Fine-tuning the use of bail-in to promote a stronger EU financial system. CEPS Special Report No. 136/April 2016

This paper discusses the application of the new European rules for burden-sharing and bail-in in the banking sector, in view of their ability to accommodate broader policy goals of aggregate financial stability. It finds that the Treaty principles and the new discipline of state aid and the restructuring of banks provide a solid framework for combating moral hazard and removing incentives that encourage excessive risk-taking by bankers. However, the application of the new rules may have become excessively attentive to the case-by-case evaluation of individual institutions, while perhaps losing sight of the aggregate policy needs of the banking system. Indeed, in this first phase of the banking union, while large segments of the EU banking sector still require a substantial restructuring and recapitalisation, the market may not be able to provide all the needed resources in the current environment of depressed profitability and low growth. Thus, a systemic market failure may be making the problem impossible to fix without resorting to temporary public support. But the risk of large write-offs of capital instruments due to burden-sharing and bail-in may represent an insurmountable obstacle to such public support as it may set in motion an investors’ flight. The paper concludes by showing that existing rules do contain the flexibility required to accommodate aggregate policy requirements in the general interest, and outlines a public support scheme for the precautionary recapitalisation of solvent banks that would be compliant with EU law.

Conditional risk, return and contagion in the banking sector in Asia

This paper investigates risk and return in the banking sector in three Asian markets of Taiwan, China and Hong Kong. The study focuses on the risk-return relation in a conditional factor GARCH-M framework that controls for time-series effects. The factor approach is adopted to incorporate intra-industry contagion and an analysis of spillovers between large banks and small banks. Finally, the study provides evidence on these relations before and after the Asian financial crisis of 1997. The results are generally consistent across the markets and with expectations.

Intelligent decision support for family financial planning

In today’s financial markets characterized by constantly changing tax laws and increasingly complex transactions, the demand for family financial planning (FFP) services is rising dramatically. However, the current trend to develop advisory systems that focus mainly on the financial or investment side fails to consider the whole picture of FFP. Separating financial or investment advice from legal and accounting advice may result in conflicting advice or important omissions that could lead to users suffering financial loss. In this paper, we propose a conceptual model for FFP decision-making process, followed by a novel architecture to support an aggregated FFP decision process by utilizing intelligentagents and Web-services technology. A prototype system for supporting FFP decision is presented to demonstrate the advances of the proposed Web-service multi-agentsbased system architecture and business value.

Modelling financial time series with switching state space models

The deficiencies of stationary models applied to financial time series are well documented. A special form of non-stationarity, where the underlying generator switches between (approximately) stationary regimes, seems particularly appropriate for financial markets. We use a dynamic switching (modelled by a hidden Markov model) combined with a linear dynamical system in a hybrid switching state space model (SSSM) and discuss the practical details of training such models with a variational EM algorithm due to [Ghahramani and Hilton,1998]. The performance of the SSSM is evaluated on several financial data sets and it is shown to improve on a number of existing benchmark methods.

Dynamical local models for segmentation and prediction of financial time series

In the analysis and prediction of many real-world time series, the assumption of stationarity is not valid. A special form of non-stationarity, where the underlying generator switches between (approximately) stationary regimes, seems particularly appropriate for financial markets. We introduce a new model which combines a dynamic switching (controlled by a hidden Markov model) and a non-linear dynamical system. We show how to train this hybrid model in a maximum likelihood approach and evaluate its performance on both synthetic and financial data.

Stock index reaction to large price changes:evidence frommajor Asian stock indexes

We examine the short-term price behavior of ten Asian stock market indexes following large price changes or “shocks”. Under the standard OLS regression, there is stronger support for return continuations particularly following positive and negative price shocks of less than 10% in absolute size. The results under the GJR-GARCH method provide stronger support for market efficiency, especially for large price shocks. For example, for the Hong Kong stock index, negative shocks of less than -5% but more than -10% generate a significant one day cumulative abnormal return (CAR) of-0.754% under the OLS method, but an insignificant CAR of 0.022% under the GJR-GARCH. We find no support for the uncertainty information hypothesis. Furthermore, the CARs following the period after the Asian financial crisis adjust more quickly to price shocks.

