Studien syftar till att undersöka huruvida det finns ett signifikant samband mellan den svenska reporäntan och prisbildningen av aktier inkluderade i indexet OMXS30. Datamaterialet täcker perioden 2004 till 2012 och hämtas direkt från NASDAQ OMX Nordic. Genom en eventstudie och med hjälp av Marknadsmodellen estimeras en abnormal avkastning för händelseperioderna. För att ta hänsyn till de estimeringsproblem som finns associerade med finansiell tidsseriedata och dess varians används en EGARCH-modell. Resultatet tyder på en signifikant negativ korrelation mellan reporäntan och marknadspriserna på Stockholmsbörsen. Det finns även indikationer på att en asymmetri existerar vad gäller negativa och positiva nyheters inverkan på variansen.

This paper aims to model and forecast the volatility of gold price with the help of other precious metals. The data applied for application part in the article involves three financial time series which are gold, silver and platinum daily spot prices. The volatility is modeled by univariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models including GARCH and EGARCH with different distributions such as normal distribution and student-t distribution. At the same time, comparisons of estimation and forecasting the volatility between GARCH family models have been done.

An overview of the theoretical literature for the last two decades suggests that there is no clear-cut relationship one can pin down between exchange rate volatility and trade flows. Analytical results are based on specific assumptions and only hold in certain cases. Especially, the impact of exchange rate volatility on export and import activity investigated separately leads also to dissimilar conclusions among countries studied. The general presumption is that an increase in exchange rate volatility will have an adverse effect on trade flows and consequently, the overall heath of the world economy. However, neither theoretical models nor empirical studies provide us with a definitive answer, leaving obtained results highly ambiguous and inconsistent (Baum and Caglayan, 2006). We purposed to empirically investigate trade effects of exchange rate fluctuations in Sweden from the perspective of export and import in this research. The data comprises period from January 1993 to December 2006, where export and import volumes are considered from the point of their determinants, including exchange rate volatility, which has been measured through EGARCH model. The results for the case of Sweden show that short run dynamics of volatility negatively associated with both export and import, whereas considered from the case of previous period volatility it exhibits positive relationship. These results are consistent with the most findings of prior studies, where the relationship remained ambiguous.

Efficient market exist such that financial market make the absence of arbitrage opportunity on intertemporal asset price, There are special existence due to volatility clustering effect provides that the conditional volatility predictor could control, applying on derivative such as option¡Bcurrency exchange¡Bswap¡Bexist possible arbitrage profits ,in this paper involve that forward market efficiency and how to prototype concrete, now we apply parity theory including covered interest parity and uncovered interest parity, then the study of both covered (CIP)and uncovered interest parity (UIP) plus FME are tested in the 30 and 90 forward markets for the NTD/USD exchange rate to examine market efficiency on using GARCH-M,EGARCH models , In the empirical tests, we find the NTS/USD dollar interest rate spread have I(o) property ,Results are provided for interest rate on stationarity indicating that interest differential is stationary ,the result also imply stationary relationship between Taiwan and USA on money policy, Using Taylor(1989) ¡As covered interest arbitrage models, The empirical results show lower positive profit opportunities on NTD or US returns, covered interest parity may hold because NTS/US exchange market after reopening becomes more efficient than market after reopening, the central bank money policy intervention is influential but we test market efficiency hypotheses on basis of Domowitz and Hakkio¡]1985¡^¡As ARCH-M model deeply employing GARCH-M¡BEGARCH models to estimate Risk Premium¡Athen employ Felmingham (2003.2) ¡As regression equation to test forward market efficiency , the empirical results shows that not only CIP¡BUIP theory fail but also Forward Market Efficiency hypotheses cannot hold ,then future spot rates could be predicted by forward rates are worthy of investigate., It may indicate that foreign securities are imperfect substitutes for domestic ones of equivalent maturity and that market participants, implying that there is arbitrage profit opportunity between Taiwan and the USA, there are many arguments to discuss whether forward rates as an unbiased predictor of future spot rate ,Forward Market efficiency give the presence of the time varying premium on different place, Ultimately, therefore, the unbiased nature of forward rates is an empirical, and not a theoretical, issue¡C

