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Готові списки джерел за темами / High-frequency dynamics

Добірка наукової літератури з теми "High-frequency dynamics"

Автор: Grafiati

Опубліковано: 28 січня 2023

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Статті в журналах з теми "High-frequency dynamics":

1

Golosovsky, M., M. Tsindlekht, and D. Davidov. "High-frequency vortex dynamics in." Superconductor Science and Technology 9, no. 1 (January 1, 1996): 1–15. http://dx.doi.org/10.1088/0953-2048/9/1/001.

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2

Niederer, Peter F., Rudolf Leuthold, Eric H. Bush, Donath R. Spahn, and Edith R. Schmid. "High-frequency ventilation: Oscillatory dynamics." Critical Care Medicine 22, SUPPL. (September 1994): S58—S65. http://dx.doi.org/10.1097/00003246-199422091-00005.

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3

Chang, Yuan Lung. "Inferring Markov Chain for Modeling Order Book Dynamics in High Frequency Environment." International Journal of Machine Learning and Computing 5, no. 3 (June 2015): 247–51. http://dx.doi.org/10.7763/ijmlc.2015.v5.515.

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4

Beenakker, C. W. J., K. J. H. van Bemmel, and P. W. Brouwer. "High-frequency dynamics of wave localization." Physical Review E 60, no. 6 (December 1, 1999): R6313—R6315. http://dx.doi.org/10.1103/physreve.60.r6313.

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5

Farutin, A. M., and V. I. Marchenko. "High-field low-frequency spin dynamics." Journal of Experimental and Theoretical Physics Letters 83, no. 6 (May 2006): 238–39. http://dx.doi.org/10.1134/s002136400606004x.

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6

Bove, L. E., C. Petrillo, and F. Sacchetti. "High frequency dynamics of liquid metals." Journal of Neutron Research 14, no. 4 (December 2006): 339–44. http://dx.doi.org/10.1080/10238160601049088.

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7

Sani, L., L. E. Bove, C. Petrillo, and F. Sacchetti. "High frequency dynamics of liquid bismuth." Journal of Non-Crystalline Solids 353, no. 32-40 (October 2007): 3139–44. http://dx.doi.org/10.1016/j.jnoncrysol.2007.05.047.

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8

Scopigno, T., E. Pontecorvo, R. Di Leonardo, M. Krisch, G. Monaco, G. Ruocco, B. Ruzicka, and F. Sette. "High-frequency transverse dynamics in glasses." Journal of Physics: Condensed Matter 15, no. 11 (March 10, 2003): S1269—S1278. http://dx.doi.org/10.1088/0953-8984/15/11/345.

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9

Dubelaar, George B. J., Paul J. F. Geerders, and Richard R. Jonker. "High frequency monitoring reveals phytoplankton dynamics." Journal of Environmental Monitoring 6, no. 12 (2004): 946. http://dx.doi.org/10.1039/b409350j.

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10

Ruocco, Giancarlo, and Francesco Sette. "High-frequency vibrational dynamics in glasses." Journal of Physics: Condensed Matter 13, no. 41 (September 28, 2001): 9141–64. http://dx.doi.org/10.1088/0953-8984/13/41/307.

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Дисертації з теми "High-frequency dynamics":

1

Line, Andrew James. "Computational modelling of helicopter high-frequency dynamics." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413420.

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2

ZAYAS, ZOYNE PEDRERO. "HIGH-FREQUENCY DYNAMICS OF THE BRAZILIAN STOCK MARKET." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7614@1.

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Анотація:

COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
A modelagem do mercado financeiro requer uma descrição completa da estatística dos preços assim como de sua dinâmica. Analisamos as flutuações de preço do mercado de ações brasileiro (IBOVESPA) em escala de tempo intradiária, no período 2002-2004, considerando distribuições q- Gaussianas P(q) (x,t) provenientes da estatística não-extensiva de Tsallis. Estas distribuições são soluções de uma equação de Fokker-Planck (EFP) não-linear, que permite modelar a difusão anômala observada na série temporal de preços de alta freqüência a partir de mecanismos de feedback estatístico na dinâmica de formação de preços. Nossos resultados mostram que, quando retornos de preços são medidos em escalas temporais de até 30 minutos, as distribuições empíricas são bem descritas por q-Gaussianas, com parâmetro não- extensivo q estacionário e com truncamento exponencial das caudas. Através da análise das propriedades de escala temporal dos primeiros momentos das distribuições empíricas, analisamos a consistência entre a evolução temporal observada e a prevista pela EFP não- linear e obtemos os parâmetros do modelo que caracterizam a dinâmica de nosso mercado. A presença de correlação temporal retarda a convergência das distribuições de retornos de preços para o regime Gaussiano de acordo com o T.L.C., surgindo assim um novo regime q-Gaussiano para escalas de tempo curtas, cujo comportamento superdifusivo é regido pela EFP considerada. Nossos resultados indicam que esta modelagem fornece uma descrição adequada para a dinâmica das flutuações de preços intradiárias do IBOVESPA.
The stock market modeling requires a complete statistical description of the price and its dynamics. We analyze the intra-day Brazilian stock market price fluctuations (IBOVESPA), in the period 2002-2004, considering q-Gaussians distributions P(q) (x,t) derived from Tsallis non- extensive statistics. Such distributions are solutions of a non-linear Fokker-Planck equation (F.P.E.), allowing to model the anomalous diffusion found at high frequency price time series from statistical feedback mechanisms in the dynamics of price formation. Our results show that, when returns are measured over intervals less than 30 minutes, the empirical distributions are well fitted by q- Gaussians, with stationary non-extensive parameter q and exponential damped tails. From the time scale properties of the first moments of the empirical distributions, we analyze the consistency between the observed time evolution and the foreseen behavior within the non-linear F.P.E. and get the model parameters that characterize our high frequency market dynamics. The presence of time correlation slows down the convergence of the price return distributions to a Gaussian regime according to C.L.T., giving rise to a new q-Gaussian regime for very short time scales, with super diffusive behavior driven by the considered F.P.E. Our results show that this modeling provides an adequate description of the dynamics of the Brazilian stock market intra-day price fluctuations.

3

Mattiussi, Vanessa. "Non parametric estimation of high-frequency volatility and correlation dynamics." Thesis, City University London, 2010. http://openaccess.city.ac.uk/12095/.

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This thesis addresses the problem of quantitatively evaluating the temporal dynamics that characterized financial time series. In particular, we perform an accurate analysis of the Fourier estimator, a newly proposed nonparametric methodology to measure ex-post volatility and cross-volatilities as functions of time, when financial assets are observed at different highfrequency levels over the day. The estimator has the peculiar feature to employ the observed data in their original form, therefore exploiting all the available information in the sample. We first show how to considerably improve the numerical performance of the Fourier method making possible the analysis of large sets of data, as it is usually the case with high-frequency series. Secondly, we use Monte Carlo simulation methods to study the behavior of three driving parameters in the estimation procedure, when the effects of both irregular sampling and microstructure noise are taken into account. The estimator is showed to be particularly sensitive to one of these quantities, which is in turn used to control the contribution of the above effects. Integrated financial correlation is also analyzed within two distinct comparative studies that involve other multivariate measures. The analysis is then extended to consider the entire evolution of the underlying correlation process. Finally, we propose a new class of nonparametric spot volatility estimators, which is showed to include the Fourier method as a particular case. The full limit theory under infill asymptotics in the pure diffusive settings of the class is derived. Empirical evidence in support of our conclusions is also provided.

4

Chang, Patrick. "High-frequency correlation dynamics: Is the Epps effect a bias?" Master's thesis, Faculty of Science, 2021. http://hdl.handle.net/11427/33682.

