Goal of thesis "Valuation of company Auto Koutek, s.r.o." is to determine the value of company for shareholder on 31st December 2009 that should take place in evaluating of company's managers. Thesis is divided in theoretical part, which summarize processes and methods used in valuation of company, and practical part. Firstly practical part analyzes company's performance and its surroundings. This part is followed by financial plan of company for years from 2010 to 2017. Valuation DCF models are than based on this financial plans. Value of company is than analyzed with sensitivity analysis and by Monte Carlo simulation that are trying to analyze uncertainty connected with calculated value of company.

以往財務理論在討論財務市場行為時，均是在完全市場( e market)的假 設上做分析。但是從現實的角度來看，由於時間 (time)與不確定(uncertainty) 等因素，導致市場往往是不完全的(incomplete)；亦即資產或證券的數目往往小 於未來各種可能發生的不確定狀態的數目。當各種不同狀態事件發生時,如果沒有足夠的 資產或證券工具來涵括(span)所有投資人所欲達成的跨時所得移轉，則有某些風 險因子不能以既有的財務工具來複製，此時投資人將無法完全地規避該項風險。 本文的分析方法屬於微分拓樸數學工具的應用。從基本可微分流行(differentiable manifold) 性質，我們可得到整體性的觀點，優於以往在歐氏空間，Hilbert 空 間等拓樸空間只考慮在局部的性質.首先由最基本平滑流形(smooth manifo-[念 切入，介紹平滑流形與歐氏空間的關係。再由市場均衡的定義找出均衡流形( equilibrium manifold)。結合Debreu(1970)與Balasko(1976,1988) 建立的正 規經濟，探討其性質.加入財務市場時，透過正規經濟的理論，證明不完全財物 市場均衡generic 存在性。最後，利用不完全財務市場均衡generic的存在性，證明單 一商品及多商品的資本資產定價(CAPM)；並且建立一以消費為基礎的資本資 產定價模式。

<p>The market risk premium is one of the most important parameters in finance. Its value and the ways to calculate a risk premium for the market is a widely debated subject. This thesis examines numerous ways of calculating a risk premium for the Swedish market with regard to how good an estimation they make of a real risk premium. Estimations based on historical periods ranging from 20 to 85 years is calculated as well as a premium based on forward-looking estimates. The real risk premium is solved out for a selection of companies and an index with the help of CAPM. An examination of these estimates leads to the conclusion that historical estimates of a risk premium may be outdated. The implication of this is that more effort should be put into examining a risk premium based on forward-looking estimates. In this context a thorough analysis of fundamentals should be added into the calculation.</p>

The market risk premium is one of the most important parameters in finance. Its value and the ways to calculate a risk premium for the market is a widely debated subject. This thesis examines numerous ways of calculating a risk premium for the Swedish market with regard to how good an estimation they make of a real risk premium. Estimations based on historical periods ranging from 20 to 85 years is calculated as well as a premium based on forward-looking estimates. The real risk premium is solved out for a selection of companies and an index with the help of CAPM. An examination of these estimates leads to the conclusion that historical estimates of a risk premium may be outdated. The implication of this is that more effort should be put into examining a risk premium based on forward-looking estimates. In this context a thorough analysis of fundamentals should be added into the calculation.

We investigate the activity and performance of 64 Swedish registered mutual equity funds available in the Swedish Premium Pension System from October 2002 to December 2011. Fund activity is measured by applying the holdings based analysis Active Share combined with Tracking Error Volatility (TEV). Active Share is a relatively new measure that compares a fund’s holdings with its benchmark index constituents (Cremers &amp; Petajisto, 2009; Petajisto, 2013). This is used as a proxy for the fund’s stock selection strategy. As a complement, TEV is used as a proxy for the factor timing strategy. Performance are measured by using Jensen’s (1968) model, Fama and French’s (1993) model and Carhart’s (1997) model. We document that Swedish funds in the Premium Pension System are relatively passive in term of Active Share compared to US funds. We attribute this finding to the relative number of stocks held by a fund compared to the market. Swedish equity funds hold a relatively larger share of the number of stocks in the Swedish market while US funds hold a relatively smaller share of the stocks in the US market. We run a panel regression analysis to test the relation between Active Share and various variables. We find that funds with higher TER fees and fewer stocks on average have higher Active Share. There are also indications that TEV is positively related to Active Share. However, the overall explanatory power of the variables is low. We attribute this as evidence that Active Share is an independent measure of fund activity. Overall, we find neutral performance for an equally weighted portfolio of all funds in the PPS. To examine the performance differences between different levels of activity, we sort funds into five portfolios based on Active Share and TEV. The results show that, given a medium-to-low TEV, funds with high Active Share significantly outperform funds with low Active Share. Furthermore, it appears that the fee rebate in the Premium Pension System is important especially for the passive funds. Without the rebate, the passive funds underperform significantly. We run a panel regression analysis on the future fund performance to test the predictive abilities of Active Share and TEV. The results indicate that Active Share does not explain future performance differences. Conversely, TEV is negatively related to future performance which can be explained by fund managers being overconfident