The general theme of this thesis is theoretical properties and evaluation of volatility models. The thesis consists of four papers. In the first chapter the moment structure of the EGARCH model is derived. The second chapter contains new results on the A-PARCH model. The third chapter is about certain stylized facts of financial time series and the idea is to investigate how well the GARCH, EGARCH and ARSV models are able to reproduce these characteristics. The fourth chapter is about evaluating the EGARCH model. A more detailed overview of the chapters follows next.  In Chapter 1 we derive the condition for the existence of moments, the expression for the kurtosis and the one for the autocorrelation function of positive powers of the absolute-valued observations for the EGARCH model. The results of the paper are useful, for example, if we want to compare the EGARCH model with the GARCH model. They reveal certain differences in the moment structure between these models. While the autocorrelations of the squared observations decay exponentially in the GARCH model, the decay rate is not exponential in the EGARCH model. While for the GARCH model the conditions for parameters allowing the existence of higher-order moments become more and more stringent for each even moment this is not the case for the EGARCH model. The explicit expressions of the autocorrelation structure of the positive powers of the absolute-valued observations of the model are particularly important in the considerations of Chapter 3 of the thesis.The A-PARCH model contains a particular positive power parameter. By letting the power parameter approach zero, the A-PARCH family of models also includes a family of EGARCH models as a special case. In Chapter 2 we derive the autocorrelation function of squared and logarithmed observations for the A-PARCH family of models and show that it may be obtained as a limiting case of a general power ARCH (GPARCH) model. An interesting thing to notice is that the autocorrelation structure of this GPARCH process, if it exists, is exponential, and that this property is retained at the limit as the power parameter approaches zero, which means that the autocorrelation function of the process of logarithms of squared observations also decay exponentially. While this is true for the logarithmed squared observations of an EGARCH process it cannot simultaneously be true for the untransformed observations defined by these processes as we in Chapter 1 have demonstrated.In order to explain the role of the power parameter we present a detailed analysis of how the autocorrelation functions of the squared observations differ across members of the GPARCH models. In an empirical example we also show that the estimated power parameter considerably improves the correspondence between the estimated autocorrelations on the one hand and the autocorrelation estimates from the model on the other. Financial time series seem to share a number of characteristic features, sometimes called stylized facts. Given a set of stylized facts, one may ask the following question: "Have popular volatility models been parameterized in such a way that they can accommodate and explain the most common stylized facts visible in the data?" Models for which the answer is positive may be viewed as suitable for practical use. In Chapter 3, possible answers to this question for the three popular models of volatility, GARCH, EGARCH and ARSV models are investigated. Model evaluation is an important part of modelling not only for the conditional mean models but for the conditional variance specifications as well. In Chapter 4 we consider misspecification tests for an EGARCH model. We derive two new misspecification tests for an EGARCH model. Because the tests of an EGARCH model against a higher-order EGARCH model and testing parameter constancy are parametric, the alternative may be estimated if the null hypothesis is rejected. This is useful for a model builder who wants to find out possible weakness of estimated specification. Furthermore, we investigate various ways of testing the EGARCH model against GARCH ones as another check of model adequacy. An empirical example shows that there is substantial evidence for parameter nonconstancy in daily return series of the Stockholm Stock Exchange. / Diss. Stockholm : Handelshögsk., 2004

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These theses whether examine the property stock investors are overconfident or underconfident. This thesis firstly use VAR model and the empirical result shows that the property stock investors existed overconfidence investment behavior in the bull market, especially in low-price stock. However, this kind of behavior does not exist in the bear market. The result also shows that most of turnover rate are driven by market return rather than property stock return. this represents investors purchase (or sell) the property stock is caused by the market goes up (or down) rather than have perspective in the property stock. The result implied the property stock investor had speculative trading in short term. In long term, investors have insufficient faith in the real estate market. Next, this thesis use EGARCH and the result shows that the overconfidence investors¡¦ excessive trading will increase volatility, and will harm the development of industry. Finally, we discussed the main factor of investors¡¦ underconfidence in property industry, found political environment as well as long recession are the factors.

