Financial Engineering Instruments and their Assessment Under EU State Aid Rules. Bruges European Economic Policy (BEEP) Briefing 26/2013

Financial engineering instruments such as guarantees, loans and equity are increasingly used in public funding of enterprises. These instruments have three attractive features: they are repayable, they “leverage” private involvement, and they have a multiplier effect because they generate new income. At the same time, however, they are technically complex and they are subject to state aid rules. Their assessment under EU state aid rules creates two additional problems. First, under certain conditions financial instruments may not contain state aid. This is when public authorities act as “private investors”. This means that state aid cannot be presumed to exist in all financial instruments. It must first be established through market analysis. Second, when state aid is found to be present it is not always possible to quantify it. For this reason the state aid rules that apply to financial instruments differ significantly from other rules. This paper reviews how financial instruments have been assessed by the European Commission and under which conditions the state aid they may contain can be considered to be compatible with the internal market. The paper finds that by and large Member States have succeeded to design measures that have all been approved by the Commission.

Microscopic origin of non-Gaussian distributions of financial returns

In this paper we study the possible microscopic origin of heavy-tailed probability density distributions for the price variation of financial instruments. We extend the standard log-normal process to include another random component in the so-called stochastic volatility models. We study these models under an assumption, akin to the Born-Oppenheimer approximation, in which the volatility has already relaxed to its equilibrium distribution and acts as a background to the evolution of the price process. In this approximation, we show that all models of stochastic volatility should exhibit a scaling relation in the time lag of zero-drift modified log-returns. We verify that the Dow-Jones Industrial Average index indeed follows this scaling. We then focus on two popular stochastic volatility models, the Heston and Hull-White models. In particular, we show that in the Hull-White model the resulting probability distribution of log-returns in this approximation corresponds to the Tsallis (t-Student) distribution. The Tsallis parameters are given in terms of the microscopic stochastic volatility model. Finally, we show that the log-returns for 30 years Dow Jones index data is well fitted by a Tsallis distribution, obtaining the relevant parameters. (c) 2007 Elsevier B.V. All rights reserved.

A divulgação sobre instrumentos derivados : evidência empírica do setor da indústria português

Mestrado em Contabilidade

Value relevance of financial assets

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

Fair value versus historical cost-based valuation for biological assets: Predictability of financial information

There is an intense debate on the convenience of moving from historical cost (HC) toward the fair value (FV) principle. The debate and academic research is usually concerned with financial instruments, but the IAS 41 requirement of fair valuation for biological assets brings it into the agricultural domain. This paper performs an empirical study with a sample of Spanish farms valuing biological assets at HC and a sample applying FV, finding no significant differences between both valuation methods to assess future cash flows. However, most tests reveal more predictive power of future earnings under fair valuation of biological assets, which is not explained by differences in volatility of earnings and profitability. The study also evidences the existence of flawed HC accounting practices for biological assets in agriculture, which suggests scarce information content of this valuation method in the predominant small business units existing in the agricultural sector in advanced Western countries

A Nonparametric Approach to Pricing and Hedging Derivative Securities via Learning Networks

We propose a nonparametric method for estimating derivative financial asset pricing formulae using learning networks. To demonstrate feasibility, we first simulate Black-Scholes option prices and show that learning networks can recover the Black-Scholes formula from a two-year training set of daily options prices, and that the resulting network formula can be used successfully to both price and delta-hedge options out-of-sample. For comparison, we estimate models using four popular methods: ordinary least squares, radial basis functions, multilayer perceptrons, and projection pursuit. To illustrate practical relevance, we also apply our approach to S&P 500 futures options data from 1987 to 1991.

Microscopic origin of non-Gaussian distributions of financial returns

In this paper we study the possible microscopic origin of heavy-tailed probability density distributions for the price variation of financial instruments. We extend the standard log-normal process to include another random component in the so-called stochastic volatility models. We study these models under an assumption, akin to the Born-Oppenheimer approximation, in which the volatility has already relaxed to its equilibrium distribution and acts as a background to the evolution of the price process. In this approximation, we show that all models of stochastic volatility should exhibit a scaling relation in the time lag of zero-drift modified log-returns. We verify that the Dow-Jones Industrial Average index indeed follows this scaling. We then focus on two popular stochastic volatility models, the Heston and Hull-White models. In particular, we show that in the Hull-White model the resulting probability distribution of log-returns in this approximation corresponds to the Tsallis (t-Student) distribution. The Tsallis parameters are given in terms of the microscopic stochastic volatility model. Finally, we show that the log-returns for 30 years Dow Jones index data is well fitted by a Tsallis distribution, obtaining the relevant parameters. (c) 2007 Elsevier B.V. All rights reserved.

