Working capital management in the value chain of automotive industry

The objective of this Master’s thesis is to examine working capital management in the automotive industry in years 2006-2008. The study is conducted by the analysis of financial statements. The sample consists of 65 companies that represent different stages in the value chain of automotive industry beginning from raw material suppliers and ending to car dealers. Working capital management is studied by the cash conversion cycle (CCC). The results show that the average CCC of the value chain is 67 days. Car manufacturers had the longest CCC, 106 days, whereas the CCC of oil companies was the shortest, 22 days. The findings suggest that the cycle time of working capital usually follows the cycle time of inventories, since the changes in cycle times of accounts receivable and payable compensate each other. Improvements in working capital management could be achieved by sharing more accurate information in the chain for example about inventory levels and order points of customer. It could also be discussed within the automotive industry, if the long credit periods, which tie up working capital, are really needed. New technologies enable faster payments, which would reduce the cash conversion cycles, improve the profitability of companies, and increase the competitiveness of the value chain. Working capital should not be reduced at the expense of value chain partners, because nowadays the competition is rather between the value chains than between the companies. Similar research design is applied earlier to study working capital management in the value chain of pulp and paper industry. Even if the industries and the structures of the chains differ from each other, results were surprisingly similar. In future research, working capital management in other industries’ value chains could still be studied and compared to previous studies. ICT industry, for example, could be an interesting object.

Sähköalan PK-yrityksen taloudellinen terveys

Työn kohteena on kaksi kotkalaista sähköasennusalan yritystä, Kotkan Käämityö Oy ja Kotkan Sähkötyö Oy. Kohdeyritysten taloudellinen tilanne on heikentynyt merkittävästi vuosien 2009 ja 2010 aikana. Työssä tarkastellaan kohdeyritysten talouden kehitystä sekä tähän kehitykseen johtaneita syitä vuosina 2005-2010. Työn pääasiallinen tutkimusmenetelmä on tunnuslukuja hyväksi käyttäen toteutettu tilinpäätösanalyysi. Tilinpäätösanalyysiä tuettiin vertailemalla kohdeyritysten talouden kehitystä kuvaavia tunnuslukuja sähköasennusalan ja alueellisten kilpailijoiden lukuihin. Lisäksi kohdeyrityksille laadittiin kannattavuusrajalaskelmat sekä skenaariomenetelmää hyväksi käyttäen tulos- ja tase-ennusteet vuosille 2011-2013. Kohdeyritykset ovat reagoineet taseidensa huononevaan tilaan myymällä omaisuutta ja järjestelemällä uudelleen liiketoimintaansa. Molempien kohdeyritysten kannattavuuden ennustettiin paranevan huomattavasti vuonna 2011. Epävarma toimintaympäristö muodostaa kuitenkin jatkuvan haasteen yritysten toiminnan kannattavuudelle ja jatkuvuudelle. Yritysten tulisi tulevaisuudessa keskittyä parantamaan varsinaisen liiketoimintansa kannattavuutta.

Predicting bankruptcy of Finnish limited liability companies from historical financial statements

This master’s thesis studies the probability of bankruptcy of Finnish limited liability companies as a part of credit risk assessment. The main idea of this thesis is to build and test bankruptcy prediction models for Finnish limited liability companies that can be utilized in credit decision making. The data used in this thesis consists of historical financial statements from 2112 Finnish limited liability companies, half of which have filed for bankruptcy. A total of four models are developed, two with logistic regression and two with multivariate discriminant analysis (MDA). The time horizon of the models varies from 1 to 2 years prior to the bankruptcy, and 14 different financial variables are used in the model formation. The results show that the prediction accuracy of the models ranges between 81.7% and 88.9%, and the best prediction accuracy is achieved with the one year prior the bankruptcy logistic regression model. However the difference between the best logistic model and the best MDA model is minimal. Overall based on the results of this thesis it can be concluded that predicting bankruptcy is possible to some extent, but naturally the results are not perfect.

