Russian Venture Capital Markets

Tämän työn tarkoituksena on arvioida riskipääomasijoittamisen kehitystä ja kasvua Venäjällä, sekä antaa kuva siihen vaikuttavista tekijöistä. Se myös arvioi Venäjän valtion toimintaa niin säätelijänä, kuin myös itsenäisenä sijoittajana. Saavutetut tulokset perustuvat haastatteluihin ja olemassa olevien tilastojen analysointiin. Vuoden 1998 rupla kriisin jälkeen riskipääomasijoittaminen lähti kasvuun joka on jatkunut tasaisella rauhallisella tahdilla. Alueellisista riskipääomarahastoista on siirrytty myös yksityisrahoitteisiin ja yksityishallinnoituihin rahastoihin omine kohde aloineen ja portfolioineen. Silti markkinat ovat säilyneet kyllästymättöminä. Kuluttajavetoiset toimialat ovat keränneet eniten investointeja talouden ja ostovoiman kasvusta johtuen. Alueellisesti Moskova erottuu sijoituskohteena, muiden suurempien kasvukeskusten seuratessa perässä. Venäjällä on vielä paljon heikkouksia jotka vaikuttavat sen houkuttelevuuteen sijoittajan näkökulmasta. Heikot instituutiot ja lainsäädäntö yhdistettynä riskipääomasijoittamisen luonteeseen tekevät Venäjästä arvaamattoman markkina-alueen. Se kuitenkin tarjoaa menestyville sijoittajille korkeat tuotot. Nähtäväksi jää kuinka valtion toiminta vaikuttaa markkinoiden kehitykseen lyhyellä ja pitkällä tähtäimellä, ja kuinka se onnistuu kehittämään Venäjän yleistä kilpailukykyä globaaleilla markkinoilla.

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.

Accounting Beta Measuring Systematic Risk: Empirical Evidence from the Finnish Markets

The main purpose of this study is to examine whether accounting-based variables can be used to measure systematic risk of a company using Finnish data. When the fundamental sources of systematic risk are known, companies are able to manage these risks and increase company value. Accounting beta was formed based on OLS regression models. Theoretical background for the study was based on the findings of studies according to which business risk, financial risk, operating risk and growth risk can be theoretically regarded as determinants of the systematic risk. The results reveal that accounting variables describe systematic risk of a company. The accounting beta is found to be particularly sensitive to the changes in the risk components. The investigation is confidential until 15.10.2012.

CRM system implementation for managing customer relationships in business-to-business markets

Tutkielman tavoitteena oli selvittää, kuinka CRM-järjestelmä otetaan käyttöön asiakkuuksienhallinnan tueksi yritysten välisillä markkinoilla. Tutkielma keskittyy erityisesti käyttöönoton varhaisiin vaiheisiin selvittämällä, mikä on järjestelmien rooli asiakkuudenhallinnassa ja miten ne tukevat erilaisia käyttäjätasoja, jotka työssä jaettiin strategiseksi, operatiiviseksi ja analyyttiseksi tasoksi. Lisäksi työ esittelee käyttöönottoon yleisimmin liittyviä sudenkuoppia. Tutkielma on laadullinen tutkimus ja siinä on kuvattu CRM-järjestelmän käyttöönottoon liittyviä kysymyksiä yritysten välisillä markkinoilla toimivan caseyrityksen näkökulmasta. Tutkimuksessa havaittiin, että CRM-järjestelmän onnistunut käyttöönotto vaatii mahdollisimman yksinkertaista ja helppokäyttöistä järjestelmää. Käyttöönoton ei myöskään tulisi vaatia monimutkaista koulutusta, vaikkakin koulutusten tärkeys tunnistettiin. Tutkimus osoitti, että vaikka tämänhetkiset CRM-järjestelmät keskittyvät enemmän yksityiskohtaisten asiakasanalyysien tekoon, järjestelmä voi myös palvella asiakkaisiin liittyvän tiedon yhteisenä tallennus- ja jakamispaikkana. Lisäksi tutkimuksessa todettiin, että useimmiten potentiaaliset sudenkuopat olivat luonteeltaan hyvin käytännönläheisiä, kuten järjestelmän käyttämättömyys sekä huono motivointi ja sitouttaminen.

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.

