Relevant bibliographies by topics / Forecast net profit

Contents

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

Academic literature on the topic 'Forecast net profit'

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

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Journal articles on the topic "Forecast net profit"

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Tsvil, Mariya, and D. Rozhkova. "ECONOMETRIC ANALYSIS OF GAZPROM'S NET PROFIT." Science & World 2023, no. 4 (2023): 91–95. http://dx.doi.org/10.26526/2307-9401-2023-4-91-95.

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Oil and gas revenues make up the largest part of the state budget revenues. This article presents an econometric analysis of the net profit of Gazprom PJSC, how the net profit is formed based on the volume of gas produced. The forecast values of net profit for 2022 and 2023 have been compiled. In addition, the conclusion concludes about the features of the dynamics of these indicators
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Khassanov, Adil. "The Impact of Corporate Governance on the Cost of Equity for Russian Companies in the Ohlson Model." Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 15, no. 1 (2021): 5–18. http://dx.doi.org/10.17323/j.jcfr.2073-0438.15.1.2021.5-18.

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The purpose of this paper is to identify key indicators of corporate governance that affect the market value of Russian companies. To this end, we examine the possibility of modifying the Ohlson model of evaluating stock price dynamics in public companies, by adding corporate governance variables that may affect market value.
 The study consists of the following stages: the key points of the Ohlson economic model are described, empirical works that demonstrate corporate governance as a factor in assessing the value of companies are presented, and the significance of the modified Ohlson mo
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Fedotova, G. V., Yu A. Kapustina, Yu I. Sigidov, G. K. Dzhancharova, R. M. Lamzin, and Tsitsige. "Application of neurointelligence technology in predicting the development of agribusiness." IOP Conference Series: Earth and Environmental Science 1112, no. 1 (2022): 012031. http://dx.doi.org/10.1088/1755-1315/1112/1/012031.

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Abstract Neural networks have proven to be highly adaptable to various tasks associat-ed with large data sets and their processing in order to obtain new knowledge and data for subsequent planning of the development of various systems. Neural networks are used not only in the processing of large data sets, but also in the construction of predictive models. In this article, we built a neural net-work model for calculating and forecasting profit index of the agro-industrial complex (AIC) of Russia, on the basis of aggregated input factor parameters, reflecting the potential of the industries. In
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Lomakin, Nikolay I., Tatyana I. Kuzmina, Maxim S. Maramygin, et al. "HIERARCHICAL CLUSTERIZATION AND DEEP LEARNING MODEL RANDOM FOREST OF BANKS’ STABILITY UNDER RISK CONDITIONS." Krasnoyarsk Science 13, no. 1 (2024): 88–102. http://dx.doi.org/10.12731/2070-7568-2024-13-1-235.

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Certain theoretical aspects of the stability of Russian banks under risk conditions have been studied. The relevance is due to the fact that in conditions of market uncertainty and risk, approaches to ensure the stability of banks using artificial intelligence are increasingly being used. The goal is to identify patterns between the characteristics of Assets and ROA (Return on Assets), an indicator of return on assets, and obtain a forecast value of Sberbank’s net profit. The result of the study was hierarchical clustering, as well as the generated Deep Learning model Random Forest, which calc
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Chen, Tianyi. "Financial Analysis and Net Profit Prediction about Shanghai Jahwa Corporation." BCP Business & Management 23 (August 4, 2022): 1–10. http://dx.doi.org/10.54691/bcpbm.v23i.1328.

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Implementing financial analysis by financial ratios is a reliable approach to comprehend a firm’s condition. Besides that, Dupont analysis is a way which regards return on equity as the core ratio of the system and decompose the core into an equation that consists of three other ratios. Forecast of net profit can assist investors in making investment decision. In this work, representative financial ratios are selected and divided into four groups that indicate four main abilities severally. Line charts are produced to show variation tendency of the enterprise’s four main abilities. Dupont anal
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Giuliani, Matteo, Louise Crochemore, Ilias Pechlivanidis, and Andrea Castelletti. "From skill to value: isolating the influence of end user behavior on seasonal forecast assessment." Hydrology and Earth System Sciences 24, no. 12 (2020): 5891–902. http://dx.doi.org/10.5194/hess-24-5891-2020.

