The role that banks as key intermediaries play in the modern economy activities is unquestionable, it is admitted that banks remain one of the key financial intermediaries that provide a variety of services in the economy of every state. However, not all financial intermediaries have a significant impact on modern economies, only a stable and profitable banking sector can adequately play the role of financial intermediary in economy. The bank, as an intermediary in the modern economy must be profitable, and this profitability depends on a number of factors that are referred to in this study as determinants of bank profitability. The effect of internal and external determinants of the bank profitability in South Africa is the main focus of this study. It utilized annual time series internal and external data for the period 2001 to 2013. Quantitative approach methodology using secondary data and panel data technique to measure the impact of the determinants was used in the study. The sample consists of nine banks, followed for 12 years and sampled annually. The results for bank-specific consist of four statistically significant variables such as bank size, non-interest income and non-interest expense and credit risk and four non-significant variables (equity capital, loan, saving deposit, fixe term deposit) also the industry-specific consist only one significant variable (market concentration) while macro-economic determinants consist of three non-significant variables (economic growth, inflation, and lending interest rate). In conclusion, the empirical result shows that the bank specific factors are directly controlled by the Management thereby it has a positive correlation to the bank profitability while the industry specific (market concentration) also positively affects the bank profitability. However, the macroeconomic variables which are beyond the scope of management control were non-significant to profitability but show positive sign. Therefore, the variables which are significant affect positively the bank profitability, and the non-significant variables affect the bank profitability negatively. The findings were consistent with mixed results found in prior literature. / Business Management / M. Com. (Business Management)

L'ampleur de la Grande Récession a suscité un regain d'intérêt pour l'analyse conjoncturelle, plus particulièrement du cycle économique. Notre thèse participe de ce renouveau d'attention pour l'étude des fluctuations économiques.Après une présentation générale des modèles à changements de régime dans le chapitre 1, le chapitre suivant propose une chronologie du cycle des affaires de l'économie française sur la période 1970-2009. Trois méthodes de datation sont utilisées à cette fin : la règle des deux trimestres consécutifs de croissance négative, l'approche non paramétrique de Bry et Boschan (1971) et le modèle markovien à changements de régime de Hamilton (1989). Les résultats montrent que l'existence de ruptures structurelles peut empêcher ce dernier modèle d'identifier correctement les points de retournement cycliques. Cependant, quandces ruptures sont prises en considération, le calendrier des récessions françaises obtenu à l'aide du modèle d'Hamilton coïncide largement avec celui obtenu par les deux autres méthodes. Le chapitre 3 développe une analyse de la non-linéarité dans le modèle à changements de régime en utilisant un ensemble de tests non-standards. Une étude par simulation Monte Carlo révèle qu'un test récemment proposé par Carrasco, Hu et Ploberger (2013) présente une faible puissance pour des processus générateurs des données empiriquement pertinents et ce, lorsqu'on tient compte de l'autocorrélation sous l'hypothèse nulle. En revanche, untest "bootstrap" paramétrique basé sur le rapport des vraisemblances a, pour sa part une puissance plus élevée, ce qui traduit l'existence probable de non-linéarités significatives dans le PIB réel trimestriel de la France et des Etats-Unis. Quand il s'agit de tester un changement de régime en moyenne ou en constante, il est important de tenir compte de l'autocorrélation sous l'hypothèse nulle de linéarité. En effet, dans le cas contraire, un rejet de la linéarité pourrait simplement refléter une mauvaise spécification de la persistance des données, plutôt que d'une non-linéarité inhérente.Le chapitre 4 examine une question importante : la considération de ruptures structurelles dans les séries améliore-t-elle la performance prédictive du modèle markovien relativement à son homologue linéaire ? La démarche adoptée pour y répondre consiste à combiner les prévisions obtenues pour différentes périodes d'estimation. Voici le principal résultat dû à l'application de cette démarche : la prise en compte des données provenant des intervalles de temps précédant les ruptures structurelles et la "Grande Modération" améliore les prévisions basées sur des données tirées exclusivement de ces épisodes. De la sorte, les modèles à changements de régime s'avèrent capables de prédire la probabilité d'événements tels que la Grande Récession, avec plus de précision que ses homologues linéaires.Les conclusions générales synthétisent les principaux acquis de la thèse et évoqueplusieurs perspectives de recherche future. / The severity of the Great Recession has renewed interest in the analysis of business cycles. Our thesis pertains to this revival of attention for the study of cyclical fluctuations. After reviewing the regime-switching models in Chapter one, the following chapter suggests a chronology of the classical business cycle in French economy for the 1970-2009 period. To that end, three dating methodologies are used: the rule of thumb of two consecutive quarters of negative growth, the non-parametric approach of Bry and Boschan (1971), and the Markov-switching approach of Hamilton (1989). The results show that,omitted structural breaks may hinder the Markov-switching approach to capture business-cycle fluctuations. However, when such breaks are allowed for, the timing of the French recessions provided by the Markov-switching model closely matches those derived by the rule-based approaches.Chapter 3 performs a nonlinearity analysis inMarkov-switching modelling using a set of non-standard tests. Monte Carlo analysis reveals that a recently test proposed by Carrasco, Hu, and Ploberger (2013) for Markov switching has low power for empirically-relevant data generating processes when allowing for serial correlation under the null. By contrast, a parametric bootstrap likelihood ratio (LR) test of Markov switching has higher power in the same setting, providing stronger support for nonlinearity in quarterly French and U.S. real GDP. When testing for Markov switching in mean or intercept of an autoregressive process, it is important to allow for serial correlation under the null hypothesis of linearity.Otherwise, a rejection of linearity could merely reflect misspecification of the persistence properties of the data, rather than any inherent nonlinearity.Chapter 4 examines whether controlling for structural breaks improves the forecasting performance of the Markov-switching models, as compared to their linear counterparts.The approach considered to answer this issue is to combined forecasts across different estimation windows. The outcome of applying such an approach shows that, including data from periods preceding structural breaks and particularly the "Great Moderation" improves upon forecasts based on data drawn exclusively from these episodes. Accordingly, Markov-switching models forecast the probability of events such as the Great Recession more accurately than their linear counterparts.The general conclusions summarize the main results of the thesis and, suggest several directions for future research.