This essay investigates three different GARCH-models (GARCH, EGARCH and GJR-GARCH) along with two distributions (Normal and Student’s t), which are used to forecast the Value at Risk (VaR) for different return series. Seven major international equity indices are examined. The purpose of the essay is to answer which of the three models that is better at forecasting the VaR and which distribution is more appropriate.  The results show that the EGARCH(1,1)  is preferred for all indices included in the study.

In this work we want to examine selected models with nonlinear volatility and their properties. At the beginning we define models with non-constant variance, especially ARCH, GARCH and EGARCH models. Then we study the probability distributions that are mainly used in the EGARCH model. Then we focus on the EGARCH model, describe the conditions for stationarity and invertibility of the model, define diagnostic tests and QMLE estimates of parameters. In the last chapter we perform simulation studies of the selected models and their application to real data. 1

Submitted by Luis Lellis (luislellis@gmail.com) on 2015-12-16T08:26:29Z No. of bitstreams: 1 O IMPACTO DA POLÍTICA MONETÁRIA NÃO CONVENCIONAL AMERICANA SOBRE O PREÇO DOS ATIVOS FINANCEIROS BRASILEIROS.pdf: 932868 bytes, checksum: 3f85c3ea92ee9a2a52647220f067a572 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2016-01-25T17:49:43Z (GMT) No. of bitstreams: 1 O IMPACTO DA POLÍTICA MONETÁRIA NÃO CONVENCIONAL AMERICANA SOBRE O PREÇO DOS ATIVOS FINANCEIROS BRASILEIROS.pdf: 932868 bytes, checksum: 3f85c3ea92ee9a2a52647220f067a572 (MD5) / Approved for entry into archive by Maria Almeida (maria.socorro@fgv.br) on 2016-01-27T17:43:13Z (GMT) No. of bitstreams: 1 O IMPACTO DA POLÍTICA MONETÁRIA NÃO CONVENCIONAL AMERICANA SOBRE O PREÇO DOS ATIVOS FINANCEIROS BRASILEIROS.pdf: 932868 bytes, checksum: 3f85c3ea92ee9a2a52647220f067a572 (MD5) / Made available in DSpace on 2016-01-27T17:43:49Z (GMT). No. of bitstreams: 1 O IMPACTO DA POLÍTICA MONETÁRIA NÃO CONVENCIONAL AMERICANA SOBRE O PREÇO DOS ATIVOS FINANCEIROS BRASILEIROS.pdf: 932868 bytes, checksum: 3f85c3ea92ee9a2a52647220f067a572 (MD5) Previous issue date: 2015-05-26 / Aplicando uma metodologia de testes de eventos, este estudo avalia o impacto dos anúncios de implementação e retirada dos estímulos monetários pelo Banco Central americano (FED) entre 2008 a 2013 sobre a curva de juros, a taxa de câmbio e a bolsa brasileira. Os resultados mostram que os anúncios de política monetária americana impactaram o preço dos ativos brasileiros significativamente principalmente durante o QE1 e o Tapering. Para os demais QEs, Operação Twist e eventos de postergação da retirada de estímulos, o não Tapering, ainda que os resultados encontrados estivessem dentro do esperado, eles tiveram baixa significância. Concluímos que a política monetária americana não convencional foi eficaz em impactar o preço dos ativos brasileiros, em especial os eventos não esperados. Ao incluirmos defasagens nos testes aplicados concluímos que em alguns casos houve 'atraso' na incorporação das novas informações no preço dos ativos.