Brand Communication Strategy of E-commerce SMEs in Chinese Cosmetics Market

This study concentrates on how to develop a brand communication strategy for ecommerce SMEs in Chinese cosmetic market with new media channels. This study is a qualitative research. Data collection consists of primary data and secondary data. Primary data is from the case company’s websites, observation of benchmarked companies and observation of the case company. Secondary data will be collected from relevant websites and reliable databases. In order to explore the research questions, comparative benchmarking was conducted to develop brand communication strategy for case company April. The results of the study illustrate that e-commerce SMEs have to consider brand positioning strategy, brand awareness strategy, brand attitude strategy, brand media strategy and the brand benefits as well to develop brand communication strategy.

The sources of complementary competitive advantages for systems’ manufacturers in the aircraft modernization market

Being a top of high technology industries, the aerospace represents one of the most complex fields of study. While the competitiveness of aircraft systems’ manufacturers attracts a significant number of researchers, some of the issues remain to be a blank spot. One of those is the after-sale modernization. The master thesis investigates how this concept is related to the theory of competitive advantages. Finding the routes in the framework of complex technological systems’ lifecycle, the key drivers of the aircraft modernization market are revealed. The competitive positioning of players is defined through multiple case studies in a form of several in-depth interviews. The key result of the research is the conclusion that modernization should be considered as an inherent component of strategy of any aircraft systems’ manufacturer, while the master thesis aims to support managerial decision making.

Finnish buyers’ perceptions of Indian textile and clothing suppliers: Country of origin in focus

Choosing the right supplier is crucial for long-term business prospects and profitability. Thus organizational buyers are naturally very interested in how they can select the right supplier for their needs. Likewise, suppliers are interested in knowing how their customers make purchasing decisions in order to effectively sell and market to them. From the point of view of the textile and clothing (T&C) industry, regulatory changes and increasing low-cost and globalization pressures have led to the rise of low-cost production locations India and China as the world’s largest T&C producers. This thesis will examine T&C trade between Finland and India specifically in the context of non-industrial T&C products. Its main research problem asks: what perceptions do Finnish T&C industry buyers hold of India and Indian suppliers? B2B buyers use various supplier selection models and criteria in making their purchase decisions. A significant amount of research has been done into supplier selection practices, and in the context of international trade, country of origin (COO) perceptions specifically have garnered much attention. This thesis uses a mixed methods approach (online questionnaire and in-depth interviews) to evaluate Finnish T&C buyers’ supplier selection criteria, COO perceptions of India and experiences of Indian suppliers. It was found that the most important supplier selection criteria used by Finnish T&C buyers are quality, reliability and cost. COO perceptions were not found to be influential in purchasing process. Indian T&C suppliers’ strengths were found to be low cost, flexibility and a history of traditional T&C expertise. Their weaknesses include product quality and unreliable delivery times. Overall, the main challenges that need to be overcome by Indian T&C companies are logistical difficulties and the cost vs. quality trade-off. Despite positive perceptions of India for cost, the overall value offered by Indian T&C products was perceived to be low due to poor quality. Unreliable delivery time experiences also affected buyer’s reliability perceptions of Indian suppliers. The main limiting factors of this thesis relate to the small sample size used in the research. This limits the generalizability of results and the ability to evaluate the reliability and validity of some of the research instruments.

The Anchoring Bias of Investors and the 52-Week High Momentum Strategy in the OMX Helsinki Stock Exchange: Psychological Approach to Market Efficiency

The behavioural finance literature expects systematic and significant deviations from efficiency to persist in securities markets due to behavioural and cognitive biases of investors. These behavioural models attempt to explain the coexistence of intermediate-term momentum and long-term reversals in stock returns based on the systematic violations of rational behaviour of investors. The study investigates the anchoring bias of investors and the profitability of the 52-week momentum strategy (GH henceforward). The relatively highly volatile OMX Helsinki stock exchange is a suitable market for examining the momentum effect, since international investors tend to realise their positions first from the furthest security markets by the time of market turbulence. Empirical data is collected from Thomson Reuters Datastream and the OMX Nordic website. The objective of the study is to provide a throughout research by formulating a self-financing GH momentum portfolio. First, the seasonality of the strategy is examined by taking the January effect into account and researching abnormal returns in long-term. The results indicate that the GH strategy is subject to significantly negative revenues in January, but the strategy is not prone to reversals in long-term. Then the predictive proxies of momentum returns are investigated in terms of acquisition prices and 52-week high statistics as anchors. The results show that the acquisition prices do not have explanatory power over the GH strategy’s abnormal returns. Finally, the efficacy of the GH strategy is examined after taking transaction costs into account, finding that the robust abnormal returns remain statistically significant despite the transaction costs. As a conclusion, the relative distance between a stock’s current price and its 52-week high statistic explains the profits of momentum investing to a high degree. The results indicate that intermediateterm momentum and long-term reversals are separate phenomena. This presents a challenge to current behavioural theories, which model these aspects of stock returns as subsequent components of how securities markets respond to relevant information.

