Relevant bibliographies by topics / Forecasting Profitability

Contents

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

Academic literature on the topic 'Forecasting Profitability'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Forecasting Profitability"

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Maris, Brian A. "Forecasting Profitability and Earnings." CFA Digest 30, no. 4 (2000): 21–22. http://dx.doi.org/10.2469/dig.v30.n4.759.

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Fama, Eugene F., and Kenneth R. French. "Forecasting Profitability and Earnings." Journal of Business 73, no. 2 (2000): 161–75. http://dx.doi.org/10.1086/209638.

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Shirin, Tursunkhodjayeva. "Medium-Term Forecasting Of Investment Portfolio Profitability." International Journal Of Management And Economics Fundamental 5, no. 6 (2025): 108–16. https://doi.org/10.37547/ijmef/volume05issue06-22.

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This study explores medium-term forecasting of investment portfolio profitability by analyzing the stock prices of six Uzbek joint-stock companies using time series models. The research compares classical statistical models such as ARIMA with nonlinear models like GARCH and LSTM to determine their accuracy in volatile market conditions. Over 848 ARIMA model combinations were tested, and the most optimal models were selected based on statistical indicators such as AIC, BIC, and significance of parameters. Findings revealed that combining ARIMA with GARCH models improves forecast precision due t
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P. Bauman, Mark. "Forecasting operating profitability with DuPont analysis." Review of Accounting and Finance 13, no. 2 (2014): 191–205. http://dx.doi.org/10.1108/raf-11-2012-0115.

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Purpose – The purpose of this study is to re-examine the relation between changes in profit margin (ΔPM) and changes in return on net operating assets (ΔRNOA) by partitioning on the direction of the change in PM. DuPont analysis provides a means of disaggregating a firm’s return on net operating assets (RNOA) into asset turnover (ATO) and profit margin (PM) components to gain insights into the underlying drivers of operating profitability. Prior research finds that changes in ATO are informative about one-year-ahead changes in RNOA, while changes in PM are not. Design/methodology/approach – Co
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Krahmalova, Nina, and Volodymyr Slonopas. "ASSESSMENT AND FORECASTING OF BUSINESS PROFITABILITY IN THE FORMATION OF ENTREPRENEURIAL POTENTIAL IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT." Actual Problems of Economics 1, no. 276 (2024): 72–84. http://dx.doi.org/10.32752/1993-6788-2024-1-276-72-84.

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The article examines the problems of assessing and forecasting business profitability in the formation of entrepreneurial potential in the context of sustainable development. It was determined that in the formation of entrepreneurial potential, considerable attention should be paid to the analysis of market conditions and the competitive environment, which helps to identify the strengths and weaknesses of the business, as well as opportunities for growth and threats that can affect its profitability. For research, analysis, modeling and forecasting of the level of profitability of production o
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Skvarciany, Viktorija, and Justina Simanavičiūtė. "Bank Profitability Analysis and Forecasting: Lithuania Case." Trends Economics and Management 12, no. 32 (2018): 101. http://dx.doi.org/10.13164/trends.2018.32.101.

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Van Lear, W. "Profitability in business cycle theory and forecasting." Review of Radical Political Economics 31, no. 2 (1999): 46–60. http://dx.doi.org/10.1016/s0486-6134(99)80003-5.

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Van Lear, William. "Profitability in Business Cycle Theory and Forecasting." Review of Radical Political Economics 31, no. 2 (1999): 46–60. http://dx.doi.org/10.1177/048661349903100203.

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Hrytsiuk, Petro, and Tetyana Babych. "MODELING OF GRAIN PRODUCTION PROFITABILITY BY FUZZY LOGIC." International Journal of New Economics and Social Sciences 4, no. 2 (2016): 42–52. http://dx.doi.org/10.5604/01.3001.0010.4538.

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Ukraine is an agrarian state. One of the most important brunches of agriculture sector is grain production. High yield of grain is a basis of Ukrainian food security. Therefore the task of developing a reliable mathematical model forecasting the grain production profitability is actually. Regression analysis and fuzzy simulation principles have been used for building of the grain production profitability depending model. The values profitability forecasting for 2015 obtained by three different methods are convergent to each other.
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Vorst, Patrick, and Teri Lombardi Yohn. "Life Cycle Models and Forecasting Growth and Profitability." Accounting Review 93, no. 6 (2018): 357–81. http://dx.doi.org/10.2308/accr-52091.