One could argue that the most discussed topic in finance is whether or not it is possible to “beat the market”. Even though many people claim to do this, there is little evidence to support the idea that one can consistently beat the market over a long period of time. There are indeed several examples of investors who have managed to outperform the market consistently for a long time, but the efforts of these individuals or institutions could by many be considered to be pure luck. One of the many strategies that have been evaluated by several researchers and is said to generate a risk adjusted return greater than that of the market, is one based on the P/E-effect. This strategy is based on the financial ratio P/E – price divided by earnings – and used by constructing portfolios consisting of stocks with low P/E ratios. Several studies have confirmed the existence of the P/E-effect on various stock markets around the world and over different time periods. On the Swedish market, however, few studies have generated the same results. Most of these studies can be considered to be insufficient with regards to sample sizes and methods, spawning a need for more extensive studies. We have examined the P/E strategy on the Swedish Stock Exchange (SSE) between 2004 and 2012. The sample included 358 companies (excluding financial companies) with available necessary data. The stocks were divided into five portfolios based on their yearly P/E ratios (low to high), upon which the monthly returns of the individual stocks were calculated using a logarithmic formula. The returns were also risk adjusted using the Capital Asset Pricing Model (CAPM), followed by a regression analysis to see if possible abnormal returns could be considered to be statistically significant for the examined time period. The results of our study indicate that the P/E effect is not present on the Swedish Stock Exchange during the examined time period, and we therefore conclude that it was not possible to utilize a strategy based on the P/E effect between 2004 and 2012 in order to achieve an abnormal return. The results can be used to argue that the Swedish stock market is more efficient than for example the U.S. stock market where the P/E effect has been found to exist.

The objective of the International Financial Reporting Standards (IFRS) is to provide useful information to the users of financial statements to assist in making economic decisions. To be useful, information has to be relevant and reliable, but the reliability of information suffers when the guidelines for the reporting of specific issues are not clear and managerial discretion arises. Write-offs are one of those accounting issues that are regularly related to earnings management. By now it is seen as common knowledge that write-offs, especially those on goodwill, do not reflect declines in asset value; rather, they are used as a device to manipulate financial reports. However, there is a striking lack of grounded theoretical research that can confirm this assessment. The aim of this dissertation is to provide valuable analytical and empirical insights on fixed asset write-offs under IFRS. In a first step, the practical implementation of IAS 36 in Europe has to be analyzed, which is best done empirically. Based on the findings from these empirical surveys, the most substantial questions remaining are subject to an in-depth analytical discussion. Since IAS 36 entails different measurement issues that have their origins in finance theory, this dissertation also aims to introduce some basic techniques from theoretical finance to accounting research. Lastly, as the analyses presented in this dissertation do not cover all open questions on fixed asset write-offs, the author hopes to encourage further research on this important topic.

The fund market has grown substantially during the past decades and the majority of Swedish citizens are invested in funds directly or through pension savings. There is mixed evidence on the performance of Swedish equity funds depending on the method employed and the time period studied. In this study, we set out to estimate abnormal performance using acknowledged methods during a time-period that is both longer and more recent than previous studies. Our sample is survivorship-free and consists of 150 mutual equity funds during January 1993 to December 2011. We use a four-factor model to estimate abnormal performance compared to an index and additional risk factors. We find that the average performance is neutral net of costs and that funds outperform with 1.7 percent before costs, the difference is approximately the average management fee. Over time, we find that the average abnormal performance and the share of funds that have significant outperformance have decreased while the share of significant underperformance has increased. Since the study of fund performance started in the 1960's the twin questions has been; does funds outperform the market and is this a result of pure chance or are managers skilled? Since we observe funds with significant positive and negative abnormal performance, we want to know if the results can attributed to luck or skill. We employ the latest technique, a bootstrap simulation, to test for skill or luck. This is the first study to employ the bootstrap to distinguish skill from luck in sample of Swedish funds. By ranking funds on performance after costs, we find that the performance of the majority of funds can be attributed to skill or "bad skill". The evidence is strongest in the top 95th percentile and above, and from the bottom 50th percentile and below.

