Commodity Future Price Premiums – Case EU ETS

The purpose of this thesis was to study commodity future price premiums and their nature on emission allowance markets. The EUA spot and future contracts traded on the secondary market during EU ETS Phase 2 and Phase 3 were selected for empirical testing. The cointegration of spot and future prices was examined with Johansen cointegration methodology. Daily interest rates with a similar tenor to the future contract maturity were used in the cost-of-carry model to calculate the theoretical future prices and to estimate the deviation from the fair value of future contracts, assumed to be explained by the convenience yield. The time-varying dependence of the convenience yield was studied by regression testing the correlation between convenience yield and the time to maturity of the future contract. The results indicated cointegration between spot and future prices, albeit depending on assumptions on linear trend and intercept in cointegration vector Dec-14 and Dec-15 contracts. The convenience yield correlates positively with the time-to-maturity of the future contract during Phase 2, but negatively during Phase 3. The convenience yield featured positive correlation with spot price volatility and negative correlation with future price volatility during both Phases 2 and 3.

Evidencing and Sharing Value with Decision Making Models in an Industrial Maintenance Network

The objective of this thesis is to concretize the potential benefits that the industrial maintenance case network could achieve through using the value-based life-cycle model and the flexible asset management model. It is also inspected what factors prevent value creation and sharing in the maintenance contract practices of the case network. This thesis is a case study which utilizes modelling. Four scenarios were developed to demonstrate value creation in the future. The data was partly provided by the collaborating company, partly gathered from public financial statement information. The results indicate that value has been created through the past maintenance of the collaborating company’s rod mill and that profitability of the collaborating company has been mostly on satisfactory level during the past few years. Potential value might be created by increasing the share of proactive maintenance of the rod mill in the future. Profitability of the network could be improved in the future through flexible asset management operations. The main obstacle for value creation and sharing seems to be the lack of sufficient trust between the network members.

Forecasting financial weather - can we foresee market sentiment? Spectrum of stock price behavior - NYSE case study

The desire to create a statistical or mathematical model, which would allow predicting the future changes in stock prices, was born many years ago. Economists and mathematicians are trying to solve this task by applying statistical analysis and physical laws, but there are still no satisfactory results. The main reason for this is that a stock exchange is a non-stationary, unstable and complex system, which is influenced by many factors. In this thesis the New York Stock Exchange was considered as the system to be explored. A topological analysis, basic statistical tools and singular value decomposition were conducted for understanding the behavior of the market. Two methods for normalization of initial daily closure prices by Dow Jones and S&P500 were introduced and applied for further analysis. As a result, some unexpected features were identified, such as a shape of distribution of correlation matrix, a bulk of which is shifted to the right hand side with respect to zero. Also non-ergodicity of NYSE was confirmed graphically. It was shown, that singular vectors differ from each other by a constant factor. There are for certain results no clear conclusions from this work, but it creates a good basis for the further analysis of market topology.

Konedirektiivin 2006/42/EY ja SFS-EN 1090- standardin vaatimukset ja soveltaminen teollisuuden kunnossapitotoiminnassa

Tässä diplomityössä tarkastellaan konedirektiivin 2006/42/EY ja SFS-EN 1090- teräsrakennestandardin vaatimuksia teollisuuden kunnossapitotoiminnalle, ja kuinka niitä täytyy soveltaa. Työssä käsitellään koneturvallisuuden perusasioita ja CE-merkintää niin koneissa kuin 1.7.2014 voimaantulleissa SFS-EN 1090 mukaisissa teräsrakenteissa ja rakennustuotteissa. Teoriaosuudessa selvitettiin ja koottiin yhteen muun muassa SFS-EN 1090 standardiin liittyviä vaatimuksia tilaajille, toimittajille ja niihin liittyviä vastuukysymyksiä. Samoin koneturvallisuuden kannalta selvitettiin muun muassa koneiden muuttamista ja valmistamista määrittäviä standardeja ja asetuksia. Työ sisälsi teräsrakenteita valmistaville toimijoille suunnatun haastattelun, jossa kysyttiin SFS-EN 1090 standardin tuomia vaatimuksia, standardin voimaan tuloon valmistautumista, standardin aiheuttamia kustannuksia tuotteiden hintoihin sekä yleisesti standardiin liittyvää tiedotuksen tasoa ja tietolähteitä. Haastattelut toteutettiin Kaakkois-Suomen alueella toimiville yhdeksälle yritykselle, jotka valittiin niiden toimimisestaan erään tilaajaorganisaation toimittajina. Saaduista vastauksista tutkittiin muun muassa yritysten valmistautumista SFS-EN 1090 standardin käyttöönottoon ja sertifiointiin. Valmistautuminen onnistui useiden yritysten kohdalta hyvin, vaikka se jäi monien osalta viimeisiin kuukausiin.

