استخراج شاخص شرایط مالی برای ایران

نویسندگان
صدیقه عطرکارروشن
مطهره سادات محبوبی
دانشگاه الزهرا
10.18869/acadpub.jemr.6.24.147
چکیده
در سالهای اخیر"شاخص‌شرایط مالی"(FCI) دربسیاری از کشورها به عنوان یک شاخص مهم جهت مشخص‌کردن وضعیت سیاست پولی مورد استفاده قرارگرفته است. با توجه به اهمیت موضوع، هدف از این تحقیق استخراج شاخص جامعی است، که در بردارنده کلیه مکانیسم های مهم انتقال پولی باشد.

به این منظور، و برای استخراج FCI ، ابتدا با تخمین توابع عرضه کل و تقاضای کل گذشته نگر، وزنهای متغیرها ، بدست آمد. سپس، میانگین وزنی این متغیرهای موثر در انتقال پولی شامل نرخ ارز، نرخ سود بانکی، حجم اعتبارات، شاخص قیمت سهام و شاخص قیمت مسکن محاسبه شد. در مرحله بعد، با توجه به اهمیت ثبات قیمت‌ها برای بانک مرکزی و به منظور آزمون اعتبار شاخص بدست آمده با استفاده از آزمون های غیرآشیانه ای و ریشه میانگین مربعات خطا، به بررسی قدرت پیش بینی شاخص فوق از نرخ تورم، پرداخته شد.داده های پژوهش بصورت فصلی و دوره مورد مطالعه سالهای1370 -1391 می‌باشد.

یافته‌های تحقیق حاکی از آن است که در طول دوره مورد مطالعه ، متغیرقیمت مسکن (متغیرقیمت دارایی ها) در شاخص موردنظر از وزن بالاتری نسبت به سایرمتغیرها برخوردار بوده است در حالیکه اثر ضریب شاخص سهام در هیچ یک از وقفه‌های خود بر روی شکاف تولید ملی با اهمیت نبوده است. یافته‌های تحقیق همچنین حاکی از آنست که شاخص مورد نظر دارای قدرت پیش بینی تورم در اقتصاد ایران می باشد.
کلیدواژه‌ها
شاخص شرایط مالی
عرضه کل و تقاضای کل عقب‌نگر
تورم
آزمونهای غیر آشیانه ایی
آزمون ریشـه میـانگین مربعـات خطـا

عنوان مقاله English

Financial Condition Index (FCI) Extraction for Iran

چکیده English

In recent years “Financial Conditions Index" (herein FCI) has been used as a key indicator of the monetary policy condition. Considering the importance of this index, the purpose of the present research is to reach a comprehensive index that includes all the monetary transmission mechanisms based on the Iranian economy. To this aim, a weighted average of the banking interest, real exchange rates , credits and price of other assets (namely the stock price index, and housing price index ), need to be calculated. The weighted average of the variables are obtained by estimating the, backward-looking aggregate supply and demand equations for Iran. In the next stage, in order to test the validity of the obtained index, and because of the importance of price stability for the central bank, the predictive power of the index from inflation in Iran was examined using Non-Nested Tests and Root Mean Square Error (RMSE). Seasonal data series are collected for the period of 1991-2012.The findings of this study show that the weight of housing price variable is higher than the other variables, whilst, the stock price index coefficient was not significant in any lag. Moreover, the results of second stage tests, indicate a good predicative power of the FCI index from the inflation in Iran.

کلیدواژه‌ها English

Financial Conditions Index
Backward- Looking Aggregate Supply and Demand
Inflation
RMSE
Non-Nested Test
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تحقیقات مدلسازی اقتصادی
دوره 7، شماره 24 - شماره پیاپی 24
تابستان 1395
صفحه 147-173