درخت حوزه‌های تخصصی

The literature on Foreign Direct Investment (FDI) has advanced several explanations of the links between financial market developments and FDI inflows across developing as well as developed countries. Empirical literature show that financial market development reduces informational frictions and improves resource allocation more efficiently. Also, financial systems are important for both productivity and development, where a better developed financial systems can receive more benefit from FDI and its inflows depend on condition of host country and their characteristics. The paper tries to examine and compare the relationship between foreign direct investment and local financial market development across oil exporting and importing emerging market economies by using VAR panel model during 1970-2014. The results show that there is a relationship between financial market development and FDI and financial development indicators are causality for FDI, particularly banking system indicators. Moreover, banking system is more important and efficient in oil importing countries than oil exporting countries to attract FDI from abroad. JEL Classification: F21, P45, O16, G1.

Increasing economy’s resistance against the menace of sanctions, various risks, shocks, and internal and external threats are one of the main national policies which can be implemented through bank investments. Investment project selection is a complex and multi-criteria decision-making process that is influenced by multiple and often some conflicting objectives. This paper studies portfolio investment decisions in Iranian Banks. The main contribution of this paper is the creation of a project portfolio selection model that facilitates how Iranian banks would make investment decisions on proposed projects to satisfy bank profit maximization and risk minimization, while focus on national policies such as Resistance Economy Policies. The considered problem is formulated as a multi-objective integer programming model. A framework called Multi-Objective Electromagnetism-like (MOEM) algorithm, is developed to solve this NP-hard problem. To further enhance MOEM, a local search heuristic based on simulated annealing is incorporated in the algorithm. In order to demonstrate the efficiency and reliability of the proposed algorithm, a number of test are performed. The MOEM results are compared with two well-known multi-objective genetic algorithms in the literature, i.e. Non-dominated Sorting Genetic Algorithm (NSGA-II) and Strength Pareto Evolutionary Algorithm (SPEA-II) based on some comparison metrics. Also, these algorithms are compared with an integer linear programming formulation for small instances. Computational experiments indicate the superiority of the MOEM over existing algorithms.

In this paper we utilize the main findings from the recent literature to set the economic foundation for the existence of money, its modern interpretation as “memory” (Chokerlakota 1998) and how the Blockchain technology has empowered crypto currencies to perform this role in the information age. To locate the issue in a historical perspective and in line with this strand of thought, we consider direct and indirect exchange and the Wicksell triangle and discuss the frictions under which the need for fiat money arises. More specifically, it will be argued when “reputation” (trust) is imperfect, high cost of enforcing contracts undermines the case for pure private money (credit). The corner stones of the present system, a remnant of 20th century central banks’ fiat money and “private money” issued by the banking system and the current payment system relies primarily on the technologies and centralized “trust” protocols developed before the early 1990s. The internet and the digital technology have greatly reduced the costs of gathering and storing information and thus is able to compete with the traditional payment system in the future in the niche markets. In this connection, how the Blockchain technology can complement internet technology for creation of crypto currency for payments, money transfers and asset purchases will be discussed. Finally, the paper examines whether crypto currencies can replace money in its current form. It will be shown that in the case of crypto currencies, high price volatility undermines the store of value function of money and this factor plus issues pertaining to money laundering and taxation prevents them to become a widespread form of money, though they will be used as a medium of exchange in the niche markets.

New monetary literatures widely concentrates on the importance of institutional arrangements in the effectiveness of monetary policy. The debate regarding the optimal institutional design of central banks, independence and conservatism are usually considered to be the most important ingredients for a stable and successful monetary policy. Therefore, the purpose of this study is to deal with the institutional arrangements of monetary policy especially Central Bank Independence (CBI) and Central Bank Conservatism (CBC). Indices used by Grilli et al. (1991), Cukierman (1992), Mathew (2006) and Dumiter (2009) were applied to calculate the CBI during 1961-2016, and CBC in Iran using a dynamic optimal solution under commitment in Barro-Gordon and New-Keynesian forward looking Philips Curve models. Results show that the relative concern on inflation is smaller than that on output gap for the central bank of Iran. Also results regarding the calculations of CBI based on different indices reveals the fact of insufficient independence of central bank in Iran. JEL Classification: C57, E42, E58