scholarly journals Ranking of US macroeconomic news impacting WTI crude oil volatility risk

2019 ◽  
Vol 8 (6) ◽  
pp. 49-57 ◽  
Author(s):  
Omid Faseli
Keyword(s):  
Crude Oil ◽  
Price Volatility ◽  
Ordinary Least Squares ◽  
High Price ◽  
Research Approach ◽  
Macroeconomic News ◽  
Volatility Risk ◽  
Ols Regression ◽  
Oil Price Volatility ◽  
The Impact

This study had the purpose to investigate the impact of 38 scheduled major United States (US) macroeconomic news on WTI crude oil intraday volatility for the period 2012-2018. It was the aim to provide a news ranking that indicates upcoming high volatility episodes at a specific point in time. The West Texas Intermediate (WTI) light crude oil represents a benchmark since it has a signal effect on market players. High crude oil price volatility is a measure of risk and known to increase inflation, to affect producers, consumers, and investors and to destabilize economic growth. In this research approach one-minute high-frequency bid close prices provided the basis for a 1h window rolling standard deviation. Data modeling was performed using simple and multiple robust ordinary least squares (OLS) regression performed with programming language Python. The model successfully identified 21 significant news announcements in both, the simple and multiple regression models, however, simple OLS-regression appears to be more sensitive. It also provided a ranking of US news impacting WTI volatility risk. The results support the prediction of approaching high price volatility and thus, display an opportunity for market participants and decision-makers to minimize risk.

scholarly journals The relationship between European Brent crude oil price development and US macroeconomy

2020 ◽  
Vol 9 (1) ◽  
pp. 80-87
Author(s):  
Omid Faseli
Keyword(s):  
Crude Oil ◽  
Price Volatility ◽  
The United States ◽  
Ordinary Least Squares ◽  
Oil Price ◽  
High Price ◽  
Least Squares Regression ◽  
Crude Oil Price ◽  
Macroeconomic News ◽  
Intraday Volatility

Abnormal volatility has a damaging effect on the macroeconomy and is seen as a measure of risk in asset and commodity markets. This investigation had the aim to analyze the supposed transatlantic volatility inducing effect of the most prominent scheduled macroeconomic news announcements from the United States (US) on Brent Blend crude oil price intraday volatility over a period of seven years from 2012 to 2018. The objective was to generate a ranking list of scheduled US macroeconomic news that forecast high intraday volatility episodes at precise points in time. A total of 38 US news was analyzed using a data mining workflow. Data modeling was conducted using a simple ordinary least squares regression model and performed with programming language Python. A one hour window of rolling standard deviation based on one minute high-frequency closing prices were applied. As a result, 20 scheduled US macroeconomic news was successfully identified to significantly impact Brent crude oil price volatility. The model strongly supports the forecast of high price fluctuations and provides an opportunity for market players to adjust their risk management strategies right in time.

The Impact of Crude Oil Price Volatility on Agricultural Employment in the United States

1996 ◽  
Vol 7 (1) ◽  
pp. 57-74 ◽  
Author(s):  
Noel D. Uri
Keyword(s):  
United States ◽  
Crude Oil ◽  
Price Volatility ◽  
The United States ◽  
Oil Price ◽  
Crude Oil Price ◽  
Oil Price Volatility ◽  
Agricultural Employment ◽  
Cointegration Tests ◽  
The Impact

This study addresses the question of whether fluctuations in the price of crude oil have affected agricultural employment in the United States. After reviewing previous assessments of the issue, the existence of an empirical relationship between agricultural employment and crude oil price volatility is established using cointegration tests. Subsequently, the nature of the relationship is estimated with the results suggesting that at least three full years are required before the measurable impacts of a percentage change in the real price of crude oil on the change in agricultural employment are exhausted. Finally, the structural stability of the functional relationship between the change in agricultural employment and the volatility of the price of crude oil, the percentage changes in expected net farm income, realized technological innovation, and the wage rate is examined.

scholarly journals Forecasting crude oil futures prices using global macroeconomic news sentiment

2019 ◽  
Vol 31 (2) ◽  
pp. 191-215 ◽  
Author(s):  
Zryan A Sadik ◽  
Paresh M Date ◽  
Gautam Mitra
Keyword(s):  
Crude Oil ◽  
Price Volatility ◽  
Futures Contracts ◽  
Model Structure ◽  
Futures Prices ◽  
Macroeconomic News ◽  
Oil Futures ◽  
Crude Oil Futures ◽  
News Sentiment ◽  
The Impact

