With view on global warming and the ongoing climate change, weather derivatives play an increasingly important role for many companies and financial investors, as they constitute useful hedging instruments against disadvantageous weather conditions. In this paper, we present a new temperature...

We establish existence of Predictable Forward Performance Processes (PFPPs) in complete markets, which has been previously shown only in the binomial setting. Our market model can be a discrete-time or a continuous-time model, and the investment horizon can be finite or infinite. We show that...

Using daily returns on 34 futures contracts over the 2010-2022 period, we examine the factors driving these returns. We show that all commodities can be grouped by their drivers into intuitive groups based on their factorization into 1) food, 2) metals and oil and 3) precious metals. The three...

Corporate managers are the central figures of corporate activity who can control the strategic direction of companies. The company's use of financial derivatives can avoid risks and has an important impact on the value of the company. This study examines A-share listed firms in Shanghai over the...

The purpose of this paper is to examine weather risk management by application of weather derivatives in agriculture and evaluate the hedging efficiency. Agriculture is a sector highly sensitive to meteorological elements that affect the yield of many crops. The underlying weather indices...

The estimate of the probability of default plays a central role for any financial entity that wants to have an overview of the risks of insolvency it may incur by having economic relations with counterparties. This study aims to analyze the calculation of such measure in the context of...

Most previous studies reject the basic tenet of the Masters Hypothesis that the influx of financial index investments has pressured agricultural futures prices upwards substantially. However, the impact of index investment activities may be more complicated and nuanced than can be detected by...

Relying on the hidden Markov model improved by the particle swarm optimization algorithm (PSO-HMM), we develop a dual-decision method to address the issue of state-dependent futures hedging. Our approach is attractive in two ways. First, it uses the PSO algorithm to overcome the shortcomings of...