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ABSTRACT Mean reversion in profitability and growth is a well-documented phenomenon; however, comparatively less is known about the level of analysis that best captures mean reversion. In this study, we find that analyzing firms by life cycle stage improves the out-of-sample accuracy of profitability and growth forecasts over analyzing firms pooled across the economy and analyzing firms by industry. The improved accuracy is robust to both short-term and long-term forecasts of profitability and growth. We also find that the improvement in accuracy of forecasts from life cycle analyses is greate
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Dissertations / Theses on the topic "Forecasting Profitability"

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St-Jean, Alex. "Customer profitability forecasting using fair boosting : an application to the insurance industry." Master's thesis, Université Laval, 2021. http://hdl.handle.net/20.500.11794/68083.

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La prévision de la profitabilité du client, ainsi que la tarification, sont des pièces centrales dans le monde des sciences actuarielles. En utilisant des données sur les historiques des clients et en optimisant des modèles statistiques, les actuaires peuvent prévoir, dans une certaine mesure, le montant qu’un client réclamera durant une certaine période. Cependant, ces modèles utilisent souvent des données sensibles reliées au client qui sont considérées comme étant des facteurs de risque très importants dans la prédiction de pertes futures. Ceci est considéré comme étant légal dans plusieurs
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Watkins, Arica. "Successful Demand Forecasting Modeling Strategies for Increasing Small Retail Medical Supply Profitability." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7576.

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The lack of effective demand forecasting strategies can result in imprecise inventory replenishment, inventory overstock, and unused inventory. The purpose of this single case study was to explore successful demand forecasting strategies that leaders of a small, retail, medical supply business used to increase profitability. The conceptual framework for this study was Winters's forecasting demand approach. Data were collected from semistructured, face-to-face interviews with 8 business leaders of a private, small, retail, medical supply business in the southeastern United States and the review
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Crespo, Cuaresma Jesus, Ines Fortin, and Jaroslava Hlouskova. "Exchange rate forecasting and the performance of currency portfolios." Wiley, 2018. http://dx.doi.org/10.1002/for.2518.

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We examine the potential gains of using exchange rate forecast models and forecast combination methods in the management of currency portfolios for three exchange rates: the euro versus the US dollar, the British pound, and the Japanese yen. We use a battery of econometric specifications to evaluate whether optimal currency portfolios implied by trading strategies based on exchange rate forecasts outperform single currencies and the equally weighted portfolio. We assess the differences in profitability of optimal currency portfolios for different types of investor preferences, two trading stra
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Wheetley, Amaya Tyler. "Nonperforming Loans: Asset Pricing and Determinants of Profitability." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1933.

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I formally analyze the role of nonperforming loan (NPL) characteristics in explaining NPL profit outcomes compared to the current pricing model for NPLs. I expected that factors included in the current NPL model would not be statistically significant in determining profit outcomes as those factors were considered in determining the purchase price of the asset. Surprisingly, I find that interest rates are statistically significant and negatively correlated with IRR. This is surprising because interest rates are considered in the current NPL pricing model. The results suggest that greater weight
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Costantini, Mauro, Cuaresma Jesus Crespo, and Jaroslava Hlouskova. "Can Macroeconomists Get Rich Forecasting Exchange Rates?" WU Vienna University of Economics and Business, 2014. http://epub.wu.ac.at/4181/1/wp176.pdf.

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We provide a systematic comparison of the out-of-sample forecasts based on multivariate macroeconomic models and forecast combinations for the euro against the US dollar, the British pound, the Swiss franc and the Japanese yen. We use profit maximization measures based on directional accuracy and trading strategies in addition to standard loss minimization measures. When comparing predictive accuracy and profit measures, data snooping bias free tests are used. The results indicate that forecast combinations help to improve over benchmark trading strategies for the exchange rate against the U
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Lee, Kin Pui. "Growth, profitability, merger and de-merger in UK brewing 1989-2000." Thesis, University of Sunderland, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390660.

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Costantini, Mauro, Cuaresma Jesus Crespo, and Jaroslava Hlouskova. "Forecasting errors, directional accuracy and profitability of currency trading: The case of EUR/USD exchange rate." Wiley, 2016. http://dx.doi.org/10.1002/for.2398.

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We provide a comprehensive study of out-of-sample forecasts for the EUR/USD exchange rate based on multivariate macroeconomic models and forecast combinations. We use profit maximization measures based on directional accuracy and trading strategies in addition to standard loss minimization measures. When comparing predictive accuracy and profit measures, data snooping bias free tests are used. The results indicate that forecast combinations, in particular those based on principal components of forecasts, help to improve over benchmark trading strategies, although the excess return per unit of
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Yucal, Elif. "Profitability study of the annuities of EY-Insurance." Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/11279.