Abstract We propose a method of incorporating macroeconomic news into a predictive model for forecasting prices of crude oil futures contracts. Since these futures contracts are more liquid than the underlying commodity itself, accurate forecasting of their prices is of great value to multiple categories of market participants. We utilize the Kalman filtering framework for forecasting arbitrage-free (futures) prices and assume that the volatility of oil (futures) price is influenced by macroeconomic news. The impact of quantified news sentiment on the price volatility is modelled through a parametrized, non-linear functional map. This approach is motivated by the successful use of a similar model structure in our earlier work, for predicting individual stock volatility using stock-specific news. We claim the proposed model structure for incorporating macroeconomic news together with historical (market) data is novel and improves the accuracy of price prediction quite significantly. We report results of extensive numerical experiments which justify our claim.

Crude Oil Price and Food Security Related Variables in Malaysia

2016 ◽  
Vol 4 (2) ◽  
pp. 17-21
Author(s):  
Shri Dewi Applanaidu ◽  
Mukhriz Izraf Azman Aziz
Keyword(s):  
Food Security ◽  
Crude Oil ◽  
Price Index ◽  
Price Volatility ◽  
Food Price ◽  
Oil Price ◽  
Crude Oil Price ◽  
Price Changes ◽  
Oil Price Volatility ◽  
Crude Oil Prices

Objective - This study analyzes the dynamic relationship between crude oil price and food security related variables (crude palm oil price, exchange rate, food import, food price index, food production index, income per capita and government development expenditure) in Malaysia using a Vector Auto Regressive (VAR) model. Methodology/Technique - The data covered the period of 1980-2014. Impulse response functions (IRFs) was applied to examine what will be the results of crude oil price changes to the variables in the model. To explore the impact of variation in crude oil prices on the selected food security related variables forecast error variance decomposition (VDC) was employed. Findings - Findings from IRFs suggest there are positive effects of oil price changes on food import and food price index. The VDC analyses suggest that crude oil price changes have relatively largest impact on real crude palm oil price, food import and food price index. This study would suggest to revisiting the formulation of food price policy by including appropriate weight of crude oil price volatility. In terms of crude oil palm price determination, the volatility of crude oil prices should be taken into account. Overdependence on food imports also needs to be reduced. Novelty - As the largest response of crude oil price volatility on related food security variables food vouchers can be implemented. Food vouchers have advantages compared to direct cash transfers since it can be targeted and can be restricted to certain types of products and group of people. Hence, it can act as a better aid compared cash transfers. Type of Paper - Empirical Keywords: Crude oil price, Food security related variables, IRF, VAR, VDC

Volatility integration of gold and crude oil prices with the interest rates in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shailesh Rastogi ◽  
Adesh Doifode ◽  
Jagjeevan Kanoujiya ◽  
Satyendra Pratap Singh
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Interest Rates ◽  
Global Economy ◽  
Spillover Effect ◽  
Price Volatility ◽  
Volatility Spillover ◽  
Content Type ◽  
Crude Oil Prices ◽  
The Impact

PurposeCrude oil, gold and interest rates are some of the key indicators of the health of domestic as well as global economy. The purpose of the study is to find the shock volatility and price volatility effects of gold and crude oil market on interest rates in India.Design/methodology/approachThis study finds the mutual and directional association of the volatility of gold, crude oil and interest rates in India. The bi-variate GARCH models (Diagonal VEC GARCH and BEKK GARCH) are applied on the sample data of gold price, crude oil price and yield (interest rate) gathered from November 30, 2015 to November 16, 2020 (weekly basis) to investigate the volatility association including the volatility spillover effect in the three markets.FindingsThe main findings of the study focus on having a long-term conditional correlation between gold and interest rates, but there is no evidence of volatility spillover from gold and crude oil on the interest rates. The findings of the study are of great importance especially to the policymakers, as they state that the fluctuations in prices of gold and crude oil do not adversely impact the interest rates in India. Therefore, the fluctuations in prices of gold and crude may generally impact the economy, but it has nothing to do with interest rate in particular. This implies that domestic and foreign investments in the country will not be affected by gold and crude oil that are largely driven by interest rates in the country.Practical implicationsGold and crude oil are two very important commodities that have their importance not only for domestic affairs but also for international business. They veritably influence the economy including forex exchange for any nation. In addition to this, the researchers believe the findings will provide insights to policymakers, stakeholders and investors.Originality/valueGold and crude oil undoubtedly influence the exchange rates but their impact on the interest rates in an economy is not definite and remains ambiguous owing to the mixed findings of the studies. The lack of studies related to the impact of gold and crude oil on the interest rates, despite them being essentials for the health of any economy is the main motivation of this study. This study is novel as it investigates the volatility impact of crude oil and gold on interest rates and contributes to the existing literature with its findings.

