Relevant bibliographies by topics / Forecast strategy

Contents

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

Academic literature on the topic 'Forecast strategy'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Forecast strategy"

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Rupp, David E., Thomas C. Wainwright, and Peter W. Lawson. "Effect of forecast skill on management of the Oregon coast coho salmon (Oncorhynchus kisutch) fishery." Canadian Journal of Fisheries and Aquatic Sciences 69, no. 6 (2012): 1016–32. http://dx.doi.org/10.1139/f2012-040.

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Better fisheries management is often given as one justification for research on improving forecasts of fish survival. However, the value gained from expected improvements in forecast skill in terms of achieving management goals is rarely quantified as part of research objectives. Using Monte Carlo simulations of population dynamics, we assessed the effect of forecast skill under two strategies for managing Oregon coast natural (OCN) coho salmon ( Oncorhynchus kisutch ). The first, or status quo, strategy is currently being used to rebuild threatened OCN coho populations. This strategy determin
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Ebert, Elizabeth E. "Neighborhood Verification: A Strategy for Rewarding Close Forecasts." Weather and Forecasting 24, no. 6 (2009): 1498–510. http://dx.doi.org/10.1175/2009waf2222251.1.

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Abstract High-resolution forecasts may be quite useful even when they do not match the observations exactly. Neighborhood verification is a strategy for evaluating the “closeness” of the forecast to the observations within space–time neighborhoods rather than at the grid scale. Various properties of the forecast within a neighborhood can be assessed for similarity to the observations, including the mean value, fractional coverage, occurrence of a forecast event sufficiently near an observed event, and so on. By varying the sizes of the neighborhoods, it is possible to determine the scales for
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Savage, Tamara, Alex Davis, Baruch Fischhoff, and M. Granger Morgan. "A strategy to improve expert technology forecasts." Proceedings of the National Academy of Sciences 118, no. 21 (2021): e2021558118. http://dx.doi.org/10.1073/pnas.2021558118.

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Forecasts of the future cost and performance of technologies are often used to support decision-making. However, retrospective reviews find that many forecasts made by experts are not very accurate and are often seriously overconfident, with realized values too frequently falling outside of forecasted ranges. Here, we outline a hybrid approach to expert elicitation that we believe might improve forecasts of future technologies. The proposed approach iteratively combines the judgments of technical domain experts with those of experts who are knowledgeable about broader issues of technology adop
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Yang, Qichun, Quan J. Wang, Kirsti Hakala, and Yating Tang. "Bias-correcting input variables enhances forecasting of reference crop evapotranspiration." Hydrology and Earth System Sciences 25, no. 9 (2021): 4773–88. http://dx.doi.org/10.5194/hess-25-4773-2021.

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Abstract. Reference crop evapotranspiration (ETo) is calculated using a standard formula with temperature, vapor pressure, solar radiation, and wind speed as input variables. ETo forecasts can be produced when forecasts of these input variables from numerical weather prediction (NWP) models are available. As raw ETo forecasts are often subject to systematic errors, statistical calibration is needed for improving forecast quality. The most straightforward and widely used approach is to directly calibrate raw ETo forecasts constructed with the raw forecasts of input variables. However, the predi
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Salamouris, Ioannis S., and Yaz Gulnur Muradoglu. "Estimating analyst's forecast accuracy using behavioural measures (Herding) in the United Kingdom." Managerial Finance 36, no. 3 (2010): 234–56. http://dx.doi.org/10.1108/03074351011019564.

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PurposeThe purpose of this paper is to identify herding behaviour on financial markets and measure the herding behaviour impact on the accuracy of analysts' earnings forecasts.Design/methodology/approachTwo alternative measures of herding behaviour, on analysts' earnings forecasts are proposed. The first measure identifies herding as the tendency of analysts to forecast near the consensus. The second measure identifies herding as the tendency of analysts to follow the most accurate forecaster. This paper employs the method of The Generalised Method of Moments in order to relax any possible bia
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Shah, Rohan, and Phani R. Jammalamadaka. "Optimal Portfolio Strategy for Risk Management in Toll Road Forecasts and Investments." Transportation Research Record: Journal of the Transportation Research Board 2670, no. 1 (2017): 83–94. http://dx.doi.org/10.3141/2670-11.

