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Статті в журналах з теми "Speed of Adjustment (SOA)"
Ataünal, Levent, and Aslı Aybars. "Testing Target-Adjustment and Pecking Order Models of Capital Structure and Estimating Speed of Adjustment." International Journal of Corporate Finance and Accounting 4, no. 1 (January 2017): 1–15. http://dx.doi.org/10.4018/ijcfa.2017010101.
Повний текст джерелаOutla, Adil, and Moustapha Hamzaoui. "Speed of adjustment over entry and exit dynamics." International Journal of Organizational Analysis 26, no. 3 (July 9, 2018): 470–89. http://dx.doi.org/10.1108/ijoa-07-2017-1193.
Повний текст джерелаKim, Mi-Ok, Sangkwon Cha, and Hyung-Rok Jung. "Cash Holding Policy and Competitive Strategy." Korean Accounting Information Association 40, no. 3 (September 30, 2022): 1–26. http://dx.doi.org/10.29189/kaiaair.40.3.1.
Повний текст джерелаYin, Qie Ellie, and Jay R. Ritter. "The Speed of Adjustment to the Target Market Value Leverage Is Slower Than You Think." Journal of Financial and Quantitative Analysis 55, no. 6 (August 6, 2019): 1946–77. http://dx.doi.org/10.1017/s0022109019000516.
Повний текст джерелаImas Iyoha, Agbonrha-Oghoye, Godwin Ohiokha, David Umoru, Sadiq Oshoke Akhor, and Grace Abohiri Igele. "Target capital structure for managerial decision making: Dynamics and determinants." Investment Management and Financial Innovations 19, no. 3 (September 23, 2022): 322–34. http://dx.doi.org/10.21511/imfi.19(3).2022.27.
Повний текст джерелаRani, Neelam, Surendra S. Yadav, and Naliniprava Tripathy. "Capital structure dynamics of Indian corporates." Journal of Advances in Management Research 17, no. 2 (November 11, 2019): 212–25. http://dx.doi.org/10.1108/jamr-12-2017-0125.
Повний текст джерелаMirota, Fryderyk. "The use of meta-analysis in research on corporate cash holdings speed of adjustment." Wiadomości Statystyczne. The Polish Statistician 64, no. 5 (May 28, 2019): 48–73. http://dx.doi.org/10.5604/01.3001.0013.8505.
Повний текст джерелаKarpates, Akbar Aldino, and Viverita Viverita. "Speed of Adjustment and Leverage Deviation - Cost of Equity Nexus: Evidence from Emerging Markets and Crisis." GLOBAL BUSINESS FINANCE REVIEW 27, no. 6 (December 31, 2022): 1–15. http://dx.doi.org/10.17549/gbfr.2022.27.6.1.
Повний текст джерелаWarmana, G. Oka, I. Ketut Rahyuda, Ida Bagus Anom Purbawangsa, and Ni Luh Gede Sri Artini. "Investigating Capital Structure Speed of Adjustment (SOA) of Indonesian Companies for Corporate Value." Global Journal of Flexible Systems Management 21, no. 3 (May 24, 2020): 215–31. http://dx.doi.org/10.1007/s40171-020-00235-9.
Повний текст джерелаWidodo, Puwanto. "DETERMINAN STRUKTUR MODAL DINAMIS : STUDI EMPIRIS DI BURSA EFEK INDONESIA." Inovator 8, no. 2 (September 1, 2019): 1. http://dx.doi.org/10.32832/inovator.v8i1.2506.
Повний текст джерелаДисертації з теми "Speed of Adjustment (SOA)"
Lopes, Natalia Cristina. "Speed of adjustment of capital structure: empirical study." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/13493.
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We analyze the impact of firm-specific characteristics as well as economic factors on the speed of adjustment to the target debt ratio. Using different methods, we document speeds of adjustment ranging from 14.4% to 37%. The results indicate that the speed of adjustment is affected by business-cycle variables: The interaction term related to term spread reveals, as expected, faster adjustment in booms than in recessions and a negative relationship between short term spread and adjustment speed. We also show that the speed of adjustment becomes stationary when the increasing fractions of zero-debt firms are considered.
