Academic literature on the topic 'Investment analysis – Mathematical models'

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Journal articles on the topic "Investment analysis – Mathematical models"

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Kekytė, Ieva, and Viktorija Stasytytė. "Comparative Analysis of Investment Decision Models." Mokslas - Lietuvos ateitis 9, no. 2 (June 2, 2017): 197–208. http://dx.doi.org/10.3846/mla.2017.1023.

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Rapid development of financial markets resulted new challenges for both investors and investment issues. This increased demand for innovative, modern investment and portfolio management decisions adequate for market conditions. Financial market receives special attention, creating new models, includes financial risk management and investment decision support systems.Researchers recognize the need to deal with financial problems using models consistent with the reality and based on sophisticated quantitative analysis technique. Thus, role mathematical modeling in finance becomes important. This
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Hasanov, Niyazi, Tokhtaposha Akbulaeva, Kamal Ahmadov, and Akram Hasanzadeh. "Application of Management Based on Mathematical Models to Solve Investment Strategy Problems." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 19 (May 6, 2022): 1130–39. http://dx.doi.org/10.37394/23207.2022.19.99.

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This article analyzes the emergence of large investment opportunities for the development of different areas of the economy in the context of political and economic changes in a competitive environment of the market economy and its relevance shows itself in the underdevelopment of risk analysis and its experimental methodology with the need to improve quality of investment activity, as well as project decision making, the contradictions between the possibility and impossibility of achieving the planned outcome and application of management based on mathematical models to solve investment strat
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B. B. Akhmetov, V. A. Lakhno, A. B. Adranova, L. M. Kydyralina, and L. D. Pliska. "ANALYSIS OF MATHEMATICAL MODELS OF INVESTMENT STRATEGIES IN THE UNIVERSITY ON CYBER SECURITY SYSTEMS." BULLETIN 1, no. 383 (February 15, 2020): 128–39. http://dx.doi.org/10.32014/2020.2518-1467.16.

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The article provides an overview and analysis of mathematical models for choosing investment strategies in cybersecurity systems of informatization objects (IO) as a particular example of educational information systems (IS). The purpose of the work is the analysis and comparison of known and new investment models for the IO protection. It is shown that previous researches have often purely economic nature and do not take into account the trends relating to the introduction of innovative information technologies in the control and decision-making procedures of the IO cybersecurity tasks. It is
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Yarygina, I. Z., V. B. Gisin, and B. A. Putko. "Fractal Asset Pricing Models for Financial Risk Management." Finance: Theory and Practice 23, no. 6 (December 24, 2019): 117–30. http://dx.doi.org/10.26794/2587-5671-2019-23-6-117-130.

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The article presents the analysis findings of the problems and prospects of using the fractal markets theory to mathematically predict the price dynamics of assets as part of a financial risk management strategy. The aim of the article is to find out the features of value of bank assets and to develop recommendations for assessing financial risks based on mathematical methods for forecasting economic processes. Theoretical and empirical research methods were used to achieve the aim. The article reveals the features of mathematical modeling of economic processes related to asset pricing in a vo
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Csesznik, Zoltán, Sándor Gáspár, Gergő Thalmeiner, and Zoltán Zéman. "Examining the effectiveness of fundamental analysis in a long-term stock portfolio." Economic Annals-ХХI 190, no. 5-6(2) (July 10, 2021): 119–27. http://dx.doi.org/10.21003/ea.v190-11.

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Over the past decade, a number of modern and sophisticated methods have been developed to optimize the composition of equity portfolios. Most of these methods are based on complex mathematical or financial modelling. Less emphasis has been placed on companies’ internal data, while in recent years external data have become increasingly important. However, for long-term investments, the dominance of external data is not necessarily an efficient way to construct an appropriate portfolio. In this paper, we highlight the phenomenon that complex mathematical models, the based on simpler fundamental
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Ertek, Gurdal, Aysha Al-Kaabi, and Aktham Issa Maghyereh. "Analytical Modeling and Empirical Analysis of Binary Options Strategies." Future Internet 14, no. 7 (July 6, 2022): 208. http://dx.doi.org/10.3390/fi14070208.