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Abstract. Recent improvements in initialization procedures and representation of large-scale hydrometeorological processes have contributed to advancing the accuracy of hydroclimatic forecasts, which are progressively more skillful over seasonal and longer timescales. These forecasts are potentially valuable for informing strategic multisector decisions, including irrigated agriculture, for which they can improve crop choices and irrigation scheduling. In this operational context, the accuracy associated with the forecast system setup does not necessarily yield proportional marginal benefit, a
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An-Vo, Duc-Anh, Kate Reardon-Smith, Shahbaz Mushtaq, David Cobon, Shreevatsa Kodur, and Roger Stone. "Value of seasonal climate forecasts in reducing economic losses for grazing enterprises: Charters Towers case study." Rangeland Journal 41, no. 3 (2019): 165. http://dx.doi.org/10.1071/rj18004.

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Seasonal climate forecasts (SCFs) have the potential to improve productivity and profitability in agricultural industries, but are often underutilised due to insufficient evidence of the economic value of forecasts and uncertainty about their reliability. In this study we developed a bio-economic model of forecast use, explicitly incorporating forecast uncertainty. Using agricultural systems (ag-systems) production simulation software calibrated with case study information, we simulated pasture growth, herd dynamics and annual economic returns under different climatic conditions. We then emplo
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Xiong, Wanjun. "A Financial Valuation and Forecast of Changan Automobile." Advances in Economics, Management and Political Sciences 146, no. 1 (2025): 132–40. https://doi.org/10.54254/2754-1169/2024.ld19069.

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Changan Automobile, one of Chinas largest automotive groups, boasts a longstanding legacy and a substantial presence in the global automotive market. This paper provides a comprehensive analysis of Changans strategic initiatives, diverse market segments, and forecasts for production, sales, operating income, and net profit growth over the coming years. The company's commitment to electric vehicles (EVs) and sustainable practices positions it as a key player in the competitive automotive landscape. With a focus on innovation and adapting to market demands, Changan has experienced a favorable gr
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Lomakin, N. I., M. S. Maramygin, A. A. Polozhentsev, N. T. Shabanov, S. A. Naumova, and M. K. Starovoytov. "RF Deep Learning Model "Random Forest" for Forecasting Organizational Profit in the Digital Economy." Mezhdunarodnaja jekonomika (The World Economics), no. 11 (November 30, 2023): 824–39. http://dx.doi.org/10.33920/vne-04-2311-06.

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The relevance of the study lies in the fact that in modern conditions, artificial intelligence systems are increasingly used to support management decisions regarding the formation of an organization’s development strategy and other tasks. The purpose of the study is to forecast the profit of a credit institution using the Random Forest Regressor method to support management decision-making in a digital ecosystem. Among the methods in the presented work, the deep learning model "Random Forest" (RF — random forest), a multivariate regression model based on artificial intelligence, and the Graph
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Lugachev, M. I., N. V. Ulianova, and K. G. Skripkin. "New Approaches to the Interpretation of Balance in the Digital Economy." Statistics and Economics 17, no. 3 (2020): 25–36. http://dx.doi.org/10.21686/2500-3925-2020-3-25-36.

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The purpose of the article is to theoretically prove the possibility of generating forecast information in the balance-sheet regarding profit indicators, net inflow of operating money and financial capital. According to the authors, the system of these indicators is revealed in dynamics, thus reflecting the impact of profit on the financial condition of the organization. A logical and accounting balance-sheet relationship is established between actual and forecast indicators that characterize the financial condition in the past and future. By analyzing the processes in the operating cycle, the
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Dissertations / Theses on the topic "Forecast net profit"

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Колосок, Світлана Іванівна, Светлана Ивановна Колосок, Svitlana Ivanivna Kolosok та Є. Е. Коротовських. "Дослідження ефективності методів прогнозування прибутку підприємства". Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/31158.

