860 resultados para Volatility Models, Volatility, Equity Markets


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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For six years, the global economy has been driven by the U.S. Federal Reserve’s policies of easy money. Liquidity has flowed from developed to developing economies, financing infrastructure and corporate investment and allowing consumers to indulge in credit-fuelled retail spending. Thus the effective ending of the Fed’s third round of asset purchases (QE3) at the end of October represents both a watershed and the beginning of a new stage in the world economy. The end of asset-purchases comes at a challenging time for emerging markets, with China’s economy slowing, the Euro zone struggling to avoid a recession and the Japanese economy already in recession. The unwinding of the U.S. monetary stimulus, while the European Central Bank and the Bank of Japan step up their monetary stimulus, has underpinned an appreciation by the U.S. dollar, in which most commodities are priced. An appreciated dollar makes dollar-denominated commodities more expensive to buyers, thereby creating pressure for sellers to lower their prices. Latin American markets ended the third quarter of 2014 under pressure from a stronger U.S. dollar. In this changing external context, there are many signs that a slowdown in Latin American and Caribbean (LAC) financial markets, particularly debt markets, which have been breaking issuance records for the past six years, may slowdown from now on. Commodity prices – including those of oil, base metals and some goods – are in a prolonged slump. The Bloomberg commodity price index, a benchmark of commodity investments, has fallen to a five-year low as China’s economy slows down, and with it the demand for commodities. Investment into the LAC region has decelerated, in large part because of a deceleration of mining investments. Latin American currencies have suffered depreciations, as current account deficits have widening for a number of countries. And LAC companies, having issued record amounts of foreign currency bonds may now struggle to service their debt. In October, credit-rating agency Moody’s downgraded the bonds of Brazil’s Petrobras to tow notches above speculative grade because of the impact of falling oil prices and the weaker real on its debt. Growth prospects look brighter in 2015 relative to 2014, but a strengthening U.S. dollar, uneven global growth and weakness in commodity prices are skewing the risk toward the downside for the 2015 forecasts across the region. The Institute of International Finance expects the strengthening of the dollar to have a divergent impact across the region, however, depending on trade and financial linkages. The Institute of International Finance, Capital Flows to Emerging Markets, October 2, 2014. A stronger dollar lifts U.S. purchasing power, supporting exports, growth and capital inflows in countries with close trade links to the U.S. economy. However, rising dollar financing costs will increase pressure on countries with weak external positions. Given the effects of falling oil prices and a stronger dollar, some companies in the region, having issued record amounts of foreign currency bonds, may now struggle to service their debts. Prospects of Fed rate hikes resulting in tighter global liquidity amid the rapid rise in the corporate external bond stock has indeed raised concerns over some companies. However, there is still a shortage of bonds at a global level and the region still enjoys good economic policy management for the most part, so LAC debt markets may continue to enjoy momentum despite occasional bursts of high volatility – even if not at the record levels of recent years.

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Latin America and the Caribbean experienced an unexpectedly vigorous economic recovery in 2010 after the output contraction of 2009. This upturn was reflected in the region’s employment and unemployment rates, which resumed the positive trends that had been broken by the crisis, and formal wages rose slightly. The strength of the recovery and labour-market performance varied markedly across subregions and countries, however. The first part of this joint ECLAC/ILO publication on the employment situation in Latin America and the Caribbean looks at how labour markets have responded to the rapid economic upswing in 2010 and early 2011, highlighting both the significant advances achieved in the post-crisis period and the sharp differences evident across subregions and countries. As well as tapping into the improved external conditions which followed upon the Asianled global economic upturn, several Latin American countries were also able to contain the impacts of the crisis and underpin their own recovery with countercyclical policies, thanks to the leeway gained by their macroeconomic management during the run of growth from 2003 to 2008. These countries were in a position to implement expansionary fiscal and monetary policies, some of which channelled higher fiscal spending through labour-market policies or softened the impact of the crisis on employment and income, as discussed in previous ECLAC/ILO bulletins. Since the region is fairly new to the use of countercyclical policies, the second part of this document reviews the experiences arising from those policies and considers lessons for institutionalizing them. Economic growth in the Latin American and Caribbean region has historically been marked by the volatility of its economic cycles, with high-growth periods being succeeded by deep crises. Volatility has conspired against the use of production resources over extended periods and short growth horizons have impeded investment in capital and labour. In the recent international crisis, the deployment of countercyclical macroeconomic policy helped to reduce the depth and duration of the impact and to leverage a more rapid recovery. It is therefore worth looking at the fundamentals of a long-term countercyclical macroeconomic policy which would provide the tools needed to deal with future crises and pave the way for economic growth that may be sustained over time. A special factor during this crisis was that a greater effort was made to support employment and income. Several of the labour-market policy measures taken acted as vehicles for conveying increased fiscal spending to individuals, reflecting greater consideration for equality concerns. Indeed, these measures were aimed not only at stabilizing andstrengthening domestic demand per se, but also at preventing the crisis from hitting lowest-income households the hardest, as had occurred in previous episodes. And —again unlike the pattern seen in previous episodes— inflation actually fell during the crisis as the high food and fuel prices seen in the run-up to it eased as a result of both existing macroeconomic policies and global conditions. This averted the surge in inequality so often seen in previous crises. Two caveats must be added, however. First, not all the countries were in a position to deploy strong countercyclical policies. Many simply lacked the fiscal space to do so. Second, some countries took this sort of measure more as an ad hoc response to the crisis than as part of a clearly established countercyclical policy strategy. The challenge, then, is to institutionalize a countercyclical approach throughout the economic cycle. Taking up this challenge is part of making economic growth more sustainable. This year —2011— was ushered in by rapid economic growth and substantial improvements in labour indicators. With the region’s GDP projected to grow well over 4% this year, ECLAC and ILO estimate that the regional unemployment rate will fall substantially again, from 7.3% in 2010 to between 6.7% and 7.0% in 2011.

