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Open access

Cristian Păuna

Abstract

Automated trading software is a significant part of the business intelligence system in a modern investment company today. The buy and sell orders are built and sent almost instantly by computers using special trading and computational strategies. The trading decisions are made by automated algorithms. In this paper it will be presented one of these mathematical models which generate trading signals based only on the time price series. The algorithm combines several known computing techniques to build a trading indicator to automate the trades. With this method, buy decisions on oversold intervals and sell decisions on overbought price values can be built. Limit conditions in order to close the long and short trades can be also automatically generated. More trading signal types based on this model will be revealed. Trading results obtained with all these signals will be presented in order to qualify this methodology developed especially for algorithmic trading.

Open access

Abdul Mansoor, Quratulain Shoukat, Shagufta Bibi, Khushbakht Iqbal, Romana Saeed and Khalid Zaman

Abstract

The objective of the study is to examine the relationship between money supply, price level and economic growth in the context of Pakistan by using Autoregressive Distributed Lag (ARDL) model, covered a period of 1980 to 2016. The results confirm the long-run relationship between the variables while using broad money supply as a response variable. However, in the price and income modeling, the variables do not support the cointegration relationship between the variables. The causality results confirmed the unidirectional relationship running from income to money supply, which implies that income do causes money supply in the short run, whereas money supply leads to inflation to support Monetarist view of inflation in a country. The results conclude that economic growth is imperative to stabilize money supply and price level through sound economic policies in a country.

Open access

Avi Ketko and Maria Viorica Bedrule-Grigoruță

Abstract

Professional literature deals extensively with commitment (management and personal commitment), trust between partners and transparency as critical success factors in collaboration in general and in collaboration among public entities in particular. The State of Israel and the Municipality of Tel Aviv owned seven joint subsidiaries with different holdings in each of the companies. The Israeli government made a decision to sell the State's shares in these companies to the Tel Aviv Municipality. In 2016, a long process, of over eight years of negotiations, between the parties on a commercial basis, came to an end. The purpose of this article is to demonstrate how the implementation of principles of commitment, trust and transparency in practice led to the successful conclusion of the process. The research method was qualitative research, using semi-structured interviews, in the process where involved 12 people.

Open access

Martin Dahl

Abstract

Western Germany introduced the model of a Social Market Economy after World War II. This model has become an example of socio-economic reforms for many European countries. In the initial phase of the development of the new socio-economic policy concept, the postulate of "prosperity for all" was especially appealing as it considers economic policy and social policy as a whole. In subsequent years of development, particularly at the end of the twentieth century, the model of a Social Market Economy has become a source of foundation for creating new concepts and ideas that would include more aspects of responsible and sustainable development combined with proper care for resources and the natural environment. In the view of this, the aim of this paper is to attempt to answer the question of to what extent the Social Market Economy model can lay the foundation for sustainable, responsible and ecological development. In order to be able to answer such a research question, the author based his reasoning and analyses on the theory of ordoliberalism and the following research methods: factual analysis, comparative analysis and analysis of selected publications. The main findings of the research are that the concept of Social Market Economy contains numerous elements that can foster the implementation of the sustainable, responsible and ecological development of countries and societies.

Open access

Zaheer Allam

Abstract

As the Blockchain technology is gaining momentum in popular culture through Cryptocurrencies, its full implication and application to businesses, on a concrete and factual level, is still seen to be in its infancy stage. While the technology provides numerous advantages regarding stability, trust, speed and others, the robustness of the technology is not widely disseminated. This is further coupled by the common notion of resistance to change in business management processes. This paper explores the concept of Smart Contracts through the blockchain technology and its relevance to the business sector and further outlines the advantages and limitations of its applicability as of date.

