Relevant bibliographies by topics / Forecasting of the market of advertising market

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Forecasting of the market of advertising market'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Forecasting of the market of advertising market"

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Yan, Ruiliang, and Kai Yu Wang. "Market forecasting information and firm pricing-advertising strategies." International Journal of Information and Decision Sciences 1, no. 4 (2009): 382. http://dx.doi.org/10.1504/ijids.2009.027758.

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Bessarabova, Anna A., and Aleksey I. Granovsky. "FORECASTING MODEL OF ADVERTISING SERVICES MARKET DEVELOPMENT BASED ON DEDUCTIVE LOGICAL INFERENCE." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 10/1, no. 151 (2024): 49–59. http://dx.doi.org/10.36871/ek.up.p.r.2024.10.01.006.

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The article improves the forecasting model of advertising services market development based on the theory of fuzzy sets, a distinctive feature of which is the ability to obtain a deductive logical conclusion about its state. This approach allows us to determine the weighting ratio of different factors (using fuzzy sets) that affect the efficiency of advertising market development.
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Romanova, Lidia, and Valentina Zolotarova. "Current situation and trends of enterprise developments in Ukraine’s advertising market." Problems of Innovation and Investment Development, no. 21 (December 27, 2019): 135–49. http://dx.doi.org/10.33813//2224-1213.21.2019.14.

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The purpose of the article is to analyze and evaluate the current state of the domestic market of advertising services, tendencies of development of enterprises of the advertising sphere of Ukraine. Methodology. The domestic market for advertising services is quite young because it has actually started its active history since Ukraine gained independence, which has caused some peculiarities of its development and formation. As a result, the development of the market and its representatives has been undulating, yet at a rather dynamic pace compared to the advertising markets of other countries
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Romanova, Lidia, and Valentina Zolotarova. "Current situation and trends of enterprise developments in Ukraine’s advertising market." Problems of Innovation and Investment Development, no. 21 (December 27, 2019): 135–49. http://dx.doi.org/10.33813/2224-1213.21.2019.14.

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The purpose of the article is to analyze and evaluate the current state of the domestic market of advertising services, tendencies of development of enterprises of the advertising sphere of Ukraine. Methodology. The domestic market for advertising services is quite young because it has actually started its active history since Ukraine gained independence, which has caused some peculiarities of its development and formation. As a result, the development of the market and its representatives has been undulating, yet at a rather dynamic pace compared to the advertising markets of other countries
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Wen, Jianan. "Market Forecasting Model Based on Artificial Intelligence and Its Application in Marketing Decision-Making." SHS Web of Conferences 213 (2025): 01020. https://doi.org/10.1051/shsconf/202521301020.

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With the rapid development of artificial intelligence technology, its application in market forecasting and marketing decision-making has gradually become an important means for enterprises to achieve competitive advantage. Market forecasting models extract valuable information from massive amounts of data through machine learning and deep learning algorithms, providing enterprises with more scientific market insights and decision support. This article systematically elaborates on the core principles of market forecasting models based on artificial intelligence, including key processes such as
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Laskin, M. B., and P. A. Cherkesova. "Market and cadastral data comparison for the real estate market value forecasting." Statistics and Economics 17, no. 4 (2020): 44–54. http://dx.doi.org/10.21686/2500-3925-2020-4-44-54.

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The aim of the research is to develop theoretical and methodological approaches to market value forecasting in the real estate market. The relevance of the research is determined by the system-forming place that the real estate market occupies in the economy of the country and regions, affecting the interests of owners of various forms of ownership, construction and development companies, insurance companies, banks. Another aspect that determines the actuality of the study is the discrepancy between well-structured cadastral databases and market data dispersed between different owners of infor
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Kim, M. N. "Advertising Campaign as Multi-Stage Process." Administrative Consulting, no. 1 (June 7, 2019): 79–87. https://doi.org/10.22394/1726-1139-2019-1-79-87.

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Modern advertising market must not to have a spontaneous self-regulation on the part of the participants, because this leads to inconsistency of their actions. Therefore, in the first place, when we organization of the advertising campaign, the clear plan is put forward. This planning involves the development of objectives, and the ways to achieve them, also the choice of means of advertising, and planning of each stages of an advertising campaign, finally, forecasting results. This makes it possible, on the one hand, to streamline the entire advertising process, and on the other — to or
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Sedov, Roman. "Data metrics in modern digital marketing." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 6, no. 1 (2025): 21–30. https://doi.org/10.52957/2782-1927-2025-6-1-21-30.

