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Aryaeinezhad, Hossein, Naderian, Arash, Didehkhani, Hosein, Khozein, Ali. (1402). Evaluating the Effectiveness of GARCH models in the Estimation of Conditional Value at Risk in listed companies of the Tehran Stock Exchange: Accounting Data Approach. , 8(29), 239-249. doi: 10.30495/ijfma.2023.21140
Hossein Aryaeinezhad; Arash Naderian; Hosein Didehkhani; Ali Khozein. "Evaluating the Effectiveness of GARCH models in the Estimation of Conditional Value at Risk in listed companies of the Tehran Stock Exchange: Accounting Data Approach". , 8, 29, 1402, 239-249. doi: 10.30495/ijfma.2023.21140
Aryaeinezhad, Hossein, Naderian, Arash, Didehkhani, Hosein, Khozein, Ali. (1402). 'Evaluating the Effectiveness of GARCH models in the Estimation of Conditional Value at Risk in listed companies of the Tehran Stock Exchange: Accounting Data Approach', , 8(29), pp. 239-249. doi: 10.30495/ijfma.2023.21140
Aryaeinezhad, Hossein, Naderian, Arash, Didehkhani, Hosein, Khozein, Ali. Evaluating the Effectiveness of GARCH models in the Estimation of Conditional Value at Risk in listed companies of the Tehran Stock Exchange: Accounting Data Approach. , 1402; 8(29): 239-249. doi: 10.30495/ijfma.2023.21140

Evaluating the Effectiveness of GARCH models in the Estimation of Conditional Value at Risk in listed companies of the Tehran Stock Exchange: Accounting Data Approach

International Journal of Finance & Managerial Accounting
دوره 8، شماره 29، تیر 2023، صفحه 239-249  XML اصل مقاله (422.76 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30495/ijfma.2023.21140
نویسندگان
Hossein Aryaeinezhad email 1؛ Arash Naderianorcid 2؛ Hosein Didehkhani3؛ Ali Khozeinorcid 4
1PhD Student, Department of Accounting, Islamic Azad University, Aliabad Katoul Branch, Aliabad Katoul, Iran
2Assistant professor, Department of Accounting, Aliabad Katoul branch, Islamic Azad University, Aliabad Katoul, Iran
3Assistant Professor, Department of Financial Engineering , Aliabad Katoul Branch, Islamic Azad University, Aliabad katul , Iran
4Assistant Professor of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
چکیده
Predictions are extremely important for a better decision-making. Uncertainty in decision making makes investors always seek to assess and estimate risk to minimize potential losses. Conditional risk value (CvaR) is considered as a comprehensive measure of risk that has been considered a useful tool in recent years. Due to the characteristics of capital market data, not all models will be able to make accurate predictions, and among the multitude of models, only the models which make predictions can correctly explain this market.
In this study, according to the existing theoretical foundations and using Delphi model and analysis and review of experts, first the accounting variables in the financial statements are effective in predicting the conditional risk value, then the data of accepted companies are used. In Tehran Stock Exchange during 2012-2018, we evaluated the capability of GARCH and Markov index models in predicting conditional risk value as a criterion for predicting coherent risk. The results showed that the estimates made with the GARCH model (1, 1) are closer to reality with the distribution of T-Student.
کلیدواژه‌ها
Accounting Data؛ Coherent risk؛ conditional risk value؛ Markov switching؛ Garch
مراجع
  • Abu Nouri Ismail, Abdollahi Mohammad Reza (2011), Modeling the fluctuations of different segments of the Iranian stock market using the multivariate Garch model, Journal of Financial Research, Volume 14, Number 1, spring and summer 2012, pp. 1-16.
  • Ahmad Pourkasgari, Ahmad and Reza Gholami Jamkarani (2005), The relationship between accounting information and systematic risk, Journal of Social Sciences and Humanities, Shiraz University, No. 2, Volume 22, pp. 18-30.
  • Alizadeh Ali, Mirfeiz Fallah (2021), The assessment of extreme value theory and Copula - Garch models in prediction of value at risk and the expected short fall in portfolio Investment Company in Tehran stock exchange, 12, 46, 1400, 340-364.
  • Peykarjoo, Kambiz and Badrieh Hosseinpour (2010), "Measuring value at risk in insurance companies using the GARCH model", Insurance Industry Quarterly, Volume 25, Number 4, pp. 33-58.
  • Hanifi, Farhad (2001), "Assessing the level of risk-taking of companies listed on the Tehran Stock Exchange through risk assessment", PhD Thesis in Business Management, Islamic Azad University, Science and Research Branch
  • Khalili Iraqi, Maryam and Amir Yekeh Zare (2010), "Tehran Stock Exchange Risk Estimation Based on Value at Risk (VaR)", Journal of Financial Studies, No. 7, pp. 47-72.
  • Khiabani, Nasser and Maryam Saroughi (2011), Evaluation of VaR Estimation Based on ARCH Family Models (Case Study for Tehran Stock Exchange), Iranian Journal of Economic Research, Volume 16, Number 47, pp. 53-73.