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This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivative. The investor receives only partial returns if the prediction is correct but loses all the investment otherwise. Mainstream research on binary options aims to develop the best dynamic trading strategies. This study focuses on static tactical easy-to-implement strategies and investigates the performance of such strategies in relation to pred
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Ustinovichius, Leonas. "DETERMINATION OF EFFICIENCY OF INVESTMENTS IN CONSTRUCTION." International Journal of Strategic Property Management 8, no. 1 (March 31, 2004): 25–43. http://dx.doi.org/10.3846/1648715x.2004.9637505.

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Decision making is associated with ranking problems aimed to obtain a set of preference order of solutions. People can make mistakes choosing the best object for investments. Due to high cost of such mistakes, such a choice should be well founded. A major goal of paper is to develop a theoretical basis for creating a decision support system aimed to increase building construction and reconstruction investment efficiency by applying multiattribute decision making approaches and mathematical modelling. To achieve the goal, the following problems have to be solved: to analyse new models currently
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Maslyuk, Iryna, and Hanna Maslyuk. "MODERNIZATION OF THE STAGES OF ECONOMIC AND MATHEMATICAL MODELING OF THE DEVELOPMENT OF COMPONENT INVESTMENT POTENTIAL OF AGRICULTURAL PRODUCTION OF UKRAINE." Scientific bulletin of Polissia, no. 2(23) (2021): 6–15. http://dx.doi.org/10.25140/2410-9576-2021-2(23)-6-15.

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Abstract. The article analyzes the conceptual foundations for modeling the development of the components of the investment potential of agricultural production, which make it possible to comprehensively evaluate the relevant indicators in order to timely determine, for agricultural entities, priority investment-attractive innovative projects for the future development of the production sphere.It also reflects the development of forecasting models among the mathematical and economic apparatus, which are based on the determination of the stochastic relationship between indicators of trend and cl
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Alhabeeb, M. J. "Comparative Analysis of the Traditional Models for Capital Budgeting." International Journal of Marketing Studies 8, no. 6 (November 11, 2016): 16. http://dx.doi.org/10.5539/ijms.v8n6p16.

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<p>Financial decision making for investing firms requires metric tools for comparison and analysis. The managerial choice among many investment alternatives with complex possibilities has made it easier to rely on the now more advanced computer programs of simulation that considers the uncertainty and stochastic changes in the cash flow and risk levels. The major drawback here, especially in the academic world, is the increasing dependency on software and departing from the underlying mathematical reasoning that is most practically fathomed by the manual problem solving. This paper goes
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Zotov, Vladimir Mikhailovich. "Investment planning of innovative activity." LAPLAGE EM REVISTA 7, no. 3D (October 13, 2021): 302–7. http://dx.doi.org/10.24115/s2446-6220202173d1721p.302-307.

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The purpose of the study in this case is to develop methods for modeling processes aimed at ensuring investment planning of innovative activities of the enterprise. The methodological basis of the research is the adaptation of technological networks to the methods of financial and resource planning. In parallel, the corresponding mathematical apparatus was developed. It became clear that the activities of the company's department dealing with innovation management have to base on the principles of project management. The research based on the analysis of the process aimed at creating or acquir
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Dissertations / Theses on the topic "Investment analysis – Mathematical models"

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Ipperciel, David. "The performance of some new technical signals for investment timing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0028/NQ50190.pdf.

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Yuksel, Hasan Zafer. "Performance measures: Traditional versus new models." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3086.

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The thesis analyzed the performance of 5,987 mutual funds using a database called Steele Mutual Fund Experts and compared the predicting ability of various measures of performance. The measures discussed in the thesis are Treynor Ratio, Sharpe Ratio, Jensen's Alpha, Graham-Harvey-1 (GH-1), and Graham-Harvey-2 (GH-2). The performance measures are mostly used by professional money managers and scholars for literary purposes.
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Sohn, SugJe. "Modeling and Analysis of Production and Capacity Planning Considering Profits, Throughputs, Cycle Times, and Investment." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5083.

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This research focuses on large-scale manufacturing systems having a number of stations with multiple tools and product types with different and deterministic processing steps. The objective is to determine the production quantities of multiple products and the tool requirements of each station that maximizes net profit while satisfying strategic constraints such as cycle times, required throughputs, and investment. The formulation of the problem, named OptiProfit, is a mixed-integer nonlinear programming (MINLP) with the stochastic issues addressed by mean-value analysis (MVA) and queuing netw
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Dharmawan, Komang School of Mathematics UNSW. "Superreplication method for multi-asset barrier options." Awarded by:University of New South Wales. School of Mathematics, 2005. http://handle.unsw.edu.au/1959.4/30169.

