Verslo nuosavybės ekonomikos magistro baigiamojo darbo tema yra aktuali tuo, kad valstybės skola šiandieninėje švietėjiškoje ir politinėje visuomenėje yra vienas aktualiausių klausimų, kadangi tai liečia netik pačią valstybę, valstybės vyriausybę, bet ir visus valstybės gyventojus, jų socialinę aplinką, ateities kartas. Valstybės skola ir jos atsiradimo priežastys svarbios ekonomikos mokslo dalykui, nes tai valstybės ekonomikos vystymuisi reikšmingas veiksnys. Atliekamo aprašomojo tyrimo metu bus siekiama, išanalizavus Lietuvos valstybes skolos struktūrą, jos pokyčius bei įtaką Lietuvos ekonomikai per keletą pastarųjų dešimtmečių, nustatyti išskirtų laikotarpių skolinimosi ypatumus, atskleisti Lietuvos skolos valdymo aspektus bei efektyvumą. Tyrimo metu bus tikrinama ši hipotezė (H1): Lietuvos valstybės skolinimosi rizika ir skolos didėjimo problema valdoma netinkamai. Tyrimo objektas - Lietuvos valstybės skola. Pagrindinis šio darbo tikslas - išnagrinėti valstybės skolos teorinius aspektus, Lietuvos valstybės skolos raidą, analizuojant statistinius ir analitinius duomenis bei ištirti jos poveikio ekonomikai vertinimo ir valdymo problemas. Darbo metu analizuojami statistiniai ir analitiniai duomenys apie Lietuvos valstybės skolą ir šalies ekonomiką. Taipogi interpretuojami įvairūs moksliniai straipsniai, kuriuose vienu ar kitu aspektu analizuojama Lietuvos valstybės skola, jos valdymo ir įtakos ekonomikai problemos. Atliktas tyrimas ir analizė iš dalies patvirtina... [toliau žr. visą tekstą] / State debt: structure, process and influence to Lithuanian economy/ Master’s Work in Business Equity Economics. Supervisor assoc. doc. dr. L. Šadžius. – Vilnius: Faculty of Economics and Finance Management, Mykolas Romeris University, 2009. – 89 p. The relevance of Master’s work in Business Equity Economics is disclosed by the fact that state debt is one of the most talking points in modern day society, because it involves not only the state, the state government, but also the whole population, their social environment and future generations. The state debt and its coming reasons are important to science of economy, because it is an important factor to the growth of state economy. Performing the descriptive analysis it is pursued to identify the borrowing peculiarities of separated periods, to reveal the aspects and effectiveness of Lithuanian state debt management by analyzing the structure, changes of Lithuanian state debt and its influence to Lithuanian economy. During the analysis the hypothesis (H1) would be tested: The borrowing risk and the problem of state debt growth are managed wrongly. The object of the analysis is Lithuanian state debt. The main purpose of this master thesis is to analyze the theoretical aspects of state debt, the process of Lithuanian state debt by analyzing statistical and analytical data and to analyze the estimation and management problems of Lithuanian state debt influence to Lithuanian economy. While writing the master thesis, the... [to full text]

Calif., Univ. of California, Diss.--Berkeley, 2002. / Kopie, ersch. im Verl. UMI, Ann Arbor, Mich. - Enth. 3 Beitr.

This thesis is focused on the comparison of methods of financing budget deficits and national debt management in the Czech Republic with other OECD countries in the context of the current situation on the global financial market. The first part describes the methods of financing budget deficits in the Czech Republic which are compared with selected OECD countries. The second part is aimed at the impact of foreign exchange interventions of the Czech National Bank on the domestic bond market and it is compared with negative interest rates policy. The last part analyses the impact of the Public Sector Purchase Programme on the Czech Republic's bond market. The thesis implies that besides other factors, foreign exchange intervention of the Czech National Bank have an impact on the current situation on the bond market. While the impact of the programme PSPP has not yet proved.

