843 resultados para volatility spillovers


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[spa] En este artículo, analizamos la volatilidad agregada de una economía estilizada donde los agentes estann conectados en redes. Si hay relaciones estratégicas entre las acciones de los agentes, choques idiosincráticos pueden generar fluctuaciones agregadas. Demonstramos que la volatilidad agregada depende de la estructura de redes de la economía de dos maneras. Por un lado, si hay más conexiones en la economía en su conjunto, la volatilidad agregada es más baja. Por otro lado, si las conexiones están más concentradas, la volatilidad agregada es más alta. Presentamos una aplicación de nuestras predicciones teóricas que utiliza datos de EEUU de conexiones intrasectoriales y de diversificación de las empresas.

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[spa] En este artículo, analizamos la volatilidad agregada de una economía estilizada donde los agentes estann conectados en redes. Si hay relaciones estratégicas entre las acciones de los agentes, choques idiosincráticos pueden generar fluctuaciones agregadas. Demonstramos que la volatilidad agregada depende de la estructura de redes de la economía de dos maneras. Por un lado, si hay más conexiones en la economía en su conjunto, la volatilidad agregada es más baja. Por otro lado, si las conexiones están más concentradas, la volatilidad agregada es más alta. Presentamos una aplicación de nuestras predicciones teóricas que utiliza datos de EEUU de conexiones intrasectoriales y de diversificación de las empresas.

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Diplomityön tavoitteena oli sanomalehtipaperin kysyntään ja tarjontaan vaikuttavien tekijöiden identifiointi ja analysointi. Nämä tekijät käytiin yhteisesti läpi skenaarioiden avulla. Aluksi kuvattiin teollisuuden ala ja esiteltiin tärkeimmät alaa kuvaavat mittarit. Analyysi tehtiin Porterin kilpailuteorian tekijöiden pohjalta. Työssä listattiin yksittäiset tekijät, jotka vaikuttavat sanomalehtipaperin kysyntään ja tarjontaan. Näistä tekijöistä valittiin tärkeimmät ja niiden pohjalta rakennettiin skenaarioita. Skenaariot kuvaavat erilaisia mahdollisia tulevaisuuksia.Kysyntä kuten myös tarjonta on jakautunut epätasaisesti maailmassa. Alueelliset erot ovat hyvinkin merkittäviä. Tästä johtuu laajamittainen kaupankäynti eri alueiden välillä. Käynnissä oleva paperiteollisuuden konsolidoitumisprosessi auttaa vähentämään sanomalehtipaperin hinnan ja tarjonnan heilahtelua. Tämä puolestaan johtuu alan keskittymisestä ja järkevästä kapasiteetin hallinnasta.Diplomityö korostaa sanomalehtipaperin tuottajien vastuuta tarjonnan lisäämisessä. E-median uhkaa tai mahdollisuutta on myös spekuloitu ja kysynnän alueellisen kysynnän kehitystä on analysoitu. Diplomityö antaa ehdotuksia erilaisiksi tulevaisuuden kehitysvaihtoehdoiksi. Sanomalehtipaperin kysyntä tulee kasvamaan maailmanlaajuisesti, tuotanto tulee siirtymään lähemmäksi markkinoita, kaupankäynti Aasiaan tulee kasvamaan ja yrityksen tulevat keskittymään viisaaseen kapasiteetin hallintaan.

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The Feller process is an one-dimensional diffusion process with linear drift and state-dependent diffusion coefficient vanishing at the origin. The process is positive definite and it is this property along with its linear character that have made Feller process a convenient candidate for the modeling of a number of phenomena ranging from single-neuron firing to volatility of financial assets. While general properties of the process have long been well known, less known are properties related to level crossing such as the first-passage and the escape problems. In this work we thoroughly address these questions.

