نتایج جستجو برای: مدل ardl garch
تعداد نتایج: 126188 فیلتر نتایج به سال:
یکی از ویژگی های کشورهای توسعه یافته، وجود بازارهای مالی کارآمد است که ضمن ایفای نقش مهم در اقتصاد این کشورها زمینه ساز رشد اقتصادی و توسعه این کشورها نیز هستند. در طول سالهای اخیر بازارهای مالی جهان همواره با نوسانات و نااطمینانی های قابل توجهی مواجه بوده اند. به نحوی که عدم اطمینان موجود در ارتباط با بازده دارایی های سرمایه گذاری شده، بسیاری از سرمایه گذاران و تحلیل گران مالی را نگران ساخته ا...
This study estimates the effects of Internet usage, financial development and trade openness on economic growth using annual time series data for South Africa for the period 1991-2013. Structural unit root test and Johansen and ARDL cointegration tests are performed to examine the long run relationship amongst Internet usage, financial development, trade openness and economic growth. Findings f...
Purpose — This study assesses the symmetric and asymmetric effects of exchange rate volatility on trade flows in Nigeria.Method The employs quarterly data covers period 1995q1 to 2020q4. were sourced from International Financial Statistics (IFS) Central Bank Nigeria (CBN) websites. paper applies both linear ARDL non-linear (NARDL) models. These methods are employed evaluate volatility.Result re...
ﯾﮑﯽ از ﻣﻬﻢﺗﺮﯾﻦ ﻣﻮﺿﻮﻋﺎت ﺑﺎزارﻫﺎی ﻣﺎﻟﯽ در دﻫﻪﻫﺎی اﺧﯿﺮ پیش بینی ﺑﻮده اﺳﺖ. ﻣﻬﻢﺗـﺮﯾﻦ ﻫـﺪف اﯾـﻦ ﺗﺤﻘﯿـﻖ، پیش بینی نوسانات قیمت آتی سکه طلا در بورس کالای ایران است. در این تحقیق اقدام به برآورد و پیشبینی چهار دسته مدلهای گارچ متقارن (GARCH) گارچ نمایی، FIGARCHو گارچ چند رژیمه با سه نوع توزیع نرمال، توزیع T و توزیع GED پرداخته شده است. بر اساس خطای مدل در پیش بینی نوسانات کاراترین مدل جهت پیش ب...
We propose a new model for volatility forecasting which combines the Generalized Dynamic Factor Model (GDFM) and the GARCH model. The GDFM, applied to a large number of series, captures the multivariate information and disentangles the common and the idiosyncratic part of each series of returns. In this financial analysis, both these components are modeled as a GARCH. We compare GDFM+GARCH and ...
The autoregressive conditional heteroskedasticity (ARCH) and generalized autoregressive conditional heteroskedasticity (GARCH) models take the dependency of the conditional second moments. The idea behind ARCH/GARCH model is quite intuitive. For ARCH models, past squared innovations describes the present squared volatility. For GARCH models, both squared innovations and the past squared volatil...
Nowadays many researchers use GARCH models to generate volatility forecasts. However, it is well known that volatility persistence, as indicated by the sum of the two parameters G1 and A1[1], in GARCH models is usually too high. Since volatility forecasts in GARCH models are based on these two parameters, this may lead to poor volatility forecasts. It has long been argued that this high persist...
This paper re-examines Dornbusch’s (1976) sticky-price monetary model to exchange rate determination by employing both conventional Johansen’s (1988, 1990, 1994) maximum likelihood cointegration test and the ARDL Bound test by Pesaran, Shin, and Smith (2001) for the monthly data of Taiwan over the period 1986:01∼2003:04. Ambiguous results are found for the long-run equilibrium relationship betw...
This study investigates the impact of energy consumption and financial development on economic growth using neo-classical production function in the case of US. The ARDL (Autoregressive distributed lag) bounds testing approach with additional variables (energy consumption and financial development) is used to investigate cointegration during the period of 1967-2012 in US. The ARDL reveals a coi...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید