Yrityksen vaihto-omaisuustavoitteet kunnossapidon näkökulmasta

Varaosavarastoihin kohdistuu entistä enemmän samoja vaihto-omaisuuden hallinnan vaatimuksia kuin raaka-aine ja lopputuotevarastoihin. Tämän tutkimuksen tavoitteena oli selvittää, miten kunnossapito-organisaatio voi vastata näihin tavoitteisiin heikentämättä koneiden ja laitteiden teknistä käytettävyyttä ja lisäämättä riskiä tuotannon menetyksille. Kirjallisuudessa on esitetty suuri joukko eri lähtökohdista kehitettyjä analysointimalleja ja varastonpitopolitiikoita. Niiden avulla varaosia voidaan jakaa eri luokkiin ja niiden muodostamaa kokonaisuutta hallita. Teoriaosiossa on suoritettu kirjallisuuskatsaus käytetyimpiin menetelmiin ja tapaustutkimuksiin. Empiiriaosiossa menetelmien soveltuvuutta tutkittiin käytännössä. Tiedonkeruussa käytettiin case-yrityksen dokumentteja ja tietojärjestelmistä saatavaa tietoa, sekä havainnointia ja avoimia haastatteluita. Tutkimuksen tuloksena havaittiin merkittävä kehityspotentiaali, jonka hyödyntämiseksi saatiin määriteltyä tarpeisiin ja tutkimuksen lähtökohtana olleeseen viitekehykseen sopivat analysointi- ja varastonhallintamenetelmät. Varastokokonaisuuden hallintapolitiikka ehdotettiin lisättäväksi osaksi laatujärjestelmää. Sen avulla menetelmien johdonmukainen noudattaminen ja ohjeiden ajan tasalla pitäminen toteutuvat myös käytännössä.

Selvitys erilaisten mäntyöljynkeittoprosessien toiminnasta

Työn tavoitteena oli tutustua eri mäntyöljyprosessien toimintaan. Sulfaattisellun valmistuksessa syntyy sivutuotteena mäntyöljyä. Se tuo lisätuottoa sellutehtaalle. Nykypäivänä mäntyöljyn valmistukseen on kiinnitetty yhä enemmän huomiota uusien jalostusmahdollisuuksien vuoksi. Mäntyöljyä syntyy, kun mustalipeän pinnalta kuorittu suopa palstoitetaan sopivalla hapolla. Suopa koostuu puun uuteaineista eli hartsi- ja rasvahapoista sekä saippuattomista aineista. Suopa pitää erottaa mustalipeästä mahdollisimman hyvin, jotta se ei aiheuttaisi ongelmia sellutehtaan eri prosessin vaiheissa. Suopaa voidaan erottaa mustalipeästä säiliöerotuksena, sentrifugeilla tai hydrosykloneilla. Suovan palstoitusprosessi voi olla erä- tai jatkuvatoiminen prosessi. Jatkuvatoimisia prosesseja ovat: sentrifugi-, säiliödekantointi- ja HDS-prosessi. Mäntyöljyä voidaan käyttää kemianteollisuuden raaka-aineena tai siitä voidaan jalostaa biodieseliä. Tämä biodiesel on niin sanottua toisen polven biopolttoainetta eli se ei sisällä ravinnoksi kelpaavaa raaka-ainetta. Nykypäivänä markkinoilla on sekä eräkeitto- sekä jatkuvatoimisia prosesseja. Suovan erotussäiliöiden rinnalle on tullut uusi sentrifugeilla tapahtuva suovan erotussysteemi.

Rahapeliyhtiöiden menestys Euroopan markkinoilla

Tutkielma avartaa Eurooppalaisten rahapeliyhtiöiden menestymistä vuosien 2001 ja 2014 välillä verraten menestymistä muihin Sin stocks yrityksiin sekä Euro Stoxx 50 indeksiin. Teoriaosuus keskustelee epäeettisiin yrityksiin kohdistuvista havainnoista sekä rahapelaamisen luonteesta pyrkien esittämään havaintoja, jotka vaikuttavat rahapeliyhtiöiden ja epäeettisten yritysten menestymiseen. Menestymistä tarkastellaan kolmen menestysmittarin: Sharpen ja Treynorin luvun sekä Jensenin alfan avulla.

Market anomalies and tactical asset allocation: Utilising market anomalies in multiple asset class portfolios with the Black−Litterman model

This thesis discusses the basic problem of the modern portfolio theory about how to optimise the perfect allocation for an investment portfolio. The theory provides a solution for an efficient portfolio, which minimises the risk of the portfolio with respect to the expected return. A central feature for all the portfolios on the efficient frontier is that the investor needs to provide the expected return for each asset. Market anomalies are persistent patterns seen in the financial markets, which cannot be explained with the current asset pricing theory. The goal of this thesis is to study whether these anomalies can be observed among different asset classes. Finally, if persistent patterns are found, it is investigated whether the anomalies hold valuable information for determining the expected returns used in the portfolio optimization Market anomalies and investment strategies based on them are studied with a rolling estimation window, where the return for the following period is always based on historical information. This is also crucial when rebalancing the portfolio. The anomalies investigated within this thesis are value, momentum, reversal, and idiosyncratic volatility. The research data includes price series of country level stock indices, government bonds, currencies, and commodities. The modern portfolio theory and the views given by the anomalies are combined by utilising the Black-Litterman model. This makes it possible to optimise the portfolio so that investor’s views are taken into account. When constructing the portfolios, the goal is to maximise the Sharpe ratio. Significance of the results is studied by assessing if the strategy yields excess returns in a relation to those explained by the threefactormodel. The most outstanding finding is that anomaly based factors include valuable information to enhance efficient portfolio diversification. When the highest Sharpe ratios for each asset class are picked from the test factors and applied to the Black−Litterman model, the final portfolio results in superior riskreturn combination. The highest Sharpe ratios are provided by momentum strategy for stocks and long-term reversal for the rest of the asset classes. Additionally, a strategy based on the value effect was highly appealing, and it basically performs as well as the previously mentioned Sharpe strategy. When studying the anomalies, it is found, that 12-month momentum is the strongest effect, especially for stock indices. In addition, a high idiosyncratic volatility seems to be positively correlated with country indices on stocks.

TAKING ADVANTAGE OF THE LOCAL ADVANTAGE? - Investment value of the analyst local advantage in the Finnish stock market in 2006–2014

An investor can either conduct independent analysis or rely on the analyses of others. Stock analysts provide markets with expectations regarding particular securities. However, analysts have different capabilities and resources, of which investors are seldom cognizant. The local advantage refers to the advantage stemming from cultural or geographical proximity to securities analyzed. The research has confirmed that local agents are generally more accurate or produce excess returns. This thesis tests the investment value of the local advantage regarding Finnish stocks via target price data. The empirical section investigates the local advantage from several aspects. It is discovered that local analysts were more focused on certain sectors generally located close to consumer markets. Market reactions to target price revisions were generally insignificant with the exception to local positive target prices. Both local and foreign target prices were overly optimistic and exhibited signs of herding. Neither group could be identified as a leader or follower of new information. Additionally, foreign price change expectations were more in line with the quantitative models and ideas such as beta or return mean reversion. The locals were more accurate than foreign analysts in 5 out of 9 sectors and vice versa in one. These sectors were somewhat in line with coverage decisions and buttressed the idea of local advantage stemming from proximity to markets, not to headquarters. The accuracy advantage was dependent on sample years and on the measure used. Local analysts ranked magnitudes of price changes more accurately in optimistic and foreign analysts in pessimistic target prices. Directional accuracy of both groups was under 50% and target prices held no linear predictive power. Investment value of target prices were tested by forming mean-variance efficient portfolios. Parallel to differing accuracies in the levels of expectations foreign portfolio performed better when short sales were allowed and local better when disallowed. Both local and non-local portfolios performed worse than a passive index fund, albeit not statistically significantly. This was in line with previously reported low overall accuracy and different accuracy profiles. Refraining from estimating individual stock returns altogether produced statistically significantly higher Sharpe ratios compared to local or foreign portfolios. The proposed method of testing the investment value of target prices of different groups suffered from some inconsistencies. Nevertheless, these results are of interest to investors seeking the advice of security analysts.

Estrutura de propriedade e de controle das empresas de capital aberto no Brasil

This paper has as its main objective to measure the magnitude of deviations between control rights and cash-flow rights for the ultimate shareholder with the largest voting rights of limited liability companies in Brazil. Furthermore, it pinpoints how these discrepancies are generated, evaluating the relative importance of the issuance of preferred stocks with no voting rights, pyramidal arrangements of ownership, and cross-shareholdings. The data set embraces 602 companies that in 2001 complied with the mandatory requirement of filing to the CVM.