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We tackle the question of whether Trade and Quote data from high-frequency finance are representative of discrete connected events, or whether these measurements can still be faithfully represented as random samples of some underlying Brownian diffusion in the context of modelling correlation dynamics. In particular, if the implicit notion of instantaneous correlation dynamics that are independent of the time-scale a reasonable assumption. To this end, we apply kernel averaging non-uniform fast Fourier transforms in the context of the Malliavin-Mancino integrated and instantaneous volatility estimators to speed up the estimators. We demonstrate the implicit time-scale investigated by the estimator by comparing it to the theoretical Epps effect arising from asynchrony. We compare the Malliavin-Mancino and Cuchiero-Teichmann Fourier instantaneous estimators and demonstrate the relationship between the instantaneous Epps effect and the cutting frequencies in the Fourier estimators. We find that using the previous tick interpolation in the Cuchiero-Teichmann estimator results in unstable estimates when dealing with asynchrony, while the ability to bypass the time domain with the Malliavin-Mancino estimator allows it to produce stable estimates and is therefore better suited for ultra high-frequency finance. We derive the Epps effect arising from asynchrony and provide a refined approach to correct the effect. We compare methods to correct for the Epps effect arising from asynchrony when the underlying process is a Brownian diffusion, and when the underlying process is from discrete connected events (proxied using a D-type Hawkes process). We design three experiments using the Epps effect to discriminate the underlying processes. These experiments demonstrate that using a Hawkes representation recovers the empiricism reported in the literature under simulation conditions that cannot be achieved when using a Brownian representation. The experiments are applied to Trade and Quote data from the Johannesburg Stock Exchange and the evidence suggests that the empirical measurements are from a system of discrete connected events where correlations are an emergent property of the time-scale rather than an instantaneous quantity that exists at all time-scales.

5

Ajibose, Olusegun K. "Nonlinear dynamics and contact fracture mechanics of high frequency percussive drilling." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=61011.

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6

Diaz, Mario Alfonso. "High-Frequency Ultrasound Drug Delivery and Cavitation." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/1050.

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The viability of a drug delivery system which encapsulates chemotherapeutic drugs (Doxorubicin) in the hydrophobic core of polymeric micelles and triggers release by ultrasound application was investigated at an applied frequency of 500 kHz. The investigation also included elucidating the mechanism of drug release at 70 kHz, a frequency which had previously been shown to induce drug release. A fluorescence detection chamber was used to measure in vitro drug release from both Pluronic and stabilized micelles and a hydrophone was used to monitor bubble activity during the experiments. A threshold for release between 0.35 and 0.40 in mechanical index was found at 70 kHz and shown to correspond with the appearance of the subharmonic signal in the acoustic spectrum. Additionally, drug release was found to correlate with increase in subharmonic emission. No evidence of drug release or of the subharmonic signal was detected at 500 kHz. These findings confirmed the role of cavitation in ultrasonic drug release from micelles. A mathematical model of a bubble oscillator was solved to explore the differences in the behavior of a single 10 um bubble under 70 and 500 kHz ultrasound. The dynamics were found to be fundamentally different; the bubble follows a period-doubling route to chaos at 500 kHz and an intermittent route to chaos at 70 kHz. It was concluded that this type of "intermittent subharmonic" oscillation is associated with the apparent drug release. This research confirmed the central role of cavitation in ultrasonically-triggered drug delivery from micelles, established the importance of subharmonic bubble oscillations as an indicator, and expounded the key dynamic differences between 70 and 500 kHz ultrasonic cavitation.

7

Deyle, Travis. "Ultra high frequency (UHF) radio-frequency identification (RFID) for robot perception and mobile manipulation." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42903.