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The study leveraged modern portfolio theory and stochastic time series models to develop a risk management strategy for future traffic projections along brownfield toll facilities. Uncertainty in future traffic forecasts may raise concerns about performance reliability and revenue potential. Historical time series traffic data from brownfield corridors were used for developing econometric forecast estimates, and Monte Carlo simulation was used to quantify a priori risks or variance to develop optimal forecasts by using mean-variance optimization strategies. Numerical analysis is presented with
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Yang, Dazhi, and Allan N. Zhang. "Impact of Information Sharing and Forecast Combination on Fast-Moving-Consumer-Goods Demand Forecast Accuracy." Information 10, no. 8 (2019): 260. http://dx.doi.org/10.3390/info10080260.

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This article empirically demonstrates the impacts of truthfully sharing forecast information and using forecast combinations in a fast-moving-consumer-goods (FMCG) supply chain. Although it is known a priori that sharing information improves the overall efficiency of a supply chain, information such as pricing or promotional strategy is often kept proprietary for competitive reasons. In this regard, it is herein shown that simply sharing the retail-level forecasts—this does not reveal the exact business strategy, due to the effect of omni-channel sales—yields nearly all the benefits of sharing
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Hudson, Debra, Andrew G. Marshall, Yonghong Yin, Oscar Alves, and Harry H. Hendon. "Improving Intraseasonal Prediction with a New Ensemble Generation Strategy." Monthly Weather Review 141, no. 12 (2013): 4429–49. http://dx.doi.org/10.1175/mwr-d-13-00059.1.

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Abstract The Australian Bureau of Meteorology has recently enhanced its capability to make coupled model forecasts of intraseasonal climate variations. The Predictive Ocean Atmosphere Model for Australia (POAMA, version 2) seasonal prediction forecast system in operations prior to March 2013, designated P2-S, was not designed for intraseasonal forecasting and has deficiencies in this regard. Most notably, the forecasts were only initialized on the 1st and 15th of each month, and the growth of the ensemble spread in the first 30 days of the forecasts was too slow to be useful on intraseasonal t
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Xin, Chunlin, Jianwen Zhang, and Ziping Wang. "Risk strategy analysis for an online rental problem of durable equipment with a transaction cost." Journal of Algorithms & Computational Technology 15 (January 2021): 174830262110084. http://dx.doi.org/10.1177/17483026211008411.

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This study introduces the second-hand market into the famous ski-rental model, presents an online rental problem of durable equipment with a transaction cost, and designs an optimal deterministic competitive strategy. The traditional competitive analysis is based on the worst-case scenario; hence, its results are too conservative. Even though investors want to manage and control their risks in reality, in some cases, they are willing to undertake higher risk to obtain greater benefits. Considering this situation, this study designs a risk strategy combining the decision makers’ risk tolerance
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Fernández-Vázquez, Esteban, Blanca Moreno, and Geoffrey J. D. Hewings. "A Data-Weighted Prior Estimator for Forecast Combination." Entropy 21, no. 4 (2019): 429. http://dx.doi.org/10.3390/e21040429.

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Forecast combination methods reduce the information in a vector of forecasts to a single combined forecast by using a set of combination weights. Although there are several methods, a typical strategy is the use of the simple arithmetic mean to obtain the combined forecast. A priori, the use of this mean could be justified when all the forecasters have had the same performance in the past or when they do not have enough information. In this paper, we explore the possibility of using entropy econometrics as a procedure for combining forecasts that allows to discriminate between bad and good for
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Dissertations / Theses on the topic "Forecast strategy"

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Hui, Kai Wai. "Management forecast strategy and CEO disclosure credibility /." view abstract or download file of text, 2004. http://wwwlib.umi.com/cr/uoregon/fullcit?p3136421.

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Thesis (Ph. D.)--University of Oregon, 2004.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 89-93). Also available for download via the World Wide Web; free to University of Oregon users.
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Rodrigues, Eduardo Rocha. "Dynamic load-balancing : a new strategy for weather forecast models." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/34776.