Developing markets of energy biomass – local and global perspectives

The thesis explores global and national-level issues related to the development of markets for biomass for energy. The thesis consists of five separate papers and provides insights on selected issues. The aim of Paper I was to identify methodological and statistical challenges in assessing international solid and liquid biofuels trade and provide an overview of the Finnish situation with respect to the status of international solid and liquid biofuels trade. We found that, for the Finnish case, it is possible to qualify direct and indirect trade volumes of biofuels. The study showed that indirect trade of biofuels has a highly significant role in Finland and may be a significant sector also in global biofuels trade. The purpose of Paper II was to provide a quantified insight into Finnish prospects for meeting the national 2020 renewable energy targets and concurrently becoming a largescale producer of forest-biomass-based second-generation biofuels for feeding increasing demand in European markets. We found that Finland has good opportunities to realise a scenario to meet 2020 renewable energy targets and for large-scale production of wood-based biofuels. The potential net export of transport biofuels from Finland in 2020 would correspond to 2–3% of European demand. Paper III summarises the global status of international solid and liquid biofuels trade as illuminated by several separate sources. International trade of biofuels was estimated at nearly 1 EJ for 2006. Indirect trade of biofuels through trading of industrial roundwood and material by-products comprises the largest proportion of the trading, with a share of about two thirds. The purpose of Paper IV was to outline a comprehensive picture of the coverage of various certification schemes and sustainability principles relating to the entire value-added chain of biomass and bioenergy. Regardless of the intensive work that has been done in the field of sustainability schemes and principles concerning use of biomass for energy, weaknesses still exist. The objective of Paper V was to clarify the alternative scenarios for the international biomass market until 2020 and identify the underlying steps needed toward a wellfunctioning and sustainable market for biomass for energy purposes. An overall conclusion drawn from this analysis concerns the enormous opportunities related to the utilisation of biomass for energy in the coming decades.

DIGITAL BUSINESS-TO-BUSINESS MARKETING COMMUNICATIONS IN EMERGING MARKETS – Developing Business Marketing in Russia

The core idea of this Master's Thesis was that five key characteristics – market heterogeneity, sociopolitical governance, chronic shortage of resources, unbranded competition, and inadequate infrastructure – of emerging markets are radically different from the traditional industrialized capitalist society and they will require us to rethink the core assumptions of business-to-business marketing, such as business relationships, marketing communication elements, and digitalization. In this research, Russia is considered to be an emerging market that reflects the aforementioned theoretical characteristics. The research was a qualitative case study and furthermore a collective case study. In the beginning three digital marketing professionals were interviewed to better understand digital B2B marketing. The actual research data was collected through seven structured theme interviews with representatives of the case companies operating in Russia. The selection of case companies included three business consulting companies and four industrial companies. The aim of this qualitative study was to understand and clarify how business marketing exploits digital marketing methods as a part of the chosen business marketing strategy under emerging markets’ special conditions. This objective was divided in three research questions: 1) How the chosen marketing strategy reflects in the business marketing process? 2) How digital marketing communication contributes to business marketing? 3) How are the emerging markets’ characteristics reflected in the business marketing process? The main research findings indicate that digital business-to-business marketing communications can be useful and effective. Moreover, business DMC can be defined and structured in a reasonable way. The company's prevalent marketing paradigm and the chosen marketing strategy reflect in the business marketing process, and in utilizing digital marketing communications. The assumption that emerging markets set an environment with special characteristics for business marketing was supported by the study. However, the business environmental aspects were not considerably disturbing digital B2B marketing, but making it even more reasonable to harness in Russia.

Interdependence of Emerging Eastern European stock markets

One of the main developments in the global economy during the past decades has been the growth of emerging economies. Projections for their long-term growth, changes in the investment climate, corporate transparency and demography point to an increasing role for these emerging economies in the global economy. Today, emerging economies are usually considered as financial markets offering opportunities for high returns, good risk diversification and improved return-to-risk ratios. However, researchers have noted that these advantages may be in decline because of the increasing market integration. Nevertheless, it is likely that certain financial markets and specific sectors will remain partially segmented and somewhat insulated from the global economy for the year to come. This doctoral dissertation investigates several stock markets in Emerging Eastern Europe (EEE), including the ones in Russia, Poland, Hungary, the Czech Republic, Bulgaria and Slovenia. The objective is to analyze the returns and financial risks in these emerging markets from international investor’s point of view. This study also examines the segmentation/integration of these financial markets and the possibilities to diversify and hedge financial risk. The dissertation is divided into two parts. The first includes a review of the theoretical background for the articles and a review of the literature on EEE stock markets. It includes an overview of the methodology and research design applied in the analysis and a summary of articles from the second part of this dissertation and their main findings. The second part consists of four research publications. This work contributes to studies on emerging stock markets in four ways. First, it adds to the body of research on the pricing of risk, providing new empirical evidence about partial stock market segmentation in EEE. The results suggest that the aggregate emerging market risk is a relevant driver for stock market returns and that this market risk can be used to price financial instruments and forecast their performance. Second, it contributes to the empirical research on the integration of stock markets, asset prices and exchange rates by identifying the relationships between these markets through volatility and asset pricing. The results show that certain sectors of stock markets in EEE are not as integrated as others. For example, the Polish consumer goods sector, the Hungarian telecommunications sector, and the Czech financial sector are somewhat isolated from their counterparts elsewhere in Europe. Nevertheless, an analysis of the impact of EU accession in 2004 on stock markets suggests that most of the EEE markets are becoming increasingly integrated with the global markets. Third, this thesis complements the scientific literature in the field of shock and volatility spillovers by examining the mechanism of spillover distribution among the EU and EEE countries. The results illustrate that spillovers in emerging markets are mostly from a foreign exchange to the stock markets. Moreover, the results show that the effects of external shocks on stock markets have increased after the enlargement of the EU in 2004. Finally, this study is unique because it analyzes the effects of foreign macroeconomic news on geographically closely related countries. The results suggest that the effects of macroeconomic announcements on volatility are significant and have effect that varies across markets and their sectors. Moreover, the results show that the foreign macroeconomic news releases, somewhat surprisingly, have a greater effect on the EEE markets than the local macroeconomic news. This dissertation has a number of implications for the industry and for practitioners. It analyses financial risk associated with investing in Emerging Eastern Europe. Investors may use this information to construct and optimize investment portfolios. Moreover, this dissertation provides insights for investors and portfolio managers considering asset allocation to protect value or obtain higher returns. The results have also implications for asset pricing and portfolio selection in light of macroeconomic news releases.

