Subjectivity in the valuation : Case study on the Finnish biotechnology industry

The thesis combines valuation and behavioral economics literature, which is not common among the Finnish management accounting research. Furthermore, the valuation is studied in biotechnology context and those type of studies are rather rare as well. The thesis studies the valuation in the Finnish biotechnology industry. The concepts of behavioral finance are employed in the empirical part of the study to explore decision-makers’ behavior in valuation processes. The main interest of this study is to explore how subjectivity of a decision-maker affects the valuation in the biotechnology industry. The valuation is studied from two perspectives. First, what is the best valuation model for biotechnology companies suggested by the valuation literature? Second, how the valuation in biotechnology industry is done in practice and how the decision-makers subjectivity affects the valuation? The literature review aims at seeking the best valuation model. The real options were found to be the most suitable valuation model for biotechnology companies, especially in the early stages of product development. The real option’s ability to take the value of the inherent options into account results in theoretically most correct valuations. The only disadvantage is the model’s complexity when compared to other models, such as discounted cash flow models. The empirical part of the study consists of a case study, which examines the valuation practices of the Finnish biotechnology companies. When it comes to the valuation models used in practice, it was found that the companies were using rather simple valuation models, which was due to two reasons. First, the interviewees did not believe in the valuation models and second, they were familiar neither with the most sophisticated models nor with all the theoretical aspects of the models they were using. The material for the study was collected with theme interviews. Four CEO’s of highly successful Finnish biotechnology companies. Strong signs of the decision-makers’ subjectivity in valuation were observed. Most obvious were the signs of framing. Furthermore, herding, excessive optimism, and overconfidence were present. All the behavioral concepts observed most likely have a severe effect on the valuation. As a result, the valuation can easily become overly optimistic, which leads to overvalued investments and to continuation of already unprofitable projects. Framing had the strongest evidence. If the product being valued is framed successfully, the risk of overvaluation is high, thus a strong belief can justify almost any value.

Rahoitusalan yrityksen arvonmäärittäminen

Tässä tutkimuksessa tutkittiin rahoitusalan yritysten arvonmäärittämistä. Tutkimuksen päätavoitteena oli perehtyä yrityksen arvonmäärityksen teoriaan ja testata erilaisten arvonmääritysmallien sopivuutta esimerkkiyrityksiin. Tätä kautta pyrittiin selvittämään perinteisten arvonmääritysmallien soveltuvuus rahoitusalan yritysten arvon määrittämiseksi.Tämän lisäksi oltiin kiinnostuneita menetelmien soveltuvuuseroista erityyppisten rahoitusalan yritysten arvonmäärityksessä. Teoriaosuudessa esiteltiin yrityksen arvonmääritysprosessi ja käytiin läpi perinteiset arvonmääritysmallit. Empiriaosuudessa näistä teoreettisista lähtökohdista pyrittiin havainnollistamaan erilaisten esimerkkiyritysten avulla rahoitusalan yritysten arvonmääritysprosessia. Tämän tutkimuksen mukaanperinteiset arvonmääritysmallit tuntuvat sopivan pankkeja ja vakuutusyhtiöitä lukuun ottamatta kohtuullisen hyvin rahoitusalan yritysten arvonmäärittämiseen. Pankkien arvon määrittäminen on erittäin vaikeata johtuen lukuisista niihin kohdistuvista erityissäädöksistä ja raportointimääräyksistä.

Analysis of Earnings, Stock Prices and Bond Yields: The Fed Model Approach

Prediction of the stock market valuation is a common interest to all market participants. Theoretically sound market valuation can be achieved by discounting future earnings of equities to present. Competing valuation models seek to find variables that affect the equity market valuation in a way that the market valuation can be explained and also variables that could be used to predict market valuation. In this paper we test the contemporaneous relationship between stock prices, forward looking earnings and long-term government bond yields. We test this so-called Fed model in a long- and short-term time series analysis. In order to test the dynamics of the relationship, we use the cointegration framework. The data used in this study spans over four decades of various market conditions between 1964-2007, using data from United States. The empirical results of our analysis do not give support for the Fed model. We are able to show that the long-term government bonds do not play statistically significant role in this relationship. The effect of forward earnings yield on the stock market prices is significant and thus we suggest the use of standard valuation ratios when trying to predict the future paths of equity prices. Also, changes in the long-term government bond yields do not have significant short-term impact on stock prices.