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Weather forecasting models are computationally intensive applications and traditionally they are executed in parallel machines. However, some issues prevent these models from fully exploiting the available computing power. One of such issues is load imbalance, i.e., the uneven distribution of load across the processors of the parallel machine. Since weather models are typically synchronous applications, that is, all tasks synchronize at every time-step, the execution time is determined by the slowest task. The causes of such imbalance are either static (e.g. topography) or dynamic (e.g. shortw
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Li, Zhen. "Performance evaluation of a Make-To-Forecast policy with postponement strategy." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2147767.

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Kong, Ai S. M. Massachusetts Institute of Technology. "Retail sales forecast : a cross sectional approach for real investment strategy." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/58636.

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Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Dept. of Architecture, Center for Real Estate, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (leaves 56-57).<br>The intent of this thesis is to identify the demand drivers for ten retail sub-categories in the US and develop an understanding of how to best use this information to make better retail real estate investment decisions. This cross sectional study analyzes s
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Fleming, Damon M. "The Effects of Management's Forecast Strategy on Venture Capitalist Investment Screening Judgment." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/29059.

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Prior research indicates that management forecast strategies affect investors' perceptions of management, which, in turn, influence investors' judgments about the firm. The current study hypothesizes and demonstrates that decisions about the completeness and form of management's forecast disclosure affect venture capitalists' (VCs) investment screening judgments. In an experiment, 53 experienced VCs indicate whether they would recommend conducting due diligence on a new venture. I manipulate the completeness (inclusion vs. omission of quantitative data about the components of earnings) and
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Mansur, Mohaimen. "Essays on forecasting financial and economic time series." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8576.

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This thesis comprises three main chapters focusing on a number of issues related to forecasting economic and nancial time series. Chapter 2 contains a detailed empirical study comparing forecast perfor- mance of a number of popular term structure models in predicting the UK yield curve. Several questions are addressed and investigated, such as whether macroeconomic information helps in forecasting yields and whether predict- ing performance of models change over time. We nd evidence of signi cant time-variation in forecast accuracy of competing models, particularly during the recent nancial cr
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Karlsson, Christian, and aziz Imadeddin Abdul. "Investigating Demand Forecasting Strategy and Information Exchange : A case study at a Swedish wholesaler." Thesis, Jönköping University, JTH, Logistik och verksamhetsledning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54002.

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Purpose – Forecasting is a firm's ability to anticipate or predict the future demand givenon a set of assumptions. For a company to implement an appropriate forecast model whichcan make accurate assumptions, the model needs to be aligned with the company's businesssituation and enhanced through supply chain relationships. Therefore, the purpose of thisstudy is: Investigate how small sized wholesalers benefit from demand forecasting. The purpose is divided into two research questions RQ1: How can a company influenced by a seasonal demand select an appropriateforecast model according to its busi
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Braida, Giacomo, and Roberto Tomasetig. "Preliminary analysis of the potential energy saving achievable with a predictive control strategy of a heat pump for a single family house." Thesis, KTH, Tillämpad termodynamik och kylteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240067.

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The present work reports a study related to the potential improvement of the energy performances of a heat pump based heating system for a Swedish single-family house. The analysis is focused on the design of new rule-based control strategies which employ perfect predictions of weather forecast and human behaviour information. In particular, the considered signals are the outdoor temperature, the solar radiation, the internal gain due to inhabitants’ activities and the Domestic Hot Water (DHW) consumption. The study is performed by means of the TRNSYS® simulation software in which the model of
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Ratnieks, Ianes. "Identificação e previsão de bull e bear markets : uma análise para o índice Ibovespa." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/79119.

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O presente trabalho busca identificar bull e bear markets para o mercado financeiro brasileiro, especificamente para o índice Ibovespa, através das principais metodologias existentes na literatura: regras não paramétricas e modelos de mudança de regime markoviano. A primeira abordagem foi utilizada como benchmark para comparação com melhor modelo econométrico estimado pela segunda abordagem, visto que trata-se de um método ex-post de identificação. No tange aos modelos de mudança de regime markoviano, constatou-se que permitir regimes distintos também para a variância da série contribui para a
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Vokůrka, Jan. "Ocenění podniku EOS KSI." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75470.

