Capital structure of Finnish firms – Estimating the effects of firm characteristics on capital structure

One of the most disputable matters in the theory of finance has been the theory of capital structure. The seminal contributions of Modigliani and Miller (1958, 1963) gave rise to a multitude of studies and debates. Since the initial spark, the financial literature has offered two competing theories of financing decision: the trade-off theory and the pecking order theory. The trade-off theory suggests that firms have an optimal capital structure balancing the benefits and costs of debt. The pecking order theory approaches the firm capital structure from information asymmetry perspective and assumes a hierarchy of financing, with firms using first internal funds, followed by debt and as a last resort equity. This thesis analyses the trade-off and pecking order theories and their predictions on a panel data consisting 78 Finnish firms listed on the OMX Helsinki stock exchange. Estimations are performed for the period 2003–2012. The data is collected from Datastream system and consists of financial statement data. A number of capital structure characteristics are identified: firm size, profitability, firm growth opportunities, risk, asset tangibility and taxes, speed of adjustment and financial deficit. A regression analysis is used to examine the effects of the firm characteristics on capitals structure. The regression models were formed based on the relevant theories. The general capital structure model is estimated with fixed effects estimator. Additionally, dynamic models play an important role in several areas of corporate finance, but with the combination of fixed effects and lagged dependent variables the model estimation is more complicated. A dynamic partial adjustment model is estimated using Arellano and Bond (1991) first-differencing generalized method of moments, the ordinary least squares and fixed effects estimators. The results for Finnish listed firms show support for the predictions of profitability, firm size and non-debt tax shields. However, no conclusive support for the pecking-order theory is found. However, the effect of pecking order cannot be fully ignored and it is concluded that instead of being substitutes the trade-off and pecking order theory appear to complement each other. For the partial adjustment model the results show that Finnish listed firms adjust towards their target capital structure with a speed of 29% a year using book debt ratio.

Optimization and Applications of Large-Scale Biomedical Event Networks

The overwhelming amount and unprecedented speed of publication in the biomedical domain make it difficult for life science researchers to acquire and maintain a broad view of the field and gather all information that would be relevant for their research. As a response to this problem, the BioNLP (Biomedical Natural Language Processing) community of researches has emerged and strives to assist life science researchers by developing modern natural language processing (NLP), information extraction (IE) and information retrieval (IR) methods that can be applied at large-scale, to scan the whole publicly available biomedical literature and extract and aggregate the information found within, while automatically normalizing the variability of natural language statements. Among different tasks, biomedical event extraction has received much attention within BioNLP community recently. Biomedical event extraction constitutes the identification of biological processes and interactions described in biomedical literature, and their representation as a set of recursive event structures. The 2009–2013 series of BioNLP Shared Tasks on Event Extraction have given raise to a number of event extraction systems, several of which have been applied at a large scale (the full set of PubMed abstracts and PubMed Central Open Access full text articles), leading to creation of massive biomedical event databases, each of which containing millions of events. Sinece top-ranking event extraction systems are based on machine-learning approach and are trained on the narrow-domain, carefully selected Shared Task training data, their performance drops when being faced with the topically highly varied PubMed and PubMed Central documents. Specifically, false-positive predictions by these systems lead to generation of incorrect biomolecular events which are spotted by the end-users. This thesis proposes a novel post-processing approach, utilizing a combination of supervised and unsupervised learning techniques, that can automatically identify and filter out a considerable proportion of incorrect events from large-scale event databases, thus increasing the general credibility of those databases. The second part of this thesis is dedicated to a system we developed for hypothesis generation from large-scale event databases, which is able to discover novel biomolecular interactions among genes/gene-products. We cast the hypothesis generation problem as a supervised network topology prediction, i.e predicting new edges in the network, as well as types and directions for these edges, utilizing a set of features that can be extracted from large biomedical event networks. Routine machine learning evaluation results, as well as manual evaluation results suggest that the problem is indeed learnable. This work won the Best Paper Award in The 5th International Symposium on Languages in Biology and Medicine (LBM 2013).

A Comparative Study on the Homeroom Teachers’ Perception of the School guidance in Korea and Finland

This study has four major purposes. First, it compares school guidance of homeroom teachers in Korea and Finland, in order to understand the reality of education, based on the teachers’ perceptions. Secondly, it also considers the topic within its historical, social, and cultural backgrounds, from a critical standpoint. Thirdly, it investigates the direction of the improvement of school guidance, based on the analysis of similarities and differences between Korea and Finland, with regards to the meaning, practice, and environmental factors of the school guidance. Lastly, the influential factors surrounding the school guidance are noted by analysing empirical data from a microscopic approach, and extending the understanding of it into a social context. As for the methods, it employs thematic analysis approach through 10 homeroom teacher interviews in the lower secondary schools. As a result, firstly, the teachers in both countries assumed similarly, that the role of the teacher was not only to teach the subject, but also to care about every aspects of the students’ development in their school life. In addition, they accepted the fact that school guidance became more significant. However, the school guidance became the top priority for the Korean teachers, while teaching subject is the main task for the Finnish teachers. Secondly, the homeroom teachers in both countries hoped to have a better working environment, to perform school guidance concerning education budget for the resources of school guidance, tight curriculum, and increasing the teachers’ tasks. Thirdly, the school guidance in Korea seemed to be influenced by social expectation and government demand, whereas, the Finnish teachers considered school guidance in more aspects of adjustment and academic motivation, rather than resolving the social problems. Fourthly, the Korean teachers perceived that the trust and respect from the society and home became weakened, also expressing doubts about the educational policies and the attitude of the government with regards to school guidance. On the other hand, the Finnish teachers believed that they were trusted and respected by the society. However, blurred lines in the roles and accountability between the homeroom teachers, home, and the society were also controversial among the teachers in both countries. To sum up, Finland needs to ameliorate the system and conditions for school guidance of the homeroom teachers. The consensus on the role and tasks of Finnish homeroom teachers for school guidance seem to be also necessary. Meanwhile, Korea should improve the social system and social consciousness of the teacher, school guidance, and schooling, preceding the reform of the education system or conditions.