Analisamos o impacto de características específicas da empresa, bem como os fatores econômicos sobre a velocidade de ajustamento para alcançar o ponto ótimo da dívida. Usando métodos diferentes, encontramos velocidades de ajustamento que variam de 14,4% a 37%. Os resultados indicam que a velocidade de ajustamento é afetada por variáveis do ciclo de negócios: O termo de interação relacionado ao term spread revela, como esperado, um ajustamento mais rápido em booms do que em recessões e uma relação negativa entre o spread de curto prazo e velocidade de ajustamento. Mostramos também que a velocidade de ajustamento torna-se estacionária quando o aumento das de firmas com dívida zero é considerado.
Fong, Wai-Ming. "Trading halts and the speed of adjustment of the market." Connect to resource, 1993. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1269525391.
Повний текст джерелаHusodo, Za??fri Ananto Banking & Finance Australian School of Business UNSW. "Speed of adjustment, volatility and noise in the Indonesia Stock Exchange." Awarded by:University of New South Wales. Banking & Finance, 2008. http://handle.unsw.edu.au/1959.4/41860.
Повний текст джерелаZhu, Ting Ting. "Capital structure in Europe : determinants, market timing and speed of adjustment." Thesis, University of Leicester, 2015. http://hdl.handle.net/2381/33020.
Повний текст джерелаBoulter, Terry. "The efficiency of currency markets: Studies of volatility and speed of adjustment." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16472/1/Terry_Boulter_Thesis.pdf.
Повний текст джерелаBoulter, Terry. "The efficiency of currency markets : studies of volatility and speed of adjustment." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16472/.
Повний текст джерелаHablas, Hossam El-Din Abdel Moneim. "A Study of Inclement Weather Impacts on Freeway Free-Flow Speed." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33880.
Повний текст джерелаThe second part of the research effort attempts to quantify the impact of inclement weather (precipitation and visibility) on traffic stream free-flow speeds along freeway sections. The analysis is conducted using weather (precipitation and visibility) and loop detector data (speed) obtained from Baltimore, Minneapolis/St. Paul, and Seattle, US. The results demonstrate that visibility alone has a minimum impact on free-flow speed with reductions in the range of 1 to 3%. These reductions only appear as the visibility level falls below 1.2 km. The study demonstrates that the impact of snow is more significant than that of rain for similar intensity levels. Reductions caused by rain are in the neighborhood of 2 to 5% depending on the precipitation intensity while reductions caused by snow are in the neighborhood of 6 to 20%. With regards to freezing rain, higher reductions in free-flow speed were observed when compared to rain and snow. Specifically, the free-flow speed was reduced by 14% at the onset of freezing rain precipitation with a maximum decrease of 27% at freezing rain intensity of about 0.53 cm/h for Baltimore and as the case of Seattle the reduction was found to be constant with 31%.
Finally, the paper derives free-flow speed reduction factors that vary as a function of the precipitation type and intensity level. These reduction factors can be incorporated within the Highway Capacity Manual's procedures.
Master of Science
ESCRAGNOLLE-TAUNAY, HENRIQUE D. "A SPATIAL PARTITIONING HEURISTIC FOR AUTOMATIC ADJUSTMENT OF THE 3D NAVIGATION SPEED IN MULTISCALE VIRTUAL ENVIRONMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33439@1.
Повний текст джерелаCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Com a evolução tecnológica, ambientes virtuais em 3D crescem continuamente em complexidade; este é o caso de ambientes multiescala, i.e., ambientes que contêm grupos de objetos com níveis de escala extremamente divergentes. Tal variação em escala dificulta a navegação interativa neste tipo de ambiente dado sua demanda repetitiva e não-intuitiva de ajustes em tanto velocidade quanto escala, levando em consideração os objetos que estão próximos ao observador, para garantir uma navegação estável e confortável. Esforços recentes tem sido desenvolvidos trabalhando com soluções fortemente baseadas na GPU que nem sempre podem ser viáveis dependendo da complexidade de uma cena. Nós apresentamos uma heurística de particionamento espacial para o ajuste automático de velocidade de navegação 3D em um ambiente multiescala virtual, minimizando o esforço computacional e transferindo este para a CPU, permitindo que a GPU possa focar na renderização. Nossa proposta descreve uma estratégia geométrica durante a fase de pré-processamento que nos permite estimar, em tempo real, qual é a menor distância entre o observador e o objeto mais próximo dele. A partir desta informação única, somos capazes de ajustar automaticamente a velocidade de navegação de acordo com a caraterística de escala da região na qual o observador se encontra. Com a informação topológica da cena obtida na fase de pré-processamento, somos capazes de responder, em tempo real, qual é o objeto mais próximo assim como o objeto visível mais próximo, que nos permite propor duas diferentes heurísticas de velocidade de navegação automática. Finalmente, com o objetivo de verificar o ganho de usabilidade alcançado com as abordagens propostas, foram realizados testes de usuário para avaliar a eficiência e precisão da navegação, assim como a satisfação subjetiva do usuário. Os resultados foram particularmente significantes ao demonstrar o ganho em precisão da navegação ao utilizar as abordagens propostas, tanto para usuários experientes quanto para leigos.