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The aim of this thesis is to study multi-asset barrier options, where the volatilities of the stocks are assumed to define a matrix-valued bounded stochastic process. The bounds on volatilities may represent, for instance, the extreme values of the volatilities of traded options. As the volatilities are not known exactly, the value of the option can not be determined. Nevertheless, it is possible to calculate extreme values. We show that these values correspond to the best and the worst case scenarios of the future volatilities for short positions and long positions in the portfolio of the op
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Soucik, Victor. "Finding the true performance of Australian managed funds." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2002. https://ro.ecu.edu.au/theses/730.

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When making conclusions about the performance of managed funds, it is critical that the framework in which such performance is measured provides an accurate and unbiased environment. In this thesis I search for true performance of the two major classes of funds- equity as well as fixed interest managed funds. Focusing, first on the former class, I examine five measurement models across three risk-free proxies, nine benchmarks proposed by the extant literature (covering conditional and unconditional as well as single and multi factor definitions) and over three independent periods in an effort
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Chan, Yin-ting, and 陳燕婷. "Topics on actuarial applications of non-linear time series models." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32002099.

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Chen, Hongqing. "An Empirical Study on the Jump-diffusion Two-beta Asset Pricing Model." PDXScholar, 1996. https://pdxscholar.library.pdx.edu/open_access_etds/1325.

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This dissertation focuses on testing and exploring the usage of the jump-diffusion two-beta asset pricing model. Daily and monthly security returns from both NYSE and AMEX are employed to form various samples for the empirical study. The maximum likelihood estimation is employed to estimate parameters of the jump-diffusion processes. A thorough study on the existence of jump-diffusion processes is carried out with the likelihood ratio test. The probability of existence of the jump process is introduced as an indicator of "switching" between the diffusion process and the jump process. This new
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Niklewski, Jacek. "Multivariate GARCH and portfolio optimisation : a comparative study of the impact of applying alternative covariance methodologies." Thesis, Coventry University, 2014. http://curve.coventry.ac.uk/open/items/a8d7bf49-198d-49f2-9894-12e22ce2d7f1/1.

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This thesis investigates the impact of applying different covariance modelling techniques on the efficiency of asset portfolio performance. The scope of this thesis is limited to the exploration of theoretical aspects of portfolio optimisation rather than developing a useful tool for portfolio managers. Future work may entail taking the results from this work further and producing a more practical tool from a fund management perspective. The contributions made by this thesis to the knowledge of the subject are that it extends literature by applying a number of different covariance models to a
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Zhou, Zilin, and 周紫麟. "Properties of analysts' earnings forecasts: the case of Hong Kong litsted local and Chinese companies." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45597467.

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Taniai, Hiroyuki. "Inference for the quantiles of ARCH processes." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210305.

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Ce travail se compose de trois parties consacrées à différents aspects des modèles ARCH (AutoRegressive Conditionally Heteroskedastic) quantiles. Dans ces modèles, l’hétéroscédasticité conditionnelle est à prendre dans un sens très large, et affecte de fa¸ con potentiellement différenciée tous les quantiles conditionnels (et donc la loi conditionnelle elle-même), et non seulement, comme dans les modèles ARCH classiques, l’échelle conditionnelle.<p><p>La première partie étudie les problèmes de Value-at-Risk (VaR) dans les séries financières ainsi modélisées. Les approches traditionnelles présen
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Books on the topic "Investment analysis – Mathematical models"

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Armand, DeFusco Richard, ed. Quantitative investment analysis workbook. 2nd ed. Hoboken, N.J: Wiley, 2007.

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McLeavey, Dennis W., Richard A. DeFusco, Jerald E. Pinto, and David E. Runkle. Quantitative Investment Analysis, Workbook (CFA Institute Investment Series). New York, USA: Wiley, 2007.

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Quantitative analysis for investment management. Upper Saddle River, NJ: Prentice Hall, 1996.

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Young, Rhonda. Multimodal investment choice analysis. [Olympia, Wash.]: Washington State Dept. of Transportation, 2002.

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Danø, Sven. Kapitler om investeringsplanlægning. København: Københavns universitets Økonomiske institut, 1985.

