In the empirical analysis of financial time series, multivariate GARCH models have been used in various forms.In most cases it is not well understood how the use of a restricted model has to be paid with loss of valuable information. We investigate the structural implications of two alternative...

The analysis of financial market co-movement is an important issue for both policy makers and portfolio managers, for example, in terms of policy coordination and portfolio diversification. This paper presents evidence based on a data set of 33 daily international stock market indices....

In this paper we propose a multivariate GARCH model with a time-varying conditional correlation structure. The new Double Smooth Transition Conditional Correlation GARCH model extends the Smooth Transition Conditional Correlation GARCH model of Silvennoinen and Teräsvirta (2005) by including...

Crude oil price volatility has been analyzed extensively for organized spot, forward and futures markets for well over a decade, and is crucial for forecasting volatility and Value-at-Risk (VaR). There are four major benchmarks in the international oil market, namely West Texas Intermediate...

After entering into farmland rental contracts in the fall, a tenant farmer has the planting flexibility to choose between corn and soybeans. Failure to account for this switching option will bias estimates of what farmers should pay to rent land. Applying contingent claims analysis methods, this...

Data on short investments in Swedish long-term bonds as the bonds mature contains unusually rich information about the relationship between duration and the first and second moments of bond returns. We identify three different channels through which duration affects bond returns. The liquidity...

This paper studies if the consumption-based asset pricing model can explain the cross-section of Sharpe ratios. The CRRA model and several extensions (habit persistence, recursive utility and idiosyncratic shocks) all imply that the Sharpe ratio is linearly increasing in the asset's correlation...

This paper examines volatility in REITs using a multivariate GARCH based model. The Multivariate VAR–GARCH technique documents the return and volatility linkages between REIT sub-sectors and also examines the influence of other US equity series. The motivation is for investors to incorporate...

The asset allocation decision is often considered as a trade-off between maximizing the expected return of a portfolio and minimizing the portfolio risk. The riskiness is evaluated in terms of variance of the portfolio return, so that it is fundamental to consider correctly the variance of its...

In this paper we examine the usefulness of multivariate semi-parametric GARCH models for portfolio selection under a Value-at-Risk (VaR) constraint. First, we specify and estimate several alternative multivariate GARCH models for daily returns on the S&P 500 and Nasdaq indexes. Examining the...