The dynamic Effects of speculation sectors returns on beta-herding behavior in Tehran Stock Exchange

Document Type : Original Article

Authors

1 Ph.D. student in Economics, Department of Economics, Semnan University

2 Professor in Economics, Department of Economics, Semnan University

Abstract

For the first time, this research investigat the relationship between speculative sector on herding behavior in the Tehran Stock Exchange market by using the (TVP-FAVAR) model and seasonal data from the years (1388- 1) to (1400-4). The results confirm the existence of herding behavior in the in the stock market and it shows the negative effects of the speculative sector impulse responses on the beta-herding behavior. n addition, the effects of impulse responses of other main variables of the model on the behavior of investors were as follows: the effect of beta herding behavior on itself was almost zero that means this variable was not affected by itself, the effects of GDP in the first three periods were neutral and Then in the year 1400, it became slightly positive, the inflation variable with a two-season delay had insignificant positive effects, and then in the following seasons, mainly in the seventh seasonhas been strongly negative, the total stock return variable was almost positive, and finally, the stock liquidity variable had negative effects on the beta herding behavior variable.

Keywords


Akbari, J., Bakhtiari, S., Sameti, M., & Ranjbar, h. (2018). The Effect of Oil Shocks on the Relationship between Income - Government Expenditure in Iran and Challenges of Management and Impulse Control. Modiriat-e-Farda Journal, 17, 31-44. (In Persian)
Akkoç, U., Akçağlayan, A., & Kargın Akkoç, G. (2021). The impacts of oil price shocks in Turkey: sectoral evidence from the FAVAR approach. Economic Change and Restructuring, 54, 1147-1171.
Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2019). Cryptocurrency market contagion: Market uncertainty, market complexity, and dynamic portfolios. Journal of International Financial Markets, Institutions and Money, 61, 37-51.
Babajani, J., Ebadi, J., & Moradi, N. (2015). Herding Behaviour in Mutual Fund Industry, Evidence from Tehran Stock Exchange. Journal of Empirical Studies in Financial Accounting, 12(47), 47-71. (In Persian)
Barkhordari, S., & Froughi Far, M. (2020). The Dynamic Regional Effects of Monetary Policy on Employment in Iran (TVP-FAVAR Approach). Quarterly Juornal of Applied Theories of Economics, 6(4), 109-136. (In Persian)
Bekaert, G. R., Hodrick, J., & Zhang. X. (2012). Aggregate idiosyncratic volatility. Journal of Financial and Quantitative Analysis, 47, 1155–1185.
Bernanke, B. S., Boivin, J., & Eliasz, P. (2005). Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach. The Quarterly journal of economics, 120(1), 387-422.
Cai, F., Han, S., Li, D., & Li, Y. (2018). Institutional herding and its price impact: evidence from the corporate bond market. Journal of Financial Economics, 131, 139-167.
Chashti, M., Lotfalipour, MR., Behname, M., & Enrahimi Salari, T. (2019). Evaluating the Impacts of Balance of Payments Variables Shock on Selected Macroeconomic Variables Using FAVAR. Journal of Economic Modeling Research - Kharazmi University, (37), 69-104. (In Persian)
Christou, C., Gupta, R., & Nyakabawo, W. (2019). Time-varying impact of uncertainty shocks on the US housing market. Economics Letters, 180, 15-20.
Demirer, R., Gabauer, D., Gupta, R., & Ji, Q. (2021). Monetary policy and speculative spillovers in financial markets. Research in International Business and Finance, 56, 101373.
Devenow, A., & Welch, I. (1996). Rational herding in financial economics. European economic review, 40(3-5), 603-615.