A quantitative view on fuzzy numbers

Since its introduction, fuzzy set theory has become a useful tool in the mathematical modelling of problems in Operations Research and many other fields. The number of applications is growing continuously. In this thesis we investigate a special type of fuzzy set, namely fuzzy numbers. Fuzzy numbers (which will be considered in the thesis as possibility distributions) have been widely used in quantitative analysis in recent decades. In this work two measures of interactivity are defined for fuzzy numbers, the possibilistic correlation and correlation ratio. We focus on both the theoretical and practical applications of these new indices. The approach is based on the level-sets of the fuzzy numbers and on the concept of the joint distribution of marginal possibility distributions. The measures possess similar properties to the corresponding probabilistic correlation and correlation ratio. The connections to real life decision making problems are emphasized focusing on the financial applications. We extend the definitions of possibilistic mean value, variance, covariance and correlation to quasi fuzzy numbers and prove necessary and sufficient conditions for the finiteness of possibilistic mean value and variance. The connection between the concepts of probabilistic and possibilistic correlation is investigated using an exponential distribution. The use of fuzzy numbers in practical applications is demonstrated by the Fuzzy Pay-Off method. This model for real option valuation is based on findings from earlier real option valuation models. We illustrate the use of number of different types of fuzzy numbers and mean value concepts with the method and provide a real life application.

Arvonmääritysmallien toimivuus osakkeen arvonmäärityksessä

Tutkielma käy läpi arvonmääritysmallien toimivuutta osakkeen arvonmäärityksessä.

Pienyrityksen arvonmääritys yrityskauppatilanteessa

Tämän Pro-gradu tutkielman tavoitteena on tutkia, miten pienyrityksen arvo määrittyy yrityskauppatilanteessa. Tämän lisäksi tutkimus pyrkii selvittämään millaisia erityispiirteitä pienyrityksen arvonmääritykseen liittyy ja miten eri arvonmääritysmenetelmät soveltuvat pienyrityksen arvonmääritykseen. Empiirinen tutkimus koostuu kolmesta yrityskauppaan ja arvonmääritykseen keskittyneen asiantuntijan haastattelusta. Haastattelujen avulla on tarkoitus lisätä ymmärrystä pienyritysten arvonmäärityksestä, sen erityispiirteistä, soveltuvista arvonmääritysmenetelmistä sekä siitä, miten lopullinen arvo muodostuu. Tutkimuksen tulokset osoittavat, että pienyrityksen arvon määrittäminen on vaativa prosessi, jossa on otettava huomioon monia erityisiä piirteitä. Yhtä oikeaa arvonmääritysmenetelmää ei ole vaan useita eri menetelmiä käytetään rinnakkain luotettavan arvon muodostamiseksi. Tärkeimpänä huomioitavana piirteenä esille nousi yrityksen tulevaisuuden ennustamisen hankaluus, minkä takia tulevaisuudelle ei anneta paljoa painoarvoa pienyrityksen arvonmäärityksessä. Tämä vaikuttaa olennaisesti käytettäviin arvonmääritysmenetelmiin ja niiden luotettavuuteen. Rahoitusteoreettisesti oikeaoppisin arvonmääritysmenetelmä, vapaan kassavirran malli, ei tulosten perusteella ole soveltuvin malli kaikkien pienyritysten kohdalla. Syynä tähän on, että suuri osa yrityksen arvosta muodostuu tulevaisuuden kassavirroista, joita pienyrityksen kohdalla on haasteellista ennustaa. Kaikki asiantuntijat käyttivät jokaisen pienyrityksen arvonmäärityksen yhteydessä markkinapohjaisia kertoimia, mutta tämänkin mallin käytön yhteydessä on omat haasteensa ja vaatii arvonmäärittäjältä syvällistä osaamista yrityksen toimialasta. Arvonmäärityksen lisäksi pienyrityksen toiminnan luonne lisää omat erityispiirteet, jotka huomioidaan arvoa laskevina riskitekijöinä. Pienyrityksen toiminta kiteytyy usein yrittäjän osaamiseen, joka koetaan suurena riskinä yrityskaupassa ja täten lopullista arvoa laskevana tekijänä. Voidaankin todeta, että pienyrityksen kohdalla arvonmääritys luo pohjan sekä raja-arvot ostettavasta yrityksestä maksettavalle hinnalle, mutta lopullinen kauppahinta muodostuu neuvottelujen lopputuloksena.