Financial Analysis of the Pulp and Paper Industry: Performance and value creation of the world's pulp and paper companies

Tutkimuksen tavoitteena on analysoida 74 sellu- ja paperiyrityksen taloudellista suorituskykyä kannattavuutta, maksuvalmiutta, vakavaraisuutta ja arvonluontikykyä kuvaavilla tunnusluvuilla. Tutkimuksen teoriaosa esittelee liiketoiminta-analyysin välineet, jonka jälkeen esitellään taloudelliset tunnusluvut. Empiriaosassa käydään läpi vuoden 2005 tunnusluvut yritystasolla. Jotta voidaan tarkastella tunnuslukujen muutoksia pitkällä aikavälillä, yritykset ryhmitellään maantieteellisen sijainnin sekä liiketoimintaorientaation mukaan. Tutkimus on kuvaileva. Tunnusluvuista voidaan todeta sellu- ja paperiteollisuudessa meneillään oleva toimialan rakennemuutos. Eteläamerikkalaiset yritykset, jotka hyötyvät uudesta ja kustannustehokkaasta raaka-aineesta, ovat siirtyneet lähemmäs arvonluontia, kun taas suurin osa pohjoisamerikkalaisista yrityksistä, jotka olivat toimialan johtavia arvonluojia, ovat nyt arvon tuhoajia. Toimiala kärsii myös alhaisesta kannattavuudesta, joka vaikuttaa eniten pohjoisamerikkalaisiin yrityksiin. Samaan aikaan eteläamerikkalaiset yritykset ovat nostaneet kannattavuuttaan, mikä puolestaan korostaa meneillään olevaa muutosta.

Disclosure of tax information -from tax reporting system to the financial statements, Case: Fortum Oyj

The main target of the study was to examine how Fortum’s tax reporting system could be developed in a way that it collects required information which is also easily transferable to the financial statements. This included examining disclosure requirements for income taxes under IFRS and US GAAP. By benchmarking some Finnish, European and US companies the purpose was to get perspective in what extend they present their tax information in their financial statements. Also material weakness, its existence, was under examination. The research method was qualitative, descriptive and normative. The research material included articles and literature of the tax reporting and standards relating to it. The interviews made had a notable significance. The study pointed out that Fortum’s tax reporting is in good shape and it does not require big changes. The biggest renewal of the tax reporting system is that there is only one model for all Fortum’s companies. It is also more automated, quicker, and more efficient and it reminds more the notes in its shape. In addition it has more internal controls to improve quality and efficiency of the reporting process.

Analysis of value drivers behind CRM adoption projects in financial services industry

This research is focused on deriving framework for the value thought for from the Customer Relationship Management system adopted by an enterprise operating in the financial services industry. It will analyze existing academic work to derive a conceptual value model, while applying secondary industry specific case studies provided by the CRM vendors to check the validity and commonality of these drivers. Furthermore this work locates the variances and correlation between value thought for from CRM system, scope of enterprise operations and size of the enterprise.

Identification of research trends in the field of separation processes. Application of epidemiological model, citation analysis, text mining, and technical analysis of the financial markets

Choice of industrial development options and the relevant allocation of the research funds become more and more difficult because of the increasing R&D costs and pressure for shorter development period. Forecast of the research progress is based on the analysis of the publications activity in the field of interest as well as on the dynamics of its change. Moreover, allocation of funds is hindered by exponential growth in the number of publications and patents. Thematic clusters become more and more difficult to identify, and their evolution hard to follow. The existing approaches of research field structuring and identification of its development are very limited. They do not identify the thematic clusters with adequate precision while the identified trends are often ambiguous. Therefore, there is a clear need to develop methods and tools, which are able to identify developing fields of research. The main objective of this Thesis is to develop tools and methods helping in the identification of the promising research topics in the field of separation processes. Two structuring methods as well as three approaches for identification of the development trends have been proposed. The proposed methods have been applied to the analysis of the research on distillation and filtration. The results show that the developed methods are universal and could be used to study of the various fields of research. The identified thematic clusters and the forecasted trends of their development have been confirmed in almost all tested cases. It proves the universality of the proposed methods. The results allow for identification of the fast-growing scientific fields as well as the topics characterized by stagnant or diminishing research activity.