L'évaluation des coûts et des avantages du système de banque centrale dépend fondamentalement de l'approche analytique adoptée. Les approches instrumentalistes et positivistes, discutées dans la première partie de cette thèse, se concentrent principalement sur l'importance des prédictions empiriques quantitatives. Ces approches tendent à mettre l'accent sur les conséquences immédiates et facilement mesurables. Les effets bénéfiques de court-terme des politiques monétaires expansionnistes sont ainsi étudiés en détail par les partisans de ces approches. Les critiques internes de ces dernières sont basées sur la reconnue ignorance des potentiels effets secondaires déstabilisateurs. Les coûts engendrés par les banques centrales sont vus principalement comme une perte de bien être due à une activité économique diminuée où une inflation des prix trop élevée résultant d'une déviation vis-à-vis de la politique monétaire optimale. L'approche causale-réaliste, étudiée dans la deuxième partie, donne un rôle plus restreint à la méthode empirique quantitative. Cette ligne de recherche permet une extension fructueuse de l'analyse coûts bénéfices à des notions plus abstraites qui peuvent être étudiées qualitativement tels le risque systémique et l'aléa moral. Cette étude défend que le régime moderne de banque centrale a alimenté le développement de ces deux phénomènes. Nous analysons comment la récurrence du cycle économique et la redistribution de la richesse au profit des plus aisés sont des effets importants de l'expansion du crédit. Une explication alternative de la stagflation basée sur le processus de l'intervention politique en réponse à ces conséquences inattendues est proposée. / The evaluation of the costs and benefits of central banking is to a considerable degree dependent on the analytical approach pursued.Instrumentalist-positivist approaches, as discussed in the first part of the thesis, emphasize the importance of empirical-quantitativepredictions for the development of economic models. Within this line of research, there exists a strong emphasis on those consequences of central banking that have an immediate and readily measurable empirical counterpart in the observed economic environment.Hence, the beneficial short-term effects of expansionary monetary policy in terms of increased economic activity are studied in detail and are well understood by proponents of these approaches. Internal counterarguments are based on acknowledged ignorance about potentially destabilizing side-effects. The costs of central banking are essentially seen as welfare losses from decreasedeconomic activity or excessive price inflation as results of deviations from an optimal monetary policy path. The causal- realist approach, as studied in the second part, assigns a narrower role to quantitative-empirical tools of analysis. This line of research allows for a fruitful extension of the cost-benefit analysis to more abstract notions such as systemic risk and moral hazard that can be analyzed qualitatively. It is argued that modern central banking is a contributing factor to both. Moreover, business cycles and wealth redistribution from bottom to top as important effects of credit expansion are analyzed. An alternative explanation of stagflation based on the process of political interventionism in response to unintended consequences of monetary policy is proposed.

The aim of thesis is to analyze the development of the national economy of Iceland in the period 1994-2013. In addition to the reasons for the collapse of the banking sector thesis examines the way the state handled the situation. The theoretical part deals with the theory of the national economy, the characteristics of the main macroeconomic aggregates, the current banking system and selected theories of the business cycle. The practical part presents economic and political characteristics of Iceland. It is followed by main analysis divided into two periods, each of which contains an analysis of the legal framework, institutional provision, development of key macroeconomic aggregates and a separate chapter devoted to the development of the banking sector. Research suggests that the overheating of the economy occurred due to the extreme expansion of the banking sector, expansionary fiscal policy and inappropriate monetary policy of the central bank. The State had to seek the help of the International Monetary Fund during the crisis. There has been introduction of capital controls to stabilize the exchange rate. The state let the banking sector go bankrupt and created new domestic banks. Subsequently fiscal indicators were stabilized, but not at the expense of the needy and households. The business cycle in Iceland is best described by the Financial instability hypothesis.

