This thesis aims to identify main driving market risk factors of different strategies implemented by hedge funds by looking at correlation coefficients, implementing Principal Component Analysis and analyzing "loadings" for first three principal components, which explain the largest portion of the variation of hedge funds' returns. In the next step, a stepwise regression through iteration process includes and excludes market risk factors for each strategy, searching for the combination of risk factors which will offer a model with the best "fit", based on The Akaike Information Criterion - AIC and Bayesian Information Criterion - BIC. Lastly, to avoid counterfeit results and overcome model uncertainty issues a Bayesian Model Average - BMA approach was taken. Key words: Hedge Funds, hedge funds' strategies, market risk, principal component analysis, stepwise regression, Akaike Information Criterion, Bayesian Information Criterion, Bayesian Model Averaging Author's e-mail: aleksaradosavcevic@gmail.com Supervisor's e-mail: mp.princ@seznam.cz

This diploma thesis deals with external audit of banks in Czech Republic. The main objective of this thesis is to describe in detail the techniques, strategy and methods which are used by the external auditor during the engagement and to compare them with those used in internal audit. The main emphasis during the stage of interim audit is put on control of risk management activities. The first part of this diploma thesis is devoted to theoretical issues and legal aspects of audit profession. Specific characteristics of banking institutions audit including major risks and the scope of external auditor's activities are described in the second chapter of the thesis. Third part describes the main stages, used methodology and the process of external audit of banking institutions. Last chapter is devoted to a brief description of the internal auditor's activities in the bank and their comparison with the external audit.

The goal of my thesis "Audit of a bank" is to identify and describe the area of external and internal audit in banking and to focus on specifics of bank audit in comparison to external audit of commercial enterprise. The first part is focused on audit of financial statements. In the second part are described the specifics of banking segment. Third part describes internal audit and cooperation between external and internal audit. In the last part there are described methods applied during the audit of the bank.

This diploma thesis introduces the measures of network connectedness in the context of asset pricing. It proposes an asset pricing model in which the factor of connectedness is included as one of the risk factors together with the three Fama-French factors. The goal of the analysis is to examine whether the con- nectedness represents a signifcant risk factor that should be considered while determining the risk premium of the portfolio in diferent sectors in the market. Using the realized volatilities and returns of 496 assets of SP 500 index over the period 2005 - 2018, that are divided into 11 sectors, we frstly determine the linkages of connectedness between the assets in the same sector. Applying Fama-MacBeth two-step regression model, we explore the signifcance of the connectedness factor for the determination of the risk premium. We argue that the sector overall connectedness represents a signifcant risk in most of the sec- tors and should be therefore taken into account by the investors in all sectors. Moreover, the total directional connectedness that captures the spillover of shocks to one asset from the other assets in the sector, is a signifcant risk fac- tor that should increase the risk premium of the portfolio, especially in sectors such as the fnancial, health care, consumer...

Since the financial crisis of 2008, the risk awareness has increased in the -financial sector. Companies are regulated with regards to risk exposure. These regulations are driven by the Basel Committee that formulates broad supervisory standards, guidelines and recommends statements of best practice in banking supervision. In these regulations companies are regulated with own funds requirements for market risks. This thesis constructs an internal model for risk management that, according to the "Capital Requirements Regulation" (CRR) respectively the "Fundamental Review of the Trading Book" (FRTB), computes the regulatory capital requirements for market risks. The capital requirements according to CRR and FRTB are compared to show how the suggested move to an expected shortfall (ES) based model in FRTB will affect the capital requirements. All computations are performed with data that have been provided from a power trading company to make the results fit reality. In the results, when comparing the risk capital requirements according to CRR and FRTB for a power portfolio with only linear assets, it shows that the risk capital is higher using the value-at-risk (VaR) based model. This study shows that the changes in risk capital mainly depend on the different methods of calculating the risk capital according to CRR and FRTB respectively and minor on the change of risk measure. / I samband med finanskrisen 2008 har riskmedvetenheten ökat i den finansiella sektorn. Företag regleras mot riskexponering av föreskrifter som drivs av Baselkommittén, de utformar tillsynsstandarder och riktlinjer samt rekommenderar åtgärder av bästa praxis. I dessa föreskrifter regleras företag av kapitalbaskrav mot marknadsrisker. I det här examensarbetet beskrivs processen för att ta fram en intern riskmodell, enligt "Capital Requirements Regulation"(CRR) respektive Fundamental Review of the Trading Book"(FRTB), för att beräkna de lagstadgade kapitalkraven mot marknadsrisker. Kapitalbaskraven enligt regelverken jämförs för att förstå hur det föreslagna bytet till en expected shortfall (ES) baserad modell i FRTB kommer att påverka kapitalbaskraven. I alla beräkningar anv änds data från ett elhandelsföretag för att göra resultaten mer intressanta och verklighetsanpassade. I resultatdelen, vid jämförelse av riskkapitalkraven enligt CRR och FRTB för en energiportfölj med endast linjära tillgångar kan det ses att riskkapitalet blir högre med en value-at-risk (VaR) baserad modell. Den viktigaste upptäckten med detta är att skillnaden i riskkapitalkraven inte främst beror på de olika riskmåtten utan snarare de olika metoderna för att beräkna riskkapitalet enligt CRR och FRTB.

