نتایج جستجو برای: Markov Switching Vector Auto Regression. JEL Classification: R31
تعداد نتایج: 1109318 فیلتر نتایج به سال:
The purpose of this study is to investigate the impact of exchange rate misalignment on inflation persistence. For this purpose, Vector Auto Regression method and Markov Switching model is used for quarterly data during 1989:4 -2014:3. The results show that, the impact of liquidity growth and exchange rate misalignment on inflation persistence is positive. On the other hand, GDP growth has a ne...
This paper investigates the asymmetric effects of monetary policy on economic growth over business cycles in Iran. Estimating the models using the Hamilton (1989) Markov-switching model and by employing the data for 1960-2012, the results well identify two regimes characterized as expansion and recession. Moreover, the results show that an expansionary monetary policy has a positive and statist...
In this study, we model the long-term and dynamic relationships between spot oil and exchange rates and gas prices by applying the Markov switching vector self-regression model in three regional gas markets in USA, Europe and Asia. Price behavior is analyzed using Bayesian estimation to take into account the transition from an existing relationship and the delayed and recurring effects of pric...
The Business Cycles of Urban Housing Market (Case Study: Urban Housing Market of Isfahan, 1980-2014)
H ousing is a commodity with unique features and its market, especially in urban areas, is characterized by unique business cycles that differentiate it from other commodities. On one hand, housing market can be deeply influenced by economic shocks, and on the other hand, the sheer size of housing investments makes the economy particularly vulnerable to any shock in this market. Henc...
In Markov-switching regression models, we use Kullback–Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously. Specifically, we derive a new information criterion, Markov switching criterion (MSC), which is an estimate of KL divergence. MSC imposes an appropriate penalty to mitigate the overretention of states in the Markov chai...
this paper, i have focused on the tax side of the fiscal policy to investigate the past and future behavior of fiscal sustainability in iran. to do so, i have employed two different forward-looking and backward-looking approaches. first, the backward-looking approach is the fiscal policy rule proposed by daving & leeper (2011). precisely, this rule determines that whether the fiscal policy is ...
In this study, for the first time, we model gasoline consumption behavior in Iran using the long-term memory model of the autoregressive fractionally integrated moving average and non-linear Markov-Switching regime change model. Initially, the long-term memory feature of the ARFIMA model is investigated using the data from 1927 to 2017. The results indicate that the time series studied has a lo...
In this paper, a version of the Vector Auto Regression (VAR) model has been used to investigate the interacted and dynamic effects between social capital and economic development in Iran during the period 1987-2006. To this purpose, variables of human capital, health and income distribution have been considered as the proxies of economic development. In addition, the volume of risky bank chequ...
according to the importance of careful review of crude oil market fluctuations on the iranian economy, in this paper a multivariate model of markov switching vector error correction model (have been used). variables such as real gross domestic product in industrial sector, real effective exchange rate, real governmental expenditure, real import, inflation rate and real crude oil price is used t...
We develop a multivariate generalization of the Markov–switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth– moment structure. An application to international stock markets illustrates the relevance of accounting for volatility regimes from both a statistical and economic perspective, including out–of–sample portfolio selection and computation of Value– ...
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