The diploma thesis deals with analysis of interbank payment systems in the Czech and in the Irish Republic. There are described basic types of payment systems that serve as background for analysis. Both observe countries are members of EU, so this work includes also brief characteristics of the law frame of EU and payment systems of EU. Farther there are characterized payment systems of both countries. In the Czech Republic operates just one interbank system of payment named CERTIS, while in Ireland operate three systems of payment. The first of them TARGET2-IE serves mainly for large value payments, while remaining two systems IRECC and IPCC serve for retail payments. Finally there is included comparison of payment systems by number of transactions and value of transactions.

This thesis examines both conventional and unconventional monetary policies in a DSGE model with an interbank market friction. The recent crisis during 2007-2009 affected economies worldwide and forced central banks to implement not just conventional monetary policies, but also direct interventions in financial markets. We investigate a DSGE model with financial frictions, to test conventional and unconventional monetary policies. The thesis starts by using the Gertler and Kiyotaki (2010)'s modelling framework, to examine eight different shocks under imperfect interbank market conditions. Unlike Gertler and Kiyotaki (2010) who consider the two extreme cases for the banking system, I firstly extend the analysis to a case in between the two extreme cases that they examined. The shocks considered include supply and demand shocks and also two shocks from the financial system itself (an interbank market shock and a shock to the deposit market). It is found that a negative shock to the interbank market has only a moderate impact to the banking system. However, a shock to the deposit market has a much stronger impact. Even though the impacts of these shocks are not large it is shown that thefinancial frictions magnify the effects of other shocks. The model is extended to include price stickiness. A modified Taylor rule is analysed to test how conventional monetary policy should respond to the shocks in the presence of financial frictions. Specifically the credit spread is added as a third term in the monetary policy rule. The stabilising properties of the policy rule are analysed and a welfare analysis is conducted. The model is further developed to include unconventional monetary policy in the form of direct lending to private sector firms from the central bank. A policy rule for unconventional policy is tested and its stabilising and welfare properties are analysed.

La investigación que se presenta a continuación fue realizada por la tesista Rocio Tinoco Escalante y tiene la finalidad de obtener el grado de Magister en Gestión de la Educación. Es un estudio descriptivo el cual tiene como objetivo general analizar las opiniones del docente-empleado de Interbank en el bienio 2013-2014 referente a la gestión del talento humano en la Universidad Corporativa de Intercorp (UCIC). De esta investigación se desprenden tres objetivos específicos: Analizar las opiniones del docente-empleado acerca del desarrollo de la gestión del talento humano en UCIC; analizar las opiniones del docente-empleado de Interbank referentes a los procesos de la gestión del talento humano en la UCIC; y, analizar las sugerencias del docente-empleado de la UCIC para la gestión del talento humano de la institución.

