Financial and Environmental Impacts of a Dry Port to Facilitate Competitiveness of Two Major Transit Seaports of Finland

Environmental problems and issues have received more and more attention during the last decades. Reasons for this are different increased external costs such as congestion, CO2 emission, noise and accident costs. Transportation sector is the only sector with increasing external costs. The EU will increase its attention in decreasing the external costs of transport. Aim of this research was to find out if a dry port solution could decrease costs of transport, especially external costs. Dry port concept is an intermodal transport system, where inland transport between port and dry port is performed by rail transport instead of traditional road transport. In addition, dry ports offer similar services as ports. Research is conducted by performing a literature review about dry port concept and costs of transport, especially external costs of transport. Financial and environmental impacts of the dry port concept are studied by comparing costs of road and rail transport by cost accounting and with a simulation model. Location of dry port is researched with gravitational models. Results of the literature review are that rail transport is environmentally friendlier mode of transport than road transport. Cost model and simulation model show that if only costs of freight movement are considered, rail transport is more inexpensive transport mode than road transport in terms of internal and external costs. Because of that dry port concept could decrease costs of transport, especially external costs. Results of gravitational models are that city of Kouvola is in a good position to be a dry port. Russian transit traffic through Finland improves location of Kouvola to be a dry port.

The determination of EONIA rate: The impact of the financial crisis and the effects of the changes in the monetary policy implementation framework

EONIA is a market based overnight interest rate, whose role as the starting point of the yield curve makes it critical from the perspective of the implementation of European Central Bank´s common monetary policy in the euro area. The financial crisis that started in 2007 had a large impact on the determination mechanism of this interest rate, which is considered as the central bank´s operational target. This thesis examines the monetary policy implementation framework of the European Central Bank and changes made to it. Furthermore, we discuss the development of the recent turmoil in the money market. EONIA rate is modelled by means of a regression equation using variables related to liquidity conditions, refinancing need, auction results and calendar effects. Conditional volatility is captured by an EGARCH model, and autocorrelation is taken into account by employing an autoregressive structure. The results highlight how the tensions in the initial stage of the market turmoil were successfully countered by ECB´s liquidity policy. The subsequent response of EONIA to liquidity conditions under the full allotment liquidity provision procedure adopted after the demise of Lehman Brothers is also established. A clear distinction in the behavior of the interest rate between the sub-periods was evident. In the light of the results obtained, some of the challenges posed by the exit-strategy implementation will be addressed.

Determinants of credit default swap spread, the effect of the financial crisis in the us markets

The purpose of this study is to define what determinants affect the Credit spread. There are two theoretical frameworks to study this: structural models and reduced form models. Structural models indicate that the main determinants are company leverage, volatility and risk-free interest rate, and other market and firm-specific variables. The purpose is to determine which of these theoretical determinants can explain the CDS spread and also how these theoretical determinants are affected by the financial crisis in 2007. The data is collected from 30 companies in the US Markets, mainly S&P Large Cap. The sample time-frame is 31.1.2004 – 31.12.2009. Empirical studies indicate that structural models can explain the CDS spreads well. Also, there were significant differences between bear and bull markets. The main determinants explaining CDS spreads were leverage and volatility. The other determinants were significant, depending on the sample period. However, these other variables did not explain the spread consistently.

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.

Financial performance of segments in the intelligent home network

The goal of this study is to examine the intelligent home business network in order to determine which part of the network has the best financial abilities to produce new business models and products/services by using financial statement analysis. A group of 377 studied limited companies is divided into four examined segments based on their offering in producing intelligent homes. The segments are customer service providers, system integrators, subsystem suppliers and component suppliers. Eight different key figures are calculated from each of the companies to get a comprehensive view of their financial performances, after which each of the segments is studied statistically to determine the performances of the whole segments. The actual performance differences between the segments are calculated by using the multi-criteria decision analysis method in which the performances of the key figures are graded and each key figure is weighted according to its importance for the goal of the study. The results of this analysis showed that subsystem suppliers have the best financial performance. Second best are system integrators, third are customer service providers and fourth component suppliers. None of the segments were strikingly poor, but even component suppliers were rather reasonable in their performance; so, it can be said that no part of the intelligent home business network has remarkably inadequate financial abilities to develop new business models and products/services.

IT Financial Management In a Large Industrial Company

IT Service Management plays a key role in many IT organizations today. First IT Service Management principles founded in the early 1980s but the real adaption emerged in the end 2000s. IT Financial Management is one of IT Service Management’s processes. The main purpose of this thesis was study how IT Financial Management approach can be improved in a case company. Budgeting, accounting and charging are IT Financial Management functions. These functions are researched in this thesis. Thesis materials consist of both qualitative and quantitative material. The theoretical part consists mostly of IT Service Management literature while interviews and the case company’s information systems are researched in the empirical part. Thesis also reviews different kind of the systems which supports and automates IT Financial Management functions. The biggest challenge is the cost allocation with the current ERP system in the case company. It is worth to take group based system for allocation in use before there is a holistic system in a market. The case company should also develop its IT service processes forward.