With technological evolution, 3D virtual environments continuously increase in complexity; such is the case with multiscale environments, i.e., environments that contain groups of objects with extremely diverging levels of scale. Such scale variation makes it difficult to interactively navigate in this kind of environment since it demands repetitive and unintuitive adjustments in either velocity or scale, according to the objects that are close to the observer, in order to ensure a comfortable and stable navigation. Recent efforts have been developed working with heavy GPU based solutions that are not feasible depending on the complexity of the scene. We present a spatial partitioning heurístic for automatic adjustment of the 3D navigation speed in a multiscale virtual environment minimizing the workload and transferring it to the CPU, allowing the GPU to focus on rendering. Our proposal describes a geometric strategy during the preprocessing phase that allows us to estimate, in real-time phase, which is the shortest distance between the observer and the object nearest to him. From this unique information, we are capable to automatically adjusting the speed of navigation according to the characteristic scale of the region where the observer is. With the scene topological information obtained in a preprocessing phase, we are able to obtain, in real-time, the closest object and the visible objects, which allows us to propose two different heurístics for automatic navigation velocity. Finally, in order to verify the usability gain in the proposed approaches, user tests were conducted to evaluate the accuracy and echiency of the navigation, and users subjective satisfaction. Results were particularly significant for demonstrating accuracy gain in navigation while using the proposed approaches for both laymen and advanced users.
Tan, Lin Chiang Thomas C. "Empirical analysis of Chinese stock market behavior : evidence from dynamic correlations, herding behavior, and speed of adjustment /." Philadelphia, Pa. : Drexel University, 2005. http://dspace.library.drexel.edu/handle/1860/514.
Повний текст джерелаAnagnosti, Maria. "Design and fabrication of a photonic integrated circuit comprising a semi-conductor optical amplifier and a high speed photodiode (SOA-UTC) for >100 Gbit/s applications." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0022.
Повний текст джерелаThis work focuses on the design, fabrication and measurements of a uni-travelling carrier high speed photodiode (UTC PD) and its integration with a semiconductor optical preamplifier (SOA) for short reach 100 Gbit/s optical links, in O- and C- bands. This work also focuses on the design of a duplexer (Tx/Rx) with downstream in O-band and upstream in C-band. The SOA monolithic integration with a high speed PD without an optical filter in between yields major benefits among which: - Increase in the transmission distance. - Increase in the split ratio correlated to the number of connected users. - Decrease of the overall fabrication and assembling cost. The first part of this work is dedicated to optimizing the SOA for high power operation (Psat). The low noise figure (NF), and polarization dependence loss (PDL) are critical parameters for a preamplified receiver. Also complex modulation formats require linear gain regime of the SOA. The current SOA presents 18 dB gain with NF (8 dB), low PDL (<2 dB), and good input power saturation (-8 dBm). Thanks to further optimization of the SOA vertical structure and coupling with the optical fiber, the expected SOA performance is higher Psat >-5 dBm, NF <8 dB, similar PDL and gain. Secondly, the electrical interconnects of the photodiode is optimized to increase the photodiodes’ bandwidth, which allows to demonstrate photodiode with >100 GHz bandwidth. The PD presents high responsivity (R) (0,6 A/W at 1,3 μm and 0.55 A/W at 1,55 μm) and low PDL <1 dB. Also the saturation photocurrent is high (14 mA at 100 GHz). Finally, the SOA-UTC demonstrates high responsivity (95 A/W), low PDL (<2 dB), low NF (8 dB) and a wide 3 dB bandwidth (>95 GHz), which yields a record gain-bandwidth product of 6.1 THz. Large signal measurements at 64 Gbit/s show that our receiver reaches a low sensitivity of -17 dBm for a bit error rate of 10-9, and is expected to reach -14 dBm at 100 Gbit/s
Книги з теми "Speed of Adjustment (SOA)"
Driffield, Nigel. Inward investment, industry concentration and the speed of adjustment. Cardiff: Cardiff Business School, 1999.