Instantaneous rate models, although theoretically satisfying, are less so in practice. Instantaneous rates are not observable and calibra- tion to market data is complicated. Hence, the need for a market model where one models LIBOR rates seems imperative. In this modeling process, we aim at regaining the Black-76 formula[7] for pricing caps and °oors since these are the ones used in the market. To regain the Black-76 formula we have to model the LIBOR rates as log-normal processes. The whole construction method means calibration by using market data for caps, °oors and swaptions is straightforward. Brace, Gatarek and Musiela[8] and, Miltersen, Sandmann and Sondermann[25] showed that it is possible to con- struct an arbitrage-free interest rate model in which the LIBOR rates follow a log-normal process leading to Black-type pricing for- mulae for caps and °oors. The key to their approach is to start directly with modeling observed market rates, LIBOR rates in this case, instead of instantaneous spot rates or forward rates. There- after, the market models, which are consistent and arbitrage-free[6], [22], [8], can be used to price more exotic instruments. This model is known as the LIBOR Market Model. In a similar fashion, Jamshidian[22] (1998) showed how to con- struct an arbitrage-free interest rate model that yields Black-type pricing formulae for a certain set of swaptions. In this particular case, one starts with modeling forward swap rates as log-normal processes. This model is known as the Swap Market Model. Some of the advantages of market models as compared to other traditional models are that market models imply pricing formulae for caplets, °oorlets or swaptions that correspond to market practice. Consequently, calibration of such models is relatively simple[8]. The plan of this work is as follows. Firstly, we present an em- pirical analysis of the standard risk-neutral valuation approach, the forward risk-adjusted valuation approach, and elaborate the pro- cess of computing the forward risk-adjusted measure. Secondly, we present the formulation of the LIBOR and Swap market models based on a ¯nite number of bond prices[6], [8]. The technique used will enable us to formulate and name a new model for the South African market, the SAFEX-JIBAR model. In [5], a new approach for the estimation of the volatility of the instantaneous short interest rate was proposed. A relationship between observed LIBOR rates and certain unobserved instantaneous forward rates was established. Since data are observed discretely in time, the stochastic dynamics for these rates were determined un- der the corresponding risk-neutral measure and a ¯ltering estimation algorithm for the time-discretised interest rate dynamics was pro- posed. Thirdly, the SAFEX-JIBAR market model is formulated based on the assumption that the forward JIBAR rates follow a log-normal process. Formulae of the Black-type are deduced and applied to the pricing of a Rand Merchant Bank cap/°oor. In addition, the corre- sponding formulae for the Greeks are deduced. The JIBAR is then compared to other well known models by numerical results. Lastly, we perform some computational analysis in the following manner. We generate bond and caplet prices using Hull's [19] stan- dard market model and calibrate the LIBOR model to the cap curve, i.e determine the implied volatilities ¾i's which can then be used to assess the volatility most appropriate for pricing the instrument under consideration. Having done that, we calibrate the Ho-Lee model to the bond curve obtained by our standard market model. We numerically compute caplet prices using the Black-76 formula for caplets and compare these prices to the ones obtained using the standard market model. Finally we compute and compare swaption prices obtained by our standard market model and by the LIBOR model. / Economics / D.Phil. (Operations Research)

Management of systemic risk in financial markets is traditionally associated with setting (higher) capital requirements for market participants. There are indications that while equity ratios have been increased massively since the financial crisis, systemic risk levels might not have lowered, but even increased (see ECB data 1 ; SRISK time series 2 ). It has been shown that systemic risk is to a large extent related to the underlying network topology of financial exposures. A natural question arising is how much systemic risk can be eliminated by optimally rearranging these networks and without increasing capital requirements. Overlapping portfolios with minimized systemic risk which provide the same market functionality as empir- ical ones have been studied by Pichler et al. (2018). Here we propose a similar method for direct exposure networks, and apply it to cross-sectional interbank loan networks, consisting of 10 quarterly observations of the Austrian interbank market. We show that the suggested framework rearranges the network topol- ogy, such that systemic risk is reduced by a factor of approximately 3.5, and leaves the relevant economic features of the optimized network and its agents unchanged. The presented optimization procedure is not intended to actually re-configure interbank markets, but to demonstrate the huge potential for systemic risk management through rearranging exposure networks, in contrast to increasing capital requirements that were shown to have only marginal effects on systemic risk (Poledna et al., 2017). Ways to actually incentivize a self-organized formation toward optimal network configurations were introduced in Thurner and Poledna (2013) and Poledna and Thurner (2016). For regulatory policies concerning financial market stability the knowledge of minimal systemic risk for a given economic environment can serve as a benchmark for monitoring actual systemic risk in markets.