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В умовах ринкової економіки одержання позитивного фінансового результату є безпосередньою метою будь-якого комерційного підприємства. Позитивним фінансовим результатом є прибуток. Прибуток відображає результати підприємницької діяльності, ефективність виробництва, обсяг та якість продукції. Також прибуток виконує стимулюючу функцію тому, що він впливає на формування доходів підприємства та є джерелом фінансування його розвитку. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/31158
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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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Book chapters on the topic "Forecast net profit"

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Lapkhanov, Erik, and Dmytro Kabachenko. "PECULIARITIES OF THE NET PRESENT VALUE AND PROFIT INDEX CALCULATIONS USING CONTINIOUS FUNCTIONS AND DIFFERENTIAL EQUATIONS MODELS." In Traditional and innovative approaches in economics: theory, methodology, practice. Publishing House “Baltija Publishing”, 2024. http://dx.doi.org/10.30525/978-9934-26-407-8-25.

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Estimation of the investment business projects efficiency is a key stage in business planning. Considering this, there is a problem of ensuring the forecast accuracy of business project implementation from the start to a certain time when profitability reaches the expected value. Given the stochastic nature of the discount index components in the modern economic environment, one of the approaches for improving their forecast accuracy at a certain time interval is to use continuous functions. In turn, mathematical models that use such functions are developed on the basis of differential equatio
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Demirel, Engin, and Sibel Yilmaz Turkmen. "Currency and Interest Rate Effect on Financial Ratios." In Operations and Service Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3909-4.ch064.

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The purpose of this study is to analyze the effects of currency and interest rates on selected financial ratios of technology firms. In a developing country, as an economic indicator, currency and interest rates have crucial impact on technology firms' financial statements. The authors selected financial ratios from seven technology companies that were included in the technology index on Istanbul Stock Exchange (ISE) between the years 2001 and 2010. Findings suggest that Dollar and Euro-Turkish Lira currency affect the current ratio, Euro-Turkish Lira currency only affects the acid-test ratios
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Demirel, Engin, and Sibel Yilmaz Turkmen. "Currency and Interest Rate Effect on Financial Ratios." In Global Strategies in Banking and Finance. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4635-3.ch026.

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The purpose of this study is to analyze the effects of currency and interest rates on selected financial ratios of technology firms. In a developing country, as an economic indicator, currency and interest rates have crucial impact on technology firms’ financial statements. The authors selected financial ratios from seven technology companies that were included in the technology index on Istanbul Stock Exchange (ISE) between the years 2001 and 2010. Findings suggest that Dollar and Euro-Turkish Lira currency affect the current ratio, Euro-Turkish Lira currency only affects the acid-test ratios
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D’Souza, Edward, and Ed White. "Demand Forecasting for the Net Age." In Global Integrated Supply Chain Systems. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-611-2.ch003.

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Picture this. The year is 2025. A customer is watching a new razor blade advertisement on interactive TV. The customer clicks to approve the purchase. When the order is received by the vendor, demand forecasting systems match customer experience data and integrate parameters—frequency of usage, preference of color, style of hand grip, language spoken by the customer, font style for customer’s name to be engraved on the razor, and so forth—into the Global Integrated Supply Chain Systems (GISCS) process. The next interaction is the customer receiving the order with a six-month supply of blades i
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Trigos, Federico, and Eduardo Manuel López. "Programming Global Strategy to Maximize Net Income Modeling Legal Conditions and Corporate Values." In Operations and Service Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3909-4.ch020.

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Planning has always been a challenge for managers and decision makers. In particular, if the manufacturing facilities are located in several countries, significant differences in tax and legal requirements have to be taken into consideration during the process. Corporate policies regarding profit sharing schemes will also play a role in final income. This work proposes a production planning systematic approach based on mathematical programming models applied to income statements in order to allocate production for the next operating period of time taking into account the mathematical modeling
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Barbu, Marius C., Jörg Hasener, and Gregor Bernardy. "Modern Testing of Wood-Based Panels, Process Control, and Modeling." In Research Developments in Wood Engineering and Technology. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4554-7.ch003.

