Effect of mobile teaching on students who need special education

The purpose of this study is to test the mobile application designed for the teaching purposes of students who need special education. Many mobile applications and software are available for teaching, thus this study will point the effect of using such technologies in teaching activities as an assistive method to the teacher. The tests are done using our previously designed mobile application that is designed to teach the basic concepts. As it is indicated in the design, the process starts with the testing of the basic abilities of the children, therefore, our tests include these kind of pretests and after that testing phases that will measure the effect of the application to learning. Students who need special education are the focus of the study. The tests are carried out in a special education centre, in Nicosia, Northern Cyprus on two students. Test results show that the mobile application developed in its current form, is a good tool to assist the teachers to enhance and speed up the learning process.

     

Privatisation and Stock Market Efficiency: The British Experience

We present evidence that with its emphasis on wide-share-ownership the British privatisation program created heavy involvement of small investors in privatised stocks. Using standard market efficiency tests and maximum likelihood estimates of stationary fractional ARIMA models, we show that the pricing of privatised stocks in the London Stock Exchange was indeed inefficient, unlike the rest of the market. Together, these two pieces of evidence suggest that small investors, behaving like noise-traders, may be generating this inefficiency. Yet, we cannot rule out alternative explanations.     

Tax-benefit systems and differences in aggregate labour force participation: Comparative evidence from the Czech Republic and Hungary

This paper investigates the extent to which cross-country differences in aggregate participation rates can be explained by differences in tax-benefit systems. We take the example of two countries, the Czech Republic and Hungary, which – despite a lot of similarities – differ markedly in labour force participation rates. Using comparable individual-level labour supply estimates, we simulate how the aggregate participation rate would change in one country if the other country’s tax and social welfare system were adopted. The estimation results for the two countries are quite similar, suggesting that individual preferences are essentially identical in the two countries. The simulation results show that about one-third of the difference in the participation rates of the 15–74 year-old population and more than two-thirds of the participation of the prime-age population can be explained by differences in the tax-benefit systems.     

An explanation for the price puzzle: Asymmetric information and expectation dynamics

Using theoretical and empirical analyses, this paper shows that the expectation dynamics induced by information asymmetry between the Central Bank (CB) and the public can cause the price puzzle. The signalling and learning dynamics between the CB and a representative private-sector agent under asymmetric information is investigated. Inflation positively reacts to contractionary monetary policy because the change in the interest rate is perceived as a signal of the CB’s private information about higher future inflation and output by the public. The empirical section of the paper validates this theoretical argument using a VAR specification about the US economy. Besides providing an explanation for the price puzzle, the results of this paper has practical implications about transparency and monetary policy. The theoretical and empirical findings indicate that asymmetric information causes significant frictions in the transmission mechanism of monetary policy. These frictions induce short-run undesired effects like increase in expected inflation and actual inflation as a response to contractionary monetary policy which is identified as “the price puzzle”.     

Can interest rate spreads stabilize the euro area?

Since the onset of the financial crisis significant interest rate spreads have arisen between euro area countries, both for public and private debt. We check whether these spreads could be made to work towards the goal of providing more stability to the euro area. In particular, we focus on reducing the imbalances that arose between the core and peripheral members of the euro area in the first decade of its existence. The idea is that stable positive spreads in peripheral countries could have decreased domestic demand, preventing the boom–bust cycles that plagued these economies. They could also prevent such developments in the future. We construct a panel model for euro area countries and estimate the relationship between real interest rates and the current account balance. Next, we use the estimated parameters to perform simulations. We find that spreads on real interest rates of 0.6–5.5 percentage points would have been necessary to stabilize external positions of the four peripheral euro area member countries.     

Modeling defaults of companies in multi-stage supply chain networks

The interest in supply chain networks and their analysis as complex systems is rapidly growing. The physical approach to the topic draws on the concept of heterogenous interacting agents. The interaction among agents is considered as a repeated process of orders and production. The dynamics of production in the supply chain network which we observe is nonlinear due to the random failures in processes of orders and production. We introduce an agent-based model of a supply chain network which represents in more detail the real economic environment in which firms operate. We focus on the influence of local processes on the global economic behavior of the system and study how the proposed modifications change the general properties of the model. We observe collective bankruptcies of firms, which lead to self-emerging network structures. Our results give insight into the dynamics of default processes in supply chain networks, which have important implications both for risk managers and policy makers. Based on the simulations we show that agent-based modeling is a powerful tool for optimization of supply chain networks.     

Estimating global bank network connectedness

We use LASSO methods to shrink, select, and estimate the high‐dimensional network linking the publicly traded subset of the world's top 150 banks, 2003–2014. We characterize static network connectedness using full‐sample estimation and dynamic network connectedness using rolling‐window estimation. Statically, we find that global bank equity connectedness has a strong geographic component, whereas country sovereign bond connectedness does not. Dynamically, we find that equity connectedness increases during crises, with clear peaks during the Great Financial Crisis and each wave of the subsequent European Debt Crisis, and with movements coming mostly from changes in cross‐country as opposed to within‐country bank linkages.     

Debt Literacy and Debt Literacy Self‐Assessment: The Case of Poland

It is well documented that financial literacy is at best moderate around the world and that the cost of ignorance in this field may be high on both microeconomic and macroeconomic levels. We surveyed a representative sample of Poles to measure their debt literacy—a little‐studied aspect of financial literacy—and therefore obtain insight into the factors predicting it. Our study evidenced low levels of debt literacy and its overestimation by respondents in their self‐reports. We also confirmed some of the patterns found in former studies, including the gender gap and a positive relationship between the level of educational attainment and debt literacy. Finally, our examination provides compelling outcomes with regard to the segmentation of the sample on the basis of objective and subjective debt literacy scores. They show large heterogeneity of debt literacy and thus confirm the need for far‐reaching customization of debt‐oriented education.     

Is there a diversification “cost” of Shari’ah compliance? Empirical evidence from Malaysian equities

Islamic equity portfolios work with a smaller investment universe given the filtering of non-Shari’ah compliant stocks. It has been theoretically argued that this culminates in suboptimal portfolio diversification, which in turn adversely affects risk-adjusted returns. We offer empirical evidence that such a conceived portfolio diversification “penalty” is far from a foregone conclusion, at least empirically. Our results tend to indicate that Islamic portfolios are not invariably handicapped in terms of portfolio diversification. We also explored dimensions that may account for differences in the relative investment performance between Islamic and conventional portfolios, such as portfolio constraints, short selling and market conditions. We believe this paper is among the first to apply substantial empirical analysis specifically with respect to the portfolio diversification perspective on Islamic equity investments.