This study attempts to analyze the efficiency of intervention policy in Turkey during the period between 4.1.2005 and 31.12.2012 with a sub period which is between 4.1.2007 and 31.12.2010. For our study purpose, therefore we investigated how interventions with pre-announced auctions as a whole influence the exchange rates. Further, we analyze whether there is an asymmetric effect among the buying and selling transactions with respect to their impact on the exchange rates. In the study, the E-GARCH model is employed to find the asymmetric effect. The final object of this study is whether buying auctions which are conducted to serve for only purpose of increasing international reserves influence the exchange rates. We evaluate the efficiency of transactions in the same direction of central bank statements. In conclusion, the findings did not amount to any significant impact of total transaction on exchange rates. The study findings also suggest that there is asymmetric effect among the selling and buying transactions. The amounts of selling transaction have a negative impact on both level and volatility while buying auctions did not have any significant effect on them. As a new research result, we found that buying auctions served well with respect to their contributions to reserves while they do not...

No description available.

The thesis discusses the problem of the current situation of the USD and it's possible replacement by the basket of currencies.

The purpose of this study was to identify, describe, and examine the aspirations of Goessel stakeholders for USD 411 and their community using an appreciative inquiry research perspective and the theoretical frameworks of social capital. The data revealed seven aspirations. (1) The Community of Goessel stakeholders and USD 411 stakeholders aspire to a unique and independent identity for USD 411. (2) The Community of Goessel stakeholders and USD 411 stakeholders aspire to maintain a unique and independent school system with high academic standards. (3) The Community of Goessel stakeholders and USD 411 stakeholders shared their aspirations to maintain their high degree of quality of life and sense of safety that they perceive to exist in the community. (4) The Community of Goessel stakeholders and USD 411 stakeholders aspire to maintain a positive relationship between USD 411 and the churches within the community. (5) The Community of Goessel stakeholders and USD 411 stakeholders aspire to embrace diversity. (6) The Community of Goessel stakeholders and USD 411 stakeholders have aspirations for community improvements. (7) The Community of Goessel stakeholders and USD 411 stakeholders hold a positive view toward meeting the challenges they perceive to face the community of Goessel and USD 411. The data also revealed three challenges. (1) The Community of Goessel stakeholders and USD 411 stakeholders recognize the challenges that exist in sustaining a small town atmosphere and are willing to work together to seek a viable community based solution. (2) The Community of Goessel stakeholders and USD 411 stakeholders recognize the inherent challenges of sustaining high academic standards in USD 411 due to potential changes in the community’s demographics if population growth is encouraged. (3) The Community of Goessel stakeholders provided evidence of social capital in the community as expressed through high levels of bonding capital and the need to generate more bridging capital. The findings also suggest that the community of Goessel stakeholders and USD 411 stakeholders are willing to work cooperatively to overcome the challenges they face to sustain the community of Goessel and USD 411. Social capital can be found throughout the community of Goessel and USD 411. The data revealed an abundance of bonding capital. The data also revealed evidence of bridging capital. Establishing linkages and bridging capital to outside resources will help the community of Goessel stakeholders achieve their aspirations. / Thesis (Ed.D.)--Wichita State University, College of Education, Dept. of Educational Leadership. / "May 2005."

Τα πολυεπίπεδα νευρωνικά δίκτυα έχουν εφαρμοστεί στο παρελθόν με μεγάλη επιτυχία στην πρόβλεψη χρονοσειρών από το χώρο της οικονομίας. Στην πράξη όμως παρουσιάζουν διάφορα προβλήματα όπως: Εύρεση του βέλτιστου υποσυνόλου χαρακτηριστικών και χρησιμοποίησή τους σαν εισόδου. Εύρεση της βέλτιστης δομής (επίπεδα κρυφών νευρώνων, αριθμός κρυφών νευρώνων). Εύρεση των βέλτιστων τιμών των παραμέτρων του αλγορίθμου εκπαίδευσης των τεχνητών νευρωνικών δικτύων (παράμετρος μάθησης, παράμετρος ορμής κλπ.) Σκοπός της διπλωματικής αυτής εργασίας είναι η δημιουργίας μιας υβριδικής μεθόδου γενετικών αλγορίθμων και νευρωνικών δικτύων. Ο γενετικός αλγόριθμος θα είναι υπεύθυνος στην εύρεση του βέλτιστου συνδυασμού των παραπάνω προς αναζήτηση παραμέτρων του νευρωνικού δικτύου. Η υβριδική αυτή μέθοδος θα εφαρμοστεί στο πρόβλημα της πρόβλεψης του δείκτη ASE-20 του ελληνικού χρηματιστηρίου καθώς και στο πρόβλημα της πρόβλεψης της ισοτιμίας δολαρίου-Ευρώ. / In the present thesis we attempted to create a combination of genetic algorithms and neural networks. The proposed methodology was applied to the problem of predicting the exchange rate between EUR/USD and the Greek stock market ASE 20 index. The idea of combining these two techniques for the solving of the above mentioned problems emerged by their innate ability of finding solutions where traditional methods fail. On one hand, neural networks imitate the human brain procedures and on the other, genetic algorithms imitate the physical evolution process. In fact, both techniques copy some of nature’s functions. Artificial neural networks, through educating and generalizing manage to learn a problem and provide solutions to it. Genetic algorithms, through the evolution circle can overcome local minima or maxima and reach global ones. Due to their compact, parallel and distributed format and their ability of learning, neural networks make the solving of complicated problems possible, by dividing them in smaller projects, which are taken over by the neural networks according to their capabilities. Due to the advantages of neural networks and genetic algorithms we created a combination of them to predict the exchange rate between EUR/USD and the Greek stock market ASE 20 index.