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Mestrado em Ciências Actuariais<br>Este trabalho procura analisar a rentabilidade obtida com a venda de anuidades e produtos anuais renováveis, na seguradora Vida onde decorreu o estágio. As questões relacionadas com os desvios observados na mortalidade e a necessidade de encontrar um modelo de sobrevivência mais ajustado à experiência da companhia foram aspetos de crucial importância. Procurou assim encontrar-se bases técnicas mais adequadas para o cálculo de prémios e reservas, tanto para os produtos já em comercialização, como para novos produtos que venham a ser lançados, pois também a tax
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Roberts, Harry Hutchinson. "Comparison of the profitability of a number of technical trading systems on the ALSI futures contract." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/920.

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Thesis (MBA (Business Management))--University of Stellenbosch, 2009.<br>ENGLISH ABSTRACT: The purpose of this report is to investigate whether the returns of five different trading systems applied is able to outperform the return of a Buy & Hold (B&H) strategy when applied to the Johannesburg Stock Exchange/Financial Times Stock Exchange (JSE/FTSE) Top 40 Index future contract (ALSI). The study starts with an overview of theoretical and empirical studies regarding technical trading systems as well as the application of these technical trading systems in various strategy formats. Five commo
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Фесенко, Є. І., Надія Володимирівна Тиркусова, Надежда Владимировна Тыркусова та Nadiia Volodymyrivna Tyrkusova. "Побудова та дослідження моделей для прогнозування рентабельності підприємства за економічними показниками". Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/9827.

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Математичне моделювання дозволяє строїти та досліджувати моделі реальних економічних процесів, що дає можливість аналізувати вплив факторів, а також достатньо точно прогнозувати економічні процеси на певні проміжки часу [1]. Для підприємства «Орізон», що займається заготівлею та переробкою деревини, на основі даних за 2004-2010 р.р. були побудовані та досліджені моделі для прогнозування рентабельності підприємства. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/9827
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Books on the topic "Forecasting Profitability"

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Harris, Michael. Profitability and systematic trading. Tradingpatterns.com, 2005.

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Harris, Michael. Profitability and systematic trading: A quantitative approach to profitability, risk, and money management. Wiley, 2008.

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Ahmed, Saeed. Forecasting profitability, earnings, and corporate taxes: Evidence from UK companies. State Bank of Pakistan, 2007.

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Eklof, Dennis. Upstream profitability in the 1990s: A new perspective. Cambridge Energy Research Associates, 1993.

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Stoeckel, A. B. Wool into the 21st century: Implications for marketing and profitability. Centre for International Economics, 1990.

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Jane, Gravelle, United States. Congress. Office of Technology Assessment., and Library of Congress. Congressional Research Service, eds. Oil prospect profitability in the United States: Estimated expectations in 1972, 1981, 1985, and 1986. Library of Congress, Congressional Research Service, 1987.

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Lund, Alan K. Accelerating Profitability. Primedia eLaunch LLC, 2015.

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Harris, Michael. Profitability and Systematic Trading: A Quantitative Approach to Profitability, Risk, and Money Management. Wiley & Sons, Incorporated, John, 2008.

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Nees, Dale M. Profitability of using forecasting techniques in the commodities market. 1985.

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Harris, Michael. Profitability and Systematic Trading: A Quantitative Approach to Profitability, Risk, and Money Management (Wiley Trading). Wiley, 2008.

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Book chapters on the topic "Forecasting Profitability"

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Keser, Ahmet Esat, and Onur Behzat Tokdemir. "Machine Learning-Based Construction Planning and Forecasting Model." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.71.

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Construction planning and scheduling are crucial aspects of project management that require a lot of time and resources to manage effectively. Machine learning and artificial intelligence techniques have shown great potential in improving construction planning and scheduling by providing more accurate insights into project progress and forecasting. This paper proposed a machine learning model that utilizes regularly updated site data to generate predictions of quantity variances from the plan and enable a more accurate forecast of future progress based on historical data on concrete activities
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Keser, Ahmet Esat, and Onur Behzat Tokdemir. "Machine Learning-Based Construction Planning and Forecasting Model." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.71.

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Construction planning and scheduling are crucial aspects of project management that require a lot of time and resources to manage effectively. Machine learning and artificial intelligence techniques have shown great potential in improving construction planning and scheduling by providing more accurate insights into project progress and forecasting. This paper proposed a machine learning model that utilizes regularly updated site data to generate predictions of quantity variances from the plan and enable a more accurate forecast of future progress based on historical data on concrete activities
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Pereira, Robert. "Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-Optimised Technical Trading Rules." In Evolutionary Computation in Economics and Finance. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1784-3_16.