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Minh, Nguyẽ̂n Hò̂ng. Phân tích hiệu quả đà̂u tư. Hà Nội: Nông nghiệp, 1993.

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Yanyang, Yan, ed. Xian dai tou zi xue: Zu he tou zi fen xi yu guan li. Changsha: Hunan ren min chu ban she, 2003.

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Investment science. New York: Oxford University Press, 1998.

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Zamojska, Anna. Efektywność funduszy inwestycyjnych w Polsce: Studium teoretyczno-empiryczne. Warszawa: Wydawnictwo C.H. Beck, 2012.

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J, Fabozzi Frank, ed. The mathematics of financial modeling and investment management. New Jersey: Wiley, 2004.

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Book chapters on the topic "Investment analysis – Mathematical models"

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Bartnik, Ryszard, Zbigniew Buryn, and Anna Hnydiuk-Stefan. "Continuous Time Methodology and Mathematical Models for the Analysis of the Market Value of Thermal Plant and Heat and Power Plant and the Value of the Market Supplied by Them." In Investment Strategy in Heating and CHP, 55–90. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61024-5_4.

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Bartnik, Ryszard, Zbigniew Buryn, and Anna Hnydiuk-Stefan. "Continuous Time Methodology and Mathematical Model for Analysis of Technical and Economic Effectiveness of Modernizing a Thermal Plant and Combined Heat and Power Plant." In Investment Strategy in Heating and CHP, 33–53. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61024-5_3.

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Fleming, Wendell H. "Optimal Investment Models and Risk Sensitive Stochastic Control." In Mathematical Finance, 75–88. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2435-6_6.

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Frauenthal, James C. "Analysis of Age-Structure Models." In Mathematical Ecology, 117–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-69888-0_6.

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Teghem, J., and P. L. Kunsch. "An Interactive Dss for Multiobjective Investment Planning." In Mathematical Models for Decision Support, 123–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83555-1_6.

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Arkin, Vadim I., and Alexander D. Slastnikov. "Optimal Stopping Problem and Investment Models." In Lecture Notes in Economics and Mathematical Systems, 83–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-55884-9_5.

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Mutanov, Galimkair. "Mathematical Methods for Making Investment Decisions." In Mathematical Methods and Models in Economic Planning, Management and Budgeting, 195–263. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45142-7_6.

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Efendiev, Messoud. "Mathematical Analysis of Vitro Models." In Mathematical Modeling of Mitochondrial Swelling, 55–145. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99100-9_4.

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Agami Reddy, T. "Mathematical Models and Data Analysis." In Applied Data Analysis and Modeling for Energy Engineers and Scientists, 1–25. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9613-8_1.

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Guerard, John B. "Regression Analysis and Forecasting Models." In Introduction to Financial Forecasting in Investment Analysis, 19–45. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5239-3_2.

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Conference papers on the topic "Investment analysis – Mathematical models"

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Chernyatieva, R. R. "Analysis of financial effectiveness of economic-mathematical model of investment projects." In International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017. Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ttiess-17.2017.20.

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Varsakelis, Christos, Moritz von Stosch, Sandrine Dessoy, and Alexander Pysik. "A mathematical model of decision making for investment in process modeling & simulation." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026684.

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Malafeyev, Oleg, Anna Romanova, Irina Zaitseva, Anzhelika Baicherova, and Natalya Telnova. "Adaptive mathematical model of investment project of a microfinance company under conditions of incomplete information." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026774.

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Marchev, Jr., Angel, and Angel Marchev. "Computer simulation environment for comparative analysis of models for investment portfolio management." In 39TH INTERNATIONAL CONFERENCE APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS AMEE13. AIP, 2013. http://dx.doi.org/10.1063/1.4854797.

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PODEŠVA, Lukáš, Miloš KOCH, and Jan LUHAN. "INVESTMENT MODELS FOR CYBERSECURITY AND INFORMATION SECURITY OF BUSINESSES – SYSTEMATIC LITERATURE REVIEW." In International Management Conference. Editura ASE, 2022. http://dx.doi.org/10.24818/imc/2021/01.03.