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Personal robots with autonomy, mobility, and manipulation capabilities have the potential to dramatically improve quality of life for various user populations, such as older adults and individuals with motor impairments. Unfortunately, unstructured environments present many challenges that hinder robot deployment in ordinary homes. This thesis seeks to address some of these challenges through a new robotic sensing modality that leverages a small amount of environmental augmentation in the form of Ultra High Frequency (UHF) Radio-Frequency Identification (RFID) tags. Previous research has demonstrated the utility of infrastructure tags (affixed to walls) for robot localization; in this thesis, we specifically focus on tagging objects. Owing to their low-cost and passive (battery-free) operation, users can apply UHF RFID tags to hundreds of objects throughout their homes. The tags provide two valuable properties for robots: a unique identifier and receive signal strength indicator (RSSI, the strength of a tag's response). This thesis explores robot behaviors and radio frequency perception techniques using robot-mounted UHF RFID readers that enable a robot to efficiently discover, locate, and interact with UHF RFID tags applied to objects and people of interest. The behaviors and algorithms explicitly rely on the robot's mobility and manipulation capabilities to provide multiple opportunistic views of the complex electromagnetic landscape inside a home environment. The electromagnetic properties of RFID tags change when applied to common household objects. Objects can have varied material properties, can be placed in diverse orientations, and be relocated to completely new environments. We present a new class of optimization-based techniques for RFID sensing that are robust to the variation in tag performance caused by these complexities. We discuss a hybrid global-local search algorithm where a robot employing long-range directional antennas searches for tagged objects by maximizing expected RSSI measurements; that is, the robot attempts to position itself (1) near a desired tagged object and (2) oriented towards it. The robot first performs a sparse, global RFID search to locate a pose in the neighborhood of the tagged object, followed by a series of local search behaviors (bearing estimation and RFID servoing) to refine the robot's state within the local basin of attraction. We report on RFID search experiments performed in Georgia Tech's Aware Home (a real home). Our optimization-based approach yields superior performance compared to state of the art tag localization algorithms, does not require RF sensor models, is easy to implement, and generalizes to other short-range RFID sensor systems embedded in a robot's end effector. We demonstrate proof of concept applications, such as medication delivery and multi-sensor fusion, using these techniques. Through our experimental results, we show that UHF RFID is a complementary sensing modality that can assist robots in unstructured human environments.

8

Mercier, Emeric. "High-frequency nonlinear dynamics of a laser diode with phase-conjugate feedback." Thesis, CentraleSupélec, 2016. http://www.theses.fr/2016SUPL0010/document.

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Nous étudions l’influence d’une rétroaction optique à conjugaison de phase dans une diode laser. Ce type de rétroaction a été peu étudié et nous montrons ici qu’il donne des résultats intéressants, permettant de débloquer du contenu à haute fréquence. Cela pourrait mener à de meilleures performances dans des systèmes de génération de nombres aléatoires utilisant du chaos optique
We study the influence of phase-conjugate feedback in a laser diode. This type of feedback has not been studied a lot and yet we show here that it can give interesting results. It unlocks oscillations at high frequencies. This could lead to an improvement in the performance of random number generators based on optical chaos

9

Belousov, Dennis. "Development of a Vehicle Simulation Model Consisting of Low and High Frequency Dynamics." Thesis, Linköpings universitet, Fordonssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133236.

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As vehicle testing on existing vehicles is both time and resource consuming, the work of testing safety algorithms on vehicle is desired to be made more efficient. Therefore the goal of this thesis is to study and develop a vehicle simulation model that can simulate desired dynamics of existing and non-existing vehicles. The developed model consist of two areas of application: slow dynamics and vibrational dynamics. These areas are developed and validated using different methods, but as a part of the simulator, they are to be simulated together. For the slow, low frequency, vehicle motion, a three state transient motion model is derived and examined. The possibility of parametrisation is studied and performed using prediction error minimisation. For the vibration, high frequency model, a combination of a linear quarter car model with wheel motion is used to estimate road vibration characteristics. The modelled road is used to simulate the vehicle behaviour. The suggested methods regarding the vibration modelling and road estimation are performed using power spectral density as the road is not known determinately. Wheel speeds are used to study the power spectral densities as they are available at high sampling frequencies. The available tools and sensors used during this thesis are limited to existing vehicle sensors and GPS signals. The effect of this limitation is studied and the results are discussed.

10

Breuer, Arne [Verfasser]. "An Empirical Analysis of Order Dynamics in a High Frequency Trading Environment. / Arne Breuer." Berlin : Duncker & Humblot GmbH, 2020. http://d-nb.info/1238496415/34.

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Книги з теми "High-frequency dynamics":

1

Alizadeh, Sassan. High- and low-frequency exchange rate volatility dynamics: Range-based estimation of stochastic volatility models. Cambridge, MA: National Bureau of Economic Research, 2001.

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2

Andersen, Torben G. Heterogeneous information arrivals and return volatility dynamics: Uncovering the long-run in high frequency returns. Cambridge, MA: National Bureau of Economic Research, 1996.