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The main goal of my diploma thesis is business valuation of EOS KSI. Whole thesis is divided into four parts. Financial analysis, strategy analysis, analysis and forecast of value drivers and final valuation.
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Books on the topic "Forecast strategy"

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Michael, Woodford. Forecast targeting as a monetary policy strategy: Policy rules in practice. National Bureau of Economic Research, 2007.

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Young, Don. Unisys Corporation: Strategic analysis/financial forecast. S.C. Bernstein, 1988.

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Council, Further Education Funding. Strategic plans including financial forecasts. FEFC, 1999.

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Bechard, Matthew. International online markets 2000: Strategic outlook & forecast. Simba Information, 2000.

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Council, Hampshire County. Hampshire: County strategy : long term forecasts : background paper. HantsCC, 1986.

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), Forecast Systems Laboratory (U S. Strategic plan, 2001-2005, Forecast Systems Laboratory, Boulder, Colorado. U.S. Dept. of Commerce, NOAA Research, Forecast Systems Laboratory, 2001.

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Blenkinsopp, Damien. Strategy consulting marketplace, 2006-2009: Key trends, profiles and forecasts. Kennedy Information, 2007.

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Er shi yi shi ji de zhan lue qian zhan. Mai tian chu ban gu fen you xian gong si, 1999.

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God's new envoys: A bold strategy for penetrating "Closed countries". Multnomah Press, 1987.

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Dynkin, A. A. Strategic global outlook: 2030. IMEMO RAN, 2011.

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Book chapters on the topic "Forecast strategy"

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Woodford, Michael. "The Case for Forecast Targeting as a Monetary Policy Strategy." In The Science and Practice of Monetary Policy Today. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02953-0_3.

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Liu, Lin, Yang Li, Ming Hao, Xuemei Liu, Kun Yang, and Jin Yuan. "Intelligent Fertilization Strategy Based on Integration of Soil Moisture and Forecast Rainfall." In Advanced Manufacturing and Automation VIII. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2375-1_76.

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Miyakoda, Kikuro. "Strategy for Regional Seasonal Forecasts." In Ocean Forecasting. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-22648-3_10.

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de Waal, André. "Exceptions, Actions, and Rolling Forecasts." In Strategic Performance Management. Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-34918-7_8.

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Luther, Emmanuel E., Seyed M. Shariatipour, Michael C. Dallaston, and Ran Holtzman. "Solute Driven Transient Convection in Layered Porous Media." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_1.

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AbstractCO2 geological sequestration has been proposed as a climate change mitigation strategy that can contribute towards meeting the Paris Agreement. A key process on which successful injection of CO2 into deep saline aquifer relies on is the dissolution of CO2 in brine. CO2 dissolution improves storage security and reduces risk of leakage by (i) removing the CO2 from a highly mobile fluid phase and (ii) triggering gravity-induced convective instability which accelerates the downward migration of dissolved CO2. Our understanding of CO2 density-driven convection in geologic media is limited. Studies on transient convective instability are mostly in homogeneous systems or in systems with heterogeneity in the form of random permeability distribution or dispersed impermeable barriers. However, layering which exist naturally in sedimentary geological formations has not received much research attention on transient convection. Therefore, we investigate the role of layering on the onset time of convective instability and on the flow pattern beyond the onset time during CO2 storage. We find that while layering has no significant effect on the onset time, it has an impact on the CO2 flux. Our findings suggest that detailed reservoir characterisation is required to forecast the ability of a formation to sequester CO2.
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Weinstein, Martin E. "CHAPTER II: Strategic Thought and the U.S.-Japan Alliance." In Forecast for Japan: Security in the 1970's. Princeton University Press, 2015. http://dx.doi.org/10.1515/9781400870394-003.

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Nikolopoulos, Sotirios D. "Dynamic Combination of Automatic Forecasts for Corporate Budgeting." In Strategic Innovative Marketing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56288-9_15.