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Science has always been here to respond to present-day problems, to improve people’s lives and push borders of human capabilities. The focus of this paper contributes to the issue of cybersecurity and information security of businesses that has been becoming ever more topical with the development of online technologies. This article analyses current scientific literature that deals with investment models for cybersecurity and information security. Within this systematic literature review, the found models were assessed mostly in terms of the used economic and mathematical methods, and scientif
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Медведева, Анастасия, Anastasiya Medvedeva, Анастасия Рыжкова, and Anastasia Ryzhkova. "Econometric analysis of the efficiency of investments in the main capital of the southern federal district." In Mathematics in Economics. AUS PUBLISHERS, 2018. http://dx.doi.org/10.26526/conferencearticle_5c24b1d0845065.42036660.

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The article discusses the phased construction of a regression model for the main sources of financing investments in fixed capital of the Southern Federal District. The authors have compiled an assessment of the significance of the regression model obtained and also analyzed the results in terms of investment returns and effectiveness within the framework of the regional testing
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Tovares, Noah, Jonathan Cagan, and Peter Boatwright. "Capturing Consumer Preference Through Experiential Conjoint Analysis." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12549.

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Traditionally, consumer preference is modeled in terms of preference for the aesthetic and functional features of a product. This paper introduces a new means to model consumer preference that allows for the experience of and interaction with a product to account for not only for how a product looks and functions, but also how it feels to use it. Traditional conjoint-based approaches to preference modeling require a user to judge preference for a product based upon a 2D product representation or a feature list. While the aesthetic forms and functional features of a product are certainty import
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Frolova, Irina Igorevna, Dmitry Olegovich Tailakov, Nikita Konstantinovich Kayurov, Stanislav Anatolyevich Frolov, Denis Nikolaevich Tokarev, Rustam Zakirzhanovich Kurmangaliev, and Vladimir Nikolaevich Ulyanov. "Digital Platform for E&P Assets Business Process Optimization with a Module for Estimation and Optimizing of Portfolio of Investment Projects for Oil and Gas Production. Case Study." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208155-ms.

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Abstract Due to increase in cost and complexity of oil and gas production processes it becomes necessary to develop a platform for automated analysis of the main business processes of oil and gas assets for the automatic formation of investment projects portfolios for oil and gas production, taking into account the variability of technical and infrastructural characteristics, the mutual influence of objects and profitability indicators. The paper presents a description of platform prototype designed to form an optimized portfolio of investment projects for oil and gas production. The platform
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Choroev, Kalybek. "Analysis and Modeling of Uneven Economic Growth of the Regions of the Kyrgyz Republic in the New Conditions." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02256.

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During the years of independence, the unevenness (asymmetry) of the economic development of the regions of the Kyrgyz Republic sharply increased, the multiple gap between the regions increased according to the most important indicators of regional production, income level and poverty, the quality of life of the population. Regions of the country vary significantly in size, population size and density, level of economic development, natural and climatic conditions, national and historical features. All this causes significant differences in the needs of budget financing and tax bases of individ
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Petrović, Branislav, Milan Gojak, and Đorđe Kozić. "Numerical Analysis of the Influence of Basic Operating Parameters on the Performance Characteristics of Solar-Driven Ejector Cooling." In 51st International HVAC&R Congress and Exhibition. SMEITS, 2020. http://dx.doi.org/10.24094/kghk.020.51.1.129.

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Researchers are becoming growingly interested in the development of solar-driven ejector cooling systems, primarily due to their potential to be used as renewable energy sources. Absorption and adsorption refrigeration systems not only involve considerable investment but are also much less reliable than the ejector refrigeration sys-tems, which do not contain any movable parts. In adition, ejector refrigeration has the advantage of low capital cost, simple design, reliable operation, long lifespan and almost no maintance. The only weakness of this system is the low efficiency and its intoleran
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Reports on the topic "Investment analysis – Mathematical models"

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Shabelnyk, Tetiana V., Serhii V. Krivenko, Nataliia Yu Rotanova, Oksana F. Diachenko, Iryna B. Tymofieieva, and Arnold E. Kiv. Integration of chatbots into the system of professional training of Masters. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4439.

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The article presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of implementing the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information
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Rector, D. R., C. L. Wheeler, and N. J. Lombardo. COBRA-SFS (Spent Fuel Storage): A thermal-hydraulic analysis computer code: Volume 1, Mathematical models and solution method. Office of Scientific and Technical Information (OSTI), November 1986. http://dx.doi.org/10.2172/6912964.