Performance of value and momentum strategies in the Swedish stock market

This thesis investigates the performance of value and momentum strategies in the Swedish stock market during the 2000-2015 sample period. In addition the performance of some value and value-momentum combination is examined. The data consists of all the publicly traded companies in the Swedish stock market between 2000-2015. P/E, P/B, P/S, EV/EBITDA, EV/S ratios and 3, 6 and 12 months value criteria are used in the portfolio formation. In addition to single selection criteria, combination of P/E and P/B (aka. Graham number), the average ranking of the five value criteria and EV/EBIT – 3 month momentum combination is used as a portfolio-formation criterion. The stocks are divided into quintile portfolios based on each selection criterion. The portfolios are reformed once a year using the April’s price information and previous year’s financial information. The performance of the portfolios is examined based on average annual return, the Sharpe ratio and the Jensen alpha. The results show that the value-momentum combination is the best-performing portfolio both during the whole sample period and during the sub-period that started after the 2007-financial crisis.

Static waves in corporate space : characterizing oscillating trading patterns in New York stock exchange

Various researches in the field of econophysics has shown that fluid flow have analogous phenomena in financial market behavior, the typical parallelism being delivered between energy in fluids and information on markets. However, the geometry of the manifold on which market dynamics act out their dynamics (corporate space) is not yet known. In this thesis, utilizing a Seven year time series of prices of stocks used to compute S&P500 index on the New York Stock Exchange, we have created local chart to the corporate space with the goal of finding standing waves and other soliton like patterns in the behavior of stock price deviations from the S&P500 index. By first calculating the correlation matrix of normalized stock price deviations from the S&P500 index, we have performed a local singular value decomposition over a set of four different time windows as guides to the nature of patterns that may emerge. I turns out that in almost all cases, each singular vector is essentially determined by relatively small set of companies with big positive or negative weights on that singular vector. Over particular time windows, sometimes these weights are strongly correlated with at least one industrial sector and certain sectors are more prone to fast dynamics whereas others have longer standing waves.

The Impact of Acquisitions on Share Pricing and Long Term Performance – Empirical Evidence from the Global Automotive Industry

Automotive industry has faced intense consolidation pressure, which has lead to increasing number of M&As. However, empirical evidence has given controversial results suggesting that most of M&As are value destructive for acquiring companies and for acquiring companies’ shareholders. The objective of this master’s thesis is to examine how acquiring companies’ shareholders react to acquisition announcement and is the reaction in line with the long-term performance. This study uses empirical evidence from automotive industry, which has been characterized as an industry that holds large amount of vertical and horizontal synergies. Transaction data consists of 65 acquisitions made by publicly listed companies between 2008-2010. The short-term impact is tested by applying event study methodology while the long term operative performance is examined with accounting study methodology. The event study results indicate that during the three days after acquisition (t= 0-2), the acquiring firms’ stocks generate an abnormal return of 1.22% on average across all acquisitions. When long term performance is studied it is evident that acquiring companies perform better than the industry median pre- and post-transaction but there is no statistically significant evidence that the performance has increased. The only performance ratio indicating statistically significant decrease is Return on Equity (ROE). On long-term horizontal acquisitions seem to outperform conglomerate ones but otherwise deal characteristics do not have any statistically significant impact.

Liquidity Risk in the Finnish Stock Market

This study explores the pricing of liquidity risk and its effect on stock returns in the Finnish stock market. In addition to that, it investigates whether there is a trend in liquidity risk. Finally, it analyzes whether the two chosen liquidity measures provide different results. The data consists of all the common shares listed in the Finnish stock market during the period of 1/1997–7/2015. To examine whether liquidity risk affects stock returns in the Finnish stock market, this study utilizes a conditional version of liquidity-adjusted capital asset pricing model (LCAPM) by Acharya and Pedersen (2005). Two recently proposed illiquidity measures – PQS and AdjILLIQ – are used in the empirical estimation to see whether there are differences in the results between the measures. The time-varying conditional liquidity risks are estimated by using a multivariate DCC-GARCH model, while the pricing of the liquidity risk is conducted by applying fixed effect panel regression. The results imply that investors in the Finnish stock market are willing to pay a premium to hedge from wealth shocks and having liquid assets during the declined market liquidity. However, investors are not willing to pay a premium for stocks with higher returns during illiquid markets. The total annualized illiquidity premiums found in the Finnish stock market are 1.77% and 1.04%, based on the PQS and AdjILLIQ measures, respectively. The study also shows that liquidity risk does not exhibit decreasing trend, and investors should consider liquidity risk in their portfolio diversification in the Finnish stock market.