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Shaban-Nejad, Arash, and Volker Haarslev. "Strategic Health Information Management and Forecast: The Birdwatching Approach." In Computational Collective Intelligence. Technologies and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16696-9_49.

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Agesen, Mads Kronborg, Søren Enevoldsen, Thibaut Le Guilly, Anders Mariegaard, Petur Olsen, and Arne Skou. "Energy Consumption Forecast of Photo-Voltaic Comfort Cooling Using UPPAAL Stratego." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63121-9_30.

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Atwater, D. M., E. S. Bres, and R. J. Niehaus. "Analyzing Organizational Strategic Change Using Proactive Labor Market Forecasts." In Creating the Competitive Edge through Human Resource Applications. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-0969-7_10.

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Conference papers on the topic "Forecast strategy"

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Chen, Jiaying. "Research on cruise pricing strategy based on Forecast." In 2016 International Conference on Education, Sports, Arts and Management Engineering. Atlantis Press, 2016. http://dx.doi.org/10.2991/icesame-16.2016.232.

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Wang, Bin. "Research on cruise pricing strategy based on Forecast." In 2015 5th International Conference on Computer Sciences and Automation Engineering (ICCSAE 2015). Atlantis Press, 2016. http://dx.doi.org/10.2991/iccsae-15.2016.21.

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Manowska, Anna. "FORECAST TO DETERMINE A DEVELOPMENT STRATEGY FOR THE MINING SECTOR." In 18th International Multidisciplinary Scientific GeoConference SGEM2018. Stef92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018/5.3/s28.123.

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Rocha Rodrigues, Eduardo, Igor Oliveira, Renato Cunha, and Marco Netto. "DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast." In 2018 IEEE 14th International Conference on e-Science (e-Science). IEEE, 2018. http://dx.doi.org/10.1109/escience.2018.00130.

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Bretschneider, P., Th Rauschenbach, and J. Wernstedt. "Forecast strategy using an adaptive fuzzy classification algorithm for load." In 1999 European Control Conference (ECC). IEEE, 1999. http://dx.doi.org/10.23919/ecc.1999.7100094.

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Sommer, Matthias, Sven Tomforde, and Jorg Hahner. "Learning a Dynamic Re-combination Strategy of Forecast Techniques at Runtime." In 2015 IEEE International Conference on Autonomic Computing (ICAC). IEEE, 2015. http://dx.doi.org/10.1109/icac.2015.70.

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Kim, Moon-koo, Jong-hyun Park, Kyoung-yong Jee, and Sun-mi Lee. "Demand Forecast and Market Development Strategy for Corporate Portable Internet Market." In 2006 Technology Management for the Global Future - PICMET 2006 Conference. IEEE, 2006. http://dx.doi.org/10.1109/picmet.2006.296752.

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Ongkicyntia, Allysia, and Jani Rahardjo. "Replenishment Strategy Based on Historical Data and Forecast of Safety Stock." In 2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT). IEEE, 2017. http://dx.doi.org/10.1109/icsiit.2017.65.

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Wang, Jun, and Weimin Li. "Optimal strategy of users' power consumption forecast based on repeated game model." In 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2015. http://dx.doi.org/10.1109/icicip.2015.7388146.

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Jing Qiu, Zhao Yang Dong, Ke Meng, Yu Zheng, Ying Ying Chen, and Huiqiao Tian. "Risk sharing strategy for minimizing imbalance costs of wind power forecast errors." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672411.

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Reports on the topic "Forecast strategy"

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Woodford, Michael. Forecast Targeting as a Monetary Policy Strategy: Policy Rules in Practice. National Bureau of Economic Research, 2007. http://dx.doi.org/10.3386/w13716.

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Murphy, Carl. Parallel Software Engineering Technology Forecast, Assessment, Trends, Vision, and Strategy. Volume 2. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada303054.

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Draxl, Caroline, L. K. Berg, L. Bianco, et al. The Verification and Validation Strategy Within the Second Wind Forecast Improvement Project (WFIP 2). Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1575910.

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Criss, III, and George W. Space Technology and the Soviet/US Strategic Competition: A Perspective and Forecast Using Twelve-Year Cycles. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada202538.

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