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Markova, Oksana M., Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska, Pavlo P. Nechypurenko, and Vitaliy V. Tron. Implementation of cloud service models in training of future information technology specialists. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3270.

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Leading research directions are defined on the basis of self-analysis of the study results on the use of cloud technologies in training by employees of joint research laboratory “Сloud technologies in education” of Kryvyi Rih National University and Institute of Information Technology and Learning Aids of the NAES of Ukraine in 2009-2018: cloud learning technologies, cloud technologies of blended learning, cloud-oriented learning environments, cloud-oriented methodological systems of training, the provision of cloud-based educational services. The ways of implementation SaaS, PaaS, IaaS cloud
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Lovianova, Iryna V., Dmytro Ye Bobyliev, and Aleksandr D. Uchitel. Cloud calculations within the optional course Optimization Problems for 10th-11th graders. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3267.

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The article deals with the problem of introducing cloud calculations into 10th-11th graders’ training to solve optimization problems in the context of the STEM-education concept. After analyzing existing programmes of optional courses on optimization problems, the programme of the optional course Optimization Problems has been developed and substantiated implying solution of problems by the cloud environment CoCalc. It is a routine calculating operation and not a mathematical model that is accentuated in the programme. It allows considering more problems which are close to reality without adap
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Klymenko, Mykola V., and Andrii M. Striuk. Development of software and hardware complex of GPS-tracking. CEUR Workshop Proceedings, March 2021. http://dx.doi.org/10.31812/123456789/4430.

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The paper considers the typical technical features of GPS-tracking systems and their development, as well as an analysis of existing solutions to the problem. Mathematical models for the operation of hardware and software of this complex have been created. An adaptive user interface has been developed that allows you to use this complex from a smartphone or personal computer. Methods for displaying the distance traveled by a moving object on an electronic map have been developed. Atmega162-16PU microcontroller software for GSM module and GPS receiver control has been developed. A method of dat
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Clausen, Jay, Christopher Felt, Michael Musty, Vuong Truong, Susan Frankenstein, Anna Wagner, Rosa Affleck, Steven Peckham, and Christopher Williams. Modernizing environmental signature physics for target detection—Phase 3. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43442.

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The present effort (Phase 3) builds on our previously published prior efforts (Phases 1 and 2), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried object detection. Environmental phenomenological effects are often represented in weather forecasts in a relatively coarse, hourly resolution, which introduces concerns such as exclusion or misrepresentation of ephemera or lags in timing when using this data as an input for the Army’s Tactical Assault Kit software system. Additionally, the direct application of observed temperat
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Tanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, October 2015. http://dx.doi.org/10.32747/2015.7594402.bard.

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Original objectives and revisions The original objectives as stated in the approved proposal were: (1) To establish guidelines for the use of micrometeorological techniques as accurate, reliable and low-cost tools for continuous monitoring of whole canopy ET of common crops grown in large agricultural structures. (2) To adapt existing methods for protected cultivation environments. (3) To combine previously derived theoretical models of air flow and scalar fluxes in large agricultural structures (an outcome of our previous BARD project) with ET data derived from application of turbulent transp
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Tucker-Blackmon, Angelicque. Engagement in Engineering Pathways “E-PATH” An Initiative to Retain Non-Traditional Students in Engineering Year Three Summative External Evaluation Report. Innovative Learning Center, LLC, July 2020. http://dx.doi.org/10.52012/tyob9090.

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The summative external evaluation report described the program's impact on faculty and students participating in recitation sessions and active teaching professional development sessions over two years. Student persistence and retention in engineering courses continue to be a challenge in undergraduate education, especially for students underrepresented in engineering disciplines. The program's goal was to use peer-facilitated instruction in core engineering courses known to have high attrition rates to retain underrepresented students, especially women, in engineering to diversify and broaden
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concep
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de Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.

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Heavy minerals (HMs) are minerals with a specific gravity greater than 2.9 g/cm3. They are commonly highly resistant to physical and chemical weathering, and therefore persist in sediments as lasting indicators of the (former) presence of the rocks they formed in. The presence/absence of certain HMs, their associations with other HMs, their concentration levels, and the geochemical patterns they form in maps or 3D models can be indicative of geological processes that contributed to their formation. Furthermore trace element and isotopic analyses of HMs have been used to vector to mineralisatio
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