Academic literature on the topic 'Linear Assets'
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Journal articles on the topic "Linear Assets"
Kasaï, Ndahiriwe, and Ruthira Naraidoo. "Financial assets, linear and nonlinear policy rules." Journal of Economic Studies 39, no. 2 (May 11, 2012): 161–77. http://dx.doi.org/10.1108/01443581211222644.
Full textSeneviratne, Dammika, Lorenzo Ciani, Marcantonio Catelani, and Diego Galar. "Smart maintenance and inspection of linear assets: An Industry 4.0 approach." ACTA IMEKO 7, no. 1 (April 1, 2018): 50. http://dx.doi.org/10.21014/acta_imeko.v7i1.519.
Full textMuckleroy, G., D. Stewart, and M. L. Pickering. "Managing Priorities: CRW's Program for Owning Linear Assets." Proceedings of the Water Environment Federation 2016, no. 7 (January 1, 2016): 3699–724. http://dx.doi.org/10.2175/193864716819714591.
Full textAdams, Philip D. "The extended linear expenditure system with financial assets." Economics Letters 31, no. 2 (December 1989): 179–82. http://dx.doi.org/10.1016/0165-1765(89)90195-x.
Full textKaddoura, Khalid, and Tarek Zayed. "Erosion Void Condition Prediction Models for Buried Linear Assets." Journal of Pipeline Systems Engineering and Practice 10, no. 1 (February 2019): 04018029. http://dx.doi.org/10.1061/(asce)ps.1949-1204.0000357.
Full textKarimian, Farzad, Khalid Kaddoura, Tarek Zayed, Alaa Hawari, and Osama Moselhi. "Prediction of Breaks in Municipal Drinking Water Linear Assets." Journal of Pipeline Systems Engineering and Practice 12, no. 1 (February 2021): 04020060. http://dx.doi.org/10.1061/(asce)ps.1949-1204.0000511.
Full textStenström, Christer, and Aditya Parida. "Measuring performance of linear assets considering their spatial extension." Journal of Quality in Maintenance Engineering 20, no. 3 (August 5, 2014): 276–89. http://dx.doi.org/10.1108/jqme-05-2014-0031.
Full textShahfira, Dwi, and Nanu Hasanuh. "The Influence of Company Size and Debt to Asset Ratio on Return On Assets." Moneter - Jurnal Akuntansi dan Keuangan 8, no. 1 (April 1, 2021): 9–13. http://dx.doi.org/10.31294/moneter.v8i1.8807.
Full textRighi, Marcelo Brutti, and Paulo Sergio Ceretta. "Estimating non-linear serial and cross-interdependence between financial assets." Journal of Banking & Finance 37, no. 3 (March 2013): 837–46. http://dx.doi.org/10.1016/j.jbankfin.2012.10.016.
Full textCHEN, CHING-LUNG, and CHEI-WEI WU. "DIAGNOSING ASSETS IMPAIRMENT BY USING RANDOM FORESTS MODEL." International Journal of Information Technology & Decision Making 11, no. 01 (January 2012): 77–102. http://dx.doi.org/10.1142/s0219622012500046.
Full textDissertations / Theses on the topic "Linear Assets"
Clayton, Maya. "Econometric forecasting of financial assets using non-linear smooth transition autoregressive models." Thesis, University of St Andrews, 2011. http://hdl.handle.net/10023/1898.
Full textMitrenga, Ondřej, and Hai Trieu Phan. "Linear correlation pattern between Asset Management in European Union Households and country’s Degree of Development." Thesis, Jönköping University, Internationella Handelshögskolan, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53183.
Full textLucena, Igor Macedo de. "What characteristics influence the future performance of the investment funds of shares in Brazil?" Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12523.