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Sebastião, Helder, and Pedro Godinho. "Forecasting and Trading Cryptocurrencies with Machine Learning Under Changing Market Conditions." In Blockchain, Crypto Assets, and Financial Innovation. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-6839-7_10.

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Abstract This study examines the predictability of three major cryptocurrencies—bitcoin, ethereum, and litecoin—and the profitability of trading strategies devised upon machine learning techniques (e.g., linear models, random forests, and support vector machines). The models are validated in a period characterized by unprecedented turmoil and tested in a period of bear markets, allowing the assessment of whether the predictions are good even when the market direction changes between the validation and test periods. The classification and regression methods use attributes from trading and netwo
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"Profitability Forecasting Models." In Airline Network Planning and Scheduling. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119275909.ch9.

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"Profitability of Momentum Indicators." In Technical Analysis and Financial Asset Forecasting. WORLD SCIENTIFIC, 2014. http://dx.doi.org/10.1142/9789814436250_0007.

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"Forecasting Income and Managing Profitability." In Managing a Public Relations Firm for Growth and Profit. Routledge, 2013. http://dx.doi.org/10.4324/9780203462669-21.

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Bhimavarapu, Usharani. "Temporal Profitability Forecasting for Firms." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-9122-8.ch016.

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Accurate pricing predictability is crucial for firms to maintain competitiveness, optimize revenue, and adapt to dynamic market conditions. By understanding the intricate relationship between financial indicators, industry trends, and macroeconomic factors, firms can develop data-driven strategies to forecast profitability and refine their pricing models effectively. This study employs Bidirectional Long Short-Term Memory (BiLSTM) networks to predict firm profitability using panel data from 2020 to 2024. By leveraging BiLSTM's ability to capture long- and short-term dependencies through bidire
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Jones, Peter, and Peter Robinson. "Managing Capacity and Demand." In Operations Management. Oxford University Press, 2019. http://dx.doi.org/10.1093/hebz/9780198724353.003.0009.

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This chapter looks into managing capacity and demand. It defines capacity as the maximum possible output of an operation or process in a given time. The chapter explores different types of capacity measurement alongside its management in a customer processing operation. Additionally, it discusses alternative methods for forecasting demand and managing capacity by referencing time series forecasting, causal forecasting, qualitative techniques, level capacity, chase demand, and demand management. The chapter also lists the four types of labour flexibility. It mentions revenue management as the s
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C, Padmaja, and Smitha Shivaswamy. "Insights into Increasing Profitability with Power BI Aanalysis." In Digital Transformation in Business: Bridging Management and Technology. QTanalytics India, 2025. https://doi.org/10.48001/978-81-980647-4-5-4.

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This chapter explores the transformative role of Power BI in enhancing business efficiency and profitability. It examines how organizations can leverage Power BI’s data integration, visualization, and analytical capabilities to drive strategic decision-making. Key focus areas include sales performance tracking, customer segmentation, inventory management, and financial forecasting. The chapter highlights the significance of interactive dashboards, AI-driven insights, and best practices for maximizing profitability. By aligning business objectives with data-driven analysis, organizations can op
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Conference papers on the topic "Forecasting Profitability"

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Shanmugasundaram, C., C. Umamaheswari, A. Vijayalakshmi, and Prabha Elizabeth Varghese. "Crop for Est - Crop Forecasting and Estimation. Crop Yield Estimation and Profitability Analysis for Precision Agriculture." In 2024 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2024. https://doi.org/10.1109/icscan62807.2024.10893947.

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Cabuhayan, Jasmine Rose, Hannah Dela Cruz, Angeline Jores, et al. "ValueTrix: A Mobile Application for Inventory Management with Optical Character Recognition (OCR) Integration and Profitability Forecasting." In 2024 9th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2024. https://doi.org/10.1109/icces63552.2024.10859814.

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Blomberg, Jeanette, Neil Boyette, Anca Chandra, et al. "Forecasting Service Profitability." In 2014 IEEE International Conference on Services Computing (SCC). IEEE, 2014. http://dx.doi.org/10.1109/scc.2014.56.

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Galvao, Marta, and Roberto Henriques. "Forecasting model of a movie's profitability." In 2018 13th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2018. http://dx.doi.org/10.23919/cisti.2018.8399184.

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Diaz, Suhail Felicia, Luigi Alfonso Saputelli, Maria Angela Capello, Herminio Passalacqua, and Elvis Hernandez-Perdomo. "Forecasting Asset Lifecycle Profitability Through Energy Efficiency and CO2 Utilization Initiatives." In SPE EuropEC - Europe Energy Conference featured at the 83rd EAGE Annual Conference & Exhibition. SPE, 2022. http://dx.doi.org/10.2118/209666-ms.