Credit-Default-Swaps and the 2008 Financial Crisis: An Inquiry into the Underlying Legal Origins and the European Union’s Regulatory Reforms

After the 2008 financial crisis, the financial innovation product Credit-Default-Swap (CDS) was widely blamed as the main cause of this crisis. CDS is one type of over-the-counter (OTC) traded derivatives. Before the crisis, the trading of CDS was very popular among the financial institutions. But meanwhile, excessive speculative CDSs transactions in a legal environment of scant regulation accumulated huge risks in the financial system. This dissertation is divided into three parts. In Part I, we discussed the primers of the CDSs and its market development, then we analyzed in detail the roles CDSs had played in this crisis based on economic studies. It is advanced that CDSs not just promoted the eruption of the crisis in 2007 but also exacerbated it in 2008. In part II, we asked ourselves what are the legal origins of this crisis in relation with CDSs, as we believe that financial instruments could only function, positive or negative, under certain legal institutional environment. After an in-depth inquiry, we observed that at least three traditional legal doctrines were eroded or circumvented by OTC derivatives. It is argued that the malfunction of these doctrines, on the one hand, facilitated the proliferation of speculative CDSs transactions; on the other hand, eroded the original risk-control legal mechanism. Therefore, the 2008 crisis could escalate rapidly into a global financial tsunami, which was out of control of the regulators. In Part III, we focused on the European Union’s regulatory reform towards the OTC derivatives market. In specific, EU introduced mandatory central counterparty clearing obligation for qualified OTC derivatives, and requires that all OTC derivatives shall be reported to a trade repository. It is observable that EU’s approach in re-regulating the derivatives market is different with the traditional administrative regulation, but aiming at constructing a new market infrastructure for OTC derivatives.

Price risk management in the copper market using commodity derivatives and options strategies

Metals price risk management is a key issue related to financial risk in metal markets because of uncertainty of commodity price fluctuation, exchange rate, interest rate changes and huge price risk either to metals’ producers or consumers. Thus, it has been taken into account by all participants in metal markets including metals’ producers, consumers, merchants, banks, investment funds, speculators, traders and so on. Managing price risk provides stable income for both metals’ producers and consumers, so it increases the chance that a firm will invest in attractive projects. The purpose of this research is to evaluate risk management strategies in the copper market. The main tools and strategies of price risk management are hedging and other derivatives such as futures contracts, swaps and options contracts. Hedging is a transaction designed to reduce or eliminate price risk. Derivatives are financial instruments, whose returns are derived from other financial instruments and they are commonly used for managing financial risks. Although derivatives have been around in some form for centuries, their growth has accelerated rapidly during the last 20 years. Nowadays, they are widely used by financial institutions, corporations, professional investors, and individuals. This project is focused on the over-the-counter (OTC) market and its products such as exotic options, particularly Asian options. The first part of the project is a description of basic derivatives and risk management strategies. In addition, this part discusses basic concepts of spot and futures (forward) markets, benefits and costs of risk management and risks and rewards of positions in the derivative markets. The second part considers valuations of commodity derivatives. In this part, the options pricing model DerivaGem is applied to Asian call and put options on London Metal Exchange (LME) copper because it is important to understand how Asian options are valued and to compare theoretical values of the options with their market observed values. Predicting future trends of copper prices is important and would be essential to manage market price risk successfully. Therefore, the third part is a discussion about econometric commodity models. Based on this literature review, the fourth part of the project reports the construction and testing of an econometric model designed to forecast the monthly average price of copper on the LME. More specifically, this part aims at showing how LME copper prices can be explained by means of a simultaneous equation structural model (two-stage least squares regression) connecting supply and demand variables. A simultaneous econometric model for the copper industry is built: {█(Q_t^D=e^((-5.0485))∙P_((t-1))^((-0.1868) )∙〖GDP〗_t^((1.7151) )∙e^((0.0158)∙〖IP〗_t ) @Q_t^S=e^((-3.0785))∙P_((t-1))^((0.5960))∙T_t^((0.1408))∙P_(OIL(t))^((-0.1559))∙〖USDI〗_t^((1.2432))∙〖LIBOR〗_((t-6))^((-0.0561))@Q_t^D=Q_t^S )┤ P_((t-1))^CU=e^((-2.5165))∙〖GDP〗_t^((2.1910))∙e^((0.0202)∙〖IP〗_t )∙T_t^((-0.1799))∙P_(OIL(t))^((0.1991))∙〖USDI〗_t^((-1.5881))∙〖LIBOR〗_((t-6))^((0.0717) Where, Q_t^D and Q_t^Sare world demand for and supply of copper at time t respectively. P(t-1) is the lagged price of copper, which is the focus of the analysis in this part. GDPt is world gross domestic product at time t, which represents aggregate economic activity. In addition, industrial production should be considered here, so the global industrial production growth that is noted as IPt is included in the model. Tt is the time variable, which is a useful proxy for technological change. A proxy variable for the cost of energy in producing copper is the price of oil at time t, which is noted as POIL(t ) . USDIt is the U.S. dollar index variable at time t, which is an important variable for explaining the copper supply and copper prices. At last, LIBOR(t-6) is the 6-month lagged 1-year London Inter bank offering rate of interest. Although, the model can be applicable for different base metals' industries, the omitted exogenous variables such as the price of substitute or a combined variable related to the price of substitutes have not been considered in this study. Based on this econometric model and using a Monte-Carlo simulation analysis, the probabilities that the monthly average copper prices in 2006 and 2007 will be greater than specific strike price of an option are defined. The final part evaluates risk management strategies including options strategies, metal swaps and simple options in relation to the simulation results. The basic options strategies such as bull spreads, bear spreads and butterfly spreads, which are created by using both call and put options in 2006 and 2007 are evaluated. Consequently, each risk management strategy in 2006 and 2007 is analyzed based on the day of data and the price prediction model. As a result, applications stemming from this project include valuing Asian options, developing a copper price prediction model, forecasting and planning, and decision making for price risk management in the copper market.