Erdogan, H. H. (2021). Beta herding in the COVID-19 era: Evidence from Borsa Istanbul. Business and Economics Research Journal, 12(2), 359-368.
Ezzati-Shourgoli A., & Khodavaisi, H. (2021). An Estimation of the Exchange Rate Pass-Through to Domestic Prices in The Iranian Economy: An Application of the Time-Varying Parameter Models. Quarterly Journal of Economic Research, 21 (1), 29-62. (In Persian)
Farahani, M., Marzban, H., Dehghan, Z., & Akbarian, R. (2018). The Theory of Measuring Effects of Interest rate shock on the Macro factors in Iran: A Factor-Augmented Vector Autoregressive, Approach. Quarterly Journal of Applied Economics Studiesin Iran, 7(25), 29-54. (In Persian)
Fu, B., & Wang, B. (2020). The transition of China's monetary policy regime: Before and after the four trillion RMB stimulus. Economic Modelling, 89, 273-303.
He, F., Ma, F., Wang, Z., & Yang, B. (2021). Asymmetric volatility spillover between oil-importing and oil-exporting countries' economic policy uncertainty and China's energy sector. International Review of Financial Analysis, 75, 101739.
Heydari, H. (2018). Constructing a Factor Augmented VAR Model to Analyze Transmission of Oil and Monetary Shocks to Iranian Economy. Journal of Economic Modeling Research - Kharazmi University, (34), 71-106. (In Persian)
Heydari, M., & Abdoli, G. (2021). Investigating the Collective Behavior of Investors in the Tehran Stock Market Using the Trading Volume. Economic Research, 55(4), 813-830. (In Persian)
Heydari, Z., & Davoodi, P. (2021). Investigating the Effect of Banks' Speculative Behavior on the Stock Price Index during the Period (1392-1398). Journal of Iran's Economic Essays; an Islamic approach, 18(36), 1-15. (In Persian)
Heydari, Z., Davoodi, P., & Samsami, H. (2022). Investigating the effect of banks' speculative behavior on housing prices in urban areas of Tehran during the period (1392-1398). The Quarterly Journal of Economic Strategy, 11(42), 1-24. (In Persian)
Hrdlicka, C. (2022). Trading Volume and Time Varying Betas. Review of Finance, 26, 79–116.
Hwang, S., & Salmon, M. (2004). Market stress and herding. Journal of Empirical Finance, 11, 585–616.
Hwang, S., Rubesam, A., & Salmon, M. (2021). Beta herding through overconfidence: A behavioral explanation of the low-beta anomaly. Journal of International Money and Finance, 111, 102318.
Hwang, S., & Salmon, M. (2007). Sentiment and Beta Herding. https://www.researchgate.net/publication/228953705.
Jackson, L. E., Owyang, M. T., & Zubairy, S. (2018). Debt and stabilization policy: Evidence from a Euro Area FAVAR. Journal of Economic Dynamics and Control, 93, 67-91.
Khalili Araghi, M., Farzinvash, A., & Sadri, H. (2019). The Impacts of Financial Development on Growth: TVP-FAVAR Model. The Economic Research (Sustainable Growth and Development), 19(3), 31-59. (In Persian)
Khezri, M., Kazemnaziri, M., & Gharloghi, S. (2021). An Experimental Study on the Effects of ICT Developmental Policies on Iran’s Economic Growth. Quarterly Journal of the Macro and Strategic Policies, 8(4), 692-715. (In Persian)
Khezri, M., Sahabi, B., Yavari, K., & Heydari, H. (2015). Speculation Effects on Inflation in Iran Economy: TVP-FAVAR Model. Economics Research, 15(57), 193-228. (In Persian)
Khodaparast Shirazi, J. (2017). Metamorphosis of Monetary Transmission Over Time: DSGE and FAVAR Approach. Quantitative Economics, 14(1), 143-172. (In Persian)
Koop, G., & Korobilis, D. (2014). A new index of financial conditions. European Economic Review, 71, 101–116.
Leu, S. C. Y., & Robertson, M. L. (2021). Mortgage credit volumes and monetary policy after the Great Recession. Economic Modelling, 94, 483-500.
Lima, E. C. R., Martinez, T. S., & Cerqueira, V. S. (2018). Monetary policy and exchange rate: Effects on disaggregated prices in a Favar model for Brazil. Brazilian Review of Econometrics, 38(1), 129-174.