Regime-Switching in the Impact of Oil Price Shocks on Stock Market Volatility: Evidence from Oil-Importing and Oil-Exporting Countries

Research has highlighted the adequacy of Markov regime-switching model to address dynamic behavior in long term stock market movements. Employing a purposed Extended regime-switching GARCH(1,1) model, this thesis further investigates the regime dependent nonlinear relationship between changes in oil price and stock market volatility in Saudi Arabia, Norway and Singapore for the period of 2001-2014. Market selection is prioritized to national dependency on oil export or import, which also rationalizes the fitness of implied bivariate volatility model. Among two regimes identified by the mean model, high stock market return-low volatility regime reflects the stable economic growth periods. The other regime characterized by low stock market return-high volatility coincides with episodes of recession and downturn. Moreover, results of volatility model provide the evidence that shocks in stock markets are less persistent during the high volatility regime. While accelerated oil price rises the stock market volatility during recessions, it reduces the stock market risk during normal growth periods in Singapore. In contrast, oil price showed no significant notable impact on stock market volatility of target oil-exporting countries in either of the volatility regime. In light to these results, international investors and policy makers could benefit the risk management in relation to oil price fluctuation.

Item-level life-cycle model for maintenance network – from cost to additional value

The importance of industrial maintenance has been emphasized during the last decades; it is no longer a mere cost item, but one of the mainstays of business. Market conditions have worsened lately, investments in production assets have decreased, and at the same time competition has changed from taking place between companies to competition between networks. Companies have focused on their core functions and outsourced support services, like maintenance, above all to decrease costs. This new phenomenon has led to increasing formation of business networks. As a result, a growing need for new kinds of tools for managing these networks effectively has arisen. Maintenance costs are usually a notable part of the life-cycle costs of an item, and it is important to be able to plan the future maintenance operations for the strategic period of the company or for the whole life-cycle period of the item. This thesis introduces an itemlevel life-cycle model (LCM) for industrial maintenance networks. The term item is used as a common definition for a part, a component, a piece of equipment etc. The constructed LCM is a working tool for a maintenance network (consisting of customer companies that buy maintenance services and various supplier companies). Each network member is able to input their own cost and profit data related to the maintenance services of one item. As a result, the model calculates the net present values of maintenance costs and profits and presents them from the points of view of all the network members. The thesis indicates that previous LCMs for calculating maintenance costs have often been very case-specific, suitable only for the item in question, and they have also been constructed for the needs of a single company, without the network perspective. The developed LCM is a proper tool for the decision making of maintenance services in the network environment; it enables analysing the past and making scenarios for the future, and offers choices between alternative maintenance operations. The LCM is also suitable for small companies in building active networks to offer outsourcing services for large companies. The research introduces also a five-step constructing process for designing a life-cycle costing model in the network environment. This five-step designing process defines model components and structure throughout the iteration and exploitation of user feedback. The same method can be followed to develop other models. The thesis contributes to the literature of value and value elements of maintenance services. It examines the value of maintenance services from the perspective of different maintenance network members and presents established value element lists for the customer and the service provider. These value element lists enable making value visible in the maintenance operations of a networked business. The LCM added with value thinking promotes the notion of maintenance from a “cost maker” towards a “value creator”.

Derivative hedging strategies for bitumen price risk

The objective of the study is to extend the existing hedging literature of the commodity price risks by investigating what kind of hedging strategies can be used in companies using bitumen as raw material in their production. Five different alternative swap hedging strategies in bitumen markets are empirically tested. Strategies tested are full hedge strategy, simple, conservative, and aggressive term structure strategies, and implied volatility strategy. The effectiveness of the alternative strategies is measured by excess returns compared to no hedge strategy. In addition, the downside risk of each strategy is measured with target absolute semi-deviation. Results indicate that any of the tested strategies does not outperform the no hedge strategy in terms of excess returns in all maturities. The best-performing aggressive term structure strategy succeeds to create positive excess returns only in short maturities. However, risk seems to increase hand-in-hand with the excess returns so that the best-performing strategies get the highest risk metrics as well. This implicates that the company willing to gain from favorable price movements must be ready to bear a greater risk. Thus, no superior hedging strategy over the others is found.

