25 results on '"Price forecasts"'
Search Results
2. Thermal coal price forecasting via the neural network
- Author
-
Xiaojie Xu and Yun Zhang
- Subjects
Thermal coal ,Price forecasts ,Time series data ,Neural networks ,Machine learning technique ,Cybernetics ,Q300-390 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Thermal coal price forecasts represent an essential issue to investors and policy makers, given its importance as a strategic energy source. The current work aims at exploring usefulness of non-linear auto-regressive neural networks for this forecast problem based upon a data-set of closing prices recorded on a daily basis of thermal coal traded in China Zhengzhou Commodity Exchange during January 4, 2016 – December 31, 2020, which is an important financial index not sufficiently explored in the literature in terms of its price forecasts. Through testing a variety of model settings over algorithms, delays, hidden neurons, and data splitting ratios, the model that produces performance of good accuracy and stabilities is reached. Particularly, the model has five delays and ten hidden neurons and is constructed with the Levenberg-Marquardt algorithm based on the ratio of 80%–10%–10% of the data for training–validation–testing. It leads to relative root mean square errors of 1.48%, 1.49%, and 1.47% for the training, validation, and testing phases, respectively. Usefulness of neural networks for the price forecast issue of thermal coal is demonstrated. Forecast results here could serve as standalone technical forecasts and be combined with other forecasts when conducting policy analysis that involves forming perspectives of trends in prices.
- Published
- 2022
- Full Text
- View/download PDF
3. Retrospective Evaluation of Appliance Price Trends
- Author
-
Dale, Larry
- Subjects
Energy conservation, consumption, and utilization ,Energy planning, policy and economy ,appliance efficiency standards ,price forecasts - Abstract
Real prices of major appliances (refrigerators, dishwashers, heating and cooling equipment) have been falling since the late 1970s despite increases in appliance efficiency and other quality variables. This paper demonstrates that historic increases in efficiency over time, including those resulting from minimum efficiency standards, incur smaller price increases than were expected by Department of Energy (DOE) forecasts made in conjunction with standards. This effect can be explained by technological innovation, which lowers the cost of efficiency, and by market changes contributing to lower markups and economies of scale in production of higher efficiency units. We reach four principal conclusions about appliance trends and retail price setting: 1. For the past several decades, the retail price of appliances has been steadily falling while efficiency has been increasing. 2. Past retail price predictions made by DOE analyses of efficiency standards, assuming constant prices over time, have tended to overestimate retail prices. 3. The average incremental price to increase appliance efficiency has declined over time. DOE technical support documents have typically overestimated this incremental price and retail prices. 4. Changes in retail markups and economies of scale in production of more efficient appliances may have contributed to declines in prices of efficient appliances.
- Published
- 2008
4. Fuzzy Model Applied in Risk Perception and Price Forecasts.
- Author
-
Yang, Que and Wang, Zongrun
- Subjects
FUZZY logic ,RISK perception ,PRICE indexes ,FORECASTING ,DECISION making in investments - Abstract
This study applies a fuzzy model to simulate an evolution of price forecasts among market investors based on their own risk perception and other multiple criteria decision. According to this imitation, we design a capital market laboratory experiment on the basis of Smith et al. (Econometrica 56:1119–1151, 1988). The experiment sets two groups of experiments to test the investor's market behaviour under the influence of risk perception. The results show that there is no significant difference in changing prices under the influence of perceived systemic risks and non-systemic risks. However, when market returns become more uncertain, investors' perceptions of risk significantly affect their trading behaviour. Furthermore, we divide the investors' investment behaviour into different investment strategies and observe the trading behaviours of the investors with risk perception. In addition, extended analysis shows that under a risk environment, a decline in asset price is related to the amount of cash and assets held by the investors, and the assets purchased in the previous period has no substantial relationship with the asset price in the last period and the forecast accuracy of the investment asset price in the last period. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
5. Pricing IPOs, Using Two-Stage DEA to Track their Financial Fundamentals : A Research Paper
- Author
-
Abad, C., Thore, S., and Thore, Sten A., editor
- Published
- 2002
- Full Text
- View/download PDF
6. Pre‐bid building price forecasting accuracy: price intensity theory
- Author
-
GUNNER, JOHN and SKITMORE, MARTIN
- Published
- 1999
- Full Text
- View/download PDF
7. Computational Spatiotemporal Modeling of Southern California Home Prices
- Author
-
Kaboudan, Mak, Chen, Shu-Heng, book editor, Kaboudan, Mak, book editor, and Du, Ye-Rong, book editor
- Published
- 2018
- Full Text
- View/download PDF
8. Predicción de precios de productos de Pinus spp. con modelos ARIMA.
- Author
-
Broz, Diego R. and Viego, Valentina N.
