Tellurium is one of the rarest metals in the earth’s crust. Increased demand for cadmium telluride photovoltaic cells along with an opaque pricing and quantity-reporting system, have recently caused high price volatility and a speculative bubble in the tellurium market, resulting in overstocking and depressed prices. In a longer perspective this may be a threat to cadmium telluride photovoltaics as a power-generating technology. This master thesis compares how actors may perceive news innovation in the opaque tellurium market compared to the more transparent molybdenum market. A quantitative analysis of industry news reporting on the two metals, combined with a SVAR impulse response analysis, helps me determine which actors and factors exert most influence on spot market prices. In the opaque tellurium market, relatively unreliable proxies of supply and demand are most frequent in the news reporting while having a big impact on prices, whereas the transparent molybdenum market uses more reliable variables – such as futures prices – and transparent supply information, whilst also relying on a frequent stream of dependable proxies to scope market sentiments. My findings lead me to recommend policy makers to implement measures to increase market transparency, which may be accomplished by extending the data-sharing regime of the REACH database to minor metal markets. Attempting to limit speculation in minor metal markets is perhaps too blunt a tool to fix an inherent problem of a free exchange-pricing mechanism. / Tellur är en av de mest sällsynta metallerna på Jorden. Ökad efterfrågan av kadmiumtelluridsolpaneler har nyligen orsakat stor volatilitet på tellurmarknaden. Ett opakt prissättnings-och kvantitetsrapporteringssystem har bidragit till att en prisbubbla bildats och spruckit, vilket resulterat i att marknadsaktörer köpt på sig stora lager till höga priser som de sedan inte kunnat sälja vidare. I ett längre perspektiv kan detta innebära begränsningar vid tillverkning av solcellsteknologi baserad på kadmiumtellurid, då ett volatilt pris kan göra nya tellurgruvprojekt alltför riskabla. Denna masteruppsats jämför hur en typisk marknadsaktör kan reagera på prisinnovationer i den opaka tellurmarkanden och den mer transparenta molybdenmarknaden. Metoden består av en kvantitativ analys av facknyheter rörande de två metallerna, varifrån variabler väljs till en SVAR modell med impuls-responsanalys. Urvalet av variabler är få och volatila på den opaka tellurmarknaden, medan den mer transparenta molybdenmarknaden har ett större utbud av variabler som kännetecknas av god transparens och relativ förutsägbarhet. Mina slutsatser leder mig till att rekommendera beslutsfattare att vidta åtgärder för att öka tellurmarknadens transparens genom EU-samarbetet, förslagsvis genom att göra anonymiserad data från REACH databasen tillgänglig för allmänheten. Samtidigt avråder jag från åtgärder som syftar till att minska spekulation, då implementering av en sådan policy kan bli både dyr och komplicerad.