The thesis describes and analyses the problem of the global financial and economic crisis and its influence on the Russian economy. It constitutes a synthesis of main approaches to the crisis' examination from the years 2008-2011 and develops its own theoretical model for explaining the crisis' emergence and spreading in an open economy, and also analyses in detail the state of the Russian economy and anti-crisis measures. The thesis is based on assumptions that the crisis could have been explained and foreseen theoretically with the help of macroeconomic models, that the anti-crisis policy was in majority of cases inefficient, and that the problems of the Russian economy were caused not only by the global recession, but also by its internal imbalances. On the methodological side, the thesis is based on the ideas of the Austrian and Keynesian economics (the Austrian business cycle model and post- and neo-Keynesian branches) and the financial crises economics and partly on selected thoughts of the Marxian economics, and is divided into four chapters. In the first chapter, the attention is given to the four main heterodox theoretical approaches to explaining financial and economic crises and to the development of a synthetic model. In the second chapter, the reasons, course and main previsions of the U.S. and global crisis are examined and the synthetic model from the first chapter is empirically tested. In the third chapter, the degree of the crisis' influence on different groups of countries is estimated, followed by a description of its main transmission channels and an analysis of anti-crisis measures at the global level. The fourth chapter is dedicated to the specifics of the Russian economy, its development during the crisis and to the anti-crisis policy of the Russian government and of the Central Bank of Russia. The thesis attempts to fill the gap in the existing economic literature by presenting new findings in the above-mentioned areas.

The submitted thesis is composed of three different articles dealing with issues of financial innovation, credit constraints, and their impact on welfare. The first article treats the contemporary theoretical grasp of the interaction between the financial and real economies, focusing primarily on the role of modern financial innovation in the business cycle. For this purpose, a framework promoted by the Regulation School and Post Keynesians is frequently employed, whilst some other unorthodox streams and mainstream economics are partially discussed as well. All of them aspire -- either per se or under the pressure of the contemporary economic agenda -- to clarify the evolution of financial innovation and credit in the recent era. It is generally found that certain consensus across the schools of economic thought exists, but some of them have done a better job in predicting the consequences of the financial innovation for real economic activity than others. Further, two dynamic macroeconomic models are developed in order to, inter alia, identify the possible effects of extended credit availability presented in the former article on the example of the housing market, and simulate the effects of housing price changes on general welfare. Clearly, this part of the thesis exhibits the indirect consequences of financial innovation as, once again, being rather ambiguous: after having partially unleashed the unprecedented credit granting in the economy, impacting interest rates and loan-to-value ratios, with a subsequent impact on housing prices, it has also influenced credit constrained and unconstrained households in a different manner. Based on an analysis of the situation using partial and general equilibrium analytical frameworks, two somewhat different conclusions are drawn up with respect to the occurrence of various shocks in the models. Under the partial equilibrium framework the effects of relaxation of credit constraints are visible and quite straightforward, indicating relatively simple and intuitive relationship between the price appreciation and general welfare. This is primarily perspicuous for the credit constrained households. In the general equilibrium framework, on the other hand, the transitional dynamics of shock proliferation is more transparent and the impact on credit constrained vs. unconstrained households is more ambiguous and much different from the basic intuition used in the article anchored in the partial equilibrium toolbox.

The thesis focuses on the issue of individuals' preferences regarding the acquisition of a child during the business cycle expressed in unemployment rates for men and women. Fixed effects model involving robust estimates of standard deviations on a panel dataset tested for the period 1980-2012 confirmed the significance of the relationship between sex-specific unemployment rates and fertility rate of the United States of America. The results of the analysis show a negative relationship documenting pro-cyclical nature of the fertility. There is a less willingness of couples to conceive a child with the growth in unemployment. It does not show the prevalence of substitution effect of reducing opprtunity costs for women during the recession over the effect of reduction in income. Among other statistically significant variables that affect fertility belong the degree of attainment of university education, the poverty rate and abortion rate.

