Presenting a model of determinants of venture investment using the Soccer League Competition Algorithm (SLCA)

الموضوعات :

Nahid Naeemi ¹ , Ramin Zeraatgari ² , Gholamreza Rezaei ³

1 - PhD Student, Department of Accounting, Zahedan Branch, Islamic Azad University, Zahedan, Iran
2 - Department of Accounting, Sistan and Baluchestan University, Zahedan, Iran
3 - Department of Accounting, Sistan and Baluchestan University, Zahedan, Iran

تاريخ الإرسال : 07 الخميس , شعبان, 1443 تاريخ التأكيد : 07 السبت , صفر, 1444 تاريخ الإصدار : 07 الخميس , جمادى الأولى, 1444

الکلمات المفتاحية: Tehran Stock Exchange, Predictive Model, Venture investments, Soccer League Competition Algorithm,

ملخص المقالة :

The present study aimed to investigate the determinants of venture investment in companies listed on the Tehran Stock Exchange using the Soccer League Competition Algorithm. The present study is applied in terms of aim and descriptive-correlational in terms of method and nature. The financial data of 100 companies listed on the Iran Stock Exchange for 5 years from 2014 to 2019 were selected as a sample and were analyzed using Excel, Eviews, and Matlab software. First, the determinants of venture investment in the Tehran Stock Exchange (investment volume, rate of export, company tax, disclosure index, rule of law index, diversification of the industry, diversification of the stages of the company's life cycle, type of ownership, number of sectors and subsidiary companies, company investment, company size, and company age) were identified. By using the Soccer League Competition Algorithm, a predictive model was created to determine the investment risk based on the extracted indicators. Then, the accuracy of this model in terms of predicting the riskiness of the investment was compared with the simulated annealing algorithm, the NN neural network, and the SOM neural network.

المصادر:

• Abdolhaipour MS. (2018). Passing through the banking system. Donya-e Eqtesad Newspaper. 12-13. https://donya-e-eqtesad.com/


• Sajjadi SM. & Esmail Hafezi M. (2014). Investigation of strategies for providing venture investment as a stimulus for the prosperity of the business ecosystem. The first international humanities conference with a vernacular-Islamic approach and emphasizing new studies.


• Asgharian E. & Sakhdari K. & Khodayi H. (2016). Venture Investment Industry (Investment Process and Evaluation Tool). National Venture Investment Conference.


• Peter Groh A. & Wallmeroth J. (2016). Determinants of venture capital investments in emerging markets. Emerging Markets Review, 29(1): 104-132.


• Shams Sh. & Makouee B. (2014). The role of venture investment in financing entrepreneurial businesses. National Conference on Entrepreneurship and Sustainable Development.


• Karim M. (2019). Determinants of Venture Capital Investments: A panel data analysis across regions in the United Kingdom. Bachelor Thesis Within, Economics Number of Credits, 15 Programme of Study, International Economics, Bachelor Thesis in Economics.


• Askari Masooleh S. & Afshar M. (2015). Investigation of the feasibility of the venture investment industry in Iran: opportunities, challenges and pathologies. The first international conference on new paradigms of business and organizational intelligence management.


• Alinejad A. & Azar A. & Poorzarandi ME. (2019). Designing a prediction model and evaluating the innovation capacity of knowledge-based companies with the adaptive neural fuzzy inference (ANFIS) approach. Public Management Research, 13(47): 55-84.


• Ghazanfari H. & Khodadad Hosseini SH. & Kord Naeej A. (2018). Corporate venture investment model in IT companies. Strategic Management Thought (Management Thought), 13(1): 255-293.


• Dehghani Eshrat Abad M. & Albadavi A. (2017), valuation of start-up businesses by venture investors using real options approach in the first round of financing


• Talebi M. & Tavalaei RA. & Mortezania H. (2017). Modeling the structural relationships of the main factors of risk assessment of venture investment in the resistance economy using the interpretive-structural modeling (ISM) approach. Basij Strategic Studies, 20(77): 113-140.‎


• Ekhlasi A. & Ansari-Chaharsooghi SA. (2017). providing a brand strategic venture investment model for venture investment companies operating in the field of e-commerce (based on data-based theory). Business Journal, 86(1): 1-25.


• Hegeman PD. & Sørheim R. (2021). Why do they do it? Corporate venture capital investments in cleantech startups. Journal of Cleaner Production, 294(1): 126315-126324.


• Nguyen G. & VO V. (2021), Asset liquidity and venture capital investment. Journal of Corporate Finance, 69(1): 101963-73.


• Shuwaikh F. & Dubocage E. (2021). Access to the Corporate Investors' Complementary Resources: A Leverage for Innovation in Biotech Venture Capital-Backed Companies. Technological Forecasting and Social Change, 121374-86.


• Berger M. & Hottenrott H. (2021). Start-up subsidies and the sources of venture capital. Journal of Business Venturing Insights, 16(1): e00272.


• Cheng C. & Hua Y. & Tan D. (2019), spatial dynamics and determinants of sustainable finance: Evidence from venture capital investment in China. Journal of Cleaner Production, 232(1): 1148-1157.


• Hain D. & Johan S. & Wang D. (2018), Determinants of Cross-Border Venture Capital Investments in Emerging and Developed Economies: The Effects of Relational and Institutional Trust. Journal of Business Ethics, 138(4): 743-764.


• Razavi J. & Sharifi R. & Arabi SM. & Pirsaheb E. (2017). Presenting a development strategy model of venture investments in the field of ICT. The second international conference and the fourth conference National studies of management and humanities in Iran.


• Bonini S. & Alkan S. (2017). The Macro and Political Determinants of Venture Capital Investments around the World. 16th November 201