Fuzzy real option analysis in patent related decision making and patent valuation

The shift towards a knowledge-based economy has inevitably prompted the evolution of patent exploitation. Nowadays, patent is more than just a prevention tool for a company to block its competitors from developing rival technologies, but lies at the very heart of its strategy for value creation and is therefore strategically exploited for economic pro t and competitive advantage. Along with the evolution of patent exploitation, the demand for reliable and systematic patent valuation has also reached an unprecedented level. However, most of the quantitative approaches in use to assess patent could arguably fall into four categories and they are based solely on the conventional discounted cash flow analysis, whose usability and reliability in the context of patent valuation are greatly limited by five practical issues: the market illiquidity, the poor data availability, discriminatory cash-flow estimations, and its incapability to account for changing risk and managerial flexibility. This dissertation attempts to overcome these impeding barriers by rationalizing the use of two techniques, namely fuzzy set theory (aiming at the first three issues) and real option analysis (aiming at the last two). It commences with an investigation into the nature of the uncertainties inherent in patent cash flow estimation and claims that two levels of uncertainties must be properly accounted for. Further investigation reveals that both levels of uncertainties fall under the categorization of subjective uncertainty, which differs from objective uncertainty originating from inherent randomness in that uncertainties labelled as subjective are highly related to the behavioural aspects of decision making and are usually witnessed whenever human judgement, evaluation or reasoning is crucial to the system under consideration and there exists a lack of complete knowledge on its variables. Having clarified their nature, the application of fuzzy set theory in modelling patent-related uncertain quantities is effortlessly justified. The application of real option analysis to patent valuation is prompted by the fact that both patent application process and the subsequent patent exploitation (or commercialization) are subject to a wide range of decisions at multiple successive stages. In other words, both patent applicants and patentees are faced with a large variety of courses of action as to how their patent applications and granted patents can be managed. Since they have the right to run their projects actively, this flexibility has value and thus must be properly accounted for. Accordingly, an explicit identification of the types of managerial flexibility inherent in patent-related decision making problems and in patent valuation, and a discussion on how they could be interpreted in terms of real options are provided in this dissertation. Additionally, the use of the proposed techniques in practical applications is demonstrated by three fuzzy real option analysis based models. In particular, the pay-of method and the extended fuzzy Black-Scholes model are employed to investigate the profitability of a patent application project for a new process for the preparation of a gypsum-fibre composite and to justify the subsequent patent commercialization decision, respectively; a fuzzy binomial model is designed to reveal the economic potential of a patent licensing opportunity.

Long-term fertilizer field trials: comparison of three mathematical response models

Selostus: Lannoituksen pitkäaikaiset kenttäkokeet: kolmen matemaattisen mallin vertailu

Generalizing sample tree information with semiparametric and parametric models

Summary

Predicting the growth response to thinning for Scots pine stands using individual-tree growth models

Summary

The application of agricultural land rating and crop models to CO2 and climate change issues in Northern regions : the Mackenzie Basin case study

Selostus: Viljelyvyöhykkeiden ja kasvumallien soveltaminen ilmastonmuutoksen tutkimisessa: Mackenzien jokialue, Kanada

Individual-tree basal area growth models for scots pine, pubescent birch and Norway spruce on drained peatlands in Finland

Summary