In this paper we develop an optimization model to derive static hedge positions for hydropower producers with different risk characteristics. Previous research has primarily considered dynamic hedging; however, static hedging is the common choice among hydropower producers because of its...

<Para ID="Par1">We consider the problem of giving a robust, model-independent, lower bound on the price of a forward starting straddle with payoff <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$|F_{T_{1}} - F_{T_{0}}|$</EquationSource> </InlineEquation>, where 0T <Subscript>0</Subscript>T <Subscript>1</Subscript>. Rather than assuming a model for the underlying forward price (F <Subscript> t </Subscript>)<Subscript> t≥0</Subscript>, we assume that call prices for maturities T...</subscript></subscript></subscript></subscript></subscript></equationsource></inlineequation></para>

We analyze the interaction between monetary policy in the US and the global economy, using a global vector autoregressive model with time-varying parameters and stochastic volatility (TVP-SV-GVAR). We find that a contractionary US monetary policy shock leads to a persistent fall in international...

In recent years fractionally differenced processes have received a great deal of attention due to its flexibility in financial applications with long memory. This paper considers a class of models generated by Gegenbauer polynomials, incorporating the long memory in stochastic volatility (SV)...

This paper provides insights into the time-varying dynamics of the German business cycle over the last five decades. To do so, I employ an open-economy time-varying parameter VAR with stochastic volatility, which I estimate by quasi-Bayesian techniques. The reduced-form analysis reveals...

Recent work has analyzed the forecasting performance of standard dynamic stochastic general equilibrium (DSGE) models, but little attention has been given to DSGE models that incorporate nonlinearities in exogenous driving processes. Against that background, we explore whether incorporating...

This paper considers a flexible class of time series models generated by Gegenbauer polynomials incorporating the long memory in stochastic volatility (SV) components in order to develop the General Long Memory SV (GLMSV) model. We examine the corresponding statistical properties of this model,...