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In forensic investigation of firearm-related cases, determination of the residual amount of volatile compounds remaining inside a cartridge could be useful in estimating the time since its discharge. Published approaches are based on following the decrease of selected target compounds as a function of time by using solid phase micro-extraction (SPME). Naphthalene, as well as an unidentified decomposition product of nitrocellulose (referred to as "TEA2"), are usually employed for this purpose. However, reliability can be brought into question given their high volatility and the low reproducibility of their extracted quantities. In order to identify alternatives and therefore develop improved dating methods, an extensive study on the composition and variability of volatile residues in nine different types of cartridges was carried out. Analysis was performed using headspace sorptive extraction (HSSE), which is a more exhaustive technique compared to SPME. 166 compounds were identified (several of which for the first time), and it was observed that the final compositional characteristics of each residue were strongly dependent on its source. Variability of single identified compounds within and between different types of cartridge, as well as their evolution over time, was also studied. Many explosion products containing up to 4 aromatic rings were found to be globally present in high proportions amongst residues. 27 of them (excluding naphthalene) also presented detectable decreases during the first 24 h. Therefore, they could be used as complementary target analytes in future dating methods.

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Vuonna 1995 alkanut sähkömarkkinoiden vapautuminen on muuttanut sähköyhtiöiden myyntisopimusten hinnoittelua merkittävästi. Ennen markkinauudistusta voitiin sähkön myyntisopimukset hinnoitella perustuen oman sähkön tuotannon kustannuksiin ja haluttuun katteeseen. Nykyään sähköpörssissä noteerattava sähkön hinta muodostaa perustan kaikkien myyntisopimusten hinnoittelulle. Sähkön markkinahinnan lisäksi on myyntisopimusten hinnoittelussa otettava huomioon sähkömarkkinoiden ominaispiirteistä aiheutuvat riskit sähkön myyjälle. Tässä työssä mallinnetaan Lappeenrannan Energia Oy:n markkinalähtöiset hinnoittelumenetelmät kahdelle sähkönmyyntisopimustyypille. Lisäksi tutkitaan markkinalähtöisen hinnoittelun tärkeimpien riskikomponenttien, aluehintaeron sekä profiililisän, merkitystä markkinalähtöisten myyntisopimusten hinnoittelussa. Aluehintaeron hyväksikäyttöä myyntisopimusten hinnoittelussa on tutkittu selvittämällä Suomen hinta-alueen CfD-johdannaisten riskipreemiot. Profiililisän merkitystä myyntisopimusten hinnoittelussa on tutkittu havainnoimalla profiililisän muutoksia hinta- ja kulutusaikasarjoissa sekä suojaushinta ja tehotasossa tapahtuneiden muutosten suhteen. Ennustetun ja toteutuneen profiililisän eroja on tutkittu laskemalla ne seitsemälle Lappeenrannan Energia Oy:n merkittävälle asiakkaalle. Lisäksi on tarkasteltu profiililisän laskentaan tarvittavan hinta-aikasarjan mallintamiseen käytettyjen termiinituotteiden hintojen merkitystä lasketun profiililisän suuruuteen. Työn lopuksi esitetään kaksi vaihtoehtoista sähkösopimusten hinnoittelumenetelmää ja vertaillaan esitettyjä hinnoittelumenetelmiä keskenään. Työssä havaitaan, että aluehintaerolta suojautumiseen käytettävien CfD-johdannaisten avulla olisi ollut mahdollista lisätä markkinalähtöisten myyntisopimusten tuottoa viimeisen kolmen vuoden aikana. Suoritettujen herkkyysanalyysien perusteella voidaan todeta, että toteutuneen ja ennustetun profiililisän erot johtuvat laskentaan käytettävien hinta- sekä kulutusaikasarjojen epätarkkuudesta. Lappeenrannan Energia Oy:n käyttämät profiililisät osoittautuivat ex-post -tarkastelussa liian suuriksi yhtä asiakasta lukuun ottamatta. Lisäksi tarjousaikana laskettujen profiililisien voidaan katsoa muuttuvan täysin samassa suhteessa hinta-aikasarjan mallintamiseen käytettyjen termiinituotteiden volatiliteettien kanssa. Esiteltyjen vaihtoehtoisten myyntisopimusten hinnoittelumenetelmien voidaan katsoa antavan varsin samanlaisia tuloksia kuin Lappeenrannan Energia Oy:n nykyinen hinnoittelumenetelmä. Saatuihin tuloksiin vaikuttavat kuitenkin painokertoimien estimointiin käytetyn vuoden volatiliteetti sekä profiililisän laskentamenetelmä