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The article defines the stages of digital marketing and highlights modern metrics for choosing data analysis tools. Currently, mobile Internet accounts for 80% of the total Internet traffic in the Russian Federation. The research emphasises the components of effective media planning, including return on investments, target audience, increasing brand awareness, and costs optimising. According to the statistics, there are different approaches to increasing sales of new trademarks (brands) via the mobile Internet. The research considers the issues of calculating the market share of a trading comp
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Shapoval, D., and I. Bogach. "DEVELOPMENT OF A SUBPROGRAM FOR ANALYZING PRODUCTION STRATEGY IN A COMPETITIVE ENVIRONMENT." Znanstvena misel journal, no. 82 (September 22, 2023): 33–38. https://doi.org/10.5281/zenodo.8369295.

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In this article, we will explore market dynamics in competitive conditions, using examples of competitions involving three, eight, and fifteen manufacturers. We will compare their development strategies in terms of resource allocation between advertising and product quality. We will also discuss the benefits of market forecasting. Additionally, we will delve into the strategy of optimal resource allocation and provide examples of when it is advisable to adhere to it and when taking risks may lead to higher productivity and profit in a particular product line.
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Wodecki, Andrzej. "The Reserve Price Optimization for Publishers on Real-Time Bidding on-Line Marketplaces with Time-Series Forecasting." Foundations of Management 12, no. 1 (2020): 167–80. http://dx.doi.org/10.2478/fman-2020-0013.

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AbstractToday's Internet marketing ecosystems are very complex, with many competing players, transactions concluded within milliseconds, and hundreds of different parameters to be analyzed in the decision-making process. In addition, both sellers and buyers operate under uncertainty, without full information about auction results, purchasing preferences, and strategies of their competitors or suppliers. As a result, most market participants strive to optimize their trading strategies using advanced machine learning algorithms. In this publication, we propose a new approach to determining reser
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Dissertations / Theses on the topic "Forecasting of the market of advertising market"

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Lin, Wangke. "Finance Forecasting in Fractal Market Hypothesis." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-47899.

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Kyriacou, Myria. "Foreign exchange market microstructure and forecasting." Thesis, City University London, 2009. http://openaccess.city.ac.uk/8717/.

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Using two unique datasets, one at a daily frequency including six currency pairs, and another tick-by-tick dataset in €/US$, we investigate some of the unanswered questions in the field of foreign exchange market microstructure. We confirm the contemporaneous relationship between flows and exchange rates found in the literature in the daily data, but in the forecasting experiments we find no forecasting power, regardless of model, history used forecast horizon or currency pair. The forecasting performance is not improved by considering a system of exchange rates, or by evaluating based on dire
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Lu, Chiang. "Forecasting for Energy Market Risk Management." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18889.

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We rely on information from forecasts to formulate optimal decisions every day with our limited resources. The operation of the power infrastructure relies on forecasts to maintain enough supply in the system and preserve desirable operational conditions. With the concern for climate change, the shift in energy source has been focused on integrating renewable energy into the power system. Due to the stochastic nature of solar and wind. Energy cannot be produced on demand. Improving forecasts on this variable is an increasing need for its greater acceptance as a viable and a reliable energy sou
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Shah, Ismail. "Modeling and Forecasting Electricity Market Variables." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3427110.

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In deregulated electricity markets, accurate modeling and forecasting of different variables, e.g. demand, prices, production etc. have obtained increasing importance in recent years. As in most electricity markets, the daily demand and prices are determined the day before the physical delivery by means of (semi-) hourly concurrent auctions, accurate forecasts are necessary for the efficient management of power systems. However, it is well known that electricity (demand/price) data exhibit some specific features, among which, daily, weekly and annual periodic patterns as well as non-constant m
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NEVES, ANTONIO BERNARDO FERREIRA. "STATISTICAL MODELS IN ADVERTISING MARKET RESEARCH." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1991. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9046@1.

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A propaganda é sem dúvida uma das armas mais importantes do Markenting. Porém, medir sua eficiência a curto prazo como resultado do aumento de vendas pode ser uma tarefa árdua, principalmente quando este é comparado com resultados de promoções. Desta forma, modelos estatísticos vêm sendo desenvolvidos utilizando-se de outros tipos de medidas diferente do volume de vendas. Ao mesmo tempo, a propaganda passou a ser vista como algo mais científico. Mais ainda, ela tomou lugar de destaque dentro da Pesquisa de Mercado, gerando diversas tendências sobre a melhor forma de garantir o retor
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Nishi, Hirofumi. "Market Efficiency, Arbitrage and the NYMEX Crude Oil Futures Market." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862846/.

