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 ...

The exchange rate regime in Iran is practically fixed. The Central Bank of Iran (CBI) has committed itself to trying to bring about a particular exchange rate regime to meet two important targets: 1. Sustaining competitiveness of the economy, 2. Acquiring the share of foreign reserves in monetary base in a predetermined level. Since 2001 the share of foreign reserves in monetary base has i...

Résumé/Abstract: In this talk, we present three versions of maximum principle for a stochastic optimal control problem of Markov regime-switching forward-backward stochastic differential equations with jumps (FBSDEJs). A general sufficient maximum principle for optimal control for a system driven by a Markov regime-switching forward and backward jump-diffusion model is developed. After, an equi...

This paper is concerned with fast Fourier transform (FFT) approach to option valuation, where the underlying asset price is governed by a regime-switching geometric Brownian motion. An FFT method for the regime-switching model is developed first. Aiming at reducing computational complexity, a near-optimal FFT scheme is proposed when the modulating Markov chain has a large state space. To test t...

In this paper, two-state Markov switching models are proposed to study accident frequencies. These models assume that there are two unobserved states of roadway safety, and that roadway entities (roadway segments) can switch between these states over time. The states are distinct, in the sense that in the different states accident frequencies are generated by separate counting processes (by sep...

We propose a general class of Markov-switching-ARFIMA processes in order to combine strands of long memory and Markov-switching literature. Although the coverage of this class of models is broad, we show that these models can be easily estimated with the DLV algorithm proposed. This algorithm combines the Durbin-Levinson and Viterbi procedures. A Monte Carlo experiment reveals that the finite s...

A Markov switching position dependent random map is a random map of a finite number of measurable transformations where the probability of switching from one transformation to another is controlled by a position dependent irreducible stochastic matrix W . Existence of absolutely continuous invariant measures (acim) for a Markov switching position dependent random map was proved in [1] using spe...