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In this study the theoretical part was created to make comparison between different Value at Risk models. Based on that comparison one model was chosen to the empirical part which concentrated to find out whether the model is accurate to measure market risk. The purpose of this study was to test if Volatility-weighted Historical Simulation is accurate in measuring market risk and what improvements does it bring to market risk measurement compared to traditional Historical Simulation. Volatility-weighted method by Hull and White (1998) was chosen In order to improve the traditional methods capability to measure market risk. In this study we found out that result based on Historical Simulation are dependent on chosen time period, confidence level and how samples are weighted. The findings of this study are that we cannot say that the chosen method is fully reliable in measuring market risk because back testing results are changing during the time period of this study.

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In this study we used market settlement prices of European call options on stock index futures to extract implied probability distribution function (PDF). The method used produces a PDF of returns of an underlying asset at expiration date from implied volatility smile. With this method, the assumption of lognormal distribution (Black-Scholes model) is tested. The market view of the asset price dynamics can then be used for various purposes (hedging, speculation). We used the so called smoothing approach for implied PDF extraction presented by Shimko (1993). In our analysis we obtained implied volatility smiles from index futures markets (S&P 500 and DAX indices) and standardized them. The method introduced by Breeden and Litzenberger (1978) was then used on PDF extraction. The results show significant deviations from the assumption of lognormal returns for S&P500 options while DAX options mostly fit the lognormal distribution. A deviant subjective view of PDF can be used to form a strategy as discussed in the last section.

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The thesis is made of three independent chapters interested in the impact of globalization on workers in industrialized countries. The dissertation is especially focused on identifying the causal impact of international trade on workers' mobility, wages, and employment with both a short- and medium-term perspective. The first paper explores the relation between intra-industry trade (IIT) expansion and associated worker flows, taking the latter as an indicator of labor-market adjustment costs. Being the first study to combine theoretical simulations and a novel identification strategy, we find that both theoretical and empirical analyses are consistent with the "smooth adjustment hypothesis", according to which IIT expansion is less disruptive than inter-industry trade expansion. The study therefore lends support to the use of IIT indices as first-pass proxies for the adjustment effects of trade expansion. The second chapter contrasts the impact of increased import competition coming from China and the European Union (EU) on workers in the United Kingdom over a 15-year period. The most salient findings show that increased imports from China had significantly negative effects on workers' earnings, wages and employment. In contrast, larger imports from the EU are associated with positive worker-level outcomes, which is largely explained by the fact that increased imports from the EU were mostly offset by increased same-industry exports to the EU. Besides, we find that increased imports from China exert additional pressure on workers through spillovers to employment and wages in downstream industries. Finally, the last chapter is focused on the impact of exposure to trade and real exchange rate shocks on wages for Swiss manufacturing workers. A particular attention is made to consistently estimate the causal effect in using a two-step gravity-type identification strategy. The study shows that the impact of trade and exchange rate movements is concentrated among high-skilled workers almost exclusively.

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The main objective of this study is to investigate whether the Finnish investors’ country-specific strategy concentrating on emerging markets provides diversification benefits. We also analyze whether the benefits of international diversification has been diminished after periods of high volatility caused by different market crisis. The objective is investigated with three methods: Correlation coefficients, rolling correlations added with OLS trend-lines and Box’s M statistic. All the empirical tests are analyzed and calculated with logarithmic returns of weekly time series data from Friday closing values between January 1995 and December 2007. The number of weekly observations is 678. The data type is total return indices of different countries. Data is collected from DataStream and provided by Datastream Financial. Countries investigated are Finland, Argentina, Brazil, Chile, China, India, Mexico, Poland, Russia, South Africa, South Korea, Thailand and Turkey. The current data is quoted both in U.S. Dollars and local currencies. The empirical results of this thesis show that the correlation coefficients are time-varying across Finland and 12 emerging market countries. Although the correlations have risen from 1995 to 2007, there can be found sub-periods where the correlation has declined from earlier period. The results also indicate that a Finnish investor constructing a portfolio of emerging market countries cannot rely on the correlation coefficients estimated from historical data because of the instability of correlation matrices.