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3

Agarwalla, Sobhesh Kumar. Whether cross-listing, stock-specific and market-wide calender events impact intraday volatility dynamics?: Evidence from the Indian stock market using high-frequency data. Ahmedabad: Indian Institute of Management, 2012.

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4

Feucht, Dennis. Designing high-performance amplifiers. Raleigh, NC: SciTech Pub., 2010.

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5

Wieserman, W. R. High frequency, high temperature specific core loss and dynamic B-H hysteresis loop characteristics of soft magnetic alloys. [Washington, D.C.]: NASA, 1990.

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6

Kamenskaya, Valentina, and Leonid Tomanov. The fractal-chaotic properties of cognitive processes: age. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1053569.

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In the monograph the literature information about the nature of stochastic processes and their participation in the work of the brain and human behavior. Established that the real cognitive processes and mental functions associated with the procedural side of external events and the stochastic properties of the internal dynamics of brain systems in the form of fluctuations of their parameters, including cardiac rhythm generation and sensorimotor reactions. Experimentally proved that the dynamics of the measured physiological processes is in the range from chaotic regime to a weakly deterministic — fractal mode. Fractal mode determines the maximum order and organization homeostasis of cognitive processes and States, as well as high adaptive ability of the body systems with fractal properties. The fractal-chaotic dynamics is a useful quality to examine the actual physiological and psychological systems - a unique numerical identification of the order and randomness of the processes through calculation of fractal indices. The monograph represents the results of many years of experimental studies of the reflection properties of stochastic sensorimotor reactions, as well as stochastic properties of heart rate in children, Teens and adults in the age aspect in the speech activity and the perception of different kinds of music with its own frequency-spectral structure. Designed for undergraduates, graduate students and researchers that perform research and development on cognitive psychology and neuroscience.

7

Mark, Salmon, Chris Adcock, and Ingmar Nolte. High Frequency Trading and Limit Order Book Dynamics. Taylor & Francis Group, 2016.

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8

Salmon, Mark, Chris Adcock, and Ingmar Nolte. High Frequency Trading and Limit Order Book Dynamics. Taylor & Francis Group, 2014.

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9

Mark, Salmon, Chris Adcock, and Ingmar Nolte. High Frequency Trading and Limit Order Book Dynamics. Taylor & Francis Group, 2016.

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10

Adcock, Chris, Ingmar Nolte, and Mark H. Salmon. High Frequency Trading and Limit Order Book Dynamics. Taylor & Francis Group, 2020.

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Частини книг з теми "High-frequency dynamics":

1

Hall, Anthony D., and Nikolaus Hautsch. "Order aggressiveness and order book dynamics." In High Frequency Financial Econometrics, 133–65. Heidelberg: Physica-Verlag HD, 2008. http://dx.doi.org/10.1007/978-3-7908-1992-2_7.

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2

Bien, Katarzyna, Ingmar Nolte, and Winfried Pohlmeier. "A multivariate integer count hurdle model: theory and application to exchange rate dynamics." In High Frequency Financial Econometrics, 31–48. Heidelberg: Physica-Verlag HD, 2008. http://dx.doi.org/10.1007/978-3-7908-1992-2_3.

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3

Belyaev, Alexander K. "High Frequency Dynamics of Engineering Structures." In Advanced Dynamics and Control of Structures and Machines, 77–96. Vienna: Springer Vienna, 2004. http://dx.doi.org/10.1007/978-3-7091-2774-2_7.

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4

Weinmann, Alexander. "Singular Perturbations. Unmodelled High-Frequency Dynamics." In Uncertain Models and Robust Control, 537–46. Vienna: Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-6711-3_33.

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5

Gil’ denburg, V. B., I. S. Gushin, S. A. Dvinin, and A. V. Kim. "Dynamics of a High-Frequency Streamer." In Nonlinear Waves 3, 91–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75308-4_8.

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6

Hautsch, Nikolaus. "Autoregressive Discrete Processes and Quote Dynamics." In Econometrics of Financial High-Frequency Data, 331–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21925-2_13.

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7

Earle, Keith A., and Alex I. Smirnov. "High Field ESR: Applications to Protein Structure and Dynamics." In Very High Frequency (VHF) ESR/EPR, 95–143. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-4379-1_4.

