The Impact of Monetary Policy Shock on the Stock Price Bubble (TVP-VAR Model )

Document Type : RESEARCH PAPER

Authors

1 Department of Economics, Faculty of Economics, Allameh Tabataba'i University, Tehran, Iran

2 Department of Economics, Allameh Tabataba'i University, Tehran, Iran

Abstract

The emergence of the bubble phenomenon in financial markets and its possible collapse causes a kind of uncertainty, and causes capital to leave productive markets. Duo to these issues, policymakers seek to plan and implement appropriate policies to deal with the crisis and respond promptly and correctly in these situations to reduce or prevent the adverse effects are due to it. Considering that the Iranian stock market, like other financial markets in other countries, is not immune from this phenomenon, in this study by using the TVP-VAR model and extracting the impulse- response functions and using seasonal data of Iran for variables like interest rate, gross domestic product, gross domestic product deflator, consumer price index, total stock price index and dividend per share, in the period 1382: 1 to 1398: 3, the effect of the relative size of stock price bubble component on the effectiveness of monetary policy on the reduction or eliminating the stock price bubble component is simulated and the results show that when the size of the bubble component is small, compared to the fundamental component, the application of contractionary monetary policy can be effective in reducing the price bubble, but when the price bubble is large, This contractionary monetary policy causes a larger component of the price bubble and makes the situation worse. Furthermore The results show that some variables like interest rate, gross domestic product, gross domestic product deflator, dividend per share and fundamental component of price have had almost stable patterns, but the stock price response and its bubble component to the policy shock have not been stable over time and their negative response to the monetary policy shock, have been decreased over time and in recent years of sample, the stock price response and its bubble component, end up increasing from the first period.