Idag äger många svenskar andelar i olika fonder. Detta beror delvis på att det allmänna pensionssystemet i Sverige idag består av en premiepensionsdel, där individen kan göra ett individuellt val hur dennes pensionspengar ska investeras. Gemensamt för investerare är att de vill erhålla en god avkastning. Ett vanligt sätt att bedöma förväntad avkastning i en finansiell tillgång kallas Capital Asset Pricing Model, eller CAPM. Detta är en mycket behandlad, debatterad och även kritiserad modell. Förutom CAPM utgår studien från en nyare teori som heter Black Swan theory. År 2007 presenterade Taleb sin teori om Black Swan. Han menar att en Black Swan är en händelse som avviker från det normala, har långtgående effekter och som efteråt får naturliga förklaringar. Ett potentiellt Swan-fenomen är finanskrisen. Om nu finanskrisen kan räknas som ett Swan-fenomen innebär det att den finansiella verkligheten har förändrats. Om nu den finansiella världen har påverkats så finns det anledning att tro att även modeller och deras överensstämmelse med verkligheten har påverkats. Det är detta vi i denna studie ämnar att undersöka och mynnar därför ut i frågeställningen: Var CAPM en fungerande modell gällande Sverigefonder åren 2005-2014? Studiens syfte lyder enligt följande: Att undersöka hur väl CAPM:s prediktion av förväntad avkastning i Sverigefonder stämmer överens med den faktiska avkastningen. Vi vill också genom undersökningen se ifall denna överensstämmelse har förändrats under vår undersökningsperiod och ifall detta i sådana fall kan kopplas till ett potentiellt Swan-fenomen som finanskrisen. Med teoretisk utgångspunkt i modern portföljvalsteori, CAPM och Black Swan theory undersöks sambandet mellan betavärde och avkastning i Sverigefonder. Vi utgår från en positivistisk kunskapssyn och genom en deduktiv ansats genomförs en regressionsanalys för att svara på vår frågeställning. Det empiriska materialet består av månadsavkastning från de valda fonderna, riskfri ränta och marknadsindexets avkastning. I vår studie hade vi endast ett år med signifikant positivt samband mellan beta och avkastning (som försvann i och med heteroskedasticitet i datamaterialet). Vi hade däremot ett år med negativt signifikans (2014) samtidigt som en positiv marknad, vilket inte överensstämmer med tidigare empiriska undersökningar. Vissa år ser det ut som att det finns samband genom att grafiskt titta på våra figurer i resultatdelen, men det är även år där det motsatta förhållandet finns. Med resultaten och analysen i åtanke kan vi inte förkasta nollhypotesen 2005-2013 (det finns inget samband mellan beta och avkastning).

Submitted by EDISON AMERICO HUARSAYA TITO (edison.tito@gmail.com) on 2016-06-23T14:02:55Z No. of bitstreams: 1 EdisonMscFGV(20160619).pdf: 2366030 bytes, checksum: 231be2cde1e7f8e01331fddff3f227a1 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2016-06-23T14:36:07Z (GMT) No. of bitstreams: 1 EdisonMscFGV(20160619).pdf: 2366030 bytes, checksum: 231be2cde1e7f8e01331fddff3f227a1 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2016-06-24T12:51:11Z (GMT) No. of bitstreams: 1 EdisonMscFGV(20160619).pdf: 2366030 bytes, checksum: 231be2cde1e7f8e01331fddff3f227a1 (MD5) / Made available in DSpace on 2016-06-29T12:06:48Z (GMT). No. of bitstreams: 1 EdisonMscFGV(20160619).pdf: 2366030 bytes, checksum: 231be2cde1e7f8e01331fddff3f227a1 (MD5) Previous issue date: 2016-06-03 / This work has the objective to address the problem of asset allocation (portfolio analysis) under a Bayesian perspective. For this it was necessary to review all the theoretical analysis of the classical mean-variance model and following identify their deficiencies that compromise its effectiveness in real cases. Interestingly, its biggest deficiency this not related to the model itself, but by its input data in particular the expected return calculated on historical data. To overcome this deficiency the Bayesian approach (Black-Litterman model) treat the expected return as a random variable and after that builds a priori distribution (based on the CAPM model) and a likelihood distribution (based on market investor’s views) to finally apply Bayes theorem resulting in the posterior distribution. The expected value of the return of this posteriori distribution is to replace the estimated expected return calculated on historical data. The results showed that the Bayesian model presents conservative and intuitive results in relation to the classical model of mean-variance. / Este trabalho tem com objetivo abordar o problema de alocação de ativos (análise de portfólio) sob uma ótica Bayesiana. Para isto foi necessário revisar toda a análise teórica do modelo clássico de média-variância e na sequencia identificar suas deficiências que comprometem sua eficácia em casos reais. Curiosamente, sua maior deficiência não esta relacionado com o próprio modelo e sim pelos seus dados de entrada em especial ao retorno esperado calculado com dados históricos. Para superar esta deficiência a abordagem Bayesiana (modelo de Black-Litterman) trata o retorno esperado como uma variável aleatória e na sequência constrói uma distribuição a priori (baseado no modelo de CAPM) e uma distribuição de verossimilhança (baseado na visão de mercado sob a ótica do investidor) para finalmente aplicar o teorema de Bayes tendo como resultado a distribuição a posteriori. O novo valor esperado do retorno, que emerge da distribuição a posteriori, é que substituirá a estimativa anterior do retorno esperado calculado com dados históricos. Os resultados obtidos mostraram que o modelo Bayesiano apresenta resultados conservadores e intuitivos em relação ao modelo clássico de média-variância.