Empirical analysis of the lending decisions of Chinese formal financial institutions in rural areas

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Credit risk of financial institutions

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Systemic risk for financial institutions in UK

Marginal Expected Shortfall (MES) is an approach used to measure the systemic risk financial institutions face. It estimates how significantly systemic events (poor market performance, out of 1.6 times Standard Deviation borders) are expected to affect market capitalization of a particular firm. The concept was developed in the late 2000s and is widely used for cross-country comparisons of financial firms. For the purposes of generalization of this technique it is often used with market data containing non-domestic currencies for some financial firms. That may lead to results having currency noise in them as it is shown for 77 UK financial firms in our analysis between 2001 and 2014.

Banco BPI SA financial institutions

Equity research report

Monetary policy strategies, financial institutions and financial markets in the Middle East and North Africa: an overview

Three polar types of monetary architecture are identified together with the institutional and market infrastructure required for each type and the kinds of monetary policy feasible in each case: a ‘basic’ architecture where there is little or no financial system as such but an elementary central bank which is able to fix the exchange rate, as a substitute for a proper monetary policy; a ‘modern’ monetary architecture with developed banks, financial markets and central bank where policy choices include types of inflation targeting; and an ‘intermediate’ monetary architecture where less market-based monetary policies involving less discretion are feasible. A range of data is used to locate the various MENA countries with respect to these polar types. Five countries (Iran, Libya, Sudan, Syria and Yemen) are identified as those with the least developed monetary architecture, while Bahrain and Jordan are identified as the group at the other end of the spectrum, reaching beyond the intermediate polar type in some dimensions but not others. The countries in between vary on different dimensions but all lie between basic and intermediate architectures. The key general findings are that the MENA countries are both less differentiated and less ‘developed’ than might have been expected. The paper ends by calling for research on the costs and benefits of different types of monetary architecture.

Three essays in risk management in financial institutions

The choice to adopt risk-sensitive measurement approaches for operational risks: the case of Advanced Measurement Approach under Basel II New Capital Accord This paper investigates the choice of the operational risk approach under Basel II requirements and whether the adoption of advanced risk measurement approaches allows banks to save capital. Among the three possible approaches for operational risk measurement, the Advanced Measurement Approach (AMA) is the most sophisticated and requires the use of historical loss data, the application of statistical tools, and the engagement of a highly qualified staff. Our results provide evidence that the adoption of AMA is contingent on the availability of bank resources and prior experience in risk-sensitive operational risk measurement practices. Moreover, banks that choose AMA exhibit low requirements for capital and, as a result might gain a competitive advantage compared to banks that opt for less sophisticated approaches. - Internal Risk Controls and their Impact on Bank Solvency Recent cases in financial sector showed the importance of risk management controls on risk taking and firm performance. Despite advances in the design and implementation of risk management mechanisms, there is little research on their impact on behavior and performance of firms. Based on data from a sample of 88 banks covering the period between 2004 and 2010, we provide evidence that internal risk controls impact the solvency of banks. In addition, our results show that the level of internal risk controls leads to a higher degree of solvency in banks with a major shareholder in contrast to widely-held banks. However, the relationship between internal risk controls and bank solvency is negatively affected by BHC growth strategies and external restrictions on bank activities, while the higher regulatory requirements for bank capital moderates positively this relationship. - The Impact of the Sophistication of Risk Measurement Approaches under Basel II on Bank Holding Companies Value Previous research showed the importance of external regulation on banks' behavior. Some inefficient standards may accentuate risk-taking in banks and provoke a financial crisis. Despite the growing literature on the potential effects of Basel II rules, there is little empirical research on the efficiency of risk-sensitive capital measurement approaches and their impact on bank profitability and market valuation. Based on data from a sample of 66 banks covering the period between 2008 and 2010, we provide evidence that prudential ratios computed under Basel II standards predict the value of banks. However, this relation is contingent on the degree of sophistication of risk measurement approaches that banks apply. Capital ratios are effective in predicting bank market valuation when banks adopt the advanced approaches to compute the value of their risk-weighted assets.