Launching the product innovation to a market: case study from a dairy industry

In the environment of ever-changing needs of customers, technologies and competitors, the survival of the company depends on how well it researches, develops and implements new products to the market. The need for development of new products relates to many factors: globalization, international competition which is now underway on a global scale, scientific advances and development of production, changes in consumer preferences and consumer behavior. In this study the focus is on the company form a dairy products industry. This study is aimed to defining the role of product innovation launch strategy in an overall enterprise strategy, and to select the optimal combination of its marketing tools. The main purpose of this study is to determine place and the role of innovative marketing based in the innovation process, and to determine launch and positioning strategies in the general concept of an innovative product. The object of the study is the Russian enterprise, which is aimed to achieve a competitive advantage through the continuous production of new products, upgrade existing ones and improve innovation management practices. Research showed that the differentiation strategy is suitable for launching the dairy industry product innovation to a market.

Nordic banks’ entry into the Russian market: motives, processes and challenges

The importance of services in the global economy has grown steadily in the past decades and the growth of services sector’s direct investments has been increasing. Nowadays, all companies are influenced by the much changing global environment and the financial services companies are no exception. The internationalization of financial services companies is an expanding and accelerating phenomenon which has various motivations. The overall aim of this thesis is to shed light on the market entry processes of the Nordic financial services companies when they have entered the Russian market. In this study, the factors affecting Nordic banks’ market entry to Russia are presented in order to better understand what have been the main motives for market entry, what kind of processes the banks have used and what kind of challenges they have faced along the way. A case study approach was used in conducting the empirical research and it aims at investigating a specific case: Nordic banks’ entry into the Russian market. The empirical research was carried out by conducting qualitative interviews for employees involved in entry processes of the case banks. These interviews aimed at examining the Nordic banks’ motives for entering the Russian financial market. This includes reflections on the reasons why the studied banks have decided to enter Russia and what have been the motives behind these decisions. Also, the market entry processes the banks have used when they have entered the Russian market were investigated. The findings allowed comparing the related theories and different market entry modes the case banks have used. Furthermore, the market-related challenges faced by the case banks were mapped and described. In addition, the main factors related to the entry processes of the studied banks were identified and key elements of successful market entry were mapped. The findings suggest that the main motivator for banks have been to follow their customers and hence, increase the revenues and add the value to the shareholders; consequently, being a win-win-win situation to all the related parties. It was also discovered that the banks market entry processes have had resemblances but the banks have taken different paths to get where they are nowadays. As the Russian market environment differs from the one in Nordic countries, also challenges were faced by the case banks. However, the internal challenges were considered more troublesome than the external ones. As the foreign market entry process is complex as well as time and resources consuming, it is vital to understand the specifics of the target market, organizational capabilities and individuals enabling a successful entry process.

Assessment of purchasing maturity in spare parts supply chain

To describe the change of purchasing moving from administrative to strategic function academics have put forward maturity models which help practitioners to compare their purchasing activities to industry top performers and best practices. However, none of the models aim to distinguish the purchasing maturity from the after-sales point of view, even though after-sales activities are acknowledged as a relevant source of revenue, profit and competitive advantage in most manufacturing firms. The maturity of purchasing and supply management practices have a large impact to the overall performance of the spare parts supply chain and ultimately to the value creation and relationship building for the end customer. The research was done as a case study for a European after-sales organization which is part of a globally operating industrial firm specialized in heavy machinery. The study mapped the current state of the purchasing practices in the case organization and also distinguished the relevant areas for future development. The study was based on the purchasing maturity model developed by Schiele (2007) and investigated also how applicable is the maturity model in the spare parts supply chain context. Data for the assessment was gathered using five expert interviews inside the case organization and other parties involved in the company’s spare parts supply chain. Inventory management dimension was added to the original maturity model in order to better capture the important areas in a spare parts supply chain. The added five questions were deduced from the spare parts management literature and verified as relevant areas by the case organization’s personnel. Results indicate that largest need for development in the case organization are: better collaboration between sourcing and operative procurement functions, use of installed base information in the spare parts management, training plan development for new buyers, assessment of aligned KPI’s between the supply chain parties and better defining the role of after-sales sourcing. The purchasing maturity model used in this research worked well in H&R Leading, Controlling and Inventory Management dimensions. The assessment was more difficult to conduct in the Supplier related processes, Process integration and Organizational structure –dimensions, mainly because the assessment in these sections would for some parts require more company-wide assessment. Results indicate also that the purchasing maturity model developed by Schiele (2007) captures the relevant areas in the spare parts supply as well.

