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Baratpour, Mostafa, Emamvardi, Ghodratullah, Mahmoudzadeh, Mahmoud, Salatin, Parvaneh. (1402). Analyzing the Interaction Between Leading Stocks and Exchange Rate Shocks Using Network Analysis and VAR-GARCH: Evidence from the Tehran Stock Exchange. , 12(2), 585-619. doi: 10.22099/ijes.2025.52413.2005
Mostafa Baratpour; Ghodratullah Emamvardi; Mahmoud Mahmoudzadeh; Parvaneh Salatin. "Analyzing the Interaction Between Leading Stocks and Exchange Rate Shocks Using Network Analysis and VAR-GARCH: Evidence from the Tehran Stock Exchange". , 12, 2, 1402, 585-619. doi: 10.22099/ijes.2025.52413.2005
Baratpour, Mostafa, Emamvardi, Ghodratullah, Mahmoudzadeh, Mahmoud, Salatin, Parvaneh. (1402). 'Analyzing the Interaction Between Leading Stocks and Exchange Rate Shocks Using Network Analysis and VAR-GARCH: Evidence from the Tehran Stock Exchange', , 12(2), pp. 585-619. doi: 10.22099/ijes.2025.52413.2005
Baratpour, Mostafa, Emamvardi, Ghodratullah, Mahmoudzadeh, Mahmoud, Salatin, Parvaneh. Analyzing the Interaction Between Leading Stocks and Exchange Rate Shocks Using Network Analysis and VAR-GARCH: Evidence from the Tehran Stock Exchange. , 1402; 12(2): 585-619. doi: 10.22099/ijes.2025.52413.2005

Analyzing the Interaction Between Leading Stocks and Exchange Rate Shocks Using Network Analysis and VAR-GARCH: Evidence from the Tehran Stock Exchange

Iranian Journal of Economic Studies
دوره 12، شماره 2 - شماره پیاپی 24، اسفند 2023، صفحه 585-619    اصل مقاله (861.53 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22099/ijes.2025.52413.2005
نویسندگان
Mostafa Baratpour1؛ Ghodratullah Emamvardi* 2؛ Mahmoud Mahmoudzadeh1؛ Parvaneh Salatin1
1Department of Economics, Firuzkuh Branch, Islamic Azad University, Firuzkuh, Iran.
2Department of Economics, Tehran Central Branch, Islamic Azad University, Tehran, Iran.
چکیده
Identifying leading stocks is critical for investors, particularly in markets lacking comprehensive analytical tools. Effective stock selection necessitates an integrated approach that combines financial network analysis, performance evaluation, and predictive modeling. This study examines firm-level interconnections within the Tehran Stock Exchange, focusing on the implications of exchange rate shocks. A dual-phase analytical framework is applied: first, Minimum Spanning Tree network analysis identifies leading stocks and quantifies the effects of exchange rate fluctuations; second, VAR-GARCH models assess volatility dynamics of leading stocks, while the iterated cumulative sum of squares method detects structural breaks in market behavior. The dataset includes daily returns of 50 top-performing stocks and the free-market USD exchange rate across two periods: pre-shock (March 24, 2016–April 3, 2018) and post-shock (April 4, 2018–July 21, 2020). Pre-shock, Pars Khodro, Foulad, and Kegol dominated the market. Post-shock, export-driven sectors such as metals retained leadership due to competitive advantages, while import-dependent industries like automotive declined significantly. Later, stocks including Veghadir, Foulad, Sharak, and Tipico emerged as new leaders, reflecting structural realignments driven by currency volatility. The findings highlight the efficacy of network-driven methodologies in portfolio optimization and risk management, offering empirical clarity on sectoral dependencies and exchange rate sensitivities in emerging economies.
کلیدواژه‌ها
Exchange Rate Surge؛ Leading Stocks؛ Minimum Spanning Tree(MST)؛ VAR-GARCH
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تعداد مشاهده مقاله: 285
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