- Subjects
- *
PINE , *MOVING average process , *FORESTS & forestry , *RAW materials , *FOREST management , *AUTOREGRESSION (Statistics) - Abstract
Northeastern Argentina is the forest area of greater importance in the country, concentrated in the provinces of Misiones and Corrientes, with Pinus spp. L., the species with higher production, which supplies raw materials to a large number of industrial activities. This highlights the need to implement forest management tools to make better decisions in investment and management of forests. Forest management models often use different techniques, including simulation, based on operational research, and econometric tools. Usually, the econometric techniques tend to be used for projections of prices and returns. An important class of models with longitudinal data is the family of Autoregressive moving average models, known as ARIMA, by its acronym in English, usually applied to describe trends and generate predictions from values passed from the series. In particular, the variation of prices of forest products is one of the main sources of uncertainty in forest planning. Nevertheless, the application of techniques and prediction models in the forestry area, especially at the South American region is still low. ARIMA Models exhibit good predictive short-term performance, although they lose ability to forecast in distant horizons and have some other disadvantages. Various autoregressive moving average models (ARIMA) based on Box-Jenkins methodology are proposed to predict future prices of four products for Pinus spp manufactured in Northeast Argentina. Estimations were carried out with time series of prices of the four products covering the period July 2002-September 2013. The proposed models predict future prices with forecast errors between 0,9% and 1,8%. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
9. Application of information-gap decision theory to risk-constrained self-scheduling of GenCos.
- Author
-
Mohammadi-Ivatloo, Behnam, Zareipour, Hamidreza, Amjady, Nima, and Ehsan, Mehdi
- Subjects
- *
ELECTRIC utilities research , *ELECTRIC power production research , *DECISION theory , *UNCERTAINTY , *ELECTRIC power systems research - Abstract
In a competitive electricity market, a generation company (GenCo) optimizes its operation schedules, referred to as self-scheduling, in order to maximize its profit. However, various sources of uncertainty, such as market price fluctuations or forced outage of generating units, may impact the GenCo's profit. In this paper, a non-probabilistic information-gap model is proposed to model the uncertainties in short-term scheduling of a GenCo. The self-scheduling problem is formulated for risk-neutral, risk-averse, and risk-seeker GenCos. Robustness of the decisions against low market prices are evaluated using a robustness model. Furthermore, windfall higher profit due to unpredicted higher market prices is modeled using an opportunity function. The proposed models are applied to a 54-unit thermal GenCo. [ABSTRACT FROM PUBLISHER]
- Published
- 2013
- Full Text
- View/download PDF
10. Understanding analysts forecasts.
- Author
-
Louth, R. J., Joos, P., Satchell, S. E., and Weyns, G.
- Subjects
BUSINESS forecasting ,RISK management in business ,ESTIMATION theory ,STOCHASTIC processes ,BUSINESS finance - Abstract
The purpose of this paper is to model analysts' forecasts. The paper differs from the previous research in that we do not focus on how accurate these predictions may be. Accuracy may indeed be an important quality but we argue instead that another equally important aspect of the analysts' job is to predict and describe the impact of jump events. In effect, the analysts' role is one of scenario prediction. Using a Bayesian-inspired generalised method of moments estimation procedure, we use this notion of scenario prediction combined with the structure of the Morgan Stanley analysts' forecasting database to model normal (base), optimistic (bull) and pessimistic (bear) forecast scenarios for a set of reports from Asia (excluding Japan) for 2007-2008. Since the estimation procedure is unique to this paper, a rigorous derivation of the asymptotic properties of the resulting estimator is also provided. [ABSTRACT FROM AUTHOR]
- Published
- 2010
- Full Text
- View/download PDF
11. ARIMA Models of the Price Level: An Assessment of the Multilevel Adaptive Learning Process in the USA.
- Author
-
Dua, Pami and Ray, Subhash C.