Submitted by Elimar Veloso Conceição null (eli_fisica@hotmail.com) on 2018-09-12T14:33:29Z No. of bitstreams: 1 Dissertação_Elimar_Valuation_rev_27_08_2018_REVISADA_bancafinal.pdf: 2725779 bytes, checksum: 6720ea56f43ebf29faa7b75f0342a1a4 (MD5) / Approved for entry into archive by Neli Silvia Pereira null (nelisps@fcav.unesp.br) on 2018-09-13T11:18:22Z (GMT) No. of bitstreams: 1 conceicao_ev_me_jabo.pdf: 2725779 bytes, checksum: 6720ea56f43ebf29faa7b75f0342a1a4 (MD5) / Made available in DSpace on 2018-09-13T11:18:22Z (GMT). No. of bitstreams: 1 conceicao_ev_me_jabo.pdf: 2725779 bytes, checksum: 6720ea56f43ebf29faa7b75f0342a1a4 (MD5) Previous issue date: 2018-08-27 / Objetivo: Valorar um projeto de inovação oriundo da estratégia de diversificação de produtos, considerando as incertezas e a flexibilidade como fontes de valor ao projeto. Metodologia / Procedimentos de Pesquisa: É apresentado um estudo de caso, valorado por meio de opções reais, com a possibilidade de inclusão de novas informações, modeladas pelo Teorema de Bayes, as quais possibilitam ajustar às probabilidades iniciais do projeto. Resultados e Discussões: Espera-se que os resultados apontem para o efeito da nova informação e implicações na criação de valor para a empresa. Implicações Gerenciais: Demonstrar à comunidade, aos profissionais de mercado e acadêmicos a necessidade de uma abordagem mais profunda e sistêmica para o uso de estratégias de investimento, considerando fatores endógenos e exógenos à firma. Conclusões e Limitações da Pesquisa: Ao analisar um projeto de inovação com elevado nível de incerteza, variáveis probabilísticas podem não ser suficientes para mensurar o desempenho futuro do investimento. Assim, o conhecimento tácito, criado a partir de todo o conhecimento acumulado pelos tomadores de decisão, fornecem informações que podem e devem ser utilizadas para a avaliação do investimento. O presente estudo não considerou o valor da sinergia criada pela implementação deste novo projeto na estrutura organizacional, nem foram utilizados profissionais externos para a projeção dos fluxos de caixa. Originalidade: A originalidade reside em avaliar um projeto de inovação com a utilização de opções reais em conjunto com uma abordagem bayesiana em uma indústria de autopeças agrícolas, permitindo com isto, o incremento de novas informações, sem a utilização de métodos estocásticos para a determinação da volatilidade. / Objective: Value an innovation project from the product diversification strategy, considering the uncertainties and flexibility as sources of value to the project. Methodology / Research Procedures: We present a case study, evaluated through real options, with the possibility of including new information, modeled by Bayes' Theorem, in which they can adjust the probabilities of the initials of the project. Results and discussions: The results are expected to point to the effect of new information and implications on value creation for the company. Management Implications: Demonstrate to the community, market professionals and academics the need for a more profound and systemic approach to the use of investment strategies, considering factors that are endogenous and exogenous to the firm. Conclusions and Limitations of the Research: When analyzing an innovation project with a high level of uncertainty, probabilistic variables may not be sufficient to measure the future performance of the investment, thus, tacit knowledge, created from all the knowledge accumulated by decision makers, provides information that can and should be used for the evaluation of the investment. The present study did not consider the value of the synergy created by the implementation of this new project in the organizational structure, nor were external professionals used for the projection of cash flows. Originality: The originality lies in evaluating an innovation project with the use of real options together a bayesian approach in an agricultural autoparts industry, allowing with this, the increment of new information, without the use of stochastic methods to determine the volatility.

In the thesis we focus on involving Agent-based models in modeling financial markets. In Agent-based models of economical systems, often called Agent-based computational economics (ACE), market price is established by actions and interactions of autonomous agents using heuristics or simple decision-making rules. This approach to modeling of financial markets provide us with better understanding of establishing market price then aggregate economical models which focuses exclusively on societally "optimal" equilibria assuming that they are achieved by informed and rational behavior of people. The thesis consists of two main parts. The first one, theoretical, is an introduction to agent based modeling, bounded rationality and social network Our concern in the second part of the thesis is a model of volatility on financial markets. This model is interesting example of agent based approach to creating economical models. However it contains some non-realistic assumption from which the most controversial is the space where agents interacts -- two dimensional lattice. In this part of the work the model is converted from two dimensional lattice to the networks which better corresponds to real social networks but we also experiment with another extension of the agent's decision-making function. The intended outcome of the work is verifying the quality of the model, to learn the effect of our model extensions on price volatility, overview of attributes of the particular networks and discussion whether such models could provide some valuable information to the economist which are interested in financial markets.

No description available.