The Finnish Electronic Library - Basic Research Infrastructure

Kristiina Hormia-Poutasen esitys KRE-konferenssissa 2013.

Market integration, return and volatility dynamics; empirical evidence from African stock markets

Frontier and Emerging economies have implemented policies with the objective of liberalizing their equity markets. Equity market liberalization opens the domestic equity market to foreign investors and as well paves the way for domestic investors to invest in foreign equity securities. Among other things, equity market liberalization results in diversification benefits. Moreover, equity market liberalization leads to low cost of equity capital resulting from the lower rate of return by investors. Additionally, foreign and local investors share any potential risks. Liberalized equity markets also become liquid considering that there are more investors to trade. Equity market liberalization results in financial integration which explains the movement of two markets. In crisis period, increased volatility and co-movement between two markets may result in what is termed contagion effects. In Africa, major moves toward financial liberalization generally started in the late 1980s with South Africa as the pioneer. Over the years, researchers have studied the impact of financial liberalization on Africa’s economic development with diverse results; some being positive, others negative and still others being mixed. The objective of this study is to establish whether African stock-markets are integrated into the United States (US) and World market. Furthermore, the study helps to see if there are international linkages between the Africa, US and the world markets. A Bivariate- VAR- GARCH- BEKK model is employed in the study. In the study, the effect of thin trading is removed through series of econometric data purification. This is because thin trading, also known as non-trading or inconsistency of trading, is a main feature of African markets and may trigger inconsistency and biased results. The study confirmed the widely established results that the South Africa and Egypt stock markets are highly integrated with the US and World market. Interestingly, the study adds to knowledge in this research area by establishing the fact that Kenya is very integrated with the US and World markets and that it receives and exports past innovations as well as shocks to and from the US and World market.

Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.

Kuljetustensuunnittelu- ja reitinoptimointiohjelmiston kaupallistamiseen vaikuttavat keskeiset ominaisuudet

Ajoneuvojen reititystä on tutkittu 1950-luvulta asti, alunperin etsiessä polttoainekuljetuksille optimaalisinta reittiä varastolta useille palveluasemille. Siitä lähtien ajoneuvon reititystehtäviä on tutkittu akateemisesti ja niistä on muodostettu kymmeniä erilaisia variaatioita. Tehtävien ratkaisumenetelmät jaetaan tyypillisesti tarkkoihin menetelmiin sekä heuristiikkoihin ja metaheuristiikkoihin. Konetehon ja heuristiikoissa käytettävien algoritmien kehittymisen myötä reitinoptimointia on alettu tarjota kaupallisesti. CO-SKY-projektin tavoitteena on kaupallistaa web-pohjainen tai toiminnanohjausjärjestelmään integroitava ajoneuvon reititys. Diplomityössä tutkitaan kuljetustensuunnittelu- ja reitinoptimointiohjelmistojen kaupallistamiseen vaikuttavia keskeisiä ominaisuuksia. Ominaisuuksia on tarkasteltu: 1) erityisesti pk-kuljetusyritysten tarpeiden ja vaatimusten pohjalta, ja 2) markkinoilla olevien ohjelmistojen tarjontaa arvioiden. Näiden pohjalta on myös pyritty arvioimaan kysynnän ja tarjonnan kohtaamista. Pilottiasiakkaita haastattelemalla ohjelmistolle on kyetty asettamaan vaatimuksia, mutta samalla on kuultu käyttäjien mielipiteitä optimoinnista. Lukuisia logistiikkaohjelmistojen tarjoajia on haastateltu logistiikkamessuilla sekä Suomessa että Saksassa. Haastattelujen perusteella on saatu käsitys kyseisistä ohjelmista sekä optimoinnin tarjonnasta että kysynnästä. Akateeminen tutkimus aiheesta on laajaa, koskien niin teknistä toteutusta kuin myös (kysely-)tutkimuksia tarjolla olevien ohjelmistojen ominaisuuksista ja laadusta. Kuljetusyritysten tarpeissa on vaihtelua yritys- ja alakohtaisesti. Perusongelmat ovat samoja, joita reitinoptimoinnin akateemisessa tutkimuksessa käsitellään ja joita kaupalliset ohjelmistot pystyvät ratkaisemaan. Vaikka reitinoptimoinnilla saatavat hyödyt ovat mitattavissa, suunnittelu etenkin pk-yrityksissä tehdään pääosin yhä käsin. Messuhaastattelujen ja loppukäyttäjien mielipiteiden perusteella voidaan todeta kaupallisten ratkaisujen olevan suunniteltu isommille kuljetusyrityksille: tyypillisen it-projektin hinta, käyttöönottoaika ja asennus sekä ratkaisun takaisinmaksuaika vaikuttavat pk-yritysten hankintapäätökseen. Kaupallistamiseen liittyen haasteet liittyvät erityisesti segmentointiin ja markkinointiin asiakasarvon todentamisen ja sen välittämisen kautta.