Mäntyöljyn tislauksen esikäsittely

Raakamäntyöljy on selluteollisuuden sivutuote. Suopa erotetaan mustalipeästä ja palstoitetaan tuottaen siten raakamäntyöljyä. Raakamäntyöljy tislataan tavanomaisesti viiteen pääjakeeseen: rasvahapot, hartsihapot, mäntyöljytisle, esiöljy ja mäntyöljypiki. Näiden jakeiden lisäksi raakamäntyöljyssä on erityisesti mustalipeästä siihen erottuneita epäpuhtauksia, jotka haittaavat raakamäntyöljyn prosessointia. Epäpuhtauksia ovat orgaaniset ja epäorgaaniset yhdisteet, kuten metallit, suolat ja ligniini. Nämä epäpuhtaudet aiheuttavat haitallisia reaktioita prosessissa huonontaen siten lopputuotejakeiden laatua. Tämän lisäksi epäpuhtaudet aiheuttavat saostumia prosessilaitteissa alentaen siten prosessointitehokkuutta. Raakamäntyöljyn esikäsittelyllä tehostetaan tislauksen toimintaa. Työssä esitetään esikäsittelymenetelmistä mm. degumming-menetelmä, laimea happopesu, hiilidioksidikäsittely, valkaisu ja lämpökäsittely. Menetelmien pohjalta valitaan tätä työtä varten yksi menetelmä, jonka pohjalta suunnitellaan kokeellisessa osassa suoritettavat kokeet. Kokeellinen osuus koostuu esikokeista, varsinaisista kokeista ja lisäkokeista. Menetelmän tarkoituksena on saavuttaa epäpuhtauksille 90–95 % reduktioaste. Kokeiden onnistumista tutkitaan analysoimalla alkuperäinen raakamäntyöljy, sekä jokaisen kokeen jälkeen erotetut faasit. Työssä saavutettiin hyvä erotustehokkuus. Alkuperäisen tavoitteen mukaista reduktioastetta ei pystytty määrittämään eri analyysimenetelmien ja niiden analyysituloksissa ilmenneiden eroavaisuuksien vuoksi, mutta lisäkokeiden ansiosta pystyttiin vahvistamaan kyseisen koejärjestelmän optimaalinen poistoaste. Lisäksi työssä havaittiin että esikäsittelytulos on hyvin riippuvainen käsiteltävän raaka-aineen koostumuksesta.

TAKING ADVANTAGE OF THE LOCAL ADVANTAGE? - Investment value of the analyst local advantage in the Finnish stock market in 2006–2014

An investor can either conduct independent analysis or rely on the analyses of others. Stock analysts provide markets with expectations regarding particular securities. However, analysts have different capabilities and resources, of which investors are seldom cognizant. The local advantage refers to the advantage stemming from cultural or geographical proximity to securities analyzed. The research has confirmed that local agents are generally more accurate or produce excess returns. This thesis tests the investment value of the local advantage regarding Finnish stocks via target price data. The empirical section investigates the local advantage from several aspects. It is discovered that local analysts were more focused on certain sectors generally located close to consumer markets. Market reactions to target price revisions were generally insignificant with the exception to local positive target prices. Both local and foreign target prices were overly optimistic and exhibited signs of herding. Neither group could be identified as a leader or follower of new information. Additionally, foreign price change expectations were more in line with the quantitative models and ideas such as beta or return mean reversion. The locals were more accurate than foreign analysts in 5 out of 9 sectors and vice versa in one. These sectors were somewhat in line with coverage decisions and buttressed the idea of local advantage stemming from proximity to markets, not to headquarters. The accuracy advantage was dependent on sample years and on the measure used. Local analysts ranked magnitudes of price changes more accurately in optimistic and foreign analysts in pessimistic target prices. Directional accuracy of both groups was under 50% and target prices held no linear predictive power. Investment value of target prices were tested by forming mean-variance efficient portfolios. Parallel to differing accuracies in the levels of expectations foreign portfolio performed better when short sales were allowed and local better when disallowed. Both local and non-local portfolios performed worse than a passive index fund, albeit not statistically significantly. This was in line with previously reported low overall accuracy and different accuracy profiles. Refraining from estimating individual stock returns altogether produced statistically significantly higher Sharpe ratios compared to local or foreign portfolios. The proposed method of testing the investment value of target prices of different groups suffered from some inconsistencies. Nevertheless, these results are of interest to investors seeking the advice of security analysts.