Full textSegundo Jensen (1968), a indÃstria de fundos mÃtuos de investimento, cuja expansÃo està prevista teoricamente pelo Teorema da SeparaÃÃo enunciado em Sharpe (1964), teria limitaÃÃes no sentido de bater o mercado em termos de performance risco-retorno mensurada pelo alfa de Jensen. Nesta ampla discussÃo, esta dissertaÃÃo se posiciona em sugerir um exercÃcio empÃrico aplicado a um cross-section contendo 243 fundos de investimentos em aÃÃes, categoria Ibovespa Ativo, o qual visa identificar que variÃveis financeiras, contÃbeis e administrativas se mostram capazes de prever no ano seguinte o sinal e a significÃncia do alfa de Jensen. Foram extraÃdos retornos diÃrios para todos os fundos nos anos de 2011 e 2012, e calculadas mÃtricas clÃssicas de retorno, risco e performance, bem como os 24 balancetes mensais e informaÃÃes administrativas do perÃodo em questÃo. Metodologicamente, as variÃveis explicativas consistem em estatÃsticas descritivas obtidas a partir de dados financeiros diÃrios e contÃbeis mensais, enquanto as performances a serem modeladas sÃo estimadas por meio do Capital Asset Pricing Model (CAPM). Dessa maneira, foi possÃvel ordenar os fundos em trÃs grupos, composto por Loosers, Draw e Winners, de acordo com suas performances em relaÃÃo ao Ãndice Ibovespa. Sendo assim, foi identificado que apenas 71 dos fundos foram capazes de performar melhor que o Ãndice Ibovespa durante o ano de 2012. Os resultados obtidos com a estimaÃÃo do arcabouÃo de Probit ordenado sugerem que fundos com maiores performances mensuradas pelos alfa de Jensen e Ãndices de Calmar e Sortino, associados a menores taxas de administraÃÃo, tendem a bater o mercado no ano seguinte. Entretanto, mÃtricas clÃssicas como desvio-padrÃo, taxa de performance e Ãndice de Sharpe (1964) nÃo se mostraram significantes. O modelo sugere, tambÃm, que a variÃvel Drawdown seja apresentada como mÃtrica eficiente de mensuraÃÃo de risco.
According to Jensen (1968), the mutual funds industry expansion is theoretically predicted by the Separation Theorem stated by Sharpe (1964), however with limitations in order to exceed the market in terms of risk-return performance measured by Jensen's alpha. In this broad discussion, this dissertation suggest an empirical exercise applied to a cross-section containing 243 stock funds, within the Ibovespa Active category, which aims to identify which financial, accounting and administrative variables are capable to predict the next year's value and the significance of the Jensen's alpha. Daily returns were extracted for all funds in 2011 and 2012, and were calculated classic metrics such as return, risk and performance. There were also extracted 24 monthly accounting balances and administrative informations for the period in question. Methodologically, the explanatory variables consist of descriptive statistics obtained from daily financial data and monthly accounting data, while the performances to be modeled are estimated using the Capital Asset Pricing Model (CAPM). Using this technic it was possible divide the funds into three groups, consisting of Loosers, Draw and Winners, according to their performances in relation to the Ibovespa index. Thus, it was discovered that only 71 funds were able to perform better than the Ibovespa Index during the year 2012. The estimation results of the ordered probit framework suggests that funds with higher performances measured by the Jensen's Alpha and with higher Sortino and Calmar ratios, associated with lower management fees tend to surpass the market in the next year. However, classical metrics like standard deviation, performance fees and Sharpe ratio (1964) were not significant. The model also suggests that the drawdown variable should be used as an efficient risk metric.
Sak, Halis, Wolfgang Hörmann, and Josef Leydold. "Efficient Risk Simulations for Linear Asset Portfolios." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2008. http://epub.wu.ac.at/1200/1/document.pdf.
Full textSeries: Research Report Series / Department of Statistics and Mathematics
Breitsch, Brian W. "Linear Combinations of GNSS Phase Observables to Improve and Assess TEC Estimation Precision." Thesis, Colorado State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10604719.
Full textOne of the principal observations derived from GNSS (Global Navigation Satellite Systems) signals is ionospheric total electron content (TEC), which is a measure of the density of free electrons (i.e. ionosphere plasma density) integrated along the signal path. TEC is typically computed using the difference of dual-frequency signals from a GNSS satellite, thereby taking advantage of the frequency dispersive effects of ionosphere plasma on microwave-band propagation. However, it is difficult to distinguish between the ionosphere and other frequency-dependent effects, such as multipath and satellite antenna phase effects. Newly available triple-frequency GNSS signals allow computation of geometry-ionosphere-free combinations (GIFC) that specifically highlight the impact of residual errors from these effects. This work aims to: 1) introduce a framework for choosing linear estimator coefficients for GNSS parameters, 2) use this system to derive triple-frequency TEC estimator and GIFC coefficients, 3) introduce and summarize typical GIFC signals from real triple-frequency GPS data, 4) highlight the various frequency-dispersive effects that pervade these signals, and 5) use statistics from GIFC signals to assess the impact of error residuals on TEC estimates made using GPS signals.
Knapp, Bettina, and Lars Kaderali. "Reconstruction of Cellular Signal Transduction Networks Using Perturbation Assays and Linear Programming." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-127239.
Full textKnapp, Bettina, and Lars Kaderali. "Reconstruction of Cellular Signal Transduction Networks Using Perturbation Assays and Linear Programming." Public Library of Science, 2013. https://tud.qucosa.de/id/qucosa%3A27289.
Full textVrillet, Guerric. "Non-linear spectroscopy of biologically active surfaces : application to DNA and immuno-assays." Thesis, Robert Gordon University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395750.
