This paper examines the price volatility in the silver spot (cash) market. A host of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models are used to analyze and gain a better understanding of the volatility of silver prices. We find the TGARCH (1,1) model indicates that both positive and negative shocks do not have a significant effect on volatility in the silver spot marke...

The paper examines the extent to which the conditional volatility of stock market returns in a small, internationally integrated stock market are related to the conditional volatility of financial and business cycle variables. It employs a low frequency monthly dataset for Australia including stock market returns, interest rates, inflation, the money supply, industrial production and the curren...

The use of GARCH models to characterize crude oil price volatility is widely observed in the empirical literature. In this paper the efficiency of six univariate GARCH models and two methods of estimation the parameters for forecasting oil price volatility are examined and the best method for forecasting crude oil price volatility of Brent market is determined. All the examined models in this p...

Volatility is an integral and inescapable variable of financial engineering, modeling, and finance theory itself Classical financial economics proxies volatility for risk itself, as it becomes difficult to predict future price realizations of a given asset when that asset exhibits significant price volatility over a given time. However, the nature of volatility as it is explained by classical f...

Price volatility analysis has been reported in the literature for most competitive electricity markets around the world. However, no studies have been published yet that quantify price volatility in the Ontario electricity market, which is the focus of the present paper. In this paper, a comparative volatility analysis is conducted for the Ontario market and its neighboring electricity markets....

Chaoqun Ma a Hongquan Li b,*1 Lin Zou (a College of Business Administration, Hunan University, Changsha, P.R.China, 410082) (b School of Business, Hunan Normal University, Changsha, P.R.China, 410081) Abstract: The notion of long memory, or long-term dependence, has received considerable attention in empirical finance. This paper makes two main contributions. First, the paper aims to provide ev...

Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments implied-volatility information, derived from contemporaneously observed option prices or history-based volatility predictors, such as GARCH models, are investigated, to determine if they are more appropriate for predicting future return volatility. Employing German DAX-index retu...

Generally, high oil prices slow economic growth, cause inflationary pressures and creates global imbalances. In addition, oil price volatility increase uncertainty and restrain the much-needed investment in the capital market. Thus, this paper applies the Augmented Dickey Fuller and Johansen Co-integration Tests in which the effect of oil price volatility, crude oil price and stock price is ana...

An asset’s sensitivity to stock market volatility carries a signi…cant risk premium across both equity and …xed income markets. Large-cap and growth stocks have less exposure to volatility risk. Their relatively greater ability to weather volatility surprises, such as those often associated with …nancial crises, accounts for their lower expected returns when compared to small-cap and value stoc...

This paper presents an econometric analysis of the effects of price support programs and stocks on price dynamics and price volatility. Considering a price support program as a censoring mechanism, market prices are specified as a dynamic Tobit model with time varying volatility. The model is applied to the U.S. nonfat dry milk market to examine the impact of market liberalization on price dyna...