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The fast development of the wood-based panels industry during the last decades resulted in a substantially increased production capacity of manufacturing lines. The utilization of advanced manufacturing systems created a large output of different panel types with a production of more than 1,000 m3 per day on at least 300 days within a year. Therefore, it is important to take into account the new requirements for an on-line control of the manufacturing process. Only on-line Non-Destructive Testing (NDT) technologies are able to survey, detect, and forecast the quality of the raw materials, leve
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Moldoveanu, Mihnea. "Epistemology in Action: A Framework for Understanding Organizational Due Diligence Processes." In The Strategic Management of Intellectual Capital and Organizational Knowledge. Oxford University PressNew York, NY, 2002. http://dx.doi.org/10.1093/oso/9780195138665.003.0022.

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Abstract Organization A is considering whether or not to make a significant investment in a start-up company working in a new and quickly growing industry. The business plan put forth by the startup’s founders presents a series of forecasts and predictions of firm and market-level revenues and net income, which are in turn derived from a series of assumptions about the firm’s technology, the behavior of the market’s consumer base, and the costs of materials for the firm’s products. Together, these various propositions form the “business case” of the start-up-or the causal model-complete with a
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SARHAN, Özgür, Tuğba ATLI, and Funda GÜNDOĞAN. "İKLİM DEĞİŞİKLİĞİ VE TÜRKİYE HİDROELEKTRİK ENERJİ PLANLAMASI." In İKLİM DEĞİŞİKLİĞİ ÇERÇEVESİNDE SU KAYNAKLARININ MEVCUT DURUMU VE GELECEĞİ. TÜRKİYE BİLİMLER AKADEMİSİ, 2023. http://dx.doi.org/10.53478/tuba.978-625-8352-56-6.ch14.

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"Strategies and policies of the Ministry are based on the principles of ensuring energy supply security, diversifying energy resources and bringing domestic/renewable resources into the economy. In the first stage of this study, the share of hydroelectric power plants in Türkiye’s installed power and electricity production was examined, and the relationship between hydroelectric generation and seasonality was discussed and evaluated within the framework of short and long-term weather forecasts and precipitation projections. Due to the negative impact of climate change on the electrical energy
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Conference papers on the topic "Forecast net profit"

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Lopez-Basto, Erik, Eliana Lozano Sanchez, Samantha Eleanor Tanzer, and Andrea Ramirez. "System analysis and optimization of replacing surplus refinery fuel gas by coprocessing with HTL bio-crude off-gas in oil refineries." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.152452.

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This study evaluates the introduction of Carbon Capture and Utilization (CCU) process in two Colombian refineries, focusing on their potential to reduce CO2 emissions and their associated impacts under a scenario aligned with the Net Zero Emissions by 2050 Scenario defined in the 2023 IEA report. The work uses a MILP programming tool (Linny-R) to model the operational processes of refinery sites, incorporating a net total cost calculation to optimize process performance over five-year intervals. This optimization was constrained by the maximum allowable CO2 emissions. The methodology includes
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Xue, Pingwen, and Yuan Lei. "Net Profit Forecast Based on Improved Support Vector Machine." In 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA). IEEE, 2021. http://dx.doi.org/10.1109/icaica52286.2021.9497965.

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Rodriguez Castelblanco, A. X., E. Gildin, S. A. Cabrales, and A. L. Medaglia. "A Novel Decision-Making Framework for Waterflooding Optimization using Long and Short-Term Memory Models and Metaheuristics." In SPE Latin American and Caribbean Petroleum Engineering Conference. SPE, 2023. http://dx.doi.org/10.2118/213154-ms.