  • Simple, Ehsan; Ehtesham Rathi, Reza and Shodiaei Narmighi, Ali (2017), Neural Fuzzy Model Combining Genetic Algorithm to Predict Stock Prices in the Automotive Industry on the Tehran Stock Exchange, Journal of Financial Engineering and Securities Management, No. 33, pp. 110-115.
  • Raei, Reza and Saeedi Ali (2009), Fundamentals of Financial Engineering and Risk Management, Samat Publications, Tehran.
  • Raei, Reza and Ahmad Telangi (2004), Advanced Investment Management, Samat Publications, Tehran.
  • Shapoor, Rai Reza, Feyzabad, Arash (2008), "Calculation of value at parametric risk using conditional variance heterogeneity models in Tehran Stock Exchange", Financial Research, Volume 10, Number 25, Spring and Summer 2008, pp. 109-124
  • Shahiki Tash, Esmaeil Azazi and Gholami Birgh (2013), "Calculation of Valuable Value in the Tehran Stock Exchange, Economic Development Research, summer 2013, No. 10, pp. 51-70
  • Shahriar Behnam, Ahmadi Seyed Mohammad Mehdi, (2006), "Determining the optimal amount of investment in the Tehran Stock Exchange with a risk-value approach", Quarterly Journal of Accounting and Auditing Reviews, Volume 14, Number 3
  • Shahrabadi, Neda (2010) Investment Management in Tehran Stock Exchange, First Edition, Tehran, Stock Exchange Organization, Information and Exchange Services
  • Roodpashti, Fereydoun and Mirghafari Guide, Seyed Reza (2013), "Evaluation of Portfolio Performance in Tehran Stock Exchange; Application of Value at Risk". Financial Engineering and Securities Management, No. 8, pp. 51-78
  • Fallahpour, Saeed and Yarahmadi, Mehdi (2012), "Estimating value at risk using limit value theory in Tehran Stock Exchange", Financial Engineering and Management of Winter Securities, Volume 4, Number 13, pp. 103-122 .
  • Gechun Liangand Xingchun Wang(2021), " Pricing vulnerable options in a hybrid credit risk model driven by Heston–Nandi GARCH processes", springer, Published: 10 , pp. 1-30.
  • Abdo Tabrizi, Hossein, Radpour, Meysam (2009), "Measuring and managing market risk", Agah Publications and Pishro Publications, Tehran.
  • Alipour, Shirin; Azizzadeh, Fatemeh and Manteghi, Khosrow (1397), Modeling Financial Returns Using the Normal-Garch Time Variable Markov Combined Model, Financial Knowledge of Securities Analysis, Volume 11, Number 37, Spring 1397, pp. 102-91.
  • Keshavarz Haddad, Gholamreza and Baqer Samadi (2009), Estimation and forecast of return volatility in Tehran stock market and comparison of accuracy of methods in estimating risk value; Application of FIGARCH Family Models, Journal of Economic Research, No. 86, pp. 193-235.
  • Gol Arzi, Gholam Hossein; Zarei, Azimullah and Delavari Marghzar, Leila (2013), "Feasibility Study of Using the Risk Value Model in the Stock Exchange (Case Study; Metal Ore Industry)", Financial Engineering and Securities Management, spring, No. 14, pp. 49-76.
  • Mohammadi, Shapur; Raei, Reza and Arash Feizabad (2008), "Calculation of value at parametric risk using conditional variance heterogeneity models in Tehran Stock Exchange", Journal of Financial Research, Volume 10, Number 25, pp. 109-124.
  • Nademi, Younes; Abu Nouri, Esmail and Elmi, Zahra (2015), Presenting a Warning Pattern Before Severe Fluctuations in Tehran Stock Market: Markov Switching Approach, Financial Knowledge of Securities Analysis, Volume 8, Number 28, Winter 2015, pp: 40-27 .
  • Nasrallah, Zahra; Shahviri, Mina and Mojtaba Amiri (2010), Comparison of the Generalized Conditional Heterogeneous Variance Autoregression Model and Monte Carlo Simulation for Estimating Value at Currency Portfolio Risk, Quarterly Journal of Economic Research, Volume 10, Number 3, pp. 117 -141.
  • Nazifi Naeini, Minoo; Fattahi, Shahram; Samadi, Saeed (2012), Modeling and Predicting Stock Market Fluctuations Using Garch Markov Transition Model, Economic Modeling Research, Volume 3, Number 9 - pp. 117-141.
  • Namazi, Mohammad and Shokrollah Khajavi (2004), the usefulness of accounting variables in predicting the systematic risk of companies listed on the Tehran Stock Exchange, Accounting and Auditing Reviews, No. 38, pp. 93-119.
  • Niko Eqbal, Ali Akbar, Gandali Alikhani, Nadia, Naderi, Ismail (1393). Evaluation of static and dynamic artificial neural network models in stock price forecasting. Financial Knowledge of Securities Analysis, 7 (No. 2 (22 consecutive)), pp. 77-91.
  • Noroush, Iraj and Abbas Vafadar (1999), Investigating the usefulness of accounting information in assessing the market risk of companies in Iran, Accountant, Fourteenth Year, No. 135, pp. 16-2
  • Xiaolei Sun,Chang Liua and JunWang (2020), Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach, Elsevier, Volume 68
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