Roudari, Soheil and Arabi, Seyed Hadi and Rahimi Kahkashi, Sanaz (2023): بررسی علیت و سرریز نوسانات بین نرخ ارز، تورم و نقدینگی در اقتصاد ایران: رویکرد TVP-VAR-BK. Published in: Iranian Journal of Economic Research , Vol. 28, No. 97 (18 August 2024): pp. 152-190.
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Abstract
Today, any fluctuation in one sector quickly transmits to other sectors of the economy. The aim of this study is to examine the transmission and reception of shocks, as well as the causal relationship of volatility spillovers, with attention to the time scale at which fluctuations occur among liquidity, the exchange rate, and inflation in Iran over the period 1982:03 to 2022:09 (1361:01–1401:07), using monthly data and a Time Varying Parameter Vector Autoregressive model with frequency domain spillover measures (TVP VAR BK). The findings indicate that most connections among the examined variables occur in the long run, with the exchange rate being the dominant factor in explaining volatility within the network. In the short run, liquidity acts as a net transmitter of volatility to inflation and the exchange rate, while in the medium and long run, the exchange rate becomes the net transmitter of volatility, and both inflation and liquidity serve as net receivers of exchange rate fluctuations. Moreover, the net impact of the exchange rate strengthens considerably in the long term. In practice, if exchange rate volatility is not controlled, it can transmit fluctuations to liquidity and, consequently, fuel inflationary instability—highlighting the critical role of exchange rate stability in managing liquidity and inflation dynamics.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | بررسی علیت و سرریز نوسانات بین نرخ ارز، تورم و نقدینگی در اقتصاد ایران: رویکرد TVP-VAR-BK |
| English Title: | Volatility Causality and Spillovers between Exchange Rate, Inflation, and Liquidity in the Iranian Economy: A TVP VAR BK Approach |
| Language: | Persian |
| Keywords: | Exchange rate, inflation, liquidity, TVP VAR BK model |
| Subjects: | G - Financial Economics > G0 - General > G01 - Financial Crises G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill |
| Item ID: | 127038 |
| Depositing User: | Dr Soheil Roudari |
| Date Deposited: | 28 Nov 2025 08:28 |
| Last Modified: | 28 Nov 2025 09:01 |
| References: | Alvarez F, Atkeson A, Kehhoe P J. 2000. Money, Interest Rates, and Exchange Rates with Endogenously Segmented Asset Markets. Working Paper 605, Federal Reserve Bank of Minneapolis. Asadi, M., Roubaud, D., & Tiwari, A. K. (2022). Volatility spillovers amid crude oil, natural gas, coal, stock, and currency markets in the US and China based on time and frequency domain connectedness. Energy Economics, 109, 105961. Baumol W.J. 1952. The Transactions Demand for Cash: An Inventory Theoreetic Approach. Quarterly Journal of Economics 66, 545 – 556. Dornbusch, R. 1976. Expectations and Exchange Rate Dynamics. Journal of Political Economy, 84, 1161 – 1176. George Kahn. 1987 Dollar depreciation and inflation, Federal Reserve Bank of Kansas City, Economic Review, 72(9). Grilli V, Roubini N. 1992. Liquidity and Exchange Rates. Journal of International Economics , 32, 339 – 352. Huang J, Chen B, Xu Y, Xia X. 2023. Time – frequency volatility transmission among energy commodities and financial markets during the COVID – 19 pandemic: A Novel TVP – VAR frequency connectedness approach. Journal of Finance Research Letters, 53. Liew, P. X., Lim, K. P., & Goh, K. L. 2022. The dynamics and determinants of liquidity connectedness across financial asset markets. International Review of Economics & Finance, 77, 341-358. Liow, K. H., Song, J., & Zhou, X. 2021. Volatility connectedness and market dependence across major financial markets in China economy. Quantitative Finance and Economics, 5(3), 397-420. Mensi, W, Hernandez, J, Yoon, S, Vo, X, Kang, S, 2021 .spillovers and connectedness between major precious metals and major currency markets: The role of frequency factor, International Review of financial Analysis, 74,101672. Ojede A, Lam E. 2018. The Impact of Changes in Monetary Aggregates on Exchange Rate Volatility in a Developing Country: Do Structural Breaks Matter?. Economics Letters 155, 111 _ 115. Pham, Th. 2018. Liquidity and Exchange Rate Volatility. Document de Travail, Working Paper halshs – 01708633. Tobin J. 1956. The Interest – Elasticity of Transactions Demand for Cash. Review of Economics and Statistics 38, 241 – 247. Williamson, J. 1994. Estimates of FEERs, In: Williamson, J. (ed) Estimating Equilibrium Exchange Rates, Washington DC.Institute for International Economics. |
| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/127038 |