Kuivajätehuollon hiilijalanjälki ja kustannukset sekä kuljetusten kilpailutus – Etelä-Karjalan aluekeräyspisteverkoston päivitys

Tutkimuksen tavoitteena oli yhtenäistää Etelä-Karjalan alueen erilaisia tapoja toimia alueke-räyksen suhteen. Aluekeräyksellä tarkoitetaan jätteiden keräystä pisteiltä, joihin kotitaloudet, jotka eivät kuulu kiinteistökohtaiseen keräykseen, voivat tuoda syntypaikkalajitellun kuiva- eli sekajätteensä. Tavoitteena oli myös saada tietoa siitä, minkälaiset ovat eri kuivajätehuoltovaihtoehtojen ilmastonmuutos- ja kustannusvaikutukset. Lisäksi tavoitteena oli selvittää, miten ympäristönäkökohdat voidaan ottaa huomioon kuljetuskilpailutuksissa. Tutkimuksessa kerättiin tietoa internetistä, opinnäytetöistä ja tieteellisistä artikkeleista sekä yritysten edustajilta. Kasvihuonekaasupäästöjen laskennassa hyödynnettiin GaBi 6.0 -elinkaariarviointiohjelmaa. Tutkimuksen perusteella aluekeräyspisteet kannattaa sijoittaa reiteille, joita asukkaat käyttävät vähintään kerran viikossa ja mitkä ovat optimaalisesti myös kuljetusurakoitsijan kannalta. Taajama-alueelle ei nähty suositeltavaksi sijoittaa aluekeräyspisteitä. Suositeltavina astioina aluekeräyspisteille nähtiin syväkeräyssäiliöt, joiden tyhjennys onnistuu samalla keräyskalustolla kuin kiinteistöjen jäteastioiden, kun ajoneuvo on varustettu puominosturilla. Suositeltavaksi nähtiin myös harventaa jäteastioiden talvityhjennystiheyksiä, jos tyhjennystiheys on vakio ympäri vuoden, sillä pääosa aluekeräyspisteiden käyttäjistä on loma-asukkaita. Tyhjennystiheyksien harvennuksella olisi mahdollista saavuttaa kustannussäästöjä. Tutkimuksessa laskettiin kuivajätteen elinkaarenaikaisia kasvihuonekaasupäästöjä kuivajätteen keräyksestä loppusijoitukseen ja energiahyötykäyttöön. Energiahyötykäyttökohteiksi valittiin Riihimäen, Kotkan sekä Leppävirran (suunnitteilla) jätteenpolttolaitokset. Tulosten pohjalta kuivajätteen energiahyötykäyttö oli loppusijoitusta selkeästi parempi vaihtoehto. Kuivajätteen keräys- ja kuljetuspäästöjen vaikutus oli pieni. Kuivajätteen kuljetusmatkan pituus jätteenpolttolaitokselle ei ole siis ratkaisevassa roolissa kokonaiskasvihuonekaasupäästöjä tarkasteltaessa. Etäisyyttä suurempi vaikutus onkin kuivajätteen koostumuksella, polttolaitosten vuosihyötysuhteilla ja korvattavilla polttoaineilla. Jatkossa suositellaan selvittämään vielä vaihtoehtoisia käsittelytapoja kuivajätteen sisältämälle sekamuovijakeelle, jonka poltosta aiheutuu merkittävä osuus (noin 74 %) kuivajätteen polton kasvihuonekaasupäästöistä. Ajankohtaisia kuljetuskilpailutuksia varten tarkasteltiin vielä tarkemmin keräys- ja kuljetuspäästöjä. Tulosten pohjalta havaittiin, että keräys- ja kuljetuspäästöjä on mahdollista vähentää reilusti (46–74 %) siirtymällä dieselistä biopolttoaineiden käyttöön. Tuloksiin vaikuttaa kuitenkin merkittävästi, minkälaisista raaka-aineista biopolttoaineet on valmistettu. Kuivajätteen keräyspäästöjä on mahdollista pienentää myös päivittämällä aluekeräyspisteverkostoa. Tutkimuksessa tarkasteltiin kustannuksia aluekeräyspisteiden astioiden uusinnasta tai korjauksesta kuivajätteen loppusijoitukseen tai energiahyötykäyttöön asti. Merkittävimmät kustannukset aiheutuivat kuivajätteen loppusijoituksesta, energiahyötykäytöstä sekä keräyksestä. Kustannusten näkökulmasta keräyksen rooli oli siis suurempi. Työn lopussa annettiin vielä vinkkejä, joiden avulla jätehuoltoyritykset voivat tehdä jätekuljetushankintoja ympäristönäkökohdat huomioiden. Usein selkein tapa huomioida ympäristönäkökohdat kuljetuskilpailutuksissa on asettaa riittävän tiukkoja pakollisia vaatimuksia, jolloin voi valita hinnaltaan halvimman vaihtoehdon. Kuljetuspalvelun hankinnassa tulee huomioida ainakin energiankulutus, hiilidioksidi-, typenoksidi-, hiilivety- ja hiukkaspäästöt. Lainsäädäntö ei määrää vähimmäistasoja, vaan hankintaa tehdessä kannattaa kartoittaa markkinatilanne, jotta vaatimukset osaa asettaa oikealle tasolle. Markkinoille kannattaa myös tiedottaa tulevaisuuden tarpeista ja suunnitelmista. Suuria hankintakokonaisuuksia suositellaan pilkottavan pienempiin osiin, jotta pienet ja keskisuuret yritykset pystyvät myös osallistumaan tarjouskilpailuihin. Kannustus innovaatioiden huomioimiseen hankinnoissa on lisääntynyt myös jätehuollon alalla. Selvitettyjen kasvihuonekaasupäästöjen perusteella oli merkille pantavaa, miten suuri vaikutus polttolaitoksen valinnalla oli kasvihuonekaasupäästöihin. Oleellista onkin huomioida ympäristönäkökohdat myös energiahyötykäyttökohdetta valittaessa.

