IFRS 9 ‘Financial instruments’: Anticipated effects of the standard change at Kesko Group

IFRS 9 Financial instruments presents the classification and measurement, the impairment and the hedge accounting requirements for accounting of financial instruments. The standard was set by the International Accounting Standards Board to replace IAS 39 Financial instruments: Recognition and Measurement on 1 January 2018. Hence, the long-criticized and complexly experienced requirements for accounting of financial instruments will undergo the most significant reform. This thesis addresses anticipated effects of IFRS 9, focusing on the challenges the new classification and measurement requirements bring forth in the case organization Kesko. This thesis was conducted as an action research, in which, a case study method was applied. The thesis was conducted with a twofold manner, which involved general analysis of IFRS 9 and further covered distinct ambitions related to the case organization. For the general part, empirical data was gathered by interviewing two IFRS experts from KPMG and PwC, while the interviews within the case organization constituted for the case study. Further, the literature on the IFRS 9 was such scant that the theoretical examination was merged with the IFRS experts’ quotations that also strived to contribute to the overall objective of reinforcing the body of research related to the subject. This thesis indicates that IFRS 9 will most fundamentally reform the impairment and the hedge accounting requirements of financial instruments. Regard to impairment, the changes are anticipated to increase the amount of loan-loss provisions, whereas the relaxed hedge accounting requirements are expected to encourage more companies to commence the application of hedge accounting. The thesis provides empirical support on that the term business model for managing financial assets, introduced in IFRS 9, is ably hard to comprehend and remains ambiguous. It goes on to argue that the most prominent issue in defining the business model for managing financial assets is the limits set in IFRS 9 for selling financial assets. In consideration of Kesko, this thesis finds that the key effects of IFRS 9 are anticipated to be the reshaping of the organization’s treasury policy and further examination of the possibility to apply hedge accounting for foreign exchange derivatives. What is more, the thesis presumes that complying the requirements of IFRS 9 Kesko will apply the hold to collect and sell model for managing financial assets in future.

Uma análise das diferenças em termos da cultura e dos interesses profissionais a partir do projeto de substituiçao das IAS 39: Financial Instruments - Recognition and Measurement

Mestrado em Contabilidade

Regulation and disclosure about financial instruments: Evidence on financial reporting in the Portuguese banking sector

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

The use of innovative financial instruments for financing EU policies and objectives: Implications for EU and national budgets. CEPS Special Report, October 2012

This CEPS Special Report analyses the proposed expansion of innovative financial instruments in the EU Multiannual Financial Framework for the 2014–20 period. It presents the economic rationale, governance principles and criteria that these instruments should follow and compares these with proposals from the European Commission. Based on this assessment, it makes recommendations for the proposed instruments.

A pénzügyi eszközök szerepe az Európai Unió kohéziós politikájában (Cohesion policy - The role of financial instruments)

A tanulmány az Európai Unió strukturális és kohéziós alapjaiból létrehozott pénzügyi eszközök szerepét és perspektíváit elemzi. A téma aktualitását adja, hogy jelenleg zajlik a 2014–2020-as uniós költségvetési és programozási időszak előkészítése, amelynek során a pénzügyi eszközök az uniós elképzelések szerint az eddigieknél lényegesen jelentősebb szerepet játszanak majd. A szerző áttekinti a kohéziós politika keretében működő pénzügyi eszközök jelenlegi rendszerének legfőbb jellemzőit, bemutatja azokat a gyökeres változásokat, amelyek 2014-től kezdődően várhatóan jellemezni fogják a kapcsolódó szabályozási környezetet, végül pedig ismerteti a gyakorlatban működő jelentősebb programokat, amelyek referenciapontként is használhatók a programok tervezése során. _____ The paper examines the role and perspectives of financial instruments established from the structural and cohesion funds of the European Union. Hungary is one of the most significant beneficiaries of the structural and cohesion funds, therefore the interested national actors should know well the new support forms, in order to use them successfully in the next programming period. The article gives an overview about the current structure of financial instruments in the framework of the cohesion policy. The comprehensive changes of the regulatory environment expected from 2014 are also presented, and finally the major instruments in practice will be reviewed, that can serve as reference points in planning of future programmes.

Planeamento Fiscal nas operações relativas a instrumentos financeiros derivados e a sua tributação

Mestrado em Fiscalidade

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.