Full textBook, Emil, and Linus Ekelöf. "A Multiple Linear Regression Model To Assess The Effects of Macroeconomic Factors On Small and Medium-Sized Enterprises." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254298.
Full textSmå- och medelstora företag (SMEs) har länge varit ansedda som en av de viktigaste komponenterna i ett lands ekonomi, främst för deras bidrag till tillväxt och framgång. Det är därför mycket viktigt att regeringar och lagstiftare för en politik som främjar SMEs optimala tillväxt. Flera år av högkonjunktur och oro över kommande lågkonjunktur har gjort detta ämne ytterst relevant då små företag är de som kommer att drabbas värst av en svårare ekonomisk tillvaro. Denna rapport använder multipel linjär regression för att utvärdera effekterna av olika makroekonomiska faktorer på SMEs i Sverige. Data har insamlats månadsvis för en 10 årsperiod mellan 2009 till 2010. Resultatet blev en modell med fem variabler och en förklaringsgrad på 98%.
Santella, Giuseppe. "Valorizzazione energetica di una linea di decompressione gas in assetto cogenerativo." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.
Find full textBooks on the topic "Linear Assets"
R, Salkin G., ed. The management of corporate financial assets: Applications of mathematical programming models. London: Academic Press, 1987.
Find full textHeston, Steven L. Testing approximate linear asset pricing models. New Haven, CT: Yale University, School ofOrganization and Management, 1992.
Find full textMarohn, Christina A. Stochastische mehrstufige lineare Programmierung im Asset- & -Liability-Management. Bern: P. Haupt, 1998.
Find full textMichaeloudis, Androulla. Studies in the application of the linear structural relation to method comparison studies of biochemical assays. London: North East London Polytechnic, 1986.
Find full textDavid, Carlson, ed. Linear algebra gems: Assets for undergraduate mathematics. [Washington, DC]: Mathematical Association of America, 2002.
Find full textLinear Algebra Gems: Assets for Undergraduate Mathematics (Notes Series, Volume 59). Mathematical Assn of America, 2002.
Find full textBack, Kerry E. Dynamic Asset Pricing. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0010.
Full textAhmad, Nazihah, Hawa Ibrahim, and Maznah Mat Kasim. Matrices and linear systems. UUM Press, 2018. http://dx.doi.org/10.32890/9789672064794.
Full text1945-, Salomons W., and Stigliani William M, eds. Biogeodynamics of pollutants in soils and sediments: Risk asses[s]ment of delayed and non-linear responses. Berlin: Springer-Verlag, 1995.
Find full textMichaeloudis, Androulla. Studies in the application of the linear structural relation to method comparison studiesof biochemical assays. NELP, 1986.
Find full textBook chapters on the topic "Linear Assets"
Sun, Yong, Lin Ma, Warwick Robinson, Michael Purser, Avin Mathew, and Colin Fidge. "Renewal Decision Support for Linear Assets." In Engineering Asset Management and Infrastructure Sustainability, 885–99. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_68.
Full textSun, Y., C. Fidge, and L. Ma. "Optimizing Preventive Maintenance Strategies for Linear Assets." In Lecture Notes in Mechanical Engineering, 91–102. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4993-4_9.
Full textWang, Taiji, Weiyi Liu, and Zhuyu Li. "Fuzzy Double Linear Regression of the Financial Assets Yield." In Communications in Computer and Information Science, 59–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02298-2_9.
Full textVilar-Zanón, José Luis, and Olivia Peraita-Ezcurra. "Pricing Illiquid Assets by Entropy Maximization Through Linear Goal Programming." In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 513–18. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89824-7_91.
Full textPrevezianou, Maria F. "WannaCry as a Creeping Crisis." In Understanding the Creeping Crisis, 37–50. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70692-0_3.
Full textMadankumar, Sakthivel. "A Classification Algorithm Based on Linear Regression and Linear Programming for Predicting the Breast Cancer." In Asset Analytics, 139–57. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2774-3_7.
Full textCastagnoli, Erio, and Marco Li Calzi. "Linear Gears for Asset Pricing." In Contributions to Management Science, 33–44. Heidelberg: Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-95900-4_4.
Full textMcGregor, John D. "The Many Paths to Quality Core Assets." In Software Product Lines: Going Beyond, 502. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15579-6_50.
Full textAhuja, Anjali, and Anamika Jain. "Study of FM/FM(FM)/1/L Queue with Server Startup Under Threshold N-Policy Using Parametric Non-linear Programming Method." In Asset Analytics, 51–79. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3643-4_5.
Full textWilhelm, Jochen E. M. "The Linear Structure of Capital Asset Pricing Models." In Lecture Notes in Economics and Mathematical Systems, 3–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-50094-7_2.
