The last ten years has seen the introduction and rapid growth of a market in weather derivatives, financial instruments whose payoffs are determined by the outcome of an underlying weather metric. These instruments allow ...
In this paper, we explore the impact of investor time-horizon on an optimal downside hedged energy portfolio.
Previous studies have shown that minimum-variance hedging effectiveness improves for longer horizons using
variance ...
This paper examines the impact of investor preferences on the optimal futures hedging strategy
and associated hedging performance. Explicit risk aversion levels are often overlooked
in hedging analysis. Applying a ...
Geographic diversification is fundamental to risk mitigation among investors and insurers of housing, mortgages, and mortgage-related derivatives. To characterize diversification potential, we provide estimates of integration, ...
We examine whether the hedging effectiveness of crude oil futures is affected by asymmetry in the return distribution by applying tail specific metrics to compare the hedging effectiveness of both short and long hedgers. ...
A key issue in the estimation of energy hedges is the hedgers’ attitude towards risk which is encapsulated in the form of the hedgers’ utility function. However, the literature typically uses only one form of utility ...
The field of Natural Computing (NC) has advanced rapidly over the past decade. One significant offshoot of this progress has been the application of NC methods in finance. This chapter provides an introduction to a wide ...
Price impact models are important for devising trade execution strategies. However, a proper characterization of price impacts is still lacking. This study models the price impact using an agent-based modeling approach. ...