scholarly journals Infectious Diseases, Market Uncertainty and Oil Market Volatility

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4090 ◽  
Author(s):  
Elie Bouri ◽  
Riza Demirer ◽  
Rangan Gupta ◽  
Christian Pierdzioch
Keyword(s):  
Infectious Diseases ◽  
Statistical Significance ◽  
Forecast Accuracy ◽  
Realized Volatility ◽  
Market Volatility ◽  
Market Uncertainty ◽  
Daily Newspaper ◽  
Oil Market ◽  
Crude Oil Prices ◽  
Long Run

We examine the predictive power of a daily newspaper-based index of uncertainty associated with infectious diseases (EMVID) for oil-market volatility. Using the heterogeneous autoregressive realized volatility (HAR-RV) model, we document a positive effect of the EMVID index on the realized volatility of crude oil prices at the highest level of statistical significance, within-sample. Importantly, we show that incorporating EMVID into a forecasting setting significantly improves the forecast accuracy of oil realized volatility at short-, medium-, and long-run horizons. Our findings comprise important implications for investors and risk managers during the unprecedented episode of high uncertainty resulting from the COVID-19 pandemic.

UNCERTAINTY RELATED TO INFECTIOUS DISEASES AND FORECASTABILITY OF THE REALIZED VOLATILITY OF US TREASURY SECURITIES

2021 ◽  
pp. 2150008
Author(s):  
SISA SHIBA ◽  
RANGAN GUPTA
Keyword(s):  
Infectious Diseases ◽  
Realized Volatility ◽  
Daily Newspaper ◽  
Treasury Securities ◽  
Long Run ◽  
Short Period ◽  
The Us ◽  
Out Of Sample ◽  
Portfolio Managers

This paper aims to examine the predictive power of the daily newspaper-based index uncertainty related to infectious diseases (EMVID) for the US Treasury securities’ realized volatility (RV) using the heterogonous autoregressive volatility (HAV-RV) model. In our out-of-sample forecast, we find strong significant evidence on the role of the EMVID index in forecasting the volatility of the US Treasury securities in the short-, medium- and long-run horizons except for the US 2-Year Treasury-Note (T-Note) Futures. Assessing the EMVID index role during the COVID-19 episode, we find that even in this short period, the index role in predicting the US Treasury securities is highly significant. These findings have important implications for portfolio managers and investors in times of unprecedented levels of uncertainty resulting from epidemic and pandemic diseases.

scholarly journals Modeling Nonlinear Granger Causality and Co-Integration Between Gold Price Returns and Crude Oil Price Returns

2018 ◽  
Vol 14 (2) ◽  
pp. 105-116
Author(s):  
Nawaz Ahmad ◽  
Keyword(s):  
Crude Oil ◽  
Granger Causality ◽  
Oil Prices ◽  
Oil Market ◽  
Crude Oil Prices ◽  
Long Run ◽  
Gold Market ◽  
Oil Markets ◽  
Causality Tests ◽  
Multiplicative Effects

To model the nonlinear analysis of commodities, Gold market and crude oil market have importance to test their lead and lag price mechanism between the two. For this purpose, the log transformation has been done to calculate easier multiplicative effects. However, to record the dynamic effects of long run cointegreation model applied and tested to find the significance of the problem statement issues. Furthermore, granger causality approach also uses to examine the fundamental linkages between Gold Prices and Crude Oil prices. Meanwhile, the study of Gold markets and oil markets gained popularity among development economists during in last some decades. And try to find out stochastic relationship between the two nonlinear markets. The academic practitioners paved their efforts to run casual time series models in order to find out the robust results which help the economists and financial experts to drive the industry indicator in positive way. This study confirmed that there is cointegration between the two important indicators of large market commodities i.e Gold and crude oil and also casual interactions. Pairwise Granger Causality Tests concluded that Gold Prices return has Granger Cause on Oil Prices return in the long run and if the βeta change in the prices of gold may affect on the prices of crude oil in the long run.

scholarly journals DYNAMICS OF CONSUMER EXPENDITURE AND STOCK MARKET PRICES AND UNCERTAINTY: MALAYSIAN EVIDENCE

2013 ◽  
Vol 58 (04) ◽  
pp. 1350025
Author(s):  
MANSOR H. IBRAHIM ◽  
SIONG HOOK LAW
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Private Consumption ◽  
Emerging Market ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Consumer Expenditure ◽  
Market Uncertainty ◽  
Long Run

The present paper analyzes the role of stock market, more specifically real stock prices and stock market uncertainty/volatility, on private consumption behavior for an emerging market, Malaysia, using quarterly data from 1991 to 2009. Employing the autoregressive distributed lag approach to cointegration test, the paper establishes a long-run equilibrium that ties private consumption to its determinants — real income, real stock prices, real lending rate, and stock market volatility. In the long run, the presence of the stock market wealth effect is documented. At the same time, the stock market volatility is also noted to depress private consumption particularly when the volatility is at the degree as observed during the Asian crisis. The authors further note the short-run influences of real stock price changes on consumption growth and the adjustment of private consumption to the long-run level when it is modeled in an error-correction setting. Our simple simulation indicates that the drop in the private consumption due to the decline in stock market wealth post-crisis is substantial, amounting to 2.7% of average post-crisis gross domestic product.