The Own Risk and Solvency Assessment, ORSA, is referred to as the heart of the regulation to be for European insurance companies - Solvency II. The aim of the ORSA process is to provide an overall and holistic view of the insurer’s risks by analyzing their current financial status and business strategy at hand. There is no predefined way to implement this process, which means that the companies are forced to develop a model themselves, as they see fit. In collaboration with a regional insurance company in Sweden we develop a structure and framework for an ORSA-model, flexible enough to be used by similar insurers yet standardized enough to overcome the issue of constrained resources within these smaller organizations. We apply a risk-factor based approach and tie together a balance sheet projection and stress testing, designed to be further developed as the individual insurer see fit. The suggested approach yields partially satisfying results and we consider the model to be particularly well-suited for assessing risk in the context of the small, non-life insurer. / Den egna risk- och solvensutvärderingen, ORSA, kallas hjärtat av det kommande regelverket för europeiska försäkringsbolag - Solvens II. Syftet med ORSA-processen är att ge en övergripande helhetsbild av försäkringsgivarens risker genom att analysera deras finansiella ställning och affärsstrategi. Det finns inget fördefinierat sätt att genomföra denna process, vilket innebär att företagen tvingas att utveckla en modell på egen hand, på ett sätt som de finner lämpligt. I samarbete med ett regionalt försäkringsbolag i Sverige utvecklar vi en struktur och en grund för en ORSA-modell. En modell som är tillräckligt flexibel för att kunna användas av liknande försäkringsgivare men samtidigt standardiserad nog att lösa problemet med begränsade resurser i dessa mindre organisationer. Vi tillämpar en riskfaktor-baserad metod, prognostiserar resultat- och balansräkning för bolaget och utför stresstester. Metoden är utformad för att utvecklas vidare av den enskilde försäkringsgivaren så som de finner lämpligt. Den föreslagna metoden ger delvis tillfredsställande resultat och vi anser att det är en grund väl lämpad att använda som utgångspunkt för att konstruera riskmätningsmetoder för små, skadeförsäkringsbolag.