- Subjects
BOX-Jenkins forecasting ,PRICE inflation ,PRICE levels ,PRICE regulation ,ESTIMATES - Abstract
This paper estimates the ARIMA processes for the observed and expected price level corresponding to the three-level adaptive expectations model proposed by Jacobs and Jones (1980). These univariate processes are then compared with the best-fit ARIMA model. The results indicate that the best-fit model for the observed price level is a restricted version of the two-level adaptive learning process specified in terms of prices, suggesting a simple adaptive rule in the inflation rate. A comparison of the time-series forecasts from the best-fit model with the mean responses to the ASA-NBER survey shows no significant difference in their accuracy. The time-series forecasts are, however, conditionally efficient. The best-fit ARIMA model for expected prices measured by the ASA-NBER consensus forecasts does not correspond to any version of the Jacobs and Jones model. [ABSTRACT FROM AUTHOR]
- Published
- 1992
- Full Text
- View/download PDF
12. Behavioral Uncertainty and the dynamics of traders' confidence in their Price forecasts
- Author
-
Nobuyuki Hanaki, Ryuichiro Ishikawa, Eizo Akiyama, Groupe de Recherche en Droit, Economie et Gestion (GREDEG), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Faculty of Engineering, Information and Systems [Tsukuba], Université de Tsukuba = University of Tsukuba, School of International Liberal Studies, Waseda University, CODIREM, ANR-15-ORAR-0004,BEAM,Analyses comportementales et exp?rimentales en macro-finance(2015), and ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015)
- Subjects
Economics and Econometrics ,Control and Optimization ,experimental asset markets ,Interval (mathematics) ,Positive correlation ,interval elicitation ,0502 economics and business ,Econometrics ,Economics ,behavioral uncertainty JEL Code: C90 ,050207 economics ,JEL: C - Mathematical and Quantitative Methods ,050208 finance ,Actuarial science ,JEL: D - Microeconomics ,Applied Mathematics ,05 social sciences ,Asset market ,[SHS.ECO]Humanities and Social Sciences/Economics and Finance ,JEL: D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D84 - Expectations • Speculations ,D84 ,Dynamics (music) ,Value (economics) ,JEL: C - Mathematical and Quantitative Methods/C.C8 - Data Collection and Data Estimation Methodology • Computer Programs/C.C8.C80 - General ,Dividend ,Negative correlation ,Price forecasts - Abstract
International audience; By how much does the presence of behavioral uncertainty in an experimental asset market reduce subjects' confidence in their price forecasts? An incentivized interval forecast elicitation method is employed to answer this question. Each market consists of six traders, and the value of dividends is known. Two treatments are considered: six human traders (6H), and one human interacting with five computer traders whose behavior is known (1H5C). We find that while the deviation of the initial price forecasts from fundamental value is smaller in the 1H5C treatment than in the 6H treatment, albeit not statistically significantly, the average confidence regarding the forecasts is not. We further analyze the relationships between subjects' confidence in their forecasts and their trading behavior, as well as their trading performance, in the 6H treatment. While subjects' high confidence in their short-term forecasts shows a negative correlation with their trading performance, high confidence in their long-term forecasts shows a positive correlation with trading performance.
- Published
- 2017
- Full Text
- View/download PDF
13. Commodity Markets Outlook, January 2017 : Investment Weakness in Commodity Exporting Countries
- Author
-
World Bank Group
- Subjects
oil prices ,energy prices ,commodity prices ,fertilizers ,metals ,precious metals ,oil balance ,price forecasts ,price indices ,minerals ,commodity markets ,food prices ,investment climate - Abstract
Prices for most industrial commodities continued to rise in the fourth quarter from their lows in early 2016, while most agricultural prices declined. Crude oil prices are forecast to rise to $55 per barrel in 2017 from $43/bbl in 2016 following agreements among some Organization of the Petroleum Exporting Countries (OPEC) producers and non-OPEC producers to limit output in the first half of 2017. Metals prices are projected to rise 11 percent as a result of supply constraints, including large lead and zinc mines closures. Agricultural commodities prices are anticipated to rise slightly in 2017, with increases in oils and meals and raw materials, offset by declines in grains following favorable weather conditions in Europe, North America, and Central Asia. This edition of Commodity Markets Outlook analyzes the recent investment weakness in commodity-exporting emerging market and developing economies (EMDEs) and concludes that the deceleration reflects elevated uncertainty, deteriorated terms of trade, and increased private debt burdens.