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Abstract Under a new energy landscape, oil and gas operators are more focused on energy efficiencies to satisfy global Climate Change initiatives driven by the Paris Agreement (COP21), and pursuing SDG13, the United Nations Sustainable Development Goal 13, Climate Change. The new approach influences production predictions associated with energy balances and GHG emissions. Estimating the initial baseline and forecasting CO2 emissions along the hydrocarbon value chain is the first step to address Sustainable Development Strategy (SDS) goals and build a carbon-free future for new generations to c
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Diaz, Suhail Felicia, Luigi Alfonso Saputelli, Maria Angela Capello, Herminio Passalacqua, and Elvis Hernandez-Perdomo. "Forecasting Asset Lifecycle Profitability Through Energy Efficiency and CO2 Utilization Initiatives." In SPE EuropEC - Europe Energy Conference featured at the 83rd EAGE Annual Conference & Exhibition. SPE, 2022. http://dx.doi.org/10.2118/209666-ms.

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Abstract Under a new energy landscape, oil and gas operators are more focused on energy efficiencies to satisfy global Climate Change initiatives driven by the Paris Agreement (COP21), and pursuing SDG13, the United Nations Sustainable Development Goal 13, Climate Change. The new approach influences production predictions associated with energy balances and GHG emissions. Estimating the initial baseline and forecasting CO2 emissions along the hydrocarbon value chain is the first step to address Sustainable Development Strategy (SDS) goals and build a carbon-free future for new generations to c
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Frate, Guido Francesco, Lorenzo Ferrari, and Umberto Desideri. "Impact of Forecast Uncertainty on Wind Farm Profitability." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91523.

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Abstract The great amount of support schemes that initially fueled the fast, and often uncontrollable, Renewable Energy Sources (RESs) growth have been strongly reduced or revoked in many countries. Currently, the general trend is to try to equate the RESs to the traditional power plants. From the energy market point of view, this entails exposing the RESs more to the market competition and mechanics. This could be done, for example, requiring the stochastic RESs to submit a production schedule in advance and to be financially responsible for any deviation from this. This could push the Wind F
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Pejović, Biljana, Dragana Trifunović, and Aleksandra Živaljević. "CASH FLOW FORECASTING FOR INTERNATIONAL PROJECTS IN THE PROCESS OF CAPITAL BUDGETING DURING THE COVID-19." In Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/itema.2020.129.

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By predicting cash flows in the capital budgeting procedure, the profitability of an investment at the international level is determined in advance. Although investing globally provides greater opportunities for earnings, cost reduction and business diversification, all risks posed by international business must be considered when choosing a discount rate. In addition to the risks inherent in cross-border business such as exchange rate risk, country risk, the risks caused by the pandemic crisis, which relate primarily to measures taken by states to protect the population by introducing quarant
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Ifalade, Oluwajuwon, and Opeyemi Adeleke. "Driving Profitability in Oil and Gas production Operations by Leveraging on Business Process Automation Solutions: The AI Journey." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/221760-ms.

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Abstract The Oil and Gas industry, traditionally non-digital native, is experiencing a significant uptick in the adoption of technology throughout its value chain. This paper unveils a compelling use case of the Microsoft Power series—Power BI, specifically—in revolutionizing reporting, streamlining approval processes, and optimizing for maximum economic outcomes. NNPC E &amp; P Limited (NEPL) is the upstream operating subsidiary of the national oil company, NNPC Limited. This role presents a unique challenge of managing assets across various operational models. This raises the question of fin
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Nwankwo, Kenechukwu, Adeboye Adeyinka, Adagogo Jaja, et al. "Optimization Strategy for Producing a Low Permeability Non-Associated Gas Reservoir." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/221761-ms.

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Abstract Planning a well to drain low permeability non associated gas reservoirs is challenging especially when, production from existing wells from other reservoirs has started declining and the need to sustain gas volume contract requirement becomes imperative. The fundamental expectation is to demonstrate that product volumes add up to an acceptable stipulated economic standard to approve or endorse project execution. Commitment to Flow Assurance management (surface and subsurface) is also paramount while optimizing all other objective functions. This paper reviews the optimization strategy
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Reports on the topic "Forecasting Profitability"

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Rosenzweig, Mark, and Christopher Udry. Forecasting Profitability. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19334.

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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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You might also be interested in the extended bibliographies on the topic 'Forecasting Profitability' for particular source types:
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