Sovereign default, domestic banks and financial institutions

We present a model of sovereign debt in which, contrary to conventional wisdom, government defaultsare costly because they destroy the balance sheets of domestic banks. In our model, better financial institutionsallow banks to be more leveraged, thereby making them more vulnerable to sovereign defaults.Our predictions: government defaults should lead to declines in private credit, and these declines should belarger in countries where financial institutions are more developed and banks hold more government bonds.In these same countries, government defaults should be less likely. Using a large panel of countries, we findevidence consistent with these predictions.

Organizational change - the personnel perpective Case: Nordea - Financial Institutions

Tutkimuksen tavoite Tutkimuksen tavoite oli kerätä FI:n johdolle tietoa henkilöstön suhtautumisesta organisaatiomuutokseen. Tutkimus toimii pohjana muutosprosessin kriittiselle tarkastelulle ja mahdollisille muutoksille resurssien kohdentamisessa. Tutkimusmenetelmä Organisaatiomuutosta käsittelevä kirjallisuus muodosti tutkielman teoriapohjan. Tutkimuksen aineisto kerättiin kyselylomakkeella FI:n henkilöstölle ja neljällä haastattelulla henkilöstön ja johdon kanssa. Johtopäätökset Yleisesti tuloksista on nähtävissä, että vastaajat ovat aluksi vastustaneet muutosta, vaikka muutos itsessään onkin nähty positiivisena kehityksenä. Vastarintaa ovat aiheuttaneet pääasiallisesti muutoksen johtamisen tyyli ja tiedotuksen kokeminen riittämättömänä.

THE ROLE OF INFORMATION TECHNOLOGY IN CREATING SUSTAINABILITY VALUE FOR FINANCIAL INSTITUTIONS IN 2020 : a scenario planning approach

The growing importance of global sustainability issues has been causing many changes to the financial services industry. Facts such as climate change, social development and the financial crisis in 2008 have been making banks reconsider the manner that they consider environmental, social and economic factors in their decision-making process. At the same time, information technology (IT) has been transforming the financial service industry and its fast development has casted doubts on the way it should be managed within an organization. This current changing environment brings a number of uncertainties to the future that cannot be addressed using traditional forecasting techniques. This research investigates how IT can bring value to sustainability in the financial service industry in 2020. Through the use of a scenario planning technique, we analyzed how trends in the current environment (considering the relation between sustainability, financial institutions an IT) can lead to four different future scenarios. Then, we discussed how IT can improve a bank’s sustainability performance, considering the limitations of each scenario.

Measuring and testing for the systemically important financial institutions

This paper analyzes the measure of systemic importance ∆CoV aR proposed by Adrian and Brunnermeier (2009, 2010) within the context of a similar class of risk measures used in the risk management literature. In addition, we develop a series of testing procedures, based on ∆CoV aR, to identify and rank the systemically important institutions. We stress the importance of statistical testing in interpreting the measure of systemic importance. An empirical application illustrates the testing procedures, using equity data for three European banks.

Network externalities across financial institutions

We propose and estimate a financial distress model that explicitly accounts for the interactions or spill-over effects between financial institutions, through the use of a spatial continuity matrix that is build from financial network data of inter bank transactions. Such setup of the financial distress model allows for the empirical validation of the importance of network externalities in determining financial distress, in addition to institution specific and macroeconomic covariates. The relevance of such specification is that it incorporates simultaneously micro-prudential factors (Basel 2) as well as macro-prudential and systemic factors (Basel 3) as determinants of financial distress. Results indicate network externalities are an important determinant of financial health of a financial institutions. The parameter that measures the effect of network externalities is both economically and statistical significant and its inclusion as a risk factor reduces the importance of the firm specific variables such as the size or degree of leverage of the financial institution. In addition we analyze the policy implications of the network factor model for capital requirements and deposit insurance pricing.