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8

Foley, Jason R., Jacob C. Dodson, and Alain L. Beliveau. "Filter Response to High Frequency Shock Events." In Topics in Nonlinear Dynamics, Volume 3, 61–69. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2416-1_6.

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9

Stuckel, Katie J., William H. Semke, Nicolai Baer, and Richard R. Schultz. "A High Frequency Stabilization System for UAS Imaging Payloads." In Structural Dynamics, Volume 3, 1411–19. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9834-7_124.

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10

Borel, Alain, Lothar Helm, and André E. Merbach. "Molecular Dynamics of Gd(III) Complexes in Aqueous Solution by HF EPR." In Very High Frequency (VHF) ESR/EPR, 207–47. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-4379-1_7.

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Тези доповідей конференцій з теми "High-frequency dynamics":

1

Leighton, Timothy G. "Nonlinear Bubble Dynamics And The Effects On Propagation Through Near-Surface Bubble Layers." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843012.

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2

Preisig, James. "The impact of underwater acoustic channel structure and dynamics on the performance of adaptive coherent equalizers." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1842997.

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3

Su, Chin B. "Dynamics of high-frequency lasers." In OE/LASE '90, 14-19 Jan., Los Angeles, CA, edited by Brian M. Hendrickson and Gerhard A. Koepf. SPIE, 1990. http://dx.doi.org/10.1117/12.18139.

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4

Ol, M. "High-Frequency, High-Amplitude Pitch Problem: Airfoils, Plates, and Wings." In 39th AIAA Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-3686.

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5

Matlik, John, and Thomas Farris. "High Frequency, High Temperature Fretting Fatigue Investigations." In 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-1681.

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6

ANDERSON, T., A. NAYFEH, and B. BALACHANDRAN. "COUPLING BETWEEN HIGH-FREQUENCY MODES AND A LOW-FREQUENCY MODE: THEORY AND EXPERIMENT." In 34th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-1595.

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7

Akhtar, Imran, Jeff Borggaard, Traian Illescu, and Calvin Ribbens. "Modeling High Frequency Modes for Accurate Low-Dimensional Galerkin Models." In 39th AIAA Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-4202.

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8

Berg, J. Scott. "Longitudinal Dynamics in High-Frequency FFAG Recirculating Accelerators." In HIGH INTENSITY AND HIGH BRIGHTNESS HADRON BEAMS: 20th ICFA Advanced Beam Dynamics Workshop on High Intensity and High Brightness Hadron Beams ICFA-HB2002. AIP, 2002. http://dx.doi.org/10.1063/1.1522628.

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9

Beysens, Daniel A. "Dynamics of Liquid-Vapor Phase Transition under High Frequency Vibrations." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764180.

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10

Desvillettes, Laurent, and Silvia Lorenzani. "Analytical and numerical computations for high frequency MEMS." In 28TH INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS 2012. AIP, 2012. http://dx.doi.org/10.1063/1.4769467.

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Звіти організацій з теми "High-frequency dynamics":

1

Rimberg, Alexander J. Investigation of High-Frequency Charge Dynamics in Nanoscale Structures. Fort Belvoir, VA: Defense Technical Information Center, March 2005. http://dx.doi.org/10.21236/ada431655.

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2

Hayden, S. M., G. Aeppli, P. Dai, H. A. Mook, T. G. Perring, S. W. Cheong, Z. Fisk, F. Dogan, and T. E. Mason. Absolute measurements of the high-frequency magnetic dynamics in high-{Tc} superconductors. Office of Scientific and Technical Information (OSTI), August 1997. http://dx.doi.org/10.2172/554760.

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3

Fung, Inez. High-frequency and Vertical Variations of Soil Moisture and their Impact on Ecosystem Dynamics. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1691503.

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4

Andersen, Torben, and Tim Bollerslev. Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns. Cambridge, MA: National Bureau of Economic Research, September 1996. http://dx.doi.org/10.3386/w5752.

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5

Alizadeh, Sassan, Michael Brandt, and Francis Diebold. High- and Low-Frequency Exchange Rate Volatility Dynamics: Range-Based Estimation of Stochastic Volatility Models. Cambridge, MA: National Bureau of Economic Research, March 2001. http://dx.doi.org/10.3386/w8162.