Analysis of corporate social responsibility (CSR) performance and financial performance of selected mining companies

The global concern about sustainability has been growing and the mining industry is questioned about its environmental and social performance. Corporate social responsibility (CSR) is an important issue for the extractive industries. The main objective of this study was to investigate the relationship between CSR performance and financial performance of selected mining companies. The study was conducted by identifying and comparing a selection of available CSR performance indicators with financial performance indicators. Based on the result of the study, the relationship between CSR performance and financial performance is unclear for the selected group of companies. The result is mixed and no industry specific realistic way to measure CSR performance uniformly is available. The result as a whole is contradictory and varies at company level as well as based on the selected indicators. The result of this study confirms that the relationship between CSR performance and financial performance is complicated and difficult to determine. As an outcome, evaluation of benefits of CSR in the mining sector could better be analyzed based on different attributes.

Forecasting financial weather - can we foresee market sentiment? Quantitative analysis of nodal prices in the New Zealand Electricity Spot Market

Time series of hourly electricity spot prices have peculiar properties. Electricity is by its nature difficult to store and has to be available on demand. There are many reasons for wanting to understand correlations in price movements, e.g. risk management purposes. The entire analysis carried out in this thesis has been applied to the New Zealand nodal electricity prices: offer prices (from 29 May 2002 to 31 March 2009) and final prices (from 1 January 1999 to 31 March 2009). In this paper, such natural factors as location of the node and generation type in the node that effects the correlation between nodal prices have been reviewed. It was noticed that the geographical factor affects the correlation between nodes more than others. Therefore, the visualisation of correlated nodes was done. However, for the offer prices the clear separation of correlated and not correlated nodes was not obtained. Finally, it was concluded that location factor most strongly affects correlation of electricity nodal prices; problems in visualisation probably associated with power losses when the power is transmitted over long distance.

Innovation Benchmark Study: Analysis of Innovation Processes in Finnish Companies

Liikevaihdon orgaaninen kasvu on ensisijainen tekijä ja haaste yritysjohdolle yrityksen omistaja-arvon kasvattamiseksi. Tutkimus tarkastelee suosivatko suomalaisyritykset pääasiallisesti olemassa olevaa liiketoimintaa palvelevia innovaatioita vai tukevatko nykyhetken toimintatavat myös uusia kasvua kiihdyttäviä radikaaleja innovaatioita. Lisäksi työ kartoitti suomalaisyritysten innovaatioprosessien kehitysalueita käyttäen itsearviointitutkimusta.Tulokset johtivat kolmeen johtopäätökseen. Tutkimus osoitti, että vastaajayritykset ovat keskittyneet innovaatiotoiminnassaan vahvasti ydinliiketoimintaansa, jättäen potentiaaliset kasvumahdollisuudet huomioimatta. Yritykset tavoittelevat maksimaalisia tuottoja keskittymällä tuotteidensa korkeaan suorituskykyyn. Lyhyen aikavälin epärealistiset tuotto-odotukset sekä projekteille suunnatut arviointikriteerit rajoittavat liiketoimintaa mullistavien radikaalien innovaatioiden kehittymistä organisaatiossa. Toiseksi, tutkimus osoitti, että suuri osa yrityksistä käyttää perinteisen projektien arviointi- ja kehitysprosessin lisäksi vaihtoehtoisia ja huonosti kontrolloitavissa olevia kehitysprosesseja, mikäli projektille annetaan kielteinen rahoituspäätös standardin prosessin sisällä. Kolmanneksi, suomalaisyritysten innovaatioprosesseissa paljastui merkittäviä puutteita mitattavien elementtien suhteen.