Made available in DSpace on 2010-04-20T21:00:41Z (GMT). No. of bitstreams: 3 cassiohannavaldujoturma2004.pdf.jpg: 20231 bytes, checksum: 62e51410ac906f6e00f1e12da5316a49 (MD5) cassiohannavaldujoturma2004.pdf: 413423 bytes, checksum: 8213eb03aca7db7895e101c61e2a7f51 (MD5) cassiohannavaldujoturma2004.pdf.txt: 79476 bytes, checksum: 55d018233791503e2867b643e0a8d988 (MD5) Previous issue date: 2007-01-04T00:00:00Z / We examine whether non-return-based measures of stock market uncertainty, like the volatility from equity indexes and detrended stock turnover can be linked to timevariation in the correlation between daily stock and bonds returns. We find a positive relation between the uncertainty measures and the future correlation of stock and bond returns. Furthermore, we find that bond returns tend to be high (low), relative to stock returns, during days when volatility varies substantially (a little) and during days when stock turnover is unexpectedly high (low). Our findings suggest that stock market uncertainty has important fixed income pricing influences, implying a crossmarket approach in the asset allocation process. / Estudamos a possibilidade de que medidas de incerteza no mercado acionário estejam relacionadas com a variação temporal da correlação entre os retornos dos mercados de renda fixa e renda variável. Encontramos evidências de uma relação direta entre as medidas de volatilidade e a correlação futura dos retornos dos mercados estudados. Além disso, percebemos que o retorno do mercado de renda fixa tende a ser maior (menor) em comparação ao do mercado de renda variável quando a volatilidade deste apresenta variações maiores (menores) e em dias em que o volume de operações é inexplicavelmente alto (baixo). Nossos resultados sugerem que incertezas do mercado acionário têm influência no apreçamento do mercado de renda fixa, trazendo implicações de efeitos de cross-market pricing na gestão de recursos.

Dans cette thèse, nous proposons quatre contributions originales à l'étude de l'intégration monétaire et financière des pays asiatiques.Dans le premier chapitre nous déterminons la sensibilité relative des devises asiatiques (ASEAN-5, Corée du Sud) face aux chocs simulés sur le dollar, l'euro et l'ACU. Nous mettons en évidence la volonté de ces pays de se détourner d'une politique de change exclusivement centrée sur le dollar vers une politique plus flexible, où le poids de l'ACU semble avoir gagné en importance.Le deuxième chapitre met l'accent sur la synchronisation entre les cycles des affaires de l'ASEAN-5. Nous montrons que la corrélation entre les cycles est plus forte durant les phases de contraction mais que la dynamique d'ajustement est propre à chaque pays. Par ailleurs, certains cycles des affaires de l'ASEAN-5 contiennent des informations pertinentes pour prédire les changements de régime des autres pays.Le troisième chapitre examine le co-mouvement entre les taux de change réels de l'ASEAN-5 du point de vue de la parité de pouvoir d'achat généralisé (Enders and Hurns, 1994, 1997). Nous montrons que les taux de change réels sont liés par un processus à mémoire longue, ce qui soutient l'idée d'une intégration monétaire plus poussée entre différents sous-groupes de pays. Enfin dans le dernier chapitre, nous examinons le degré d'intégration des marchés boursiers en Asie (ASEAN-5, Hong Kong, Japon). Nos résultats montrent que la volatilité des marchés boursiers internationaux partagent une tendance stochastique commune. En revanche, les marchés boursiers des pays émergents apparaissent encore segmentés tant au niveau global que régional. / This thesis proposes four contributions to the study of Asian monetary and financial integration.The first chapter examines to what extent the East Asian exchange rates (ASEAN-5, South Korea) are sensitive to shocks simulated on the US dollar, the euro and the ACU. We show that these countries have moved from a US dollar-based pegging system to a more flexible exchange rate policy, where the weight of the ACU has increased over the last years. The second chapter attempts to analyze the correlation among the ASEAN-5 business cycles. Estimates reveal that correlations are higher during downturns but the process of adjustment to shocks displays idiosyncratic features. We also provide evidence that the signals contained in some leading ASEAN-5 business cycles help predict regime switching in other countries. The third chapter examines the co-movement among the ASEAN-5 real exchange rates through the generalized purchasing power parity (Enders and Hurns, 1994, 1997). We find that real exchange rates are tied through a long memory process, supporting further monetary integration among different sub-groups of the ASEAN-5.In the last chapter, we investigate to what extent the stock markets in Asia (Hong Kong, Japan, ASEAN-5) are integrated. Our results reveal that the stock market volatilities in developed countries share a common stochastic trend. Conversely, emerging markets appear to be segmented from both each other and global markets.