From Fluid Dynamics to Human Psychology.What Drives Financial Markets Towards Extreme Events

For decades researchers have been trying to build models that would help understand price performance in financial markets and, therefore, to be able to forecast future prices. However, any econometric approaches have notoriously failed in predicting extreme events in markets. At the end of 20th century, market specialists started to admit that the reasons for economy meltdowns may originate as much in rational actions of traders as in human psychology. The latter forces have been described as trading biases, also known as animal spirits. This study aims at expressing in mathematical form some of the basic trading biases as well as the idea of market momentum and, therefore, reconstructing the dynamics of prices in financial markets. It is proposed through a novel family of models originating in population and fluid dynamics, applied to an electricity spot price time series. The main goal of this work is to investigate via numerical solutions how well theequations succeed in reproducing the real market time series properties, especially those that seemingly contradict standard assumptions of neoclassical economic theory, in particular the Efficient Market Hypothesis. The results show that the proposed model is able to generate price realizations that closely reproduce the behaviour and statistics of the original electricity spot price. That is achieved in all price levels, from small and medium-range variations to price spikes. The latter were generated from price dynamics and market momentum, without superimposing jump processes in the model. In the light of the presented results, it seems that the latest assumptions about human psychology and market momentum ruling market dynamics may be true. Therefore, other commodity markets should be analyzed with this model as well.

Financial losses in pork supply chain: a study of the pre-slaughter handling impacts

Brazil is amongst the world’s largest swine producers. However, its competitiveness has been vulnerable due to a lack of cooperation between the supply chain players. This condition makes the financial losses to be evaluated taking into account only an individual node, and most of the time, these damages are imputed by swine breeders. Living weight losses occur between the farm to slaughterhouses, and the main cause of these losses is the pre-slaughter handling, especially during animal transportation. In this research, we analyzed the pre-slaughter handling in a swine farm in Brasilândia, MS, Brazil. Analyzed data were provided by five slaughterhouses (farm clients) from the studied region, in which it was considered living weight losses, carcass bruising, animal injury, and death rate. The results indicated that total financial losses represent 160 thousand dollars per year, when taking into account the supply chain management.

CORPORATE SOCIAL RESPONSIBILITY from theory into financial statement: UPM-Kymmene Oyj

For number of reasons social responsibility in corporations has become a more essential part of business operations than before. Corporate social responsibility (CSR) is dealt with different means and aspects but the overall effects it has on organisations performance, communication and underline actions is indisputable. The thesis describes corporate social responsibility and the main objective was to observe how corporate social responsibility has developed in our case company with answering to main research question how CSR reporting has evolved in UPM-Kymmene Oyj? In addition following questions were also addressed: Is there a monetary value of CSR? What does proficient CSR report consist of? What does corporate social responsibility consist of? Qualitative research method, content analysis to be precise, was chosen and excessive literature study performed to find the theoretical back ground to perform the empirical part of the study. Data for the empirical part was collected from UPM-Kymmene Oyj financial data and annual reports. The study shows that UPM-Kymmene Oyj engagement to CSR and reporting of CSR matter have improved due time but still few managerial implications could be found. UPM-Kymmene Oyj economic key figures are only building shareholder value and stakeholders are identified in very general level. Also CSR data is scattered all over the annual report which causes problems to readers. The scientific importance of this thesis arises from the profound way CSR has been addressed in a holistic manner. Thus it is giving a good basis to understand the underlying reasons of CSR from society towards the organisation and vice versa.

CSR standards and financial performance in forest industry - Empirical analysis

The definition of corporate social responsibility (CSR) has been developed since 1950s but even today there is no consensus what CSR includes. The main purpose of this thesis was to find out whether financial performance is better among first adopters of CSR standards in forest industry. To support the main purpose it was critical also investigate what kind of companies adopt CSR standards. The empirical part of the thesis based on a survey which was done in 2010 to forest industry companies and financial data that was gathered from different databases from years 2003-2010. According to the research results it seems the early CSR standards adopters benefits the position of the first adopter many times. Especially cash position and solvency of early adopter companies were better than later adopters or those who did not adopt CSR standards at all. Profitability seemed to be better among CSR standards adopters but early adopters did not have significantly better position compared to later adopters. CSR standards adopters were companies that considered themselves as environmental performance pioneers and had employee oriented management.

Earnings management in the process of preparing corporate financial reports

Earnings management (EM) literature examines managers’ use of judgment in financial reporting and in structuring transactions to alter financial reports for a specific reason. Mainstream EM literature strongly concentrates on statistical research methodologies and it is driven by positive accounting theory. Although EM occurs in the process of preparing corporate financial reports, that process has so far largely remained a “black box” in prior literature. The purpose of this study is to analyze what EM is, how and why it unfolds and how it is intertwined in the process of preparing corporate financial reports. In order to meet the needs of the study, a qualitative case study method will be used. The contribution of this study is threefold. First, it indicates that the concept of EM is not as unam-biguous as the prior literature has assumed. I find that EM is socially constructed and more open to interpretation than absolutely dichotomous conception given by previous studies. Second, this study contributes to our knowledge of the role and the importance of actors involved in conducting EM, indicating that EM is much more actor-dependent than the prior literature has assumed. Third, this study broadens our knowledge base with regard to the processes and potential for EM in academic research.