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Since Engle and Granger formulated the concept of cointegration in 1987, the literature has extensively examined the unbiasedness of the commodity futures prices using the cointegration-based technique. Despite intense attention, many of the previous studies suffer from the contradicting empirical results. That is, the cointegration test and the stationarity test on the differential contradict each other. In marked contrast, my dissertation develops the no-arbitrage cost-of-carry model in the NYMEX light sweet crude oil futures market and tests stationarity of the spot-futures differential. It
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Boenner, Alexander Bönner Alexander. "Forecasting Models for the German Office Market." [S.l.] : [s.n.], 2009. http://www.unisg.ch/www/edis.nsf/SysLkpByIdentifier/3561.

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MEDEIROS, LUCIO DE. "SPOT PRICE FORECASTING IN THE ELECTRICITY MARKET." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4777@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>O objetivo da tese é propor uma metodologia para previsão do preço de curto prazo (spot) da energia elétrica no Brasil baseada em sistemas neuro-fuzzy e nos programas do planejamento da operação do sistema elétrico brasileiro. Com essa abordagem, obtém-se distribuições estimadas do preço spot para o curto prazo com menor dispersão do que as obtidas somente com os programas do planejamento da operação. Além disso, por ser rápido, o sistema de previsão final possibilita análises de cenários ou simulações Monte Carlo. As prin
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Bönner, Alexander. "Forecasting models for the German office market." Wiesbaden Gabler, 2009. http://d-nb.info/992136172/04.

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Lang, Mark Frederick. "IMPROVING MARKETING FORECASTING THROUGH COLLECTIVE MARKET INTELLIGENCE." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/214784.

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Business Administration/Marketing<br>Ph.D.<br>New product development and management are critical to the long-term success of the firm. New product development is also an area where the firm needs to improve performance. Two important new product decisions are selecting new concepts and estimating their future market potential and demand. Forecasting is a critical activity in supporting these two decisions. Unfortunately, forecasting is an activity where firms often struggle to be proficient. Recent advances in forecasting methods offer opportunities for improvement. One of the techniques is p
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Books on the topic "Forecasting of the market of advertising market"

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Hughes, Andrew. Market Driven Political Advertising. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77730-6.

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Bolt, Gordon J. Market and sales forecasting. Watts, 1988.

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Wright, Stephen. Forecasting the bond market. Department of Applied Economics, University of Cambridge, 1995.

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Carol, Nelson. Women's market handbook. Gale Research, 1993.

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Zheng, Xiaolian, and Ben M. Chen. Stock Market Modeling and Forecasting. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5155-5.

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Hartley, Furtan W., and Economic Council of Canada, eds. Grain market outlook. Minister of Supply and Services Canada, 1989.

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Considine, Jennifer I. Battle for market share: World oil market projections, 1995-2010. Canadian Energy Research Institute, 1995.

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DeMark, Thomas R. New market timing techniques: Innovative studies in market rhythm & price exhaustion. Wiley, 1997.

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Nachum, L. World market shares of advertising tncs. ESRC Centre for Business Research, University of Cambridge, 2000.

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Tsitouras, A. K. Dynamic advertising, price and market structure. Department of Economics, Queen Mary College, 1987.

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Book chapters on the topic "Forecasting of the market of advertising market"

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Young, Ross. "Display Market Forecasting." In Handbook of Visual Display Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14346-0_153.

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Young, Ross. "Display Market Forecasting." In Handbook of Visual Display Technology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35947-7_153-2.

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Young, Ross. "Display Market Forecasting." In Handbook of Visual Display Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-79567-4_153.

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Robertson, William. "Forecasting Market Trends." In Tin. Routledge, 2023. http://dx.doi.org/10.4324/9781032694405-10.

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Cooper, John, and Peter Lane. "Market Planning: Forecasting." In Practical Marketing Planning. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-25551-1_10.

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Berk, Kevin. "Electricity market." In Modeling and Forecasting Electricity Demand. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08669-5_1.

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Dannecker, Lars. "The European Electricity Market: A Market Study." In Energy Time Series Forecasting. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-11039-0_2.

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Mizrahi, Isaac. "The Advertising Implementation Dilemma." In Hispanic Market Power. Routledge, 2023. http://dx.doi.org/10.4324/9781003348931-31.

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Rocha, Everardo. "Totemism in the market." In Advertising and Consumption. Routledge, 2021. http://dx.doi.org/10.4324/9781003176794-3.

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Saaty, Thomas L., and Luis G. Vargas. "The Stock Market." In Prediction, Projection and Forecasting. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7952-0_4.

