Can Macroeconomic Factors Explain Equity Returns in the Long Run? The Case of Jordan

There is a growing literature on how macroeconomic variables can have effects on equity returns in both developed and emerging stock markets. We test for the long run relationship between some key macroeconomic indicators and equity returns in Jordan. Using both GETS methodology and the ARDL approach to cointegration, we find that the trade surplus, foreign exchange reserves, the money supply and oil prices are important macroeconomic variables which have long run effects on the Jordanian stock market. The results are broadly consistent with similar studies carried out for other emerging economies.Macroeconomic Factors, Equity Returns, Cointegration, Emerging Market, Jordan.

On the fractional derivatives at extrema points

We correct a recent result concerning the fractional derivative at extrema points. We then establish new results for the Caputo and Riemann-Liouville fractional derivatives at extrema points

Improving the Bank Account Opening Process Using Lean Six Sigma Methodology at Palestine Islamic Bank- Case Study

The purpose of this project is to improve the bank account opening process and save the time of opening a new bank account at Palestine Islamic Bank (PIB) by at least 20%, using Lean Six Sigma (LSS) methodology. To achieve this, the researcher used value tools of the LSS to gather data on the key measures for the account opening process in accordance with the DMAIC Methodology (Define, Measure, Analyze, Improve and Control), and the root causes for the extra-long time required to open a new bank account. The results showed that the implemented test at Al-Bireh branch has reduced the average time of opening a new bank account by 61.4%, i.e. from 38 minutes to 14.7 minutes, alongside reducing the customer’s waiting time at the Bank through eliminating some steps. In parallel, the researcher has developed a new standard for the bank account opening process with control charts to monitor the prospective key performance indicators. It is crucial to state that LSS methodology is a comprehensive framework, which includes specific improvement tools for achieving sustainable results in reducing the time rate in bank account opening process at PIB. In order to do so, it is recommended that the Bank should continue with the improvement actions, particularly by focusing on internal and external communication, practical trainings, periodic feedback and control activities

Bounds and critical parameters for a combustion problem

AbstractA model from combustion theory consisting of a nonlinear elliptic equation and boundary conditions of Dirichlet type, is considered. Upper and lower solutions for the problem are obtained by solving linear elliptic equations. These solutions are used to obtain analytical bounds for the extinction and ignition limits. Numerical results are presented for the slab, cylindrical and spherical geometries. Results compare very well with existing ones in the literature

Sharp inequalities for univalence of meromorphic functions in the punctured unit disk

A new class of meromorphic functions f that are univalent in the punctured unit disk U∗ = {z : 0 < |z| < 1} is introduced. This class is denoted by MU and consisting of functions f defined by |1 + f’(z)/f ²(z)| < 1 and zf(z) 6≠ 0, whenever z ∈ U = {z : |z| < 1}. For every n ≥ 2, sharp bound for the nth derivative of 1/(zf(z)) that implies univalency of f in U∗ is established. In particular, the best improvements for known univalence criteria are obtained. Distortion and growth estimates are investigated. Further, various sufficient coefficient conditions and a necessary coefficient condition for f to be in MU are derived and best radii of univalence are obtained for certain cases.Publisher's Versio

Translation- An Essential Bridge between Two Banks

Panel: At Language\u27s En

Optimal Design and Simulation of a Grid-Connected Photovoltaic (PV) Power System for an Electrical Department in University of Tripoli, Libya

This paper presents the optimal design and simulation of a grid-connected Photovoltaic (PV) system to supply electric power to meet the energy demand by Electrical Department in University of Tripoli Libya. Solar radiation is the key factor determining electricity produced by photovoltaic (PV) systems. This paper is designed to develop a novel method to calculate the solar photovoltaic generation capacity on the basis of Mean Global Solar Radiation data available for Tripoli Libya and finally develop a system design of possible plant capacity for the available roof area. MatLab/Simulink Programming tools and monthly average solar radiation data are used for this design and simulation. The specifications of equipments are provided based on the availability of the components in the market. Simulation results and analyses are presented to validate the proposed system configuration

Optimal Design and Simulation of a Grid-Connected Photovoltaic (PV) Power System for an Electrical Department in University of Tripoli, Libya

This paper presents the optimal design and simulation of a grid-connected Photovoltaic (PV) system to supply electric power to meet the energy demand by Electrical Department in University of Tripoli Libya. Solar radiation is the key factor determining electricity produced by photovoltaic (PV) systems. This paper is designed to develop a novel method to calculate the solar photovoltaic generation capacity on the basis of Mean Global Solar Radiation data available for Tripoli Libya and finally develop a system design of possible plant capacity for the available roof area. MatLab/Simulink Programming tools and monthly average solar radiation data are used for this design and simulation. The specifications of equipments are provided based on the availability of the components in the market. Simulation results and analyses are presented to validate the proposed system configuration

Optimal Design and Simulation of a Grid-Connected Photovoltaic (PV) Power System for an Electrical Department in University of Tripoli, Libya

This paper presents the optimal design and simulation of a grid-connected Photovoltaic (PV) system to supply electric power to meet the energy demand by Electrical Department in University of Tripoli Libya. Solar radiation is the key factor determining electricity produced by photovoltaic (PV) systems. This paper is designed to develop a novel method to calculate the solar photovoltaic generation capacity on the basis of Mean Global Solar Radiation data available for Tripoli Libya and finally develop a system design of possible plant capacity for the available roof area. MatLab/Simulink Programming tools and monthly average solar radiation data are used for this design and simulation. The specifications of equipments are provided based on the availability of the components in the market. Simulation results and analyses are presented to validate the proposed system configuration