|
Study of the impact of some factors determining the non-performing loans of the banking network from the public sector in sanction conditions: Application of Wavelet Transform and Markov Switching Models
|
Soheil Roudari   , Masoud Homayounifar * , Mostafa Salimi far |
| ferdowsi university of mashad , homayounifar@um.ac.ir |
|
|
Abstract: (2315 Views) |
The present study examines the determinants of non-performing loans from the public sector with emphasis on fluctuations in asset markets in the period 1397: 4-1384: 1. For this purpose, in order to extract the exchange rate and stock index fluctuations, the Daubechies discrete wavelet transform model has been used. Finally, the Markov switching model has been used to investigate the effect of research variables on non-performing loans from the public sectors.
The growth of the oil sector in the country has a negative and significant effect in the high regime and a positive and significant effect in the low regime. Improvement and growth of the service and industrial sectors in all levels and regimes of non-performing loans from the public sector has a negative and significant impact. Also, increasing the size of the government has a positive and significant effect if the non-performing loans from the public sector be in a high level and regime. In the case of sanctions, short-term exchange rate fluctuations, which are mainly due to exchange rate increases, can reduce non-performing loans from the public sector. Exchange rate fluctuations in the conditions of sanctions, if they continue, regardless of the regime and the level of non-performing loans from the public sector, will cause a significant increase in non-performing loans. Also, short-term stock index fluctuations reduce non-performing loans from the public sector in all regimes. the medium-term fluctuations of the stock index, it also reduces non-performing loans from the public sector when the non-performing loans are in the low level. If exchange rate fluctuations are not due to external factors such as sanctions in all periods of fluctuations and all levels of non-performing loans from the public sector, it can increases non-performing loans. |
|
| Keywords: Added Value of Economics Sectors, Business Cycles, Sanction, Markov Switching Model |
|
|
Full-Text [PDF 809 kb]
(794 Downloads)
|
|
Type of Study: Research |
Subject:
Special
|
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
|
roudari S, homayounifar M, salimi far M. Study of the impact of some factors determining the non-performing loans of the banking network from the public sector in sanction conditions: Application of Wavelet Transform and Markov Switching Models. qjerp 2021; 29 (97) :131-168 URL: http://qjerp.ir/article-1-2868-en.html
|