Open access

Marzena Sylwia Kruk

Abstract

Contemporary discourse on the international and national level of individual countries concerning the dilemma of sustainable development and the future of societies pays particular attention to the phenomenon of migration in Europe. The article aims to identify social factors, especially migration processes, affecting sustainable development in Europe and Poland. Synchronization of economic, social and environmental capital is to prevent the creation of one-line development plans. In addition, it is intended to eliminate potential conflicts related to uneven development. The starting point for the considerations is the definition proposed by I. Sachs "Sustainable development is a process by which it is possible to harmonize the exploitation of all natural resources, direct investment and technical and institutional changes, as well as meet the current and future needs of people according to the production and assimilation capacity of ecosystems" (Sachs, 2000) [Own translation from Polish].Specific questions and research problems arise What impact do contemporary migration processes have on sustainable development? Is sustainable development possible in a situation of growing social disproportions? How do economic migrants affect sustainable development? Foreign students, (migrants), as the capital building large urban centers.

Open access

R. Jen-peng Huang, Genesis Sembiring Depari, Sri Vandayuli Riorini and Pai-Chou Wang

Abstract

This paper identified the relevance of several publication’s characteristics of each publication in reaching more people through organic strategy using Support Vector Machines. Before finding the relevance of several inputs, 10 potential models were examined. Based on the results of 10 models examination, we found that Comments, Likes and Shares have smallest error. However, those variables represent the customer engagements, instead of reaching more people. In the other side, Lifetime total organic reach is the best model compares to other models, therefore lifetime total organic reach was selected as a model. Furthermore, page total likes were found as the most relevance input in reaching more people through organic reach. The next most relevance inputs were followed by Type, month, day and hour of publication. Eventually, we come up with a managerial implication on how to publish a post in order to reach more people through organic reach.

Open access

Abdullah Saeed and Shayem Saleh

Abstract

This paper aims to examine the financial depth and efficiency and economic growth nexus in the context of Saudi Arabia and Oman. In particular, this paper addresses on how financial depth and efficiency relate to economic growth and the causal relation between financial depth and efficiency and the economic growth in Saudi Arabia and Oman. Methodological wise, this study employs a panel data of Saudi Arabia and Oman over the period of 1990 - 2015 and uses the determination of line of best to analyze the causal relations. The empirical results show that financial deepening have desirable effects on the economic growth in Oman, while increasing financial depth and efficiency has detrimental impact to economic growth of Saudi Arabia. Based on these empirical facts, we conclude that the financial deepening in Saudi Arabia is not an economic prioritized strategy, but financial deepening is an economic prioritized strategy in Oman. Two main policy implications are reached.

Open access

Dopé M. Adjor and Léleng Kebalo

Abstract

Is corruption, the main source of unemployment in the SADC countries? Do the effects of corruption outweigh those of income inequalities, human capital and government revenues in explaining the unemployment rate within the SADC area? Through these questions, the objective of our paper is to propose targeted policies that can enable decision-makers to reduce the unemployment rate within the SADC area. Through a panel vector autoregressive model, our empirical investigation on a sample of nine (09) SADC countries reveals that the education level and income inequalities contribute the most to explain the total unemployment rate. However, for the youth unemployment, corruption is the main factor followed by the level of education. To reduce total unemployment in the area, SADC countries need to reduce income inequalities and the mismatch between education and the labour market needs and/or countries’ development programs. For the youth unemployment, the reduction of corruption to all its forms should be the priority of political and economic decisionmakers.

Open access

R. Vedapradha and Hariharan Ravi

Abstract

Banks are automating their processes, migrating their infrastructure and applications to the cloud to create a seamless customer journey. Transformative technology has enabled banks and financial institutions to automate their operations based on advanced data-driven. Banks are adopting AI based anti-money-laundering, anti-fraud, compliance, credit-underwriting and smart contracts technology in their operations. These applications have been embraced by the investment banks as regulatory framework are failing to combat conventional way in combating against money laundering. Artificial Intelligence will focus on cognitive application in functional areas of business along with investment and compliance sectors of financial services industry. Adopting AI based anti-money-laundering, anti-fraud, compliance, credit-underwriting and smart contracts technology in their operations.