Financial openness of China and India: Implications for capital account liberalisation. Bruegel Working Paper 2014/05, May 15 2014

We gauge the de-facto capital account openness of the Chinese and Indian economies by testing the law of one price on the basis of onshore and offshore price gaps for three key financial instruments. Generally, the three measures show both economies becoming more financially open over time. Over the past decade, the Indian economy on average appears to be more open financially than the Chinese economy, but China seems to be catching up with India in the wake of the global financial crisis. Both have more work to do to open their capital accounts.

Determinants of Financial Capital Use: Review of theories and implications for rural businesses. Factor Markets Working Paper No. 19, February 2012

This paper presents a review of financial economics literature and offers a comprehensive discussion and systematisation of determinants of financial capital use. In congruence with modern financial literature, it is acknowledged here that real and financial capital decisions are interdependent. While the fundamental role of the (unconstrained) demand for real capital in the demand for finance is acknowledged, the deliverable focuses on three complementary categories of the determinants of financial capital use: i) capital market imperfections; ii) factors mitigating these imperfections or their impacts; and iii) firm- and sector-related factors, which alter the severity of financial constraints and their effects. To address the question of the optimal choice of financial instruments, theories of firm capital structure are reviewed. The deliverable concludes with theory-derived implications for agricultural and non-agricultural rural business’ finance.

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.

Marcos regulatórios estaduais em saneamento básico no Brasil

Este artigo analisa os marcos regulatórios estaduais para o setor de saneamento básico. A pesquisa documental identificou a presença de leis estaduais em apenas cinco estados (São Paulo, Minas Gerais, Rio Grande do Sul, Rio Grande do Norte e Goiás). Os marcos legais estaduais são descritos quanto a um conjunto de atributos ou funções selecionadas: universalização, instrumentos financeiros, regulação e controle social. A principal conclusão é que o desenvolvimento dessas políticas, assim como sua regulamentação, encontra-se em estágio incipiente e poderá receber impulso com aprovação de nova lei federal de dezembro de 2006.

Lições de Direito Económico e Financeiro, 1º Ano

I – O “DIREITO ECONÓMICO”: O ESTADO COMO PRODUTOR DE BENS E SERVIÇOS E O ESTADO COMO REGULADOR DA ECONOMIA: O PLANEAMENTO E AS MEDIDAS DE ESTÍMULO OU FOMENTO; O ACESSO À ACTIVIDADE ECONÓMICA; II – CONCEITO E TIPOLOGIA DAS EMPRESAS; III – ALGUMAS EMPRESAS EM ESPECIAL; IV – DIREITO PENAL ECONÓMICO E DE EMPRESA; V – “CONTENCIOSO DAS EMPRESAS”; VI – DIREITO DO CONSUMO, DIREITO DAS EMPRESAS E DIREITO PENAL ECONÓMICO; VII – DIREITO DA CONCORRÊNCIA E DOS PREÇOS; VIII – DIREITO MONETÁRIO, FINANCEIRO E DOS MERCADOS DE VALORES MOBILIÁRIOS: INSTRUMENTOS E MERCADOS FINANCEIROS; IX - REGULAÇÃO DO AMBIENTE E DA ACTIVIDADE ECONÓMICA; X - REGULAÇÃO DA QUALIDADE; XI – DIREITO FINANCEIRO PÚBLICO. §I - "ECONOMIC LAW": THE STATE AS PRODUCER OF GOODS AND SERVICES AND THE STATE AS A ECONOMY REGULATOR: PLANNING AND MEASURES OF STIMULUS OR PROMOTION; ACCESS TO ECONOMIC ACTIVITY II - CONCEPT AND TYPE OF COMPANIES III - SOME SPECIAL COMPANIES IV - ECONOMIC AND CRIMINAL LAW COMPANY, V – “LITIGATION IN COMPANIES”; VI - LAW CONSUMER, LAW OF COMPANIES AND ECONOMIC CRIMINAL LAW; VII - COMPETITION LAW AND PRICES; VIII - MONETARY LAW, FINANCIAL AND SECURITIES MARKETS: FINANCIAL INSTRUMENTS AND MARKETS; X - REGULATORY ENVIRONMENT AND ECONOMIC ACTIVITY: X - ADJUSTMENT OF QUALITY; XI - PUBLIC FINANCIAL LAW.