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Conference papers on the topic "Forecasting of the market of advertising market"

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Aswini, J., Dinesh S, C. Lakshmipriya, Lokesh Krishnaa M, and Siva Subramanian R. "Stock Market Forecasting Using LSTM." In 2024 2nd World Conference on Communication & Computing (WCONF). IEEE, 2024. http://dx.doi.org/10.1109/wconf61366.2024.10692057.

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K, Pavithra, Varshini P, P. Anu, D. Mohanapriya, and Soundharya S. "Machine Learning Based Indian Stock Market Forecasting." In 2024 First International Conference on Data, Computation and Communication (ICDCC). IEEE, 2024. https://doi.org/10.1109/icdcc62744.2024.10961860.

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Pan, Qiao, Feifan Zhao, and Dehua Chen. "Financial Market Volatility Forecasting Based on Domain Adaptation." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10651321.

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Sun, Yu, and Sofianita Mutalib. "An enhanced LSTM method for financial market forecasting." In Second International Conference on Big Data, Computational Intelligence and Applications (BDCIA 2024), edited by Sos S. Agaian. SPIE, 2025. https://doi.org/10.1117/12.3059046.

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V, Karthika, and P. E. Anusree. "Stock Market Analysis and Forecasting Using Deep Learning." In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS). IEEE, 2025. https://doi.org/10.1109/icmlas64557.2025.10968208.

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Rajawat, Anand Singh, S. B. Goyal, Usha Desai, Nisha S. Tatkar, and Krishna Kumar P. R. "Harnessing Artificial Intelligence for Enhanced Market Trend Forecasting." In 2024 International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA). IEEE, 2024. https://doi.org/10.1109/ariia63345.2024.11051568.

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Lukas, Moritz, Vito Mollica, Markus Nöth, and Stefan Trück. "Overpricing, Market Outcomes, Advertising Effectiveness." In 25th Annual European Real Estate Society Conference. European Real Estate Society, 2016. http://dx.doi.org/10.15396/eres2016_210.

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Cai, Hongfei, Runzhen Huang, and Tianyi Wang. "TikTok’s Advertising Policy in the Chinese Market and Impacts on China’s Internet Economic Advertising Market." In 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022). Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220307.310.

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Gjerde, I. G., R. Venturin, and K. Stordahl. "Forecasting mobile market development." In 2005 Proceedings of the 8th International Conference on Telecommunications. IEEE, 2005. http://dx.doi.org/10.1109/contel.2005.185857.

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Wang, Yiming. "Cryptocurrency Market Volatility Forecasting." In ICCMB 2023: 2023 The 6th International Conference on Computers in Management and Business. ACM, 2023. http://dx.doi.org/10.1145/3584816.3584823.

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Reports on the topic "Forecasting of the market of advertising market"

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DellaVigna, Stefano, Ruben Durante, Brian Knight, and Eliana La Ferrara. Market-based Lobbying: Evidence from Advertising Spending in Italy. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19766.

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Deisenroth, Daniel, Utsav Manjeer, Zarak Sohail, Steven Tadelis, and Nils Wernerfelt. Digital Advertising and Market Structure: Implications for Privacy Regulation. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w32726.

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Omar, Farhad, and David Holmberg. Load Forecasting Tool for NIST Transactive Energy Market. National Institute of Standards and Technology, 2021. http://dx.doi.org/10.6028/nist.tn.2181.

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Griffith, Rachel, Pierre Dubois, and Martin O'Connell. The impact of banning advertising on the market for crisps. The IFS, 2012. http://dx.doi.org/10.1920/ps.ifs.2024.0851.

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Case, Karl, and Robert Shiller. Forecasting Prices and Excess Returns in the Housing Market. National Bureau of Economic Research, 1990. http://dx.doi.org/10.3386/w3368.

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Nees, Dale M. Profitability of Using Forecasting Techniques in the Commodities Market. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada165144.

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Ba, Bocar, Roman Rivera, and Alexander Whitefield. Forecasting the Impact of Racial Uprisings, Market versus Stakeholders' Expectations. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31857.

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Silk, Alvin, and Ernst Berndt. Costs, Institutional Mobility Barriers, and Market Structure: Advertising Agencies as Multiproduct Firms. National Bureau of Economic Research, 1994. http://dx.doi.org/10.3386/w4826.

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Gilshannon, S. T., and D. R. Brown. Review of methods for forecasting the market penetration of new technologies. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/432867.

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Engle, Robert, and Joe Lange. Measuring, Forecasting and Explaining Time Varying Liquidity in the Stock Market. National Bureau of Economic Research, 1997. http://dx.doi.org/10.3386/w6129.

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