scholarly journals The Impact of Road Light on Growth and Result of Soybean Plant

2020 ◽  
Vol 5 (2) ◽  
pp. 107-114
Author(s):  
Jajuk Herawati ◽  
I. Indarwati ◽  
Tatuk Tojibatus S. ◽  
Mochamad Thohiron ◽  
Heru Prasetyo
Keyword(s):  
Environmental Changes ◽  
Block Design ◽  
Price Volatility ◽  
Dry Weight ◽  
Growth And Yield ◽  
High Price ◽  
Soybean Plant ◽  
Street Lighting ◽  
Soybean Plants ◽  
The Impact

Until now, soybean is still one of the priority food commodities in Indonesia. in the agricultural revitalization program launched by the government in 2005, due to the high price volatility that did not rule out the possibility of shaking the Indonesian economy. Soybean plants can provide positive and negative responses to environmental changes growing above and in the soil.  This response can be known from phenotypic and physiological changes in plants. The environment on land which influences the growth of soybean plants mainly is the duration and intensity of irradiation, air temperature, CO2 content in the atmosphere. The study aims to determine the impact of street lighting on the growth and yield of soybean plants.  The study used a Randomized Block Design Method with 3 treatments,  and each treatment was repeated 9 times, so that it takes 27 treatment plots. J0= Distance of street lighting to soybean land (meters), J1: 50 meters, J2: 60 meters, and J3: 70 meters.  Observations were made one week after planting at 7-day intervals for growth parameters (plant height and number of leaves), while for the production parameters (Number of Content Pods/Plants, Dry Weight (DW) 100 Seeds, DW Seeds/Plots, and DW Seeds/Ha) are carried out after harvest. From the results of the study it can be concluded that there are real differences in the parameters of growth and production (number of filled pods, DW 100 seeds, DW seeds/plot, and DW seeds/ha), where the J3 treatment is capable of producing 2.89 tons/ha (an increase in dry weight of seeds/ha by 28.4%), compared to J1 2.24 tonnes/ha , although not significantly different from Treatment  J2

scholarly journals EXPLORING THE INFLATIONARY EFFECT OF OIL PRICE VOLATILITY IN AFRICA’S OIL EXPORTING COUNTRIES

2020 ◽  
pp. 113
Author(s):  
Sina Jimoh Ogede ◽  
Emmanuel Oladapo George ◽  
Ibrahim Ayoade Adekunle
Keyword(s):  
Price Volatility ◽  
Estimation Procedure ◽  
Oil Price ◽  
Price Inflation ◽  
Substantial Impact ◽  
Oil Price Volatility ◽  
Relationship Outcomes ◽  
Precautionary Measures ◽  
Level Of Significance ◽  
The Impact

A range of explanations had been offered for the apparent change in oil price-inflation relationship outcomes ranging from the possible use of alternate energy sources, change in the structure of output regarding fewer oil intensive sectors and the role of fiscal and monetary in the affected oil-exporting countries. These changes had drawn the attention of stakeholders, government and the society at large to the anecdotal relationship among oil price volatility, inflation, and output in Africa oil-exporting countries. This study leans empirical credence to the impact of oil price volatility on inflation and economic performance in the Africa oil-exporting countries from 1995 through 2017. We employed the Pool Mean Group estimation procedure with the inference drawn at a 5% level of significance. We found that oil price volatility had a negative and significant effect on inflation in Africa oil-exporting countries. The study concluded that oil price volatility had a substantial impact on inflation in the Africa oil-exporting countries. The study, therefore, recommended that Africa oil-exporting countries should adopt precautionary measures to monitor inflation potentials due to different responses of inflation to positive and negative oil price shocks.

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