Знайти повний текст джерелаBivin, David. Multi-product firms and the speed of adjustment in inventory models. Antwerpen: Universiteit Antwerpen, 1992.
Знайти повний текст джерелаModeling wind adjustment factor and midflame wind speed for Rothermel's surface fire spread model. Fort Collins, CO: United States Department of Agriculture/Forest Service, Rocky Mountain Research Station, 2012.
Знайти повний текст джерелаNsouli, Saleh M. The speed of adjustment and the sequencing of economic reforms: Issues and guidelines for policymakers. [Washington, D.C.]: International Monetary Fund, IMF Institute, 2002.
Знайти повний текст джерелаUnited States. Congress. House. A bill to amend part C of title XVIII of the Social Security Act to speed up by 1 year the application of risk adjustment factors under the Medicare+Choice Program. [Washington, D.C.?]: [United States Government Printing Office], 1997.
Знайти повний текст джерелаM, Hyde G., Washington State University. Cooperative Extension., and United States. Dept. of Agriculture., eds. Potato harvester chain speed adjustment. Pullman: Cooperative Extension, College of Agriculture and Home Economics, Washington State University, 1990.
Знайти повний текст джерелаNaseer, Abdul, S. M. Ali Abbas, and Kenji Moriyama. Fiscal Adjustment in Sudan: Size, Speed and Composition. International Monetary Fund, 2010.
Знайти повний текст джерелаNaseer, Abdul, S. M. Ali Abbas, and Kenji Moriyama. Fiscal Adjustment in Sudan: Size, Speed and Composition. International Monetary Fund, 2010.
Знайти повний текст джерелаNaseer, Abdul, S. M. Ali Abbas, and Kenji Moriyama. Fiscal Adjustment in Sudan: Size, Speed and Composition. International Monetary Fund, 2010.
Знайти повний текст джерелаFANG, LU. Psychological adjustment Quick-speed Roms: Case practical version. China Legal Publishing House, 2014.
Знайти повний текст джерелаЧастини книг з теми "Speed of Adjustment (SOA)"
Musgrave, Richard. "The Speed of Adjustment." In Economic Theory, Dynamics and Markets, 133–42. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1677-4_10.
Повний текст джерелаDavidson, Louise. "Did Keynes Reverse the Marshallian Speed of Adjustment?" In Uncertainty, International Money, Employment and Theory, 392–410. London: Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1007/978-1-349-14991-9_28.
Повний текст джерелаKorkmaz, Turhan, and Aslı Yıkılmaz Erkol. "Capital Structure Adjustment Speed: Evidence from Borsa Istanbul Sub-Sectors." In Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, 437–56. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54108-8_18.
Повний текст джерелаTran, Trung Vinh, Tha Thi Bui, Trang Doan Thuy Nguyen, Cam Ngoc Thi Huynh, and Phuoc Vinh Tran. "Block-Moving Approach for Speed Adjustment on Following Vehicle in Car-Following Model." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 100–109. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77818-1_10.
Повний текст джерелаCalderón-Madrid, Angel. "Stock-Flow Adjustment and the Speed of Convergence of the Economy towards its Long-run Equilibrium." In The Role of Private Financial Wealth in a Portfolio Model, 67–116. London: Palgrave Macmillan UK, 1995. http://dx.doi.org/10.1057/9780230375543_3.
Повний текст джерелаSaltanovs, Rodion, and Alexander Krainyukov. "The Dynamic Adjustment Capabilities of the Plasma Electrolytic Oxidation Process Using High-Speed Power Inverter Micro Modules." In Lecture Notes in Networks and Systems, 521–30. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44610-9_51.