Keywords


Abbasian, E., Nazari, M., & Farzanegan, E. (2012). The effect of monetary policy on the emergence of stock price bubbles in the Tehran Stock Exchange. Journal of Securities Exchange, 18(5), 19-38.
Asadi, E., Zare, H., Ebrahimi, M., & Piraiee, K. (2019). Price Bubbles in Tehran Stock Market: A Dynamic Stochastic General Equilibrium Model. Quarterly Journal of Applied Theories of Economics, 6(2), 73-100.
Ansari Samani, H. & Nazari, F. (2017). Identifying and ranking predictors of stock bubble: Application of Logistic regression and artificial neural network. Quarterly Journal of Quantitative Economics, 13(4), 75-102.
Bahmanpour, H. & Moshiri, S. (2011). Eghtesade Poul va Bankdari. Tehran: ‎ Nashreney.
Bjorland, H.c., & Leiteme, K. (2009). Identifying the interdependence between US monetary policy and stock market. Journal of monetary economics, 56, 275- 282.
Bredin, D. & G. O’Reilly. (2004). Analysis of the Transmission Mechanism of Monetary Policy in Ireland. Applied Economics, 36(1), 49-58.
Brunnermeier, M. K., & Oehmke, M. (2013). Bubbles, Financial Crises, and Systemic Risk, Handbook of the Economics of Finance, 2, 1221-1288.
Caraiani, P. & Cantemir Calin, A. (2019). The Impact of Monetary Policy Shocks on Stock Market Bubbles: International Evidence. Finance Research Letters, Elsevier, 34(c).
Cepni, O. & Gupta, R. (2020). Time-Varying Impact of Monetary Policy Shocks on U.S. Stock Returns: The Role of Investor Sentiment, University of Pretoria, Department of Economics Working Paper Series2020-39.
Challe, E. & Chryssi, G. (2014). Stock Price and monetary policy shocks: A general equilibrium. Journal of Economic Dynamic & Control, 40, 46-66.
Christiano, L. J., Eichenbaum, M. & Evans, C. (2005). Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy. Journal of Political Economy, 113 (1), 1–45.
Cochrane, John H. (2001). Asset Pricing. Princeton: Princeton University Press.
Colgey, T. & Sargent, T. j. (2003). Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S. SSRN Electronic Journal.
Del Negro, M., & Otrok, C. (2008). “Dynamic Factor Models with Time-Varying Parameters: Measuring changes in international business cycles”. University of Missouri Manuscript.
Dourandish, A., Shariat, E., & Arzande, N. (2014). The Study of Volatility Spillover Effects of The Exchange Rate on Agricultural Industry Index Listed on The Stock Exchange. Journal of Agricultural Economics and Development, 28(2), 177-184.
Eickmeier, S., Lemke, W., & Marcellino, M. (2011). “The Changing International Transmission of Financial Shocks: Evidence from a Classical Time-Varying FAVAR”, Deutsche Bundesbank, iscussion Paper Series 1: Economic Studies, No 05/2011.
Fischbacher, U., Hens, T. & Zeisberger, S. (2014). The Impact of Monetary Policy on Stock Market Bubbles and Trading Behavior: Evidence from the Lab. Journal of Economic Dynamics & Control, 37, 2014-2122.
Gali, J. & Gambetti, L. (2015). The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence. American Economic Journal: Macroeconomics, 7(1), 233 – 257.
Ghzanchyan, M. (2014). Unraveling the Monetary Policy Transmission Mechanism in Sri Lanka. IMF working paper, No.190.
Habibi, R., salehi rad, M., & zare pour, M. (2017). Bayesian Modeling Speculative Bubbles in Iran Stock Market. Journal of Risk modeling and Financial Engineering, 2(2), 225-241.
Jahangard, E., & Ali Asgari, S. (2011). Financial Development Effects on Monetary Policy Efficiency In Developed And Developing Countries. Journal of Economic Modeling Research, 1(4), 147-169.
Jahangiri, K., & Hoseini Ebrahimabad, S. (2017). The Study of Monetary Policy, Exchange Rate and Gold Effects on the Stock Market in Iran Using MS-VAR-EGARCH Model. Financial Research Journal, 19(3), 389-414.
Jalili, Z., Asari Arani A., Yavari K., & Heydari H. (2018). Evaluating the Monetary Policy Transmission Mechanism through the Stock Market in Iran Using the Structural Vector Auto Regressive (SVAR) Model. QJER, 17:(4), 173-195.
Koop, G., Leon-Gonzalez, R., & Strachan, R. (2009). “On the Evolution of the Monetary Policy Transmission Mechanism”, Journal of Economic Dynamics and Control, 33, 997-1017.
Korobilis, D. (2013). “Assessing the Transmission of Monetary Policy Shocks Using Time Varying Parameter Dynamic Factor Models”, Oxford Bulletin of Economics and Statistics, (75): 157-179.
Laopodis, Nikiforos T. (2013). Monetary policy and stock market dynamics: across monetary regimes. Journal of International Money and Finance, 33, 381-406.
Lubik, T. A., & Matthes, C. (2015). Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application. Economic Quarterly, 101(4), 323-352.
Mishkin, F. S. (1996). The Channels of Monetary Transmission: Lessons for monetary policy. Combridge: NBER working paper series.
Mukherjee, S. & Bhattacharya, R. (2011). Inflation Targeting and Monetary Mechanism in Emerging Market Economies, IMF working paper, No.229.
Nakajima, J., Munehisa, K. & Toshiaki, W. (2011). “Bayesian Analysis of Time Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy”. Journal of the Japanese and International Economies, 25, 3, 225-245.
Poddar, T., Sab, R. & Khachatryan, H. (2006). The Monetary Transmission Mechanism in Jordan. IMF working paper, No.48, February.
Primiceri, G. E. (2005). “Time Varying Structural Vector Autoregressions and Monetary Policy”, Review of Economic Studies, 72 (3): 821–52.
Rigbon, R. & Sock, B. (2004). The impact of monetary polcy on asset prices. Journal of monetary economics, 51, 1554- 1575.
Robert, C.; Casella, G. (2004). Monte Carlo Statistical Methods (2nd ed.), New York: Springer
Sharifi Renani, H. (2010). The Effects of Monetary Policy on Production and Prices in Iran: A Structural Vector Error Correction (SVEC) Approach. The Journal of Economic Policy, 2(3), 45-69.
Taghavi, M., & Lotfi, A. (2006). The Effects of Monetary Policy On The Volume Of Deposits, Lending Facilities And Liquidity Of The Country's Banking System (During The Years 1995-2003). Economics Research, 6(20), 131-165.
Taherianfar, M., & Minooi, M. (2016). Identification of financial bubbles using finite time singular GARCH model ("Case study of Tehran Stock Exchange"), 2nd International Conference on Industrial Engineering and Management, Tehran.
Toparlı, E. A., Çatık, A. N & Balcılara, M. (2019). The impact of oil prices on the stock returns in Turkey: A TVP-VAR approach. Physica A: Statistical Mechanics and its Applications, 535(c).
Zeinvand, A., Mohammadi, A., Ghaishavi, Q., & Abdollahi, F. (2018). The Effect of Monetary Policy and General Level of Prices On Bubble In Stock Prices Through The Asset Price Channel In Iran (1991-2014). Quarterly Journal of Quantitative Economics, 15(1), 1-26.