Information management in aircraft maintenance

Well managed information promotes competitive advantage and economic value for the company. The challenge is to use information effectively in complex networks. Decision making in network is complicated due to many independent sources of information. The aim of the present study was to identify and map the internal information flows and used information resourced by functions and roles, to make proposals to the case organization to improve the information management and to improve the situational awareness and process flows. In the present study, an inductive approach was applied, with the aim to find out gaps and bottlenecks of information flow of an aircraft maintenance organization and its network. The empirical part was conducted with observing the processes and with questionnaires. Theoretical part of this study consists on reviewing relevant literature on maintenance management in aviation and information management in aviation. Together with empirical evidence and the literature used in the study the gaps were found and suggestions for improvements were done. The outcome of this study contributes the organization in its bigger goal to improve the productivity. The information management of the network is one actor in the field and will pave the way to smoother operation and situational awareness. The lack of rules and requirements for information management and spreading is a challenge in information management. The excessive data overburden may cause problem in the actors’ situation-awareness due to non-availability of the right information.

Keskikokoisen maatilan biokaasu- ja aurinkosähköratkaisujen kannattavuus Etelä-Savossa

Tässä kandidaatintyössä perehdytään biokaasun syntyprosessiin ja sen hyödyntämismahdollisuuksiin, sekä vertaillaan biokaasun tuotannon määrää Suomessa ja Saksassa. Työssä tarkastellaan biokaasuvoimalan kannattavuutta keskikokoisen maatilan yhteydessä Etelä-Savossa ja käydään läpi biokaasuvoimalalle Suomessa myönnettäviä tukimuotoja. Tukimuotojen lisäksi käydään läpi erilaisia lupia ja hyväksyntöjä, joita maatilan yhteyteen rakennettava biokaasu-voimalaitos tarvitsee. Työn toisessa osassa käydään läpi aurinkoenergian hyödyntämismahdollisuuksia, aurinkosähköjärjestelmän komponentteja, sekä perehdytään aurinkopaneelin toimintaperiaatteeseen. Tarkastellaan biokaasuvoimalan lisäksi myös aurinkovoimalan kannattavuutta maatilan yhteydessä ja vertaillaan biokaasu- ja aurinkovoimalan ominaisuuksia keskenään. Lisäksi vertaillaan aurinkosähkön tuotantoa Suomessa ja Saksassa. Työn tavoitteena on selvittää biokaasu- ja aurinkosähkövoimalan kannattavuus esimerkkimaatilalla. Biokaasulaitoksen hinta-arvio saatiin vastauksena tarjouspyyntöön ja aurinkosähköjärjestelmän hinta arvioitiin kotimaisten toimittajien aurinkosähköpakettien hintojen avulla. Biokaasuvoimalan sähköntuottoennuste sekä huolto- ja käyttökustannukset perustuvat kirjallisuudesta saatuihin arvoihin. Aurinkovoimalan sähköntuottoennuste ja paneelien suuntauksen vaikutusta tuotantoon laskettiin PVGIS:n laskurilla sekä HOMER-ohjelmistolla. Kannattavuuslaskelmien perusteella kumpikaan voimalaitostyyppi ei tutkituilla voimalaitosten suuruuksilla ole kannattava 20 tai edes 30 vuoden pitoajalla esimerkkimaatilalla nykyisellä sähkönhinnalla ja tukitasolla. Aurinkosähköjärjestelmälle saadaan kuitenkin 20 vuoden takaisinmaksuaika, jos se hankitaan ilman lainarahaa. Tällöin voidaan ajatella, että laitos on kannattava. Biokaasulaitoksen kannattavuutta parantaisivat tukien ja sähkön hinnan nousun ohella kaasun ja lämmön myyntimahdollisuudet, joita esimerkkimaatilalla ei ole. Aurinkovoimalan kannattavuutta parantaisivat puolestaan tukien ja korkeamman sähkön hinnan lisäksi paremmin paneelien tuotantoa seuraava kulutus, jolloin pienempi osuus sähköstä päätyisi myyntiin.