scholarly journals Shock Dependence and Volatility Transmission Between Crude Oil and Stock Markets: Evidence from Pakistan

2016 ◽  
Vol 5 (1) ◽  
pp. 1-14
Author(s):  
Sagheer Muhammad ◽  
Adnan Akhtar ◽  
Nasir Sultan
Keyword(s):  
Crude Oil ◽  
Stock Exchange ◽  
Stock Index ◽  
Equity Prices ◽  
Volatility Transmission ◽  
Oil Market ◽  
Crude Oil Prices ◽  
Period 2 ◽  
Long Run ◽  
Portfolio Managers

This paper investigates shock dependence and volatility transmission between the crude oil and equity markets, based on crude oil returns and stock index returns for the period 2 January 2009 to 27 January 2014. We employ the bivariate BEKK-GARCH (1, 1) model developed by Engle and Kroner (1995) as well as the Engle and Granger (1987) cointegration and unit root tests. These parameterization tools are more flexible and innovative than other specifications, which often give counter-intuitive results. The results of the cointegration test reject the notion of a long-run relationship between the crude oil market and stock market. The results of the BEKK-GARCH model suggest that shocks and volatility created in the oil market have a significant effect on the Pakistan Stock Exchange. They also reveal bidirectional shock persistence and a unidirectional volatility spillover between crude oil prices and Pakistani equity prices. These empirical findings can help predict price movements in each market efficiently. The empirical results are also important for policymakers involved in shock prevention and for portfolio managers seeking optimal portfolio allocation.

Dynamic Relationship between Crude Oil and Stock Prices in India: Before And After the Subprime Financial Crisis 2008

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu
Keyword(s):  
Financial Crisis ◽  
Crude Oil ◽  
Stock Prices ◽  
Oil Prices ◽  
Energy Index ◽  
Data Set ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Long Run ◽  
Before And After

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.

An Introduction to Oil Market Volatility Analysis

2012 ◽  
Author(s):  
Walid Omar Matar ◽  
Saud Al-Fattah ◽  
Tarek N. Atallah ◽  
Axel Pierru
Keyword(s):  
Market Volatility ◽  
Oil Market ◽  
Volatility Analysis

Multivariate Markov-switching score-driven models: an application to the global crude oil market

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Szabolcs Blazsek ◽  
Alvaro Escribano ◽  
Adrian Licht
Keyword(s):  
Crude Oil ◽  
Moving Average ◽  
Local Level ◽  
Markov Switching ◽  
Impulse Response Functions ◽  
Common Trends ◽  
Vector Autoregressive ◽  
Oil Market ◽  
Long Run ◽  
Special Cases

Abstract A new class of multivariate nonlinear quasi-vector autoregressive (QVAR) models is introduced. It is a Markov switching score-driven model with stochastic seasonality for the multivariate t-distribution (MS-Seasonal-t-QVAR). As an extension, we allow for the possibility of having common-trends and nonlinear co-integration. Score-driven nonlinear updates of local level and seasonality are used, which are robust to outliers within each regime. We show that VAR integrated moving average (VARIMA) type filters are special cases of QVAR filters. Using exclusion, sign, and elasticity identification restrictions in MS-Seasonal-t-QVAR with common-trends, we provide short-run and long-run impulse response functions for the global crude oil market.

scholarly journals Testing for Changes in the Price Elasticity of Residential Electricity Demand

1986 ◽  
Vol 15 (2) ◽  
pp. 123-129 ◽  
Author(s):  
Thomas H. Stevens ◽  
Gail Adams
Keyword(s):  
Public Policy ◽  
Price Elasticity ◽  
Forecast Accuracy ◽  
Electricity Demand ◽  
Recent Period ◽  
Residential Sector ◽  
Real Price ◽  
Long Run ◽  
Residential Electricity

The demand for electricity in the residential sector is estimated to have become less elastic for the recent period of rising real prices as compared to earlier periods of stable or falling real price. Several possible reasons for this are investigated and we conclude that demand appears to be asymmetric with respect to price in both the short and long run. We then examine whether or not this is an important factor for forecast accuracy and public policy.

scholarly journals Dynamic Analysis of Structural Shifts of Fiscal Revenue in Nigeria, 1999-2016

2016 ◽  
Vol 8 (11) ◽  
pp. 96
Author(s):  
Mustapha A. Akinkunmi
Keyword(s):  
Data Availability ◽  
Government Revenue ◽  
Excise Duty ◽  
Tax Revenues ◽  
Real Gdp ◽  
Crude Oil Prices ◽  
Long Run ◽  
Short Run ◽  
Oil Sector ◽  
The Government

The oil sector that eased the financial constraint of Nigerian government in the 1970s is presently acting as the source of financial constraints to the country due to a continuous decline in government revenue, arising from the recent drastic fall in world crude oil prices. This calls for the government to diversify its revenue base through improving taxation. This study examined the influence of economic performance on the government revenue as well as the various sources of tax revenues in Nigeria. Monthly data spanning 1999 to 2016 were utilized to estimate vector error correction models (VECM) for five sources of government tax revenues based on data availability. Empirical results revealed that there is a significant relationship between real GDP and real company income tax revenues, and between real GDP and real excise duty revenues in the long run. However, in the short run, the one-year lag of tax revenue varieties poses a significant influence on the various sources of tax revenues.

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