Sovereign Credit Rating Announcements and Equity Market Response: Evidence from the European Markets

This thesis examines the equity market reactions on credit rating announcements. The study covers 12 European countries during the period of 2000-2012. By using an event study methodology and daily collected stock market returns, the impact of the sovereign credit rating announcements to national stock indices is examined. The thesis finds evidence for the rating downgrades having a statistically significant negative effect on the stock markets. This finding is in line with earlier literature (see Brooks, 2004). The paper also discusses whether the changes in the sovereign credit ratings are contagious, anticipated by the market, and persistent. There is some evidence found for the contagion effects in case of downgrades, but not for upgrades. Markets seem to anticipate rating upgrades, but not downgrades. In addition, market´s reaction towards rating announcements seems not to be persistent.

The Use of Systematic Value Strategies in Separating the Winners from the Losers: Evidence from the Finnish Markets

This study examines the Magic Formula and ERP5 value strategies in the Finnish stocks markets. Magic Formula ranks stocks based on EV/EBIT and ROA and ERP5 based on EV/EBIT, ROA, P/B and five-year trailing ROA. The purpose of the study is to examine whether the value strategies can be used to generate excess returns over the market index. The data has been collected from the Datastream database for the sample period from May 1997 to May 2010 and consists of the companies listed on the main list of Helsinki Stock Exchange. This study confirms the findings of previous research that value premium exists in the Finnish stock markets and that systematic value strategies can be used to form portfolios that outperform the market index with lower volatility.

The Impact of European Macroeconomic News Announcements on CIVETS Stock Markets

The purpose of this research is to investigate how CIVETS (Colombia, Indonesia, Vietnam, Egypt, Turkey and South Africa) stock markets are integrated with Europe as measured by the impact of euro area (EA) scheduled macroeconomic news announcements, which are related to macroeconomic indicators that are commonly used to indicate the direction of the economy. Macroeconomic announcements used in this study can be divided into four categories; (1) prices, (2) real economy, (3) money supply and (4) business climate and consumer confidence. The data set consists of daily market data from CIVETS and scheduled macroeconomic announcements from the EA for the years 2007-2012. The econometric model used in this research is Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH). Empirical results show diverse impacts of macroeconomic news releases and surprises for different categories of news supporting the perception of heterogeneity among CIVETS. The analyses revealed that in general EA macroeconomic news releases and surprises affect stock market volatility in CIVETS and only in some cases asset pricing. In conclusion, all CIVETS stock markets reacted to the incoming EA macroeconomic news suggesting market integration to some extent. Thus, EA should be considered as a possible risk factor when investing in CIVETS.

Customer Segmentation in Industrial Markets - CASE: Labelstock Company

The aim of this thesis is to study segmentation in industrial markets and develop a segmenting method proposal and criteria case study for a labelstock manufacturing company. An industrial company is facing many different customers with varying needs. Market segmentation is a process for dividing a market into smaller groups in which customers have the same or similar needs. Segmentation gives tools to the marketer to better match the product or service more closely to the needs of the target market. In this thesis a segmentation tool proposal and segmenting criteria is case studied for labelstock company’s Europe, Middle East and Africa business area customers and market. In the developed matrix tool different customers are planned to be evaluated based on customer characteristic variables. The criteria for the evaluating matrix are based on the customer’s buying organizations characteristics and buying behaviour. There are altogether 13 variables in the evaluating matrix. As an example of variables there are loyalty, size of the customer, estimated growth of the customer purchases and customer’s decision-making and buying behaviour. These characteristic variables will help to identify market segments to target and the customers belonging to those segments.