Deregulation of Railroads and Future Development Scenarios in Europe - Literature Analysis of Privatization Process Taken Place in US, UK and Sweden

Euroopan unionissa päätettiin jo yli vuosikymmen sitten, että rautatieliiketoiminta vapautetaan kilpailulle. Iso-Britanniasta olimäärä tulla esimerkkivaltio tämän prosessin käyttöönotossa. Pääideana oli säännöstelyn keventäminen, jolloin omistuspohja toimialalla laajenee ja rautateiden infrastruktuuri sekä toiminta parantuvat. Infrastruktuuri on määrä olla yhden organisaation hallinnassa ja raiteiden käyttöoikeus on kaikilla lupaehdot täyttävillä operaattoreilla, jotka kilpailevat keskenään matkustajista ja tavararahdeista. Kuitenkin Yhdysvalloissa ja eräissä Latinalaisen Amerikan maissa kilpailu on vapautettu siten, että rautatieyritys omistaa raideinfrastruktuurin, junat, tavarankuljetus- sekä matkustajavaunut. Iso-Britannian yksityistämistä pidettiin aluksi isonaepäonnistumisena: nopealla aikataululla sovellettiin jäykkiä transaktioperusteisia ulkoistamisstrategioita infrastruktuurin kunnossapitoon, jotka lopulta johtivat junien jatkuviin myöhästymisiin ja muutamaan tuhoisaan onnettomuuteen. Liiketoiminnallisessa mielessäkään ei oikein onnistuttu: infrastruktuurista vastaava yritys jouduttiin listaamaan pois Lontoon pörssistä, ja hallituksen oli pakko luoda tukipaketti pahasti velkaantuneen, vain marginaalisien investointien kohteena olleen yrityksen toimintaa varten (vaikka kapasiteettitarvetta oli markkinoilla). Myös rautatieoperaattorit olivat taloudellisessa ahdingossa ja vain määrätietoisten hallituksen laatimien pelastuspakettien avulla ala nousi syvimmästä kriisistään. Tästä huolimatta näiden negatiivisten sivuvaikutusten ohella koko ala pystyi kasvattamaan kysyntää, niin matkustaja- kuin rahtiliikenteenkin osalta. Vähenevän kysynnän trendi, joka alkoi 1970-luvulla, otti käännöksen parempaan. Toinen eurooppalaismaa, jolla on pitkät kokemukset yksityistämisestä, on Ruotsi. Tämä maatapaus on melko konservatiivinen verrattuna tilanteeseen edellisessä; vain rajattu määrä reittejä on avattu kilpailulle ja sopimukset tehdään kerralla pitkäksi aikaa eteenpäin. Ruotsin säännöstelyn purku osoittautui menestykseksi, koska tuottavuus onollut vakaassa kasvussa ja rautateiden markkinaosuus erityisesti matkustajapuolella on noussut merkittävästi, verrattuna muihin kuljetusmuotoihin. Kuitenkin kilpailua on käytännössä vähän tässä maassa ja parempiatuloksia on lupa odottaa, kun vain säännöstelyn purkaminen jatkuu. Viimeinen tutkimuksemme kohteena oleva maa on Yhdysvallat, joka alistutti rautatiet kilpailulle jo 1980-luvun alussa, käyttäen jo edellä mainittua vertikaalista integraatiota; tämä valinta on taas johtanut hyvin erilaisiin tuloksiin. Vaihtoehtoinen rakenteellinen uudistustapa on suosinut rahtivirtoja matkustajiin nähden, ja lopputuloksena tämä tapaus synnytti yrityksiä huolehtimaan toista näistä kahdesta pääasiakasryhmästä. Viimeaikaiset tulokset tästä yksityistämisprosessista ovat olleet hyviä: jäljellejääneiden yritysten voitot ovat kasvaneet, osinkoja ollaan kyetty jakamaan ja osakkeiden arvostus on noussut. Tässä tutkimusraportissa yritämme kolmen maatapauksen kautta esittää, miten yksityistämisprosessi tulee vaikuttamaan Euroopassa, kun kilpailu rautateillä vapautuu. Me käymmeläpi, mikä näistä kolmesta maaesimerkistä on kaikkein todennäköisin jaesitämme ehdotuksia siihen, miten valtiot voisivat välttää ei-haluttuja sivuvaikutuksia. Kolme maaesimerkkiä, ja lopuksi esitetty lyhyt tilastollinen analyysi osoittavat, että rautateillä on tulevaisuuden potentiaalia Euroopassa, ja kilpailun vapauttaminen on avain tämän potentiaalin realisointiin.