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Abstract Meeting future energy demands in the low-carbon emissions paradigm requires improved decision-making processes. Waterflooding plays a vital role in obtaining increased oil recovery factors and minimizing undesirable water production. However, waterflooding optimization involves costly well control management optimization methods especially when numerical simulation is used. Alternatives such as data-driven proxy modeling can overcome the computation complexity drawbacks. In this paper, we develop a decision-making waterflooding framework, where an optimization component has embedded f
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Mogollon, Jose Luis, Edwin Tillero, Carlos Calad, and Larry Lake. "Comparative Analysis of Data-Driven, Physics-Based and Hybrid Reservoir Modeling Approaches in Waterflooding." In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210373-ms.

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Abstract Hydrocarbon production optimization is essential in pursuing the best scenarios for economic outcomes. But because of complex and multi-dimensional nature of production processes, thousands of scenarios are possible. Extensive data collection may allow uncovering patterns still unidentified. With on-site computing power increasing, cloud availability, and artificial intelligence evolution, mathematical optimization methods are becoming powerful and accessible. Data type-tailored models are implemented for history matching and prediction of operational efficiency of the asset. This pap
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Bruce, Jonathon, Renat Yulmetov, Tony King, Freeman Ralph, and Adel Younan. "Development of Iceberg Profiling Technology." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62950.

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Abstract Iceberg management on the Grand Banks of Newfoundland, Canada is currently carried out without knowledge of the underwater shape of the iceberg. An iceberg profiling system is being developed to integrate the rapid generation of 3D iceberg shape data with a collection of tools that utilize the data to provide recommendations, intended to improve iceberg management effectiveness. The intent is for the system to be operated by vessel crew with minimal training. The system utilizes a LiDAR and a pole mounted multibeam sonar to profile the iceberg sail and keel, respectively. A vessel equ
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Stratila, Alina, and Ina Gumeniuc. "Prospects for growth in labor productivity of construction personnel after the Covd pandemic 19." In 4th Economic International Conference "Competitiveness and Sustainable Development". Technical University of Moldova, 2022. http://dx.doi.org/10.52326/csd2022.20.

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The serious economic consequences of the COVD 19 pandemic are reflected in all activities of the national economy of the Republic of Moldova, including construction. In 2020, the activity of construction enterprises is characterized by a slowdown in the growth rate of sales revenues, a reduction in net profits, and a decrease in the average number of employees. Reaching the level of key economic indicators achieved by construction enterprises before the pandemic requires time and significant production stimulation. The key factor for the long-term development of enterprises is still the person
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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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Berry, Irene, Glen Merfeld, and Patrick Riley. "Mapping Energy Storage Physics to Application Economics." In ASME 2016 10th International Conference on Energy Sustainability collocated with the ASME 2016 Power Conference and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/es2016-59597.

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The success of grid scale energy storage hinges on our ability to solve real problems economically. By mapping energy storage physics to application economics, this paper offers a technology neutral look at how energy storage can solve real problems. A value analytics methodology was developed that combines the physics of energy storage, application power commands, and market-specific economic constructs. This approach evaluates and optimizes the value of energy storage for specific projects by providing insight into the tradeoffs between the lifecycle costs and revenues. These analytics calcu
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Pasturel, K., V. Barres-Montel, W. Harrar, and K. Watt. "An Integrated Technical Framework for Assessing Offshore Geothermal Opportunities in and Around Existing Oil and Gas Assets." In SPE Offshore Europe Conference & Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215504-ms.

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Abstract This paper provides an overview of a Geothermal Assessment Project (GAP) completed to assess the geothermal energy resource in and around an operational HPHT field on the UKCS. It demonstrates a new methodology to identify, assess and determine the amount of electrical power that might be realised from the geothermal resource and associated field infrastructure, and investigates both existing and future opportunities. Geothermal energy adoption into oil and gas net-zero portfolios remains relatively unexplored. This paper shares the results of the design and implementation of a novel
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Reports on the topic "Forecast net profit"

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Bonilla-González, Ricardo, Olga Lucía Acosta-Navarro, Roberto Steiner-Sampedro, et al. Report of the Board of Directors to the Congress of Colombia, March 2024. Banco de la República, 2024. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.03-2024.