Instantaneous rate models, although theoretically satisfying, are less so in practice. Instantaneous rates are not observable and calibra- tion to market data is complicated. Hence, the need for a market model where one models LIBOR rates seems imperative. In this modeling process, we aim at regaining the Black-76 formula[7] for pricing caps and °oors since these are the ones used in the market. To regain the Black-76 formula we have to model the LIBOR rates as log-normal processes. The whole construction method means calibration by using market data for caps, °oors and swaptions is straightforward. Brace, Gatarek and Musiela[8] and, Miltersen, Sandmann and Sondermann[25] showed that it is possible to con- struct an arbitrage-free interest rate model in which the LIBOR rates follow a log-normal process leading to Black-type pricing for- mulae for caps and °oors. The key to their approach is to start directly with modeling observed market rates, LIBOR rates in this case, instead of instantaneous spot rates or forward rates. There- after, the market models, which are consistent and arbitrage-free[6], [22], [8], can be used to price more exotic instruments. This model is known as the LIBOR Market Model. In a similar fashion, Jamshidian[22] (1998) showed how to con- struct an arbitrage-free interest rate model that yields Black-type pricing formulae for a certain set of swaptions. In this particular case, one starts with modeling forward swap rates as log-normal processes. This model is known as the Swap Market Model. Some of the advantages of market models as compared to other traditional models are that market models imply pricing formulae for caplets, °oorlets or swaptions that correspond to market practice. Consequently, calibration of such models is relatively simple[8]. The plan of this work is as follows. Firstly, we present an em- pirical analysis of the standard risk-neutral valuation approach, the forward risk-adjusted valuation approach, and elaborate the pro- cess of computing the forward risk-adjusted measure. Secondly, we present the formulation of the LIBOR and Swap market models based on a ¯nite number of bond prices[6], [8]. The technique used will enable us to formulate and name a new model for the South African market, the SAFEX-JIBAR model. In [5], a new approach for the estimation of the volatility of the instantaneous short interest rate was proposed. A relationship between observed LIBOR rates and certain unobserved instantaneous forward rates was established. Since data are observed discretely in time, the stochastic dynamics for these rates were determined un- der the corresponding risk-neutral measure and a ¯ltering estimation algorithm for the time-discretised interest rate dynamics was pro- posed. Thirdly, the SAFEX-JIBAR market model is formulated based on the assumption that the forward JIBAR rates follow a log-normal process. Formulae of the Black-type are deduced and applied to the pricing of a Rand Merchant Bank cap/°oor. In addition, the corre- sponding formulae for the Greeks are deduced. The JIBAR is then compared to other well known models by numerical results. Lastly, we perform some computational analysis in the following manner. We generate bond and caplet prices using Hull's [19] stan- dard market model and calibrate the LIBOR model to the cap curve, i.e determine the implied volatilities ¾i's which can then be used to assess the volatility most appropriate for pricing the instrument under consideration. Having done that, we calibrate the Ho-Lee model to the bond curve obtained by our standard market model. We numerically compute caplet prices using the Black-76 formula for caplets and compare these prices to the ones obtained using the standard market model. Finally we compute and compare swaption prices obtained by our standard market model and by the LIBOR model. / Economics / D.Phil. (Operations Research)

We propose a statistical model for weighted temporal networks capable of measuring the level of heterogeneity in a financial system. Our model focuses on the level of diversification of financial institutions; that is, whether they are more inclined to distribute their assets equally among partners, or if they rather concentrate their commitment towards a limited number of institutions. Crucially, a Markov property is introduced to capture time dependencies and to make our measures comparable across time. We apply the model on an original dataset of Austrian interbank exposures. The temporal span encompasses the onset and development of the financial crisis in 2008 as well as the beginnings of European sovereign debt crisis in 2011. Our analysis highlights an overall increasing trend for network homogeneity, whereby core banks have a tendency to distribute their market exposures more equally across their partners.

The diploma thesis is focused on the analysis of the system of payment in the Czech Republic and in the whole European Union. The theoretical part defines system of payment generally, its organization, the telecommunication network SWIFT and also describes the electronic payments. The following chapter deals with the legislation of this area in our country. There have been made a lot of changes untill these days because of the strong effort to harmonize legal form of payment system with the regulations of European Union. The next part of this study is dedicated to individual payment system especially the CERTIS which is the unique but highly efficient system in the Czech Republic. The practical part obtained the comparison of the payment system which are using in the European Union. For better lucidity the systems are devided into the wholesale payments and the retail payments. The trends and the prognosis of the interbank payment system development are identified in the conclusion of this study.

