شناسایی چرخۀ بازارهای مالی و ارتباط آن با نوسانات نرخ ارز در ایران

نوع مقاله : علمی

نویسندگان

1 دانشجوی اقتصاد، دانشکده اقتصاد و مدیریت، دانشگاه سیستان و بلوچستان، زاهدان، ایران

2 دانشیار دانشکده اقتصاد دانشگاه سیستان و بلوچستان، زاهدان، ایران

3 دانشیار اقتصاد پژوهشگاه علوم انسانی و مطالعات فرهنگی

چکیده

در این مقاله، چرخۀ­ بازارهای مالی در اقتصاد ایران بررسی شده و با استفاده از مشاهدات فصلی طی دوره زمانی 1385 تا 1396، چرخه­ مالی ایران استخراج شده است. بدین منظور، از مدل سری­های زمانی ساختاری با مولفه­های غیر قابل مشاهده و الگوریتم فیلترکالمن استفاده شده و با به کارگیری روش حداکثر راستنمایی، پارامترهای نامعلوم برآورد شده است. جنبه جدید رویکرد مورد استفاده این است که نرخ ارز به عنوان متغیر تاثیرگذار بر چرخه­های مالی مورد بررسی قرار گرفته و برای این منظور متغیر نوسانات نرخ ارز توسط روش ناهمسانی واریانس خود رگرسیونی استخراج و در مدل وارد شده است. نتایج بررسی نشان می­دهد که اولاً، شاخص مورد نظر در بازارهای مالی طی دوره مطالعه دارای نوسانات زیادی بوده و طولانی شدن و تعمیق دوره­های رونق و رکود در این چرخه­ها یکی از علل بحران مالی است. ثانیاً، چرخه مالی حاصل از نرمال­سازی مولفه چرخه­ای بازارهای مالی نشان­دهنده نوسانات متعدد در سالهای مورد مطالعه است. ثالثاً، الگوی خودرگرسیونی برداری نشان­دهنده رابطه علیت گرنجری از سمت نوسانات نرخ ارز به سمت چرخه مالی وجود دارد که بیانگر اینست که نوسانات نرخ ارز منجر به بی­ثباتی در چرخه مالی می­شود.

کلیدواژه‌ها


عنوان مقاله [English]

Identification of Financial Market Cycles and Its Relation with Exchange Rate Fluctuations in Iran

نویسندگان [English]

  • Nafise Keshtgar 1
  • Mosayeb Pahlavani 2
  • Seyed Hoseyn Mirjalili 3
1 Phd student, Faculty of Economics and Management, University of Sistan and Baluchestan, Zahedan< Iran
2 Associate Prof. of Economics, University of Sistan and Baluchestan, Zahedan, Iran
3 Associate Prof. of Economics, Institute of Humanities and Cultural Studies
چکیده [English]

In this paper, the financial market cycles in Iran's economy has been investigated and using the seasonal observations during the period of 1385 to 1396, the financial cycle of Iran has been extracted. For this purpose, the structural time series models with invisible components and the Kalman filter algorithm are used, and the unknown parameters are estimated using the maximum likelihood method. The new aspect of the approach is that the exchange rate has been studied as an effective variable on the financial cycles, and for this purpose, the variable of exchange rate fluctuations is extracted by the TGARCH method and is introduced in the model. The results of the study show that, firstly, the index in financial markets during the study period has many fluctuations and the prolongation and deepening of the periods of boom and recession in these cycles is one of the causes of financial crisis. Secondly, the financial cycle resulting from the normalization of the financial market cycle of the model estimates the fluctuations in the years studied. Third, the vector autoregressive model shows the relationship between the granger causality of the exchange rate fluctuations towards the financial cycle, which suggests that exchange rate fluctuations lead to instability in the financial cycle.

کلیدواژه‌ها [English]

  • Financial Markets
  • Financial Cycle
  • Exchange Rate Instability
  • Garch Models
  • Iranian Economy
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