- Published
- 2017
14. Commodity Markets Outlook, July 2016 : From Energy Prices to Food Prices
- Author
-
World Bank Group
- Subjects
energy prices ,commodity prices ,price forecasts ,price indices ,commodity markets ,food prices - Abstract
Most commodity price indexes rebounded in the second quarter of 2016, continuing their upward climb from January lows on improved market sentiment and tapering supplies. Oil prices jumped by more than a third due to supply outages and strong demand. Given this rebound and expected reduction in inventories during the second half of the year, the crude oil price forecast for 2016 is being raised to 43 dollars per barrel (bbl) from 41 dollars per bbl in the April assessment, still a 15 percent drop from 2015. Metals prices are projected to decline 11 percent in 2016, a slightly larger drop than anticipated in April, mainly driven by an ongoing surplus in the copper market. Agricultural prices for 2016 have been revised slightly upwards due to weather patterns in South America, but are still expected to register a marginal decline from last year. A large upward revision for precious metal prices of more than 8 percentage points versus the April assessment reflects the increased demand for safe haven assets. For 2017, a modest recovery is projected for most commodities as demand strengthens and supply tightens. This issue of the Commodity Markets Outlook examines the implications of low energy prices for food prices. It finds that, given the energy-intensive nature of agriculture, high energy prices were an important driver of the post-2006 surge in agricultural prices. Over 2011-2016, lower energy prices are estimated to account for up to one-third of the projected 32 percent decline in prices of grains and soybeans.
- Published
- 2016
15. Commodity Markets Outlook, April 2016 : Resource Development in an Era of Cheap Commodities
- Author
-
World Bank Group
- Subjects
trade balances ,coal ,fertilizers ,precious metals ,cotton stocks ,price forecasts ,gold production ,coffee prices ,metals and minerals ,crude oil price ,consumption ,price indices ,commodity markets ,energy ,agriculture - Abstract
Most commodity price indexes rebounded in February-March from their January lows on improved market sentiment and a weakening dollar. Still, average prices for the first quarter fell compared to the last quarter of 2015, with energy prices down 21 percent and non-energy prices lower by 2 percent. Given the recent rebound in oil prices and expected supply tightening in the second half of the year, the crude oil price forecast for 2016 has been raised to $41 per barrel (bbl), up from $37/bbl in the January assessment (and represents a drop of 19 percent from 2015.) Metals prices are projected to decline 8 percent, a slightly smaller drop than anticipated in January due to supply reductions. Agricultural prices have been revised marginally lower on signs of adequate harvests in major producers, and are expected to register a decline of 4 percent from last year. Looking to 2017, a modest price recovery is projected for most commodities as demand strengthens. Crude oil is projected to rise to $50/bbl as the market moves into balance. This issue of the Commodity Markets Outlook examines the implications of resource development in an era of lower commodity prices and concludes that ambitious improvements in governance and sounder macroeconomic policies are required to mitigate delays and risks.
- Published
- 2016
16. Commodity Markets Outlook, January 2016
- Author
-
World Bank Group
- Subjects
oil prices ,commodity prices ,forecasts ,global demand ,education ,commodity consumption ,price forecasts ,oil market ,commodity trade balances ,economic outlook ,health care economics and organizations - Abstract
The World Bank is lowering its 2016 forecast for crude oil prices to $37 per barrel in its latest Commodity Markets Outlook report from $51 per barrel in its October projections. The lower forecast reflects a number of supply and demand factors. These include sooner-than-anticipated resumption of exports by the Islamic Republic of Iran, greater resilience in U.S. production due to cost cuts and efficiency gains, a mild winter in the Northern Hemisphere, and weak growth prospects in major emerging market economies, according to the World Bank’s latest quarterly report.
- Published
- 2016
17. RESEARCH: Key takeaways from the latest Base Metals Market Tracker.
- Author
-
Moore, James, Adams, William, Cole, Andrew, Mikanikrezai, Boris, and Cao, Yang
- Subjects
METALS ,COPPER ,TIN ,COPPER prices ,ZINC - Abstract
The latest forecasts from Fastmarkets' team of base metals analysts are ready to view, including revisions to our copper, tin and zinc demand outlooks. We have also marked to market our copper and nickel price forecasts. [ABSTRACT FROM AUTHOR]
