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By Paulo P. Freitas, Hugo A. Ferreira, Filipe Cardoso, Susana Cardoso, Ricardo Ferreira (auth.), Manuel Seabra Pereira (eds.)
The Technical college of Lisbon (UTL) is celebrating this 12 months its seventy fifth anniversary. Being a jubilee social gathering, a whole software of occasions happened, together with a two-day Symposium at the examine at UTL. This Symposium addressed the state-of-art in significant parts of excellence at UTL. technological know-how, expertise and innovation and how universities and society usually, create, use and disseminate wisdom have received a becoming signi?cance during the last a long time. UTL doubtless embeds a suitable capability of excellence in numerous components of study in simple and technologies, which bears its improvement at the foundation of a “research collage” version. This publication includes the edited model of the invited lectures that have been introduced by way of popular researchers at UTL. This e-book brings jointly in a assessment demeanour a complete precis of top quality learn contri- tions throughout simple and technologies. The contributing papers are equipped round the following significant parts: – Emergent components (Nanosciences, Quantic Computations and Infor- tion, hazard and Volatility in monetary Markets); – simple Sciences (Mathematics, Physics, Chemistry and Materials); – Social Sciences, Economics and administration Sciences; – existence Sciences and Biotechnology; – Engineering and applied sciences – Nature, atmosphere and Sustainability; – Public future health, meals caliber and defense; – overall healthiness and activity Sciences; – Urbanism, Transports, structure, Arts and layout. The transdisciplinary nature of so much components goals to emphasize a compelling experience of objective within the paintings developed.
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Additional resources for A Portrait of State-of-the-Art Research at the Technical University of Lisbon
Under some conditions both solutions are stationary (with known stationary densities). To appreciate the differences between the Wiener process (the unbounded RW) and the bounded RW, we simulate one trajectory for both processes in the period t >0 , 20 @ with X 0 100 . We considered k 2 , D 1 D 2 2 , W 100 and V 4 . The paths are presented in figure 2. In the neighbourhood of W 100 the function ax is (approximately) zero, so X behaves as a Wiener process (or a random walk in continuous-time).
Volatility clustering is a typical phenomenon in financial time series. ” A measurement of this fact is that, while returns themselves are uncorrelated, absolute returns rt or their squares display a positive, significant and slowly decaying autocorrelation function: Corr rt , rt W ! 0 for Ĳ ranging from a few minutes to several weeks. Periods of high volatility lead to extreme values (and thus to a leptokurtic distribution). Figure 1 shows a typical time series of returns. Any econometric model for returns should capture these general features of financial time series data.
21. 22. 23. 24. 25. 26. 27. 41 Bandi, F. (2002), Short-Term Interest Rate Dynamics: A Spatial Approach, Journal of Financial Economics 65, 73-110. Barndorff-Nielsen, O. & N. Sheppard (2002) Econometric Analysis of Realized Volatility and its use in Estimating Stochastic Volatility Models. Journal of the Royal Statistical Society B 64, 253-280. Bauer, C. “A Better Asymmetric Model of Changing Volatility in Stock Returns: TrendGARCH”, Working Paper 03-05, University Bayreuth, 2005. Bibby, B. & M.
A Portrait of State-of-the-Art Research at the Technical University of Lisbon by Paulo P. Freitas, Hugo A. Ferreira, Filipe Cardoso, Susana Cardoso, Ricardo Ferreira (auth.), Manuel Seabra Pereira (eds.)