Irtisanomisilmoitusten vaikutukset suomalaisten suuryritysten markkina-arvoihin

The objective of the thesis is to examine the market reaction of Finnish large-cap stocks to layoff announcements, using the event study methodology to gain insight in to whether the reaction is positive or negative, and whether it has changed over the years since the last studies were conducted. Another aim is also to examine whether the market reaction has changed during the times of the financial crisis, when the number of layoffs in Finland has been unusually high. The data consists of 128 publicly announced layoff announcements during the eight years from January 2006 to January 2014. The average market reaction to layoff announcements during different time periods within the overall sample was studied based on abnormal returns indicated by the event study methodology. The earlier research suggest that the overall market reaction to layoff announcements is negative. An overwhelming majority of these studies were conducted in the 1990s based on 80’s data. The market reaction found in this study was slightly positive, although the result was not statistically significant. The market reaction has decreased during the years of the financial crisis, but this result too, is not statistically significant.

Pairs trading profitability in the Finnish stock market: A comparison between three methods

Pairs trading is an algorithmic trading strategy that is based on the historical co-movement of two separate assets and trades are executed on the basis of degree of relative mispricing. The purpose of this study is to explore one new and alternative copula-based method for pairs trading. The objective is to find out whether the copula method generates more trading opportunities and higher profits than the more traditional distance and cointegration methods applied extensively in previous empirical studies. Methods are compared by selecting top five pairs from stocks of the large and medium-sized companies in the Finnish stock market. The research period includes years 2006-2015. All the methods are proven to be profitable and the Finnish stock market suitable for pairs trading. However, copula method doesn’t generate more trading opportunities or higher profits than the other methods. It seems that the limitations of the more traditional methods are not too restrictive for this particular sample data.

Alhaisen volatiliteetin anomalia Suomen osakemarkkinoilla

Tutkielman tavoitteena on selvittää esiintyykö Suomen osakemarkkinoilla alhaisen volatiliteetin anomaliaa. Tutkielman tavoitteeseen vastataan työn empiirisessä osassa analysoimalla Suomen osakemarkkinoilla listattujen osakkeiden tuottoaikasarjoja. Tutkielmassa tarkastellaan myös finanssikriisin vaikutusta anomalian ilmenemiseen. Tutkimus sijoittuu aikavälille tammikuusta 2001 tammikuuhun 2015. Tutkielmassa muodostetaan portfolioita osakkeiden historiallisen volatiliteetin mukaan. Näiden portfolioiden menestymistä suhteessa markkinoihin arvioidaan absoluuttisten tuottojen, Sharpen luvun sekä Jensenin alfan avulla. Markkinaindekseinä käytetään OMXH CAP -indeksiä sekä tutkimusaineiston pohjalta muodostettua markkinaportfoliota. Kaikkein parhaimman absoluuttisen tuoton on saanut vuodesta 2001 vuoteen 2015 sijoittamalla keskiverron volatiliteetin osakkeisiin. Parhaan riskikorjatun tuoton on kuitenkin saavuttanut sijoittamalla alhaisen volatiliteetin osakkeisiin. Tutkielmassa löydetään todisteita alhaisen volatiliteetin anomalian esiintymisestä Suomen osakemarkkinoilla koko tutkimusaineisto huomioon ottaen. Tutkielman ehkä mielenkiintoisin löydös on kuitenkin huomio alhaisen volatiliteetin anomalian häviämisestä Suomen osakemarkkinoilta finanssikriisin jälkeen. Ennen finanssikriisiä esiintynyt erittäin vahva alhaisen volatiliteetin osakkeiden ylisuoriutuminen hävisi täysin finanssikriisin jälkeen. Toisin sanoen riskin ja tuoton suhde on kääntynyt päälaelleen finanssikriisin jälkeen, eikä alhaisen volatiliteetin anomaliaa voida enää sanoa esiintyvän.