Full textConference papers on the topic "Linear Assets"
Shelton, Rebecca, and Steven Sheets. "Tactical Asset Management Plans for Linear Assets." In Pipelines 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413692.144.
Full textMaletič, Damjan, Viktor Lovrenčič, Nenad Gubenjak, Yury Tsimberg, Nuno Marques de Almeida, Ana Lovrenčič, and Matjaž Maletič. "Linear Asset Management: a Case Study of Overhead Transmission Lines." In Values, Competencies and Changes in Organizations. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-442-2.40.
Full textSun, Yong, Colin Fidge, and Lin Ma. "Reliability prediction of long-lived linear assets with incomplete failure data." In 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE). IEEE, 2011. http://dx.doi.org/10.1109/icqr2mse.2011.5976585.
Full textTang, Zao, Junyong Liu, Yafei Yang, Lei Wu, Youbo Liu, and Jichun Liu. "Tight Mixed-Integer Linear Programming Formulation for Energy Storage Assets in NCUC Problem." In 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973699.
Full textWang Zhihao, Wang Wei, and Gu Zhengbing. "Multi-linear regression model of Fixed Assets Investment in Heilongjiang Province in China." In 2010 Chinese Control and Decision Conference (CCDC). IEEE, 2010. http://dx.doi.org/10.1109/ccdc.2010.5498699.
Full textDeng, Xue, Rongjun Li, Xue Deng, and Yanchun Wan. "Linear Efficacy Method for a Portfolio Selection with Bounded Assets Based on Possibility Theory." In 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology. IEEE, 2009. http://dx.doi.org/10.1109/iccit.2009.183.
Full textBian, Steve, and Brian McDermott. "DC Water at Work: Optimal Risk Management of Construction Close to Buried Linear Assets." In Pipelines 2019. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482490.048.
Full textVanrenterghem, A., and P. Kraft. "Using Big Data and Cutting Edge Tools to Optimize the Sustainability of Linear Buried Water Assets." In International Conference on Sustainable Infrastructure 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784481219.036.
Full textKaragiannis, Georgios, Stamatios Amanatiadis, and Evdoxios Mimis. "Accurate motion plan of ultrasonic linear array transducer for non-destructive 3D endoscopy of iconic cultural heritage assets." In 2019 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2019. http://dx.doi.org/10.1109/ist48021.2019.9010447.
Full textSwan, Mark, and Rick Ranalli. "Corrosion Control Strategies to Protect Linear Assets: Dundas Street Sanitary Sewer and Forcemain Project, Oakville in the Region of Halton, Ontario, Canada." In Pipelines 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413692.018.
Full textReports on the topic "Linear Assets"
Bergey, John, Liam O'Brien, and Dennise Smith. Mining Existing Assets for Software Product Lines. Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada378147.
Full textMcGregor, John D. The Evolution of Product Line Assets. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada418409.
Full textO'Brien, Liam, and Dennis Smith. MAP and OAR Methods: Techniques for Developing Core Assets for Software Product Lines from Existing Assets. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada403805.
Full textHansen, Lars Peter, and Kenneth Singleton. Efficient Estimation of Linear Asset Pricing Models with Moving-Average Errors. Cambridge, MA: National Bureau of Economic Research, March 1997. http://dx.doi.org/10.3386/t0086.
Full textRiveros, Guillermo, Felipe Acosta, Reena Patel, and Wayne Hodo. Computational mechanics of the paddlefish rostrum. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41860.
Full textDownard, Alicia, Stephen Semmens, and Bryant Robbins. Automated characterization of ridge-swale patterns along the Mississippi River. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40439.
Full textOberle, William F. Autonomous Identification of Vertical Lines in Video Images to Assist in UGV Cover and Concealment. Fort Belvoir, VA: Defense Technical Information Center, November 2004. http://dx.doi.org/10.21236/ada428169.
Full textOlson, N. J., and T. E. Meier. Meier associates and Pacific Northwest Laboratory staff exchange: Transfer of corrosion monitoring expertise to assess and develop in-line inspection tools for corrosion control. Office of Scientific and Technical Information (OSTI), April 1995. http://dx.doi.org/10.2172/69129.
Full textZamenian, Hamed, and Dulcy M. Abraham. Installation and Maintenance of Raised Pavement Markers at State Transportation Agencies: Synthesis of Current Practices. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317135.
Full textPaternesi Meloni, Walter, Davide Romaniello, and Antonella Stirati. On the Non-Inflationary effects of Long-Term Unemployment Reductions. Institute for New Economic Thinking Working Paper Series, April 2021. http://dx.doi.org/10.36687/inetwp156.
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