Stock Market reaction to the CSR announcements of American fast food companies

The purpose of this study is to examine whether Corporate Social Responsibility (CSR) announcements of the three biggest American fast food companies (McDonald’s, YUM! Brands and Wendy’s) have any effect on their stock returns as well as on the returns of the industry index (Dow Jones Restaurants and Bars). The time period under consideration starts on 1st of May 2001 and ends on 17th of October 2013. The stock market reaction is tested with an event study utilizing CAPM. The research employs the daily stock returns of the companies, the index and the benchmarks (NASDAQ and NYSE). The test of combined announcements did not reveal any significant effect on the index and McDonald’s. However the stock returns of Wendy’s and YUM! Brands reacted negatively. Moreover, the company level analyses showed that to their own CSR releases McDonald’s stock returns respond positively, YUM! Brands reacts negatively and Wendy’s does not have any reaction. Plus, it was found that the competitors of the announcing company tend to react negatively to all the events. Furthermore, the division of the events into sustainability categories showed statistically significant negative reaction from the Index, McDonald’s and YUM! Brands towards social announcements. At the same time only the index was positively affected by to the economic and environmental CSR news releases.

On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

The Effect of Plant Closures on Market Value: Empirical Evidence from Pulp and Paper Industry 2004-2012

The aim of this study was to research how plant closure announcements affect the market value of the largest pulp and paper industry companies in the world. Also the effect of announcements on competitors was researched and whether the location of plants, timing, reasons for the closures, and characteristics of the closing firms and competitors have an impact on the results. The overall sample included 57 events in the years 2004-2012 and event study was used as a research method. Main theories were signaling theory and spillover effect. According to empirical results, investors consider plant closure announcements as a positive signal for market value. The spillover effect on competitors was, on average, positive and characteristics of the firms and closures had an effect on the results. Furthermore, the market generally predicted the closures and overreacted to them on the announcement day and after it. It is possible for corporate management and investors to learn from the results and use them as support for their decision making.