本文主要在探討影響台灣股票市場波動的因素，除了考慮以之前學者設定的 VAR(12)模型研究，另外以 SUR(5)模型來討論股市波動與基本面、交易面間的關係；最後，再以自我迴歸異質條件變異數模型來分析股市波動的特性。最重要的是，我們會根據誤差項的各類檢定結果來判定研究股市波動性質的最佳模型。 在聯立方程式的估計中，我們發現代表資訊到達指標的兩變數--週轉率與成交量成長率--會影響股票市場的波動。另外，我們找出交易面（成交量成長率）可能會影響基本面（匯率），這也就是說，在研究股市波動時，我們不需要特別區分變數的屬性。 在 GARCH 模型及 TGARCH 模型中，我們仍然可發現週轉率與成交量成長率會影響股市條件平均數或條件變異數；除此之外，好壞消息對股市日報酬率條件變異數（條件波動）應有不同的影響效果（壞消息的影響力較快反應）。而股市自身風險係數雖然統計檢定上不顯著異於零，但若未加入條件平均數的估計式，則可能會使模型得到較差的誤差項檢定結果，顯見股市自身風險應為影響投資人設定期望報酬率水準的重要因素之一。 從上述估計結果，我們可以知道，若散戶投資人能正確解讀市場上出現的各種新資訊之背後意義，將可使成交量成長率或週轉率（大部份可能代表無意義或不正確的交易行為）的變動幅度降低，進而有效地減少股票市場中股價異常波動的現象。 / My essay's topic focuses on discussing the factors that influence stock market volatility in Taiwan's stock market. Besides VAR(12) model as previous researchers have studied, I tries to set up SUR(5) models analyzing the relationship among the stock market volatility、the foundamental variables'volatilities and trading activities; Then I cited ARCH models ( autoregressive conditional heteroskedisticity models ) to find out the characteristics of stock market volatility. Most important of all, according to each misspecification test ( residual test ), I would specify the better models to describe the stock market volatility. In the estimations of system equations ( VAR(12)and SUR(5)models ), first I found that turnover rate and the growth rate of trading volume, which represent the information arrival indexes, could effect stock return's monthly conditional variance. Second, I especially found out the evidence that trading activities (trading volume growth) would probably have an impact on the macroeconomic variable ( exchange rate volatility ). It shows that we don't need to distinguish the attributes of those factors which could influence stock market volatility. In GARCH and TGARCH model, the positive influences of turnover and trading volume growth on daily stock return's conditional mean and conditional variance ( conditional volatility ) are still obvious, Within these TGARCH model, I discovered that bad news and good news could have different influences on stock market volatility ( the impact of bad news which resulted in downward movements of stock market volatility appeared faster that the good news'which caused upward movements). Stock market's self-risk(σ_t-1^{^2}) is statistically insignificant different from zero in GARCH models, but when I omitted this variable in daily stock return's conditional mean estimation equation, standardized residual might not obey the assumption of normal distribution. It apparently told us that the stock market's self-risk term ( σ_t-1^{^2} ) is one of the critical factors which influences investors to estimate expected return level. From those results above, we realized that if investors could precisely understand the real meanings of new information conveying in the stock market, it might decrease the levels of turnover and trading volume growth ( which could sometimes represent meaningless or inexact trading activities ), then effectively reduce the abnormal volatility phenomenon in stock market.

The aim of the work is to analyze the theoretical basis of determination of the market risk premium in conditions of the national market in the Czech Republic with CAPM and practical procedures of its determination using the market data provided by Bloomberg. The work addresses some open problems of practical determination of market risk premium as a choice between historical and implied risk premium, determination of credit spread as a representative of country risk and accurate determination of the equity and bond market volatility ratio. The thesis also contains research on the cost of equity and single-factor sensitivity analysis demonstrating the significant influence of a small change in one parameter entering the calculation of the discount rate on the resulting value.