The technical debt field covers an critical problem of software engineering, and this is one of the reasons why this field has received significant attention in recent years. The technical debt metaphor helps developers to think about, and to monitor software quality. The metaphor refers to flaws in software (usually caused by shortcuts to save time) that may affect future maintenance and evolution. It was created by Cunningham to improve the quality of software delivery. Many times the technical debt items are unknown, unmonitored and therefore not managed, thus resulting in high maintenance costs throughout the software life-cycle. We conducted an empirical study in an academic environment, during two offerings of a laboratory course on Extreme Programming (XP Lab) at University of São Paulo and in two Brazilian Software Companies (Company A and B). We analyzed thirteen teams, nine in the Academy and four in the Companies environment. The teams had a comprehensive lecture about technical debt and several ways to identify and manage technical debt were presented. We monitored the teams, performed interviews, did close observations and collected feedback. The obtained results show that the awareness of technical debt influences team behavior. Team members report thinking and discussing more on software quality after becoming aware of technical debt in their projects. We identified some impacts on the teams and the projects after having considered technical debt. A conceptual model for technical debt management was created including ways of how identifying, monitoring, categorizing, measuring, prioritizing, and paying off the technical debt. A few approaches and techniques for the technical debt management, identification, monitoring, measure, and payment are also suggested. / A metáfora de dívida técnica engloba um importante problema da engenharia de software e essa é uma das razões pelas quais este campo tem recebido uma grande atenção nos últimos anos. Essa metáfora auxilia os desenvolvedores de software a refletirem sobre e a monitorarem a qualidade de software. A metáfora se refere a falhas no software (geralmente causadas por atalhos para economizar tempo) que podem afetar a futura manutenção e evolução do mesmo. A metáfora foi criada por Cunningham com o objetivo de melhorar a qualidade das entregas de software. Muitas vezes as dívidas técnicas não são conhecidas, monitoradas e nem geridas, resultando em um alto custo de manutenção ao longo do ciclo de vida do software. Logo, conduziu-se um estudo empírico na academia, durante duas ofertas da disciplina de Programação Extrema (XP Lab) na Universidade de São Paulo e em duas empresas Brasileiras de desenvolvimento de software (Empresa A e B). Foram analisados treze times, sendo nove na academia e quatro nas empresas. Os times tiveram uma apresentação sobre dívida técnica e foram apresentadas algumas sugestões de abordagens para gerir dívida técnica. Monitorou-se os times, foram realizadas entrevistas, observações fechadas e informações foram coletadas. Os resultados mostraram que considerar dívida técnica influenciou o comportamento dos times. Eles reportaram que após considerar dívida técnica passaram a refletir e discutir mais a qualidade do software. Identificou-se alguns impactos nos times e nos projetos depois de considerarem dívida técnica. Um modelo conceitual para gestão de dívida técnica foi criado, incluindo formas, técnicas e abordagens de como identificar, monitorar, categorizar, medir, priorizar e pagar os itens de dívida técnica.

Evaluation of the Financial Situation in the Construction Company shows and uses methods and tools leading to examination of financial situation, stability, liquidity and profitability of this company. Essence of financial analysis is evaluation of present-state and past development on the base of financial statement analysis. Regarding to market expectations can the results of financial statement analysis help to forecast future deve-lopment of the business. Important part of financial analysis is also commentary and draft of measures leasing to steady and effective business functioning.

It can be difficult for a sovereign debt manager to see the implications on expected costs and risk of a specific debt management strategy, a simulation model can therefore be a valuable tool. This study investigates how future economic data such as yield curves, foreign exchange rates and CPI can be simulated and how a portfolio optimization model can be used for a sovereign debt office that mainly uses financial derivatives to alter its strategy. The programming language R is used to develop a bespoke software for the Swedish National Debt Office, however, the method that is used can be useful for any debt manager. The model performs well when calculating risk implications of different strategies but debt managers that use this software to find optimal strategies must understand the model's limitations in calculating expected costs. The part of the code that simulates economic data is developed as a separate module and can thus be used for other studies, key parts of the code are available in the appendix of this paper. Foreign currency exposure is the factor that had the largest effect on both expected cost and risk, moreover, the model does not find any cost advantage of issuing inflation-protected debt. The opinions expressed in this thesis are the sole responsibility of the author and should not be interpreted as reflecting the views of the Swedish National Debt Office. / Det kan vara svårt för en statsskuldsförvaltare att se påverkan på förväntade kostnader och risk när en skuldförvaltningsstrategi väljs, en simuleringsmodell kan därför vara ett värdefullt verktyg. Den här studien undersöker hur framtida ekonomiska data som räntekurvor, växelkurser ock KPI kan simuleras och hur en portföljoptimeringsmodell kan användas av ett skuldkontor som främst använder finansiella derivat för att ändra sin strategi. Programmeringsspråket R används för att utveckla en specifik mjukvara åt Riksgälden, men metoden som används kan vara användbar för andra skuldförvaltare. Modellen fungerar väl när den beräknar risk i olika portföljer men skuldförvaltare som använder modellen för att hitta optimala strategier måste förstå modellens begränsningar i att beräkna förväntade kostnader. Delen av koden som simulerar ekonomiska data utvecklas som en separat modul och kan därför användas för andra studier, de viktigaste delarna av koden finns som en bilaga till den här rapporten. Valutaexponering är den faktor som hade störst påverkan på både förväntade kostnader och risk och modellen hittar ingen kostnadsfördel med att ge ut inflationsskyddade lån. Åsikterna som uttrycks i den här uppsatsen är författarens egna ansvar och ska inte tolkas som att de reflekterar Riksgäldens syn.