Analysis of outliers in electricity spot prices with exampleof New England and New Zealand markets

Electricity spot prices have always been a demanding data set for time series analysis, mostly because of the non-storability of electricity. This feature, making electric power unlike the other commodities, causes outstanding price spikes. Moreover, the last several years in financial world seem to show that ’spiky’ behaviour of time series is no longer an exception, but rather a regular phenomenon. The purpose of this paper is to seek patterns and relations within electricity price outliers and verify how they affect the overall statistics of the data. For the study techniques like classical Box-Jenkins approach, series DFT smoothing and GARCH models are used. The results obtained for two geographically different price series show that patterns in outliers’ occurrence are not straightforward. Additionally, there seems to be no rule that would predict the appearance of a spike from volatility, while the reverse effect is quite prominent. It is concluded that spikes cannot be predicted based only on the price series; probably some geographical and meteorological variables need to be included in modeling.

Strategic groups and performance: an empirical analysis of strategic groups in the wind energy industry in Europe

The strategic group theory provides an intermediate level of analysis between a single company and the whole industry for identifying issues about the company's competitive position and strategic choices. Strategic groups are companies within an industry with similar strategic characteristics or competing on similar bases. Strategic choices are aligned with the firms’ resources. The purpose of this study was to identify the strategic groups in the wind energy industry in Europe, and study, whether a certain group membership results in financial performance differences. Altogether 80 European wind energy companies were included in the study, which were clustered into four strategic groups according to their age and growth rate. Each group corresponds to a different strategy. The results show that the wind energy companies can be clustered according to the chosen strategic characteristics. Strategic decisions were investigated with characteristic variables. Performance variables were used in the analysis measuring profitability, liquidity and solvency of the groups. These strategic choices of the companies did not have a significant influence on the firms’ performance. The more mature and slower growing group proved to be the most successful. However, the differences between groups were generally not statistically significant. The only statistically significant difference found was in the solvency ratio between Mature Slow and Young Rapid groups. Measured with these variables, more mature and slower growing companies performed better. Therefore, a certain strategic group membership results in performance differences.

Determinants of cash holdings in Finnish industrial sector: measuring the impact of financial crisis 2007- 2010

This thesis studies cash and short term investments to net assets ratio of Finnish industrial companies during financial crisis, and how different firm specific and macro economical variables affect cash and short term investments. The data consists of quarter level interim reports. Regression analysis was used to find out the effects of different variables. Regression models were formed based on previous studies on cash holdings. It was found that firms studied held more cash during financial crisis than before it. Cash and short-term investments acted as substitute of net working capital. Leverage had a positive and significant relationship to cash and short term investment ratio. It was also found out that firms have a target cash and short term investments ratio.

Exchange rate volatility and the use of foreign currency derivatives: Impact of 2008 global financial crisis

This thesis examines the impact of foreign exchange rate volatility to the extent of use of foreign currency derivatives. Especially the focus is on the impacts of 2008 global financial crisis. The crisis increased risk level in the capital markets greatly. The change in the currency derivatives use is analyzed by comparing means between different periods and in addition, by linear regression that enables to analyze the explanatory power of the model. The research data consists of financial statements figures from fiscal years 2006-2011 published by firms operating in traditional Finnish industrial sectors. Volatilities of the chosen three currency pairs is calculated from the daily fixing rates of ECB. Based on the volatility the sample period is divided into three sub-periods. The results suggest that increased FX market volatility did not increase the use foreign currency derivatives. Furthermore, the increased foreign exchange rate volatility did not increase the power of linear regression model to estimate the use foreign currency derivatives compared to previous studies.