In dieser Dissertation werden neue Methoden zur Erfassung zweier Risikoarten entwickelt. Markrisiko ist definiert als das Risiko, auf Grund von Wertrückgängen in Wertpapierportfolios Geld zu verlieren. Systemisches Risiko bezieht sich auf das Risiko des Zusammenbruchs eines Finanzsystems, das durch die Notlage eines einzelnen Finanzinstituts entsteht. Im Zuge der Finanzkrise 2007–2009 realisierten sich beide Risiken, was weltweit zu hohen Verlusten für Investoren, Unternehmen und Steuerzahler führte. Vor diesem Hintergrund besteht sowohl bei Finanzinstituten als auch bei Regulierungsbehörden Interesse an neuen Ansätzen für das Risikomanagement. Die Gemeinsamkeit der in dieser Dissertation entwickelten Methoden besteht darin, dass unterschiedliche Quantilsregressionsansätze in neuartiger Weise für das Finanzrisikomanagement verwendet werden. Zum einen wird nichtparametrische Quantilsregression mit Extremwertmethoden kombiniert, um extreme Markpreisänderungsrisiken zu prognostizieren. Das resultierende Value at Risk (VaR) Prognose- Modell für extremeWahrscheinlichkeiten wird auf internationale Aktienindizes angewandt. In vielen Fällen schneidet es besser ab als parametrische Vergleichsmodelle. Zum anderen wird ein Maß für systemisches Risiko, das realized systemic risk beta, eingeführt. Anders als bereits existierende Messgrößen erfasst es explizit sowohl Risikoabhängigkeiten zwischen Finanzinstituten als auch deren individuelle Bilanzmerkmale und Finanzsektor-Indikatoren. Um die relevanten Risikotreiber jedes einzelnen Unternehmens zu bestimmen, werden Modellselektionsverfahren für hochdimensionale Quantilsregressionen benutzt. Das realized systemic risk beta entspricht dem totalen Effekt eines Anstiegs des VaR eines Unternehmens auf den VaR des Finanzsystems. Anhand von us-amerikanischen und europäischen Daten wird gezeigt, dass die neue Messzahl sich gut zur Erfassung und Vorhersage systemischen Risikos eignet. / This thesis develops new methods to assess two types of financial risk. Market risk is defined as the risk of losing money due to drops in the values of asset portfolios. Systemic risk refers to the breakdown risk for the financial system induced by the distress of individual companies. During the financial crisis 2007–2009, both types of risk materialized, resulting in huge losses for investors, companies, and tax payers all over the world. Therefore, considering new risk management alternatives is of interest for both financial institutions and regulatory authorities. A common feature of the models used throughout the thesis is that they adapt quantile regression techniques to the context of financial risk management in a novel way. Firstly, to predict extreme market risk, nonparametric quantile regression is combined with extreme value theory. The resulting extreme Value at Risk (VaR) forecast framework is applied to different international stock indices. In many situations, its performance is superior to parametric benchmark models. Secondly, a systemic risk measure, the realized systemic risk beta, is proposed. In contrast to exististing measures it is tailored to account for tail risk interconnections within the financial sector, individual firm characteristics, and financial indicators. To determine each company’s relevant risk drivers, model selection techniques for high-dimensional quantile regression are employed. The realized systemic risk beta corresponds to the total effect of each firm’s VaR on the system’s VaR. Using data on major financial institutions in the U.S. and in Europe, it is shown that the new measure is a valuable tool to both estimate and forecast systemic risk.

Made available in DSpace on 2016-04-25T18:39:30Z (GMT). No. of bitstreams: 1 Dissert_CFaR_JM.pdf: 425630 bytes, checksum: 678183a4d0bf40cbf1b65565fa0c92dc (MD5) Previous issue date: 2005-07-11 / The main goal of this dissertation is the study of the utilization of CFaR Cash Flow at Risk. CFaR is market risk assessing tool that is intended to simulate the value at risk of a future cash flow, operational and financial, given a confidence interval. The main idea is to present CFaR model applied to a non-financial company from the electrical sector a GENCO, Generation Company - , where either the rates and indexes of its financial assets and liabilities as well the demand for its services can be assumed random variables, in a process of statistical modeling for measurement of its cash flow s likely range of variation in the following fiscal year. Besides CFaR itself, other risk numbers will take part in the analysis, as EaR - Earnings at Risk - , that is the P&L of the company, with a given probability of occurrence. EBITDA at Risk, the minimum statistical value for the EBITDA figure with a given probability of occurrence, will be also calculated. / O objetivo geral da pesquisa é o estudo da utilização do CFaR, uma ferramenta de controle de risco de mercado que busca simular o valor em risco do fluxo de caixa futuro, tanto operacional como financeiro de uma empresa, dentro de um intervalo de confiança pré-definido. A idéia é apresentar o modelo CFaR aplicado a uma empresa não financeira, em especial uma empresa do setor elétrico geradora de energia, onde tanto os indexadores de seus ativos e passivos financeiros como a demanda por seus serviços podem ser tratados como variáveis aleatórias, num processo de modelagem estatística para mensuração da possível faixa de variação de seu fluxo de caixa no(s) exercício(s) subseqüentes. Além do CFaR propriamente dito, farão parte da análise o EaR (do inglês Earnings at Risk), que é o lucro líquido da empresa com dada probabilidade de ocorrência e o EBITDA em risco, que é o mínimo estatístico para a variável EBITDA (Receita antes de Juros, Imposto de Renda, Depreciação e Amortização) também com determinada probabilidade de ocorrência.

This master thesis deals with the area of external audit of the bank in the Czech Republic. Its goal is to identify and describe the specifics making the procedures during bank's financial statements audit different from those applied by non-financial commercial subjects. The first part is focused on the general framework of the external audit. The second part describes main features of the bank identifying several risks connected with the business which have a significant influence on the approach used by the auditors. The third part describes the methodology applied by auditors during the audit of the bank.

<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>