For forecasting volatility of futures returns, the paper proposes an indirect method based on the relationship between futures and the underlying asset for the returns and time-varying volatility. For volatility forecasting, the paper considers the stochastic volatility model with asymmetry and...

Uncertainty about the future path of inflation affects consumption, saving and investment decisions as well as wage negotiations and price setting of firms. These decisions are based on inflation expectations which are a key determinant of inflation in the New Keynesian Phillips Curve. In this...

This paper reinvestigates the influence of oil price uncertainty on real economic activity in the U.S. using a four-variable VAR, GARCH-in-mean, asymmetric BEKK model. In contrast to previous studies in this area, the analysis focuses on business cycle fluctuations and we control for global...

The paper develops a novel realized stochastic volatility model of asset returns and realized volatility that incorporates general asymmetry and long memory (hereafter the RSV-GALM model). The contribution of the paper ties in with Robert Basmann's seminal work in terms of the estimation of...

Press releases announcing and explaining monetary policy decisions play a critical role in the communication strategy of central banks. Due to their market-moving potential, it is particularly important how they are drafted. Often, central banks start from the previous statement, and update the...

Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from many limitations. HF data feature microstructure problem,...

In this paper, we study the asymptotic behavior of the sequential empirical process and the sequential empirical copula process, both constructed from residuals of multivariate stochastic volatility models. Applications for the detection of structural changes and specification tests of the...

This paper investigates the dynamic linkages in terms of the first and second moments between stock and bond returns, within a wide range of advanced economies, over the different phases of the recent financial crisis. The adopted empirical framework is a bivariate volatility model, where...

This article generalises the results of Sadi and Zakoian (2006) to a considerably larger class of nonlinear ARCH models with discontinuities, leverage e ects and robust news impact curves. We propose a new method of proof for the existence of a strictly stationary and phi-mixing solution....

In the class of univariate conditional volatility models, the three most popular are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the...

We first consider an extension of the generalized autoregressive conditional heteroskedasticity (GARCH) model that allows for a more flexible weighting of financial squared-returns for the filtering of volatility. The parameter for the squared-return in the GARCH model is time- varying with an...

It is well known that that there is an intrinsic link between the financial and energy sectors, which can be analyzed through their spillover effects, which are measures of how the shocks to returns in different assets affect each other's subsequent volatility in both spot and futures markets....

The primary purpose of the paper is to analyze the conditional correlations, conditional covariances, and co-volatility spillovers between international crude oil and associated financial markets. The paper investigates co-volatility spillovers (namely, the delayed effect of a returns shock in...

The study aimed at determining a set of superior generalized orthogonal-GARCH (GO-GARCH) models for forecasting time-varying conditional correlations and variances of five foreign exchange rates vis-à-vis the Nigerian Naira. Daily data covering the period 02/01/2009 to 19/03/2015 was used, and...

The problems related to the application of multivariate GARCH models to a market with a large number of stocks are solved by restricting the form of the conditional covariance matrix. It contains one component describing the market and a second simple component to account for the remaining...

In recent years, fractionally-differenced processes have received a great deal of attention due to their flexibility in financial applications with long-memory. This paper revisits the class of generalized fractionally-differenced processes generated by Gegenbauer polynomials and the ARMA...

Background: This study examined the volatility spillover effects between the stock markets of Asian countries, i.e., Pakistan, India, Sri Lanka, China, Japan, and Hong Kong. Methods: The daily data was considered from the period 4 January 1999 to 1 January 2014, consisting five trading days from...

Sequential Monte Carlo (SMC) methods are widely used for non-linear filtering purposes. However, the SMC scope encompasses wider applications such as estimating static model parameters so much that it is becoming a serious alternative to Markov-Chain Monte-Carlo (MCMC) methods. Not only do SMC...

This paper applies two measures to assess spillovers across markets: the Diebold Yilmaz (2012) Spillover Index and the Hafner and Herwartz (2006) analysis of multivariate GARCH models using volatility impulse response analysis. We use two sets of data, daily realized volatility estimates taken...

Recent changes to the common agricultural policy (CAP) saw a shift to greater market orientation for the EU dairy industry. Given this reorientation, the volatility of EU dairy commodity prices has sharply increased, creating the need to develop proper risk management tools to protect farmers’...

In accordance with Basel Capital Accords, the Capital Requirements (CR) for market risk exposure of banks is a nonlinear function of Value-at-Risk (VaR). Importantly, the CR is calculated based on a bank’s actual portfolio, i.e. the portfolio represented by its current holdings. To tackle...

This paper examines the effects of newspaper headlines on the exchange rates vis-à-vis both the US dollar and the euro for the currencies of the BRICS (Brazil, Russia, India, China and South Africa). The data are daily and cover the period 03/1/2000- 12/5/2013. The estimated VAR-GARCH(1,1)...

This paper examines the effects of newspaper headlines on the exchange rates visa-a-vis both the US dollar and the euro for the currencies of the BRICS (Brazil, Russia, India, China and South Africa). The data are daily and cover the period 03/1/2000-12/5/2013. The estimated VAR-GARCH(1,1) model...

This paper uses a VAR-GARCH(1,1) model to analyse mean and volatility spillovers between macro news (in the form of newspaper headlines) and the exchange rates vis-avis both the US dollar and the euro of the currencies of a group of emerging countries including the Czech Republic, Hungary,...