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6

Smith, Sharon L. The Roles of Advection and In Situ Growth in Determining the Dynamics of Continental Shelf Zooplankton: High Frequency Measurements of Zooplankton Biomass Coupled with Measurements of Secondary Productivity in the Middle Atlantic Bight. Office of Scientific and Technical Information (OSTI), March 1999. http://dx.doi.org/10.2172/8178.

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7

Kurmann, André, Étienne Lalé, and Lien Ta. Measuring Small Business Dynamics and Employment with Private-Sector Real-Time Data. CIRANO, August 2022. http://dx.doi.org/10.54932/xsph3669.

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Анотація:

The COVID-19 pandemic has led to an explosion of research using private-sector datasets to measure business dynamics and employment in real-time. Yet questions remain about the representativeness of these datasets and how to distinguish business openings and closings from sample churn – i.e., sample entry of already operating businesses and sample exits of businesses that continue operating. This paper proposes new methods to address these issues and applies them to the case of Homebase, a real-time dataset of mostly small service-sector sector businesses that has been used extensively in the literature to study the effects of the pandemic. We match the Homebase establishment records with information on business activity from Safegraph, Google, and Facebook to assess the representativeness of the data and to estimate the probability of business closings and openings among sample exits and entries. We then exploit the high frequency / geographic detail of the data to study whether small service-sector businesses have been hit harder by the pandemic than larger firms, and the extent to which the Paycheck Protection Program (PPP) helped small businesses keep their workforce employed. We find that our real-time estimates of small business dynamics and employment during the pandemic are remarkably representative and closely fit population counterparts from administrative data that have recently become available. Distinguishing business closings and openings from sample churn is critical for these results. We also find that while employment by small businesses contracted more severely in the beginning of the pandemic than employment of larger businesses, it also recovered more strongly thereafter. In turn, our estimates suggests that the rapid rollout of PPP loans significantly mitigated the negative employment effects of the pandemic. Business closings and openings are a key driver for both results, thus underlining the importance of properly correcting for sample churn.

8

Diakonova, Marina, Corinna Ghirelli, Luis Molina, and Javier J. Pérez. The economic impact of conflict-related and policy uncertainty shocks: the case of Russia. Madrid: Banco de España, November 2022. http://dx.doi.org/10.53479/23707.

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Анотація:

We show how policy uncertainty and conflict-related shocks impact the dynamics of economic activity (GDP) in Russia. We use alternative indicators of “conflict”, relating to specific aspects of this general concept: geopolitical risk, social unrest, outbreaks of political violence and escalations into internal armed conflict. For policy uncertainty we employ the workhorse economic policy uncertainty (EPU) indicator. We use two distinct but complementary empirical approaches. The first is based on a time series mixed-frequency forecasting model. We show that the indicators provide useful information for forecasting GDP in the short run, even when controlling for a comprehensive set of standard high-frequency macro-financial variables. The second approach, is a SVAR model. We show that negative shocks to the selected indicators lead to economic slowdown, with a persistent drop in GDP growth and a short-lived but large increase in country risk.

9

Gamboa-Estrada, Fredy, and Jose Vicente Romero. Common and idiosyncratic movements in Latin-American Exchange Rates. Banco de la República, April 2021. http://dx.doi.org/10.32468/be.1158.

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We propose a simple theoretical and empirical approach to differentiate between common and idiosyncratic exchange rate movements in 5 Latin-American economies: Brazil, Chile, Colombia, Mexico, and Peru. Our approach allows us to distinguish the effects on exchange rates of a regional exchange rate common factor and macroeconomic fundamentals differentials. The methodology and estimation strategy are suitable for both low and high frequency settings. We provide evidence that the regional common factor has a significant effect on the dynamics of the Latin-American exchange rates. In our estimations the relation between exchange rates and the common factor is contemporaneous and stable during the studied period.

10

Armstrong, William D., William R. Lindberg, John E. McInroy, and Jonathan W. Naughton. Active Flutter Suppression Using Cooperative, High Frequency, Dynamic-Resonant Aero-Effectors. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada463491.

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