This thesis aims to investigate to what extent the quantitative easing monetary policy tool, applied by the Riksbank, contributed to abnormal returns at the Swedish stock market during Covid-19. The chosen time period is 2007-2022, including the period before and after the implementation of quantitative easing in Sweden in 2015. Furthermore, the chosen time period includes two crises, the global financial crisis (GFC) and the Covid-19 crisis. Two artificial portfolios are created, one representing a high-risk portfolio and the other representing a low-risk portfolio. The thesis applies the ADL error correction model to estimate a potential relationship amongst QE and the returns for each of the computed portfolios. Results show a short-run relationship for both the high-risk and the low-risk portfolio. From the long-run perspective, there is only a relationship found concerning the high-risk portfolio. A modified CAPM-model is used as an interpretation when calculating abnormal returns, where the growth rate of industrial production reflects the expected return. Results show the presence of QE and abnormal returns for both portfolios during the time period of Covid-19, 2020-2022. / Denna uppsats syftar till att undersöka i vilken utsträckning Riksbankens kvantitativa lättnader bidrog till abnorm avkastning på den svenska aktiemarknaden under Covid-19. Den valdat idsperioden är 2007 – 2022, vilket inkluderar perioden före och efter genomförandet av kvantitativa lättnader i Sverige. Vidare inkluderar den valda tidsperioden två kriser, den globala finanskrisen samt Covid-19-krisen. Två artificiella portföljer konstrueras, där en representerar en högriskportfölj och den andra representerar en lågriskportfölj. Studien tillämpar en ADL error correction modell för att undersöka huruvida det existerar ett samband mellan kvantitativa lättnader och avkastningen för var och en av portföljerna. Resultaten visar ett kortsiktigt förhållande för både högrisk- och lågriskportföljen. Ur det långsiktiga perspektivet hittades endast ett samband för högriskportföljen. En modifierad CAPM-modell används vid beräkning av abnorm avkastning, där variabeln för den industriella produktionstillväxten reflekterar den förväntade avkastningen. Resultaten visar förekomsten av abnorm avkastning i samband de kvantitativa lättnader som genomfördes under Covid-19 för båda portföljerna under tidsperioden 2020–2022.

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In order to be compliant with the Basel regulations, banks need to compute two probabilities of default (PDs): point-in-time (PIT) and through-the-cycle (TTC). The aim is to explain fluctuations in the rating system, which are expected to be affected by systematic and idiosyncratic factors. Being able to, in an objective manner, determine whether the rating system is taking the business cycle - i.e the systematic factors - into account when assigning a credit rating to an obligor is useful in order to evaluate PD-models. It is also necessary for banks in order to use their own risk parameters and models instead of standardized models, which is desirable for most banks as it could lower capital requirements. This thesis propose a new measure for the degree of PIT-ness. This measure aims to be especially useful when examining a low default portfolio. The proposed measure is built on a markovian approach of the credit rating system. In order to find a suitable measure for a low default portfolio, the proposed measure takes into account credit rating migrations, the seasonal component of the business cycle and time series analysis. An analysis were performed between two different credit portfolios in order to interpret results. The results demonstrated that the degree of PIT-ness was lower in a low default portfolio in comparison with a sampled portfolio which displayed a greater amount of rating migrations with a larger magnitude. The importance of considering relevant macroeconomic variables to represent the business cycle was mentioned amongst the most important factors to consider in order to receive reliable results given the proposed measure. / För att uppfylla Basel regelverken behöver banker beräkna två sannolikheter för fallissemang (PD): point-in-time (PIT) och through-the-cycle (TTC). Målet är att förklara fluktuationer i betygssystemet, som förväntas påverkas av systematiska och idiosynkratiska faktorer. Att på ett objektivt sätt kunna avgöra om betygssystemet tar hänsyn till affärscykeln - dvs de systematiska faktorerna - när man tilldelar en kredittagare ett kreditbetyg är användbart för att utvärdera PD-modeller. Detta är också nödvändigt för att banker ska få använda sina egna riskparametrar och modeller istället för standardiserade modeller, vilket är önskvärt för de flesta banker eftersom det kan sänka kapitalkraven. Denna avhandling föreslår ett nytt mått för att mäta graden av PIT-ness. Detta mått syftar till att vara särskilt användbart när man utvärderar en kreditportfölj med få fallissemang. Det föreslagna måttet är byggt på en Markov tillämpning på kreditbetygssystemet. För att hitta ett lämpligt mått för en kreditportfölj med få fallissemang, tar det föreslagna måttet hänsyn till kreditbetygsmigrationer, säsongskomponenten i affärscykeln och tidsserieanalys. En analys utfördes mellan två olika kreditportföljer för att tolka resultaten. Resultaten visade att graden av PIT-ness var lägre i en kreditportfölj med få fallissemang jämfört med en testportfölj som uppvisade en större mängd kreditbetygsmigrationer med en större magnitud. Vikten av att beakta relevanta makroekonomiska variabler för att representera affärscykeln nämndes bland de viktigaste faktorerna att beakta för att få tillförlitliga resultat givet det föreslagna måttet.