those of low-risk ones. Manuscript profile