Повний текст джерелаWorthington, B. S., J. L. Firth, R. Ordidge, M. K. Stehling, R. Coxon, P. Gibbs, A. Blamire, and P. Mansfield. "The value of real time adjustment of T1 weighting in ultra high speed IR-EPI of the brain." In Proceedings of the XIV Symposium Neuroradiologicum, 278. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-49329-4_89.
Повний текст джерелаNatalinova, Natalya, Sergei Nizkii, and Aleksanov Vladislav. "Control Method for Calibration Interval Adjustment of Speed Meters Based on the Statistical Analysis of Previous Calibrations Data." In Recent Developments in the Field of Non-Destructive Testing, Safety and Materials Science, 19–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99060-2_3.
Повний текст джерелаMichael, Margarat, and B. Elizabeth Caroline. "All-optical Logic Gate Using Photonic Crystals for Ultra-Fast Telecommunication Applications." In Photonic Materials: Recent Advances and Emerging Applications, 21–42. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815049756123010005.
Повний текст джерелаMolina, Juan Ramón, Macarena Ortega, Juan Antonio Navarro, and Francisco Rodríguez y. Silva. "Modeling wind adjustment factor in Mediterranean stands of Southern Europe." In Advances in Forest Fire Research 2022, 1714–18. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_264.
Повний текст джерелаТези доповідей конференцій з теми "Speed of Adjustment (SOA)"
Karri, Krishna M., and Naresh K. Koyyapu. "Noise Measurements and Mitigation for a Foil Assisted Catamaran." In SNAME International Conference on Fast Sea Transportation. SNAME, 2021. http://dx.doi.org/10.5957/fast-2021-021.
Повний текст джерелаCunningham, Violet, Alexander Tilton, Dylon Maertens, and Shawn Duan. "Innovative Design of Indoor-Outdoor Powerchair." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23497.
Повний текст джерелаYu, John J. "Onset of 1/2X Vibration and Its Prevention." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-59591.
Повний текст джерела"ADJUSTMENT NEEDS IN SOA BASED E-LEARNING APPLICATIONS." In 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001261901230127.
Повний текст джерелаZhang, Hui, and Hongwei Ma. "Study of Sloped Trench Casing Treatment on Performance and Stability of a Transonic Axial Compressor." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-28140.
Повний текст джерелаKim, Sogkyun, Sean Ellis, and Mark Challener. "Real-Time Engine Modelling of a Three Shafts Turbofan Engine: From Sub-Idle to Max Power Rate." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90656.
Повний текст джерелаAdiba, Salmadhia Putri. "Leverage Adjustment Speed: Evidence in Indonesia." In 7th Sriwijaya Economics, Accounting, and Business Conference (SEABC 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220304.034.
Повний текст джерелаSudhapriya, K., A. Amudha, S. Divyapriya, M. Aravind, S. Devaraj, N. Durairaj, and T. Prakash. "Wireless Vehicle Control with Speed Adjustment." In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2022. http://dx.doi.org/10.1109/iccmc53470.2022.9753688.
Повний текст джерелаSchinko, Norbert, Martin Marx, Martin G. Rose, Stephan Staudacher, Jochen Gier, and Norbert Hu¨bner. "“Online Throughflow”: Automatic Simultaneous Simulation of an Axial Flow Turbine." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22240.
Повний текст джерелаDou, Yifang, Yifei Zhao, and Feiquan Li. "Evaluation on Operating Speed of Expressway Sign Speed Adjustment." In 20th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784483053.122.
Повний текст джерелаЗвіти організацій з теми "Speed of Adjustment (SOA)"
Blinder, Alan. More on the Speed of Adjustment in Inventory Models. Cambridge, MA: National Bureau of Economic Research, May 1986. http://dx.doi.org/10.3386/w1913.
Повний текст джерелаMenikoff, Ralph. Explosive Products EOS: Adjustment for detonation speed and energy release. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1154960.
Повний текст джерелаAndrews, Patricia L. Modeling wind adjustment factor and midflame wind speed for Rothermel's surface fire spread model. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2012. http://dx.doi.org/10.2737/rmrs-gtr-266.
Повний текст джерела