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In 2023, the Colombian economy made progress in the macroeconomic adjustment required to achieve growth compatible with its productive capacity and external and price stability. This adjustment was reflected in the beginning of the convergence of inflation towards the target, which closed the year at 9.3%. This adjustment is an important step forward in the Board of Directors’ (BDBR) intention to drive inflation toward its target by mid-2025. Net foreign reserves increased and at the end of 2023 reached USD 59,608.3 million, and Banco de la República’s (the Central Bank of Colombia, Banrep) pr
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Rémy, Elisabeth, Romain Escudier, and Alexandre Mignot. Access impact of observations. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.8.

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The accuracy of the Copernicus Marine Environment and Monitoring Service (CMEMS) ocean analysis and forecasts highly depend on the availability and quality of observations to be assimilated. In situ observations are complementary to satellite observations that are restricted to the ocean surface. Higher resolution model forecasts are required by users of the CMEMS global and regional ocean analysis and forecasts. To support this with an efficient observational constrain of the model forecast via data assimilation, an increase observation coverage is needed, associated with an improved usage of
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Guevara-Castañeda, Diego Alejandro, Leonardo Villar-Gómez, Olga Lucía Acosta-Navarro, et al. Report of the Board of Directors to the Congress of Colombia, February 2025. Banco de la República, 2025. https://doi.org/10.32468/inf-jun-dir-con-rep-eng.01-2025.

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In 2024, the macroeconomic adjustment process continued, characterized by a sustained reduction in inflation that began in 2023 and a decline in the current account deficit of the balance of payments. This adjustment took place in the context of a contractionary monetary policy, with a gradual reduction in the monetary policy interest rate. GDP grew by 1.7%, driven by investment and consumption, while employment increased by 2.2%. Foreign reserves remained at adequate levels, and Banco de la República recorded a profit of COP 10,041 billion, benefiting from the returns on foreign reserves. Mac
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Mosello, Beatrice, Christian König, Emily Wright, and Gareth Price. Rethinking human mobility in the face of global changes. Adelphi research gemeinnützige GmbH, 2021. http://dx.doi.org/10.55317/casc010.

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Migration and displacement related to climate change have received increasing attention in the media, in research and among policymakers in recent years. A range of studies have produced extremely concerning statistics and forecasts about the potential scale of migration and displacement due to climate change now and in the future. For example, the Internal Displacement Monitoring Centre calculated that in 2019 alone almost 25 million people were displaced by disasters such as floods and tropical storms – three times the number displaced by conflict and violence (IDMC 2020a). The World Bank’s
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Monetary Policy Report - January 2023. Banco de la República, 2023. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr1-2023.

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1. Macroeconomic Summary In December, headline inflation (13.1%) and the average of the core inflation measures (10.3%) continued to trend upward, posting higher rates than those estimated by the Central Bank's technical staff and surpassing the market average. Inflation expectations for all terms exceeded the 3.0% target. In that month, every major group in the Consumer Price Index (CPI) registered higher-than-estimated increases, and the diffusion indicators continued to show generalized price hikes. Accumulated exchange rate pressures on prices, indexation to high inflation rates, and sever
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Report of the Board of Directors to the Congress of Colombia, July 2024. Banco de la República, 2025. https://doi.org/10.32468/inf-jun-dir-con-rep-eng.04-2024.

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In the first quarter of 2024, the figures of the National Administrative Department of Statistics (DANE in Spanish) showed that the economy achieved annual growth of 0.9%. Although this result was moderate, it confirmed the economy's recovery path. Monetary policy has played a critical role in containing inflationary pressures. This has allowed inflation to trend downwards, continuing into the first half of 2024. Net foreign reserves totaled USD 60,901 million as of 30 June 2024, a slight increase over the course of the year. For 2024, the profit of Banco de la República (the Central Bank of C
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