- Published
- 2020
18. Key takeaways from the latest Base Metals Market Tracker.
- Author
-
Moore, James, Adams, William, Cole, Andrew, Mikanikrezai, Boris, and Cao, Yang
- Subjects
METALS ,SUPPLY chain disruptions - Abstract
The latest forecasts from Fastmarkets' team of analysts are ready to view. [ABSTRACT FROM AUTHOR]
- Published
- 2020
19. Commodity Markets Outlook, October 2015
- Author
-
World Bank Group
- Subjects
mining capacity ,global demand ,supply conditions ,commodity consumption ,price forecasts ,oil market ,food commodity prices ,commodity trade balances - Abstract
Ample supplies and weak demand, especially for industrial commodities, contributed to the continued slide in most commodity prices in the third quarter of 2015. Annual price forecasts are revised down for 2015 and 2016. Only a modest recovery is expected in 2016. This issue briefly analyzes the implications of the ongoing El Niño episode and the recent Nuclear Agreement with Iran for agricultural and energy markets, respectively. Although El Niño could be the strongest on record, its impact is likely to be predominantly local rather than global because world commodity markets are currently well supplied and spillovers from local markets to global prices are typically weak. Following Iran’s Nuclear Agreement, the country’s 40 million barrels in floating storage could be made available almost immediately upon sanctions being lifted; and, within a few months, Iran could increase its crude oil production toward pre-sanctions levels. The impact of Iranian exports on global oil and natural gas markets could be large over the longer term provided that Iran attracts the necessary foreign investment and technology to extract its substantial reserves.
- Published
- 2015
20. Commodity Markets Outlook, July 2015
- Author
-
World Bank Group
- Subjects
mining capacity ,global demand ,supply conditions ,commodity consumption ,price forecasts ,oil market ,food commodity prices ,commodity trade balances - Abstract
Most commodity prices declined in the second quarter of 2015 due to ample supplies and weak demand, especially in industrial commodities (Figure 1). One main exception was the price of crude oil which rebounded early in the quarter on stronger demand but has since weakened owing to a still large global surplus. These trends are expected to persist for the rest of the year, with a modest recovery in 2016 (Figure 2). This issue’s Special Focus looks at China’s and India’s commodity consumption patterns. It concludes that demand from China, and to a lesser extent India, significantly raised global demand for metals and energy—especially coal—and less so for food commodities. This pattern reflected the countries’ different growth models and the way in which consumption responds to income growth.
- Published
- 2015
21. The great plunge in oil prices: Causes, consequences, and policy responses
- Author
-
Baffes, John, Kose, M. Ayhan, Ohnsorge, Franziska, and Stocker, Marc
- Subjects
Q40 ,MARKET DEVELOPMENTS ,FUEL COSTS ,Q41 ,OIL MARKETS ,PEAK OIL ,NET OIL ,INVESTMENT ,Q43 ,DOMESTIC OIL ,PRICE SUBSIDIES ,macroeconomic implications ,INVENTORY ,DURABLE GOODS ,OIL SPILLS ,APPROACH ,INFLATION ,PRICE SUPPORT ,OIL EXPORTERS ,EMERGING MARKET ,OIL PRICE SPIKE ,EMPLOYMENT ,STOCKS ,OIL SUPPLY ,SUBSTITUTE ,health care economics and organizations ,FAIR ,FOSSIL ,PRICE STABILITY ,RENEWABLE ENERGY ,INVESTMENTS ,CRUDE OIL ,OIL PRODUCERS ,DIESEL ,BARREL OIL ,OIL EQUIVALENT ,STOCK ,OIL ,OPTIONS ,FINANCIAL MARKET ,GAS ,demand factors ,BALANCE ,ACTIVITIES ,FOSSIL FUELS ,OIL PRICE COLLAPSE ,E62 ,OIL IMPORTS ,OIL EXPLORATION ,OIL DEMAND ,PRICE INCREASES ,EMERGING MARKETS ,CONSUMPTION OF ENERGY ,FEEDSTOCK ,FINANCIAL MARKETS ,MERCHANDISE ,PRICING MECHANISM ,NATURAL GAS PRICES ,INVENTORIES ,MARKETS ,OIL PRODUCTS ,PRICES ,DRILLING ,PETROLEUM ,PRICE SPIKES ,DOMESTIC PETROLEUM ,LABOR MARKET ,AGRICULTURAL COMMODITIES ,OIL INDUSTRY ,DOMESTIC OIL PRODUCTION ,ELECTRICAL POWER ,OIL ACCOUNTS ,PRICING ,NUCLEAR ENERGY ,PRICING POLICIES ,PRODUCTS ,MARKET ,DEFLATION ,FOSSIL FUEL ,SUPPLY ,GAS PRICES ,CRUDE OIL PRODUCTION ,PRICE CHANGES ,LNG ,RECOVERABLE RESERVES ,COMMODITY PRICE ,NUCLEAR REACTORS ,BARRELS PER DAY ,OIL PRODUCER ,PRICE CHANGE ,DEMAND ,CLIMATE CHANGE ,ENERGY PRODUCTION ,FUEL ,SURPLUS ,PRODUCT ,ELECTRICITY ,ENERGY ,STABLE PRICES ,COAL ,WORLD OIL CONSUMPTION ,FUEL PRICES ,ENERGY CONSUMPTION ,OIL CONSUMPTION ,LIQUEFACTION ,RAW MATERIALS ,FUEL DEMAND ,AGGREGATE DEMAND ,unconventional oil production ,CAPITAL MARKETS ,2014 oil price decline ,QUALITY ENERGY ,GAS PROJECTS ,SUPPLIERS ,OIL PRICES ,MERCHANDISE EXPORTS ,ENERGY USE ,ENERGY PRICES ,AGRICULTURAL PRICES ,CRUDE OIL PRICE ,PRICE ,F40 ,OIL EXPORTS ,PRICE FLUCTUATIONS ,SUBSTITUTE PRODUCT ,MARKET CONDITIONS ,global output ,commodity prices ,FUELS ,CLEAN ENERGY ,POWER ,GASOLINE ,SUGARCANE ,TAX REVENUES ,EXPENDITURES ,OIL SHOCKS ,NATURAL GAS ,UTILITIES ,PETROLEUM EXPORTING COUNTRIES ,MARKET SHARE ,OIL OUTPUT ,ETHANOL ,ddc:330 ,OIL PRICE ,LABOR MARKETS ,AVERAGE PRICES ,OILS ,supply factors ,ENERGY COSTS ,E32 ,PRICE FORECASTS ,AVAILABILITY ,ENERGY PRODUCTS ,COST OF ENERGY ,OIL PRODUCTION ,DOMESTIC SUPPLY ,PRICE OF OIL ,ENERGY BILLS ,OIL COMPANIES ,NITROGEN ,PRICES OF ENERGY ,ENERGY SOURCES ,TAX POLICIES ,COFFEE PRICES ,global inflation ,VOLATILITY ,EXPENDITURE - Abstract
This note combines and distills existing and new research to inform discussion on the topical policy issue of oil prices. Following four years of relative stability at around $105 per barrel (bbl), oil prices have declined sharply since June 2014 and are expected to remain low for a considerable period of time. The drop in prices likely marks the end of the commodity supercycle that began in the early 2000s. Since the past episodes of such sharp declines coincided with substantial fluctuations in activity and inflation, the causes and consequences of and policy responses to the recent plunge in oil prices have led to intensive debates. This paper addresses four questions at the center of these debates, with particular emphasis on emerging market and developing economies: 1) How does the recent decline in oil prices compare with previous episodes? 2) What are the causes of the sharp drop and what is the outlook for oil price? 3) What are the economic and financial consequences? 4) What are the main policy implications? The decline in oil prices will lead to significant real income shifts from oil exporters to oil importers, likely resulting in a net positive effect for global activity over the medium term. However, several factors could counteract the global growth and inflation implications of the lower oil prices. These include weak global demand and limited scope for additional monetary policy easing in many countries. The disinflationary implications of falling oil prices may be muted by sharp adjustments in currencies and effects of taxes, subsidies, and regulations on prices. Regarding fiscal policy, the loss in oil revenues for exporters will strain public finances, while savings among oil importers could help rebuild fiscal space. Lower oil prices also present a window of opportunity to implement structural reforms. These include, in particular, comprehensive and lasting reforms of fuel subsidies, as well as energy taxes more broadly.
