We define and study two versions of the bipartite matching problem in the framework of two-stage stochastic optimization with recourse. In one version the uncertainty is in the second stage costs of the edges, in the other version the uncertainty is in the set of vertices that needs to be matched. We prove lower bounds, and analyze efficient strategies for both cases. These problems model real-...

This study aims to construct forward arrangements regarding Expert Advisors in commodity futures trading. The legal issue being studied is the vacuum of regulating trading robot software or commonly known as an Advisor novelty this research discovery through construction development juridical-normative by prioritizing statutory and conceptual approaches. results confirm that urgency setting up ...

The large volume of time-varying quantitative and qualitative data available online is needed in a realistic simulation in theoretical econometrics from an academic perspective. And the analysis of such data is strategically important for trading in the financial markets. A distributed environment has been created that offers two services – time-serial and news analysis – using Globus and Java ...

We present efficient techniques for computing near optimal strategies for a class of stochastic commodity trading problems modeled as Markov decision processes (MDPs). The process has a continuous state space and a large action space and cannot be solved efficiently by standard dynamic programming methods. We exploit structural properties of the process, and combine it with MonteCarlo estimatio...

We consider the dynamic risk management problem for a commodity processor in a multi-period setting. The firm procures an input commodity and processes it to produce an output commodity. The processed commodity is sold using forward contracts while the input itself can be traded at the end of the horizon. The firm can also trade financial derivative instruments to manage the commodity price ris...

• Commodity price effect is non-uniform and changes over time. Diverse sectoral commodity effects are robust to alternative specifications. affected by crisis third-country exchange rates. The empirical results challenge the assumption of stable effects. Using quarterly data on four commodity-exporting countries, we examine explanatory power real prices predict effective rates, paying particula...

Trading Consequences is an interdisciplinary research project between historians, computational linguists and visualization specialists. We use text mining and visualisations to explore the growth of the global commodity trade in the nineteenth century. Feedback from a group of environmental historians during a workshop provided essential information to adapt advanced text mining and visualisat...