OPEC
Reihaneh Larijani; Seyed Kamal Sadeghi; Zahra Karimi Takanlu; Reza Ranjpur
Abstract
This study has been used to investigate the effect of oil price fluctuations on the banking system and how it is related to the macroeconomics, using the quality of bank fragility introduced by Kibritçioglu (2003) and the selection auto regression method with the Markov switching model.Since fluctuating ...
Read More
This study has been used to investigate the effect of oil price fluctuations on the banking system and how it is related to the macroeconomics, using the quality of bank fragility introduced by Kibritçioglu (2003) and the selection auto regression method with the Markov switching model.Since fluctuating and unstable economic conditions have an impact on economic conditions and the banking system to detect the effect of oil prices, using the variables of fragility index and oil price, currency growth rate and GDP growth rate, the vector auto regression model with Markov switching (MSH(3)-VAR(1)) and seasonal data from 2004 to 2019 have been evaluated.The results show that the oil price shock in the stable regime causes a smaller change in the value of the fragility index compared to the other two regimes, and with the increase in GDP, it improves the economic conditions and the banking system. On the other hand, in the regime with moderate risk, the oil price fluctuation causes an increase in bank fragility, but due to the effect of the oil price shock on the increase in GDP and the decrease in the exchange rate, it has the ability to become a stable regime. While the occurrence of oil price shock in a high-risk regime causes economic conditions to worsen and its reciprocal effect on the banking system.
s
Leila Gholami Heidariani; Reza Ranjpour; Firoz Fallahi
Abstract
In this study, we investigate the relationship between stocks cycles and business cycles in Iran, using the spillover index approach of Diebold and Yilmaz (2012, 59). The dynamic interaction between financial cycles and business cycles is used by rolling window estimation and spillover plots. We use ...
Read More
In this study, we investigate the relationship between stocks cycles and business cycles in Iran, using the spillover index approach of Diebold and Yilmaz (2012, 59). The dynamic interaction between financial cycles and business cycles is used by rolling window estimation and spillover plots. We use data of GDP cycles as business cycle and also data of total stock price index, the stock price index in industry and the stock price index in finance based on quarterly data during 1998Q3-2018Q1. We have investigated the relationship between business cycle and stocks cycles along with exchange rate, oil incomes and liquidity. The results show that the total spillovers index increases in during periods of economic recessions. Also, the business cycle, oil cycle and exchange rate cycle are more impressionable market and the total stock, industry stock, finance cycle and liquidity cycle are more influential market than other markets.
