Blockchain technology spillowers on Iran`s stock market fluctuations

Document Type : RESEARCH PAPER

Authors

1 Ph. D of Economic Sciences, Department of Economics, Faculty of Management and Economics, University of Tabriz, Iran.

2 Professor of Economic Sciences, Department of Economics, Faculty of Management and Economics, University of Tabriz, Iran

3 Professor of Economic Sciences, Department of Economics, Faculty of Management and Economics, University of Tabriz, Iran.

Abstract

Determining the factors affecting stock market turmoil and risk with the development of capital asset pricing models has been considered by researchers. One of the variables that is closely related to financial markets is blockchain technology. Blockchain is a new technology in the field of secure computers. This technology can transform the digital world and, using distributed distribution features for each online transaction, execute transactions in such a way that assets can be identified in the future without compromising the privacy, security of assets and parties involved. It is done in the transaction. the present study investigates the blockchain technology overflow on the fluctuations of fluctuations of 84 selected companies in the stock market of the country during April 2011 to August 2021 using system generalized method of moments. The Iranian stock market has not been immune from the spillovers of this crisis. The results of the study show that market share, rate of return on assets have a positive effect on the spillower of fluctuations and blockchain technology, research and development have negative effects on spillover. All variables are statistically significant at the level of one percent confidence. Determining the factors affecting stock market turmoil and risk with the development of capital asset pricing models has been considered by researchers. One of the variables that is closely related to financial markets is blockchain technology. Blockchain is a new technology in the field of secure computers. This technology can transform the digital world and, using distributed distribution features for each online transaction, execute transactions in such a way that assets can be identified in the future without compromising the privacy, security of assets and parties involved. It is done in the transaction. the present study investigates the blockchain technology overflow on the fluctuations of fluctuations of 84 selected companies in the stock market of the country during April 2011 to August 2021 using system generalized method of moments. The Iranian stock market has not been immune from the spillovers of this crisis. The results of the study show that market share, rate of return on assets have a positive effect on the spillower of fluctuations and blockchain technology, research and development have negative effects on spillover. All variables are statistically significant at the level of one percent confidence.

Keywords

Main Subjects


Arellano, M & S. Bond. (1991). Some tests of specifications for panel data: Monte Carlo evidence and an application to employment equations, Rev Econ Stud, 58: 277-297.
Abuzayed, B., Elie, B., Nedal, A., Naji, J. (2021). Systemic risk spillover across global and country stock markets during the COVID-19 pandemic. Economic Analysis and Policy. 71 (2): 180- 197.
Abbas, Y., Martinetti, A., Moerman, J., Hamberg, T., Dongen, V., Leo, A. (2020). Do you have confidence in how your rolling stock has been maintained? A blockchain-led knowledge-sharing platform for building trust between stakeholders. International Journal of Information Management, 55: 1-12.
Ali,O., Ally, M., buck, C., Dwivedi Y. (2020). The state of play of blockchain technology in the financial services sector: A systematic literature review, International Journal of Information Management, 54: 1- 19.
Andersson K, Styf A (2020) Blockchain Technology and Volatility of Stock Returns: A Quantitative Study that Examines Blockchain Technology's Impact on Volatility in Swedish Stocks. Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Business Administration, Sweden.
Baltagi, B. (2008). Econometric analysis of panel data. 5th Edition, John Wiley & Sons Publication.
Beirne, J., Et al. (2008). Volatility Spillovers and Contagion from Mature to Emerging Stock Markets, International Monetary Fund(IMF), Working Paper, WP/08/286.
Diebold, F.X. and K. Yilmaz. 2012. Better to give than to receive: Predictive directional measurement of volatility spillover. International Journal offorecasting. (23): 57-66.
Elmi, Z., Abunuri, E., Rasekhi, S., Shahrazi, M. M. (2014). The effect of structural failures in volatility on momentum transfer and volatility spillover between gold and stock markets of Iran. Economic Modeling, 8 (2): 57- 73. (in Persian).
Greene, W. H. (2008). Econometric analysis. 6th Edition, New Jersey, Upper Saddle River: Pearson International.
Guandong, X., & Vo, N. (2017). The volatility of Bitcoin returns and its correlation to financial markets.International Conference on Behavioral, Economic, Socio-Cultural Computing (BESC),2018-, 1–6.
Hsu, C., Lee, H., Lien, D. (2020). Stock market uncertainty, volatility connectedness of financial institutions, and stock-bond return correlations. International Review of Economics and Finance, 70: 600- 621.
Hull, J.C. (2018). Risk Management and Financial Institutions. 5th edition. Hoboken, N.J: John Wiley & Sons. Huang, S.,  Liu, H. (2021). Impact of COVID-19 on stock price crash risk: Evidence from Chinese energy firms. Energy Economics, 101 (2): 1- 10.
Jorcano, L., Marco, L. (2021). Systemic-systematic risk in financial system: A dynamic ranking based on expectiles. International Review of Economics and Finance, 75 (3): 330- 365.
Liu, Z., Luu, T., Huynh, D., Dai, P. (2021). The impact of COVID-19 on the stock market crash risk in China. Research in International Business and Finance, 57 (2): 1- 10.
Koop, G., M. H. Pesaran and S. M. Potter (1996), Impulse Response Analysis in Non-Linear Multivariate Models‖. Journal of Econometrics, Vol.74, PP 119-147.
Markowitz.M.(1952).Portfolio Selection.The Journal of Finance,7(1), 77-99.
Murray, M. (2018, June 15). Blockchain explained. Reuters Graphics. [Online].http://graphics.reuters.com/TECHNOLOGY-BLOCKCHAIN/010070P11GN/index.html. [Retrieved 2020-05-02]. Nakamoto, S., Bitcoin: A peer-to-peer electronic cash system.2008.
Pesaran, M. H., &Y. Shin (1998), Generalized impulse response analysis in linear multivariate models. Economics Letters, Vol.58, pp. 17-29.
Su, X. (2020). Dynamic behaviors and contributing factors of volatility spillovers across G7 stock markets. North American Journal of Economicsand Finance, 53 (3): 1- 16.
Xu, M., Chen, X., & Kou, G. (2019). A systematic review of blockchain. Financial innovation.5 (1), 1-14.
Zhang, Y. J., Fan, Y., Tsai, H. T., & Wei, Y. M. (2008). Spillover effect ofUS dollar exchange rate on oil prices. Journal of Policy Modeling. 30(6), pp.973-991.