- Published
- 2015
22. Predicción de precios de productos de Pinus spp. con modelos ARIMA.
- Author
-
Broz, Diego Ricardo, Natividad Viego, Valentina, Broz, Diego Ricardo, and Natividad Viego, Valentina
- Abstract
En el noreste argentino se encuentra el polo forestal de mayor importancia del país, concentrado en las provincias de Misiones y Corrientes, siendo Pinus spp. L. la de mayor producción, las cuales abastecen a gran número de actividades industriales. Esto evidencia la necesidad de aplicar herramientas de gestión forestal para tomar mejores decisiones de inversión y manejo de los montes. Los modelos de gestión forestal suelen utilizar distintas técnicas, entre ellas simulación, basadas en investigación operativa, y econométricas. Generalmente, las técnicas econométricas suelen ser utilizadas para proyecciones de precios y retornos. Una clase importante de modelos con datos longitudinales es la familia de los modelos autorregresivos de media móvil, conocidos como ARIMA, por sus siglas en inglés, generalmente aplicados para describir tendencias y generar predicciones a partir de valores pasados de las series. En particular, la variación de precios forestales es una de las principales fuentes de incertidumbre en la planificación forestal. Sin embargo, es escasa aún la aplicación de técnicas y modelos de predicción en el área forestal, especialmente a nivel sudamericano. Los modelos ARIMA exhiben buen desempeño predictivo en el corto plazo, aunque pierden capacidad de pronóstico en horizontes alejados y presentan algunos otros inconvenientes. Se propone un modelo autorregresivo de media móvil (ARIMA) basado en la metodología de Box-Jenkins para predecir los precios de cuatro productos de Pinus spp. para el noreste argentino. Para ello se utilizan series temporales de precios correspondientes al periodo julio 2002-septiembre 2013. Los modelos propuestos predicen precios futuros con errores de predicción entre 0,9% y 1,8%., Northeastern Argentina is the forest area of greater importance in the country, concentrated in the provinces of Misiones and Corrientes, with Pinus spp. L., the species with higher production, which supplies raw materials to a large number of industrial activities. This highlights the need to implement forest management tools to make better decisions in investment and management of forests. Forest management models often use different techniques, including simulation, based on operational research, and econometric tools. Usually, the econometric techniques tend to be used for projections of prices and returns. An important class of models with longitudinal data is the family of Autoregressive moving average models, known as ARIMA, by its acronym in English, usually applied to describe trends and generate predictions from values passed from the series. In particular, the variation of prices of forest products is one of the main sources of uncertainty in forest planning. Nevertheless, the application of techniques and prediction models in the forestry area, especially at the South American region is still low. ARIMA Models exhibit good predictive short-term performance, although they lose ability to forecast in distant horizons and have some other disadvantages. Various autoregressive moving average models (ARIMA) based on Box-Jenkins methodology are proposed to predict future prices of four products for Pinus spp manufactured in Northeast Argentina. Estimations were carried out with time series of prices of the four products covering the period July 2002-September 2013. The proposed models predict future prices with forecast errors between 0,9% and 1,8%.
- Published
- 2014
23. Propuesta metodologica para la toma de decisiones en la comercializacion de manzana en Argentina
- Author
-
Leskovar, Mario, Gil, Jose M., and Kaabia, Monia Ben
- Subjects
Marketing ,FOS: Economics and business ,Demand and Price Analysis ,fruit warehouses ,Alto Valle de Rio Negro y Neuquen ,margenes ,prediccion de precios ,conservation cost ,price forecasts ,costes de conservacion ,almacenes frigorificos ,marketing margins - Abstract
El objectivo de este trabajo consiste en desarrollar una metodologia util que facilite a productores y almacienistas de las variedades tradicionales de manzana del Alto Valle de Rio Negro y Neuquen la toma de decisiones de comercializacion en un contecto de creciente incertidumbre sobre la evolucion de los precios. para ello, se analizan los costes de conservacion a lo largo de la campana y se comparan con los ingresos reales obtenidos y con los que se obtendrian a partir de rediccones de precios realizadas con modelos de series temporales son capaces de generar predicciones comparables en precision a las generadas por los agentes que trabajan en el sector, si bien estas ultimas son mejores conforme aumenta el horizonte de la prediccion. Finalmente, las decisiones que adoptan los productores en base a sus expectativas son similares a las que se hubiesen obtenido con los precios predichos, sugiriendo concentrar las ventas en los ultimos meses del ano...The aim of this paper is to provide a methodological framework to facilitate farmers and warehouses managers the adoption of marketing strategies, in an environment of increasing uncertainty about price evolution. In this paper we make a rigorous analysis of conservation costs along the marketing season and we compare them with revenues calculated using both real and forecasted prices. Results suggest a similar forecasting performance of time series models against experts forecasts, although the latter are better as the forecasting horizon lengthens. Time series forecasts also provide good results in terms of marketing margins and suggest concentrating sales in the last part of the marketing season just when market prices are higher. This is consistent with actual warehouses common practice.