Liu, J., Stambaugh, R. F., & Yuan, Y. (2018). Absolving beta of volatility’s effects. Journal of Financial Economics, 128(1), 1-15.
Lutz, C. (2015). The impact of conventional and unconventional monetary policy on investor sentiment. Journal of Banking & Finance, 61, 89-105.
Luvsannyam, D., & Batmunkh, K. (2019). A Factor Augmented Vector Autoregressive (FAVAR) approach for Monetary Policy: Replication of the empirical results in Measuring the effects of Monetary Policy. Journal of Applied Econometrics, 34, 820-821.
Mosavijahromi, Y., Mehrara, M., & Totonchi, S. (2020). Evaluating the Most Important Factors Effecting Direct Taxes in Iranian Economy with TVP-DMA and TVP-FAVAR Models Approach. Quarterly Journal of Applied Economics Studiesin Iran, 11(34), 39-75. (In Persian)
Mozaffari, M. (2011). Examination of Herding Behavior of Investment Company in Tehran Stock Exchange. Financial Knowledge of Securities Analysis, (15), 69-81. (In Persian)
Nelson, L., & Stear, E. (1976). The simultaneous on-line estimation of parameters and states in linear systems. IEEE Transactions on Automatic Control, 21, 94 -98.
Pourzamani, Z. (2012). Appraising the Herding Behavior on Institutional Investors with Christie and Huang Model in Tehran Stock Exchange. Investment knowledge - Iranian Financial Engineering Association, 1(3), 147-160. (In Persian)
Raimundo Junior, G. D. S., Klotzle, M. C., Pinto, A. C. F., & Luis Leite, A. (2020). Political risk, fear, and herding on the Brazilian stock exchange. Applied Economics Letters, 27(9), 759-763.
Razavi, M., Izadkhasti, H., & Dastjerdi, V. (2020). Identifying the Factors Affecting the Tax Rate on Vacant Houses in the Iranian Economy: Interpretive Structural Modeling Approach. Urban Economics, 5(8),1-18. (In Persian)
Sadeghi, S.K., Beheshti, M.B., Ranjpour, R., & Ebrahimi, S. (2017). Fiscal Policies and Income Distribution in Iran: FAVAR Approach. Quarterly Journal of Economic Modeling, 39(3), 75-98. (In Persian)
Saeedi, A., & Farhanian, M. J. (2012). To Study the Investor Herd Behavior in Tehran Stock Exchange. Journal of Securities Exchange, 4(16), 175-198. (In Persian)
Serati, M., & Venegoni, A. (2019). The cross-country impact of ECB policies: Asymmetries in–Asymmetries out?, Journal of international money and finance, 90, 118-141.
Shams, S.F., & Esfandiari Moghadam, A.T. (2018). The Relationship of Behavioral Herding with the Performance and Characteristics in Investment Companies of Tehran Stock Exchange. The Financial Accounting and Auditing Researches, 10(38), 47-66. (In Persian)
Sharifi, S.M.R., Haghighat, A., Ebrahim, M., & Aminifard, A. (2018). The Relationship between Underground Economy and Financial Dewlopment in the TVP-FAVAR Framework: Evidence from Iran’s Economy. Journal of Financial Econoics, 13(46), 41-71. (In Persian)
Simsek, A. (2021). The Macroeconomics of Financial Speculation. Annual Review of Economics, 13, 335-369.
Tsionas, E.  G., & Philippas, N. (2013). Revisiting herding behavior: likelihood evidence (February 10, 2013). Available at SSRN Electronic Journal, https://ssrn.com/abstract=2214580-  DOI:10.2139/ssrn.2214580 February 2013.
Wang, J., Wu, K., Pan, J., & Jiang, Y. (2023). Disagreement, speculation, and the idiosyncratic volatility. Journal of Empirical Finance, 72, 232-250.
Wu, Z., Tai, T., & Chong, L. (2019). Price rigidity in China: Empirical results at home and abroad. China Economic Review, 55, 218-235
Zanjirdar, M., & khojasteh, S. (2017). The Impact of Investors’ herding Behavior on the Stock Returns Using Huang and Solomon Model. Quarterly Journal of Fiscal and Economic Policies, 4(15), 115-134. (In Persian)