The Diploma Thesis deals with influence of announcing economic indicators on currency exchange rate AUD/USD. The Thesis focuses on fundamental news announced in Australia, USA and China, as these play a significant role in forming of analyzed currency exchange rate. The first part includes general description of fundaments, explanation of investor's psychology, description of world's most important banks, because the financial world waits for their announcements and reacts upon them. Next subchapter of thesis focuses on central bank of Australia and its monetary policy. The research itself is situated in the second part of the thesis, containing testing the influence of fundamental news on logarithmic return of exchange rate AUD/USD, using linear regression analysis. The objective of this part is to find out what is the influence of news on exchange rate return of AUD/USD. The last part examines whether investing strategies based on announcing fundamental news can bring profit to the investor or the efficient market theory will be confirmed.

The aim of this thesis is empirical verification of the fundamental theory of exchange rate determination in the case of the currency pair EUR/USD. The theoretical part is devoted to the issue of exchange rate theory, with emphasis on the importance of the currency pair EUR/USD, and major characteristics of the fundamental theory of exchange rate determination. Attention is also paid to methods of analysis of time series, which will be used in the analytical part. The analytical part is devoted to an empirical verification of the underlying theories. On the basis of these theories are developed econometric models, which are then tested using the methods of linear regression and cointegration. The results of the models and their relevance are discussed in conclusion.

This thesis analyses the impact of announcements of macroeconomic indicators in United States on price development of the VIX Futures, S&P500 Futures and EUR/USD FX rate. Theoretical part contains construction and description of individual markets. Empirical part investigates the reaction of market prices after 1, 10 and 30 minutes after announcement of an individual indicator value on a market surprise demonstrated as a difference between reported value and analysts' expectations. We tried to find a systematic reaction of market participants and the pace of absorption of new information into the market price. There have been found minimum of situations, where we explained the market move as a linear combination of market surprise. However, there was a several cases, where the market did not adjust to announced information quickly and was inefficient in a short period. In the second part of empirical research we tested all significant models on an out-sample data. The goal was to determine whether the market inefficiencies persisted and stable profit could be achieved. We analysed the brutto performance, then netto performance including all transaction costs. Finally, we defined a simple trading rules with a purpose of profit stabilization and lowering the riskiness of trades. For VIX Futures and EUR/USD markets we achieved a low loss, respectively negligible profit. For S&P 500 Futures we obtained a profit strategies for all selected indicators, total profit was high with a very low volatility of invested capital.

The goal of this diploma work is aplication of technical analysis indicators, especially trend indicators and oscillators. Analysis was made for period of 5 years back on one title from foreign exchange market. Analysis indentifies whether are indicators more profitable than benchmark in the long term. Analysis also examine whether combination of indicators earn more, than indicators themselves.

V GNU/Linuxovém prostředí je nepřeberné množství možností, jak instalovat aplikace. V dnešní době existuje spousty nástrojů, které mají na starost různé části systému. Linuxové distribuce mají hlavního správce balíčků a populární programovací jazyky mají také vlastního správce balíčků. Všechny tyto nástroje si udržují informace o nainstalovaném softwaru, a proto si každý z nich spravuje vlastní databázi s redundantními metadaty o balíčcích. Záměrem této práce je analyzovat úložné prostory, identifikovat případy užití správců balíčků v distribuci Fedora a následně navrhnout a implementovat jednotnou cen- trální softwarovou databázi na systému.