Volatility transmission between stock and bond markets

A two-factor no-arbitrage model is used to provide a theoretical link between stock and bond market volatility. While this model suggests that short-term interest rate volatility may, at least in part, drive both stock and bond market volatility, the empirical evidence suggests that past bond market volatility affects both markets and feeds back into short-term yield volatility. The empirical modelling goes on to examine the (time-varying) correlation structure between volatility in the stock and bond markets and finds that the sign of this correlation has reversed over the last 20 years. This has important implications far portfolio selection in financial markets. © 2005 Elsevier B.V. All rights reserved.

Have the GIPSI settled down? Breaks and multivariate stochastic volatility models for, and not against, the European financial integration

We investigate the integration of the European peripheral financial markets with Germany, France, and the UK using a combination of tests for structural breaks and return correlations derived from several multivariate stochastic volatility models. Our findings suggest that financial integration intensified in anticipation of the Euro, further strengthened by the EMU inception, and amplified in response to the 2007/2008 financial crisis. Hence, no evidence is found of decoupling of the equity markets in more troubled European countries from the core. Interestingly, the UK, despite staying outside the EMU, is not worse integrated with the GIPSI than Germany or France. © 2013 Elsevier B.V.

One date, one break?

This paper demonstrates that the conventional approach of using official liberalisation dates as the only existing breakdates could lead to inaccurate conclusions as to the effect of the underlying liberalisation policies. It also proposes an alternative paradigm for obtaining more robust estimates of volatility changes around official liberalisation dates and/or other important market events. By focusing on five East Asian emerging markets, all of which liberalised their financial markets in the late, and by using recent advances in the econometrics of structural change, it shows that (i) the detected breakdates in the volatility of stock market returns can be dramatically different to official liberalisation dates and (ii) the use of official liberalisation dates as breakdates can readily entail inaccurate inference. In contrast, the use of data-driven techniques for the detection of multiple structural changes leads to a richer and inevitably more accurate pattern of volatility evolution emerges in comparison with focussing on official liberalisation dates.

Bi-directional double auction for financial market simulation

Typical Double Auction (DA) models assume that trading agents are one-way traders. With this limitation, they cannot directly reflect the fact individual traders in financial markets (the most popular application of double auction) choose their trading directions dynamically. To address this issue, we introduce the Bi-directional Double Auction (BDA) market which is populated by two-way traders. Based on experiments under both static and dynamic settings, we find that the allocative efficiency of a static continuous BDA market comes from rational selection of trading directions and is negatively related to the intelligence of trading strategies. Moreover, we introduce Kernel trading strategy designed based on probability density estimation for general DA market. Our experiments show it outperforms some intelligent DA market trading strategies. Copyright © 2013, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

A magyar fiatalok jellemzése pénzügyi attitűdjeik és magatartásuk mentén – Vizsgálat a felsőoktatásban tanulók pénzügyi attitűdjeiről és magatartásáról = Characterization of the Hungarian youth with their financial attitudes and behaviours – A survey about the financial behaviour and attitudes of students

A pénzügyi piacok és termékek egyre komplexebbé válnak, ami együtt jár a pénzügyeket illető információs szakadék mélyülésével is – a lakosság egyre kevésbé képes pénzügyeiről körültekintő döntéseket hozni. Jelen tanulmány a magyar felsőoktatásban tanuló fiatalokat pénzügyi attitűdjeik mentén szegmentálja és jellemzi, annak érdekében, hogy hozzájáruljon a pénzügyi kultúra szintjét növelő programok sikerességéhez, legyen az állami indíttatású (pénzügyi edukáció) vagy a versenyszféra által vezérelt. A vizsgált fiatalok alapvetően három csoportba sorolhatók: (1) Konzervatívak, (2) Lázadók és (3) Tapasztaltak. A Konzervatívakra a stabil morális értékrend, alacsony kockázatvállalási hajlandóság jellemző, céljaik között egyaránt találunk rövid és hosszú távúakat is – informáltságuk, és ebből eredően pénzügyi ismeretszintjük alacsony, a hitelekkel szembeni attitűdjük negatív. A Lázadók csoportjára az „Élj a mának!” magatartás a jellemző, vagyis rövid távú céljaik vannak, kevésbé tudatosak, pénzügyi ismeretszintjük alacsony, ugyanakkor nyitottak az újdonságokra és a kockázatvállalási szintjük magasabb a másik két csoporténál. A Tapasztaltak csoportjára a tudatosság és a pénzügyi megfontoltság a jellemző – pénzügyi ismeretszintjük magasabb a másik két csoporténál. Náluk a hosszú távú célok dominálnak, de alacsony kockázatvállalási hajlandóság mellett. _____ Financial markets and financial instruments have become more and more complex in the last decades. Unfortunately, financial literacy of population cannot keep up with the innovation activity of financial sector. By segmenting and describing Hungarian young adults along their financial attitudes, the aim of this study is to provide recommendations to the programs aiming to enhance the development of financial literacy. According to the authors’ results, 18-25 year-old young adults can be categorized as (1) conservatives, (2) rebels and (3) experienced. Conservatives can be characterized by stable moral and values, low risktaking willingness and inappropriate financial knowledge. Both short and long term goals can be explored among their preferences. Conservatives have negative attitude to bank loans. The rebels can be described by the ancient Latin saying: “Carpe Diem”. They have short-term goals and the future financial stability is not an issue for them – their financial literacy is low. However, rebels are open-minded and their risk-taking willingness is greater than the other two group members. Despite of the low level of risk-taking willingness, the highest level of financial literacy is showed by the experienced group. They have long-term goals and are able to receive information about complex financial instruments.

