Calculation of financial condition index by principal component analysis method in Iran

Subject Areas : Financial Economics

Zahra Haeri Nasab ¹ ( Department of Economics, Razi University, Kermanshah, Iran )
Kiomars Sohaili ² ( Department of Economics, Faculty of Social Sciences, Razi University, Kermanshah, Iran )
Shahram Fattahi ³ ( Department of Economics, Razi University, Kermanshah, Iran. )

Received: 2023-12-12 Accepted : 2024-02-03 Published : 2024-03-20

Keywords: principal component analysis, Iran, G14, Keywords: Financial Condition Index, credite channel. Jel classification: G10,

Abstract :

Abstract In the last few years, the financial condition index has been an important indicator to determine the situation of each country. The Financial Conditions Index can be defined as the current state of the variables that affect the future state of the economy. The Financial Conditions Index is a summary index of financial variables that is effective in predicting the economic situation of a country. Financial conditions in any country are one of the most important issues in the economy. The purpose of this article is to determine and calculate the financial condition index for Iran using the basic component analysis method and time series data from 1990-2020. The results of calculating the financial condition index show that the credit channel has more weight than other channels and this shows the importance of the volume of credit in estimating the country's financial condition index during this period in the research. After that, the asset channel, ie the stock price index and the housing index, have the most weight. Among these, the exchange rate and interest rate channels have the lowest weight. Therefore, the central bank can adopt a forward-looking approach in monetary policy, so that by changing its retrospective approach in monetary policy decisions, it can show the most correct reaction.

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