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Using a database of 2,263 responses to R&D public calls in Catalonia, during the period 2007–2010, this paper proceeds to analyse the potential interaction of the territorial and policy dimensions with the propensity to apply for, and be awarded, a public R&D subsidy. Controlling for characteristics at the firm and project level, we estimate models using a two-step procedure. In the first step, our results suggest that large firms which export and which belong to high-tech manufactures are more likely to participate in a public R&D call. Furthermore, both urban location and past experience of such calls have a positive effect. Our territorial proxy of information spillovers shows a positive sign, but this is only significant at intra-industry level. Membership of one of the sectors prioritized by the Catalan government, perhaps surprisingly, does not have a significant impact. In the second step, our results show that cooperative projects, SMEs or old firms shows a positive effect on the probability of obtaining a public subsidy. Finally, the cluster policy does not show a clear relationship with the public R&D call, suggesting that cluster policies and R&D subsidies follow different goals. Our results are in line with previous results in the literature, but they highlight the unequal territorial distribution of the firms which apply and the fact that policymakers should interlink the decision criteria for their public call with other policies. Keywords: Evaluation, R&D policies, territorial approach, clusters JEL Classifications: L53, L25, O38

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This paper examines the direct and indirect impacts of transport infrastructure on industrial employment. We estimate regressions with spatial econometric methods using data from the Spanish regions for the period 1995-2008. We find that the density of motorways and the amount of port traffic (particularly general non-containerized and container traffic) are significant determinants of industrial employment in the region, while the effects of railway density and the amount of airport traffic are unclear. Our empirical analysis shows the existence of significant negative spatial spillovers for the density of motorways and levels of container port traffic while the impact of general non-containerized port traffic seems to be mainly local.

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With this paper we build a two-region model where both innovation and imitation are performed. In particular imitation takes the form of technological spillovers that lagging regions may exploit given certain human capital conditions. We show how the high skill content of each region’s workforce (rather than the average human capital stock) is crucial to determine convergence towards the income level of the leader region and to exploit the technological spillovers coming from the frontier. The same applies to bureaucratic/institutional quality which are conductive to higher growth in the long run. We test successfully our theoretical result over Spanish regions for the period between 1960 and 1997. We exploit system GMM estimators which allow us to correctly deal with endogeneity problems and small sample bias.

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Based on the Knowledge Production Function framework given by Griliches -1979-, we slightly modify it so that the innovative output depends upon a set of factors related to the firm internal characteristics and are influenced by the environment. Specifically, regarding the firm internal determinants the effect of the concentration of the ownership, the composition of the boards of directors and the effect of the nature of the ownership (foreign and public) are analyzed. Additionally, in order to capture the determinants of the environment in which the firm operates other variables concerning the internationalization of market, the agglomeration economies and the regional knowledge externalities are also considered. In order to assess the impact of these determinants on the number of patents and models of use awarded by the firm, the discreteness of the latter variable has to be taken into account. We apply Poisson and Negative Binomial models for a more comprehensive evaluation of the hypothesis in a panel of Spanish manufacturing firms. The results show patenting activity is positively favoured by being located in an environment with a high innovative activity, due to the existence of knowledge spillovers and agglomeration economies.

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Electricity spot prices have always been a demanding data set for time series analysis, mostly because of the non-storability of electricity. This feature, making electric power unlike the other commodities, causes outstanding price spikes. Moreover, the last several years in financial world seem to show that ’spiky’ behaviour of time series is no longer an exception, but rather a regular phenomenon. The purpose of this paper is to seek patterns and relations within electricity price outliers and verify how they affect the overall statistics of the data. For the study techniques like classical Box-Jenkins approach, series DFT smoothing and GARCH models are used. The results obtained for two geographically different price series show that patterns in outliers’ occurrence are not straightforward. Additionally, there seems to be no rule that would predict the appearance of a spike from volatility, while the reverse effect is quite prominent. It is concluded that spikes cannot be predicted based only on the price series; probably some geographical and meteorological variables need to be included in modeling.