Submitted by João Paulo Carvalho Aveiro (joaoaveiro@gmail.com) on 2013-03-04T21:54:29Z No. of bitstreams: 1 Tese.pdf: 465880 bytes, checksum: cdd3bccd1924aa197532a369970ae371 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2013-04-03T17:56:07Z (GMT) No. of bitstreams: 1 Tese.pdf: 465880 bytes, checksum: cdd3bccd1924aa197532a369970ae371 (MD5) / Made available in DSpace on 2013-04-03T17:56:20Z (GMT). No. of bitstreams: 1 Tese.pdf: 465880 bytes, checksum: cdd3bccd1924aa197532a369970ae371 (MD5) Previous issue date: 2012-06-25 / In this work, we studied the literature of the interbank market and how a central bank can improve its functioning. We developed a framework that could accommodate the different models of the interbank market and central bank intervention created from Bryant (1980) and Diamond and Dybvig (1983). With this we show that, in most cases, banks with access to the interbank market are unable to provide the efficient allocation for its consumers. In this environment we find a role for a central bank that, by intervening in the interbank market, is able to induce banks to offer the same allocations that would be provided by a social planner, that is, efficient allocations. / Neste trabalho, estudamos a literatura de mercado interbancário e como um banco central pode melhorar o seu funcionamento. Criamos um framework que pudesse acomodar os diferentes modelos de mercado interbancário e intervenção do banco central criados a partir de Bryant (1980) e Diamond and Dybvig (1983). Com isso mostramos que, em grande parte dos casos, os bancos com acesso ao mercado interbancário são incapazes de prover a alocação eficiente para os seus consumidores. Nesse ambiente, encontramos uma função para um banco central que, ao intervir no mercado interbancário, é capaz de induzir os bancos a oferecerem as mesmas alocações que seriam providas por um planejador central, ou seja, alocações eficientes.

Cette thèse étudie les différentes facettes du risque de liquidité et analyse le rôle essentiel qu'elles jouent dans la stabilité systémique.Dans la partie théorique de la thèse, nous traitons du risque de liquidité au travers des ruées bancaires. Progressivement, nous introduisons le marché interbancaire en tant que mécanisme d'assurance de liquidité entre les banques. Cependant, lorsqu'il y a une pénurie globale de liquidité, ce marché a tendance à favoriser la propagation d'une crise de liquidité de banque à banque, ce qui peut aboutir au risque systémique. Nous étudions de manière approfondie la littérature sur la contagion par les liens interbancaires et au travers des prix des actifs. / This thesis examines the different facets of the liquidity risk and aims to analyse their essential role in the stability of the financial system. In the theoretical part of the thesis, we treat liquidity risk through bank runs. Gradually, we introduce the interbank market as a liquidity insurance mechanism between banks. However, when there is an overall shortage of liquidity, this market tends to encourage the spread of liquidity crises from bank to bank which can lead to a systemic financial crisis. We study the literature on risk contagion by interbank links and through asset price effects. The applied part of the thesis aims to test the validity of hypotheses and insights presented in the theoretical framework. The goal is to betterunderstand the mechanism of liquidity risk and the forces of interaction between balance sheet effects that can lead to the transformation of liquidity risk into systemic risk caused by counterparty risk or the revaluation of tradable assets at market prices. In the first numerical application, we propose to evaluate the risk of contagion by interbank linkages in a context where banks borrow on the interbank market and/or at the central bank if necessary. The second simulation is dedicated to contagion through asset price effects, considering that the banks must sell assets on the market to meet their liquidity shortfall. If mark-to-market accounting is applied, the effects of the douwnturn in prices appear immediately and cause a spontaneous reaction from stakeholders.