Estimation of global systematic risk for securities listed in multiple markets

The market model is the most frequently estimated model in financial economics and has proven extremely useful in the estimation of systematic risk. In this era of rapid globalization of financial markets there has been a substantial increase in cross listings of stocks in foreign and regional capital markets. As many as a third to a half of the stocks in some major exchanges are foreign listed. The multiple listings of stocks has major implications for the estimation of systematic risk. The traditiona1 method of estimating the market model by using data from only one market will lead to misleading estimates of beta. This study demonstrates that the estimator for systematic risk and the methodology itself changes when stocks are listed in multiple markets. General expressions are developed to obtain the estimator of global beta under a variety of assumptions about the error terms of the market models for different capital markets. The assumptions pertain both to the volatilities of the abnormal returns in each market, and to the relationship between the markets. ^ Explicit expressions are derived for the estimation of global systematic risk beta when the returns are homoscedastic and also under different heteroscedastic conditions both within and/or between markets. These results for the estimation of global beta are further extended when return generating process follows an autoregressive scheme.^

Microstructure Characteristics of U.S. Futures Markets

Prior finance literature lacks a comprehensive analysis of microstructure characteristics of U.S. futures markets due to the lack of data availability. Utilizing a unique data set for five different futures contract this dissertation fills this gap in the finance literature. In three essays price discovery, resiliency and the components of bid-ask spreads in electronic futures markets are examined. In order to provide comprehensive and robust analysis, both moderately volatile pre-crisis and volatile crisis periods are included in the analysis. The first essay entitled “Price Discovery and Liquidity Characteristics for U.S. Electronic Futures and ETF Markets” explores the price discovery process in U.S. futures and ETF markets. Hasbrouck’s information share method is applied to futures and ETF instruments. The information share results show that futures markets dominate the price discovery process. The results on the factors that affect the price discovery process show that when volatility increases, the price leadership of futures markets declines. Furthermore, when the relative size of bid-ask spread in one market increases, its information share decreases. The second essay, entitled “The Resiliency of Large Trades for U.S. Electronic Futures Markets,“ examines the effects of large trades in futures markets. How quickly prices and liquidity recovers after large trades is an important characteristic of financial markets. The price effects of large trades are greater during the crisis period compared to the pre-crisis period. Furthermore, relative to the pre-crisis period, during the crisis period it takes more trades until liquidity returns to the pre-block trade levels. The third essay, entitled “Components of Quoted Bid-Ask Spreads in U.S. Electronic Futures Markets,” investigates the bid-ask spread components in futures market. The components of bid-ask spreads is one of the most important subjects of microstructure studies. Utilizing Huang and Stoll’s (1997) method the third essay of this dissertation provides the first analysis of the components of quoted bid-ask spreads in U.S. electronic futures markets. The results show that order processing cost is the largest component of bid-ask spreads, followed by inventory holding costs. During the crisis period market makers increase bid-ask spreads due to increasing inventory holding and adverse selection risks.

Sobre o contágio nos mercados bolsistas internacionais: evidência de nove países

Mestrado em Contabilidade e Análise Financeira