- Published
- 2007
- Full Text
- View/download PDF
24. Building contract price forecasting: price intensity theory
- Author
-
Gunner, John C., Skitmore, Martin, Gunner, John C., and Skitmore, Martin
- Abstract
A theory of contract price forecasting bias is proposed based on the heuristic bias framework and with reference to the common practice of basing building price forecasts on the price per square metre of floor area or Price Intensity (PI). The main prediction of the theory, that high PI contracts will be underestimated and low PI contracts will be overestimated, is tested by a reanalysis of Singapore data and in comparison with previous work. It is concluded that PI theory may be necessary and sufficient to explain all systematic biases in contract price forecasts.
- Published
- 1999
25. Selected Marketing Topics Relating to Cotton and Oilcrops
- Author
-
Commodity Economics Division, Economic Research Service
- Subjects
Productivity Analysis ,sunflowerseed ,margarine ,soybean oil ,import penetration ,costs ,edible fats and oils refineries ,margins ,shippers ,variable costs ,sheeting ,apparel ,peanuts ,Research Methods/ Statistical Methods ,Marketing ,print cloth ,cotton textile imports ,Agricultural Finance ,International Relations/Trade ,cloth ,textiles ,corn ,cotton denim ,gins ,warehouse ,sunflower oil ,costs of production ,Production Economics ,meal and oil projections ,refining capacity ,breakeven prices ,Demand and Price Analysis ,fibers ,Crop Production/Industries ,cotton ,FOS: Economics and business ,compress ,storage capacity ,marketing costs ,increasing cost industry ,distribution ,flaxseed ,packing capacities ,Agribusiness ,acreage response ,barley ,investment ,price forecasts ,domestic consumption ,butter ,Agricultural and Food Policy ,soybeans ,textile trade ,knits ,sorghum ,fats and oils production ,Food Consumption/Nutrition/Food Safety ,USSR - Abstract
Articles included: Distribution of an Average Bale of U. S. Cotton (Edward H. Glade, Jr. and Anne P. Alderman) --- Changes in the U. S. Cotton Storage Industry (O. A. Cleveland, Jr. and Joseph L. Ghetti) --- Knit Cloth and Apparel Trade Patterns (John V. Lawler) --- Some Recent Trends in the Domestic Marketing System for Textile Fibers and Products (Ray S. Corkern) --- Cost of Merchandising U. S. Cotton, 1974/75 Season (Whitman M. Chandler, Jr. and Edward H. Glade, Jr.) --- Competitive Relationships Between Cotton and Other Crops, by Region, 1976 and 1977 (Sam Evans) --- Market Trends and Margins for Cotton Denim (Edward H. Glade, Jr.) --- The Impact of Cotton Textile Imports on the Domestic Market (Russell G. Barlowe and John V. Lawler) --- Gin Investment Costs in the United States (O. A. Cleveland, Jr. and Joseph L. Ghetti) --- The Decade Ahead for U. S. Soybeans (Duane Hacklander) --- U. S. Edible Fats and Oils Refining Capacities, 1975 (George W. Kromer and Stanley A. Gazelle) --- Views on the 1975/76 Sunflower Seed Situation in the Soviet Union (George W. Kromer) --- Costs of Production for Soybeans, Peanuts, and Flaxseed for 1974, 1975, and 1976 (Alan S. Walter and Gail D. Garst) --- Forecasting Retail Margarine Prices (Paul D. Velde and Stanley A. Gazelle)., This publication is a collection of selected articles dealing with current marketing topics relating to cotton and oilcrops. The purpose of these reprints is to provide, under one cover, a readily available source of marketing information. These special articles originally appeared in various issues of the Cotton and Wool Situation and the Fats and Oils Situation which are published five and four times a year respectively by the Fibers and Oils Program Area, Commodity Economics Division. The Fibers and Oils Program Area conducts a broad range of research activities covering each segment of the production-marketing system for cotton and oilcrops in addition to providing current situation and outlook intelligence for cotton, wool, mohair, and fats and oils.
- Published
- 1977
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.