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A predição do preço da energia elétrica é uma questão importante para todos os participantes do mercado, para que decidam as estratégias mais adequadas e estabeleçam os contratos bilaterais que maximizem seus lucros e minimizem os seus riscos. O preço da energia tipicamente exibe sazonalidade, alta volatilidade e picos. Além disso, o preço da energia é influenciado por muitos fatores, tais como: demanda de energia, clima e preço de combustíveis. Este trabalho propõe uma nova abordagem híbrida para a predição de preços de energia no mercado de curto prazo. Tal abordagem combina os filtros autorregressivos integrados de médias móveis (ARIMA) e modelos de Redes Neurais (RNA) numa estrutura em cascata e utiliza variáveis explanatórias. Um processo em dois passos é aplicado. Na primeira etapa, as variáveis explanatórias são preditas. Na segunda etapa, os preços de energia são preditos usando os valores futuros das variáveis exploratórias. O modelo proposto considera uma predição de 12 passos (semanas) a frente e é aplicada ao mercado brasileiro, que possui características únicas de comportamento e adota o despacho centralizado baseado em custo. Os resultados mostram uma boa capacidade de predição de picos de preço e uma exatidão satisfatória de acordo com as medidas de erro e testes de perda de cauda quando comparado com técnicas tradicionais. Em caráter complementar, é proposto um modelo classificador composto de árvores de decisão e RNA, com objetivo de explicitar as regras de formação de preços e, em conjunto com o modelo preditor, atuar como uma ferramenta atrativa para mitigar os riscos da comercialização de energia.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The mathematical models are critical to determine theoretical prices of options and analyze whether they are overrated or underrated. This information strongly influence in operations carried out by the investor. Therefore, it is necessary that the employee model present high degree of reliability and be consistent with the reality of investment to which it is intended. In this sense, this dissertation aims to apply the steps of mathematical modeling in the Pricing of options for decision making in the investment of a hydroelectric power plant. Was used a Monte Carlo simulation, with the Latin Hypercube Method, to determine the volatility of returns of the project. In order to validate the proposed model, compared to the results found by the Binomial Model, which is one of the models most used in this type of investment. The results reinforce the hypothesis that the mathematical modeling with the Binomial Model is critical to investment decision-making in hydroelectric power

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The objective of this paper is to verify and analyze the existence in Brazil of stylized facts observed in financial time series: volatility clustering, probability distributions with fat tails, the presence of long run memory in absolute return time series, absence of linear return autocorrelation, gain/loss asymmetry, aggregative gaussianity, slow absolute return autocorrelation decay, trading volume/volatility correlation and leverage effect. We analyzed intraday prices for 10 stocks traded at the BM&FBovespa, responsible for 52.1% of the Ibovespa portfolio on Sept. 01, 2009. The data analysis confirms the stylized facts, whose behavior is consistent with what is observed in international markets.

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We consider a discrete-time financial model in a general sample space with penalty costs on short positions. We consider a friction market closely related to the standard one except that withdrawals from the portfolio value proportional to short positions are made. We provide necessary and sufficient conditions for the nonexistence of arbitrages in this situation and for a self-financing strategy to replicate a contingent claim. For the finite-sample space case, this result leads to an explicit and constructive procedure for obtaining perfect hedging strategies.