In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...

We develop and empirically test a continuous time equilibrium model for the pricing of oil futures. The model provides a link between no-arbitrage models and expectation oriented models. It highlights the role of sufficient inventories for oil futures pricing and for the explanation of...

This paper investigates the variance minimizing currency forward hedge of an exporting firm that is exposed to different sources of risk. In an empirical study, we quantify the corresponding hedge ratios of a "typical" German firm for different hedge horizons. Based on cointegrated vector...

This paper studies the impact of counter-party default risk of forward contracts on a firm's production and hedging decisions. Using a model of a risk-averse competitive firm under price uncertainty, it derives several fundamental results. If expected profits from forward contracts are zero, the...

Many firms face product price risk in foreign currency, uncertain costs in home currency and exchange rate risk. If prices and exchange rates in different countries interact, natural hedges of foreign exchange risk might result. If the effectiveness of such hedges depends on the hedge horizon,...

This article presents a reduced‐form, two‐factor model to price commodity derivatives, which generalizes the model by Schwartz and Smith (2000). The model allows for two mean‐reverting stochastic factors and therefore implies that spot and futures prices can be stationary. An empirical...

This note studies a firm's optimal hedging strategy with tailor‐made exotic derivatives under both price risk and quantity risk. It extends the analysis of Brown G. W. and Toft K.‐B. (2002) by relaxing the assumption of a bivariate normal distribution. The optimal payoff function of a...

Option-implied betas are a promising alternative to historical beta estimators, because they are inherently forward-looking and can incorporate new information immediately and fully. Recently, different implied beta estimators have been developed in previous literature, but very little is known...

We develop a new family of estimators of the covariance matrix that relies solely on forwardlooking information. It uses only current prices of plain-vanilla options. In an out-of-sample study we show that a minimum-variance strategy based on these fully-implied estimators outperforms several...