The aim of this annual workshop is to offer a forum for young researchers from the field of International Economics to present and to discuss their current topics of research with other experts. The workshop also provides the opportunity to gain an overview of recent developments, problems and methodological approaches in this field. The aim of this paper is to investigate the market efficiency...

An electronic market platform usually requires buyers and sellers to exchange offers-to-buy and offers-to-sell. The goal of this exchange is to reach an agreement on the suitability of closing transactions between buyers and sellers. This paper investigates multi-attribute auctions, and in particular the matchmaking of multiple buyers and sellers based on five attributes. The proposed approache...

considering the current upward drift in farm use all over the world, the russian agro-food market has immense possibilities to create such economic conditions under which the farming sector could develop dynamically. the increase in the grain production is of crucial importance for all agricultural branches. in this respect, the grain sector is russia’s strategically significant economic segmen...

We consider the design of strategies for market making in an exchange. A market maker generally seeks to profit from the difference between the buy and sell price of an asset, yet the market maker also takes exposure risk in the event of large price movements. Profit guarantees for market making strategies have typically required certain stochastic assumptions on the price fluctuations of the a...

We present an algorithm for hedging option portfolios and custom-tailored derivative securities which uses options to manage volatility risk. The algorithm uses a volatility band to model heteroskedasticity and a non-linear partial diierential equation to evaluate worst-case volatility scenarios for any given forward liability structure. This equation gives sub-additive portfolio prices and hen...

In this paper, we model the community question answering (CQA) websites on Stack Exchange platform as knowledge markets, and analyze how and why these markets can fail at scale. Analyzing CQA websites as markets allows site operators to reason about the failures in knowledge markets, and design policies to prevent these failures. Our main contribution is to provide insight on knowledge market f...

In this paper, we study the impact of the many core Graphics Processing Units (GPUs) system on the implementation of parallel algorithm for back-propagation neural network training. We provide a comparison between the running times taken on the GPU and on the conventional CPU to perform the training of a back-propagation neural network. We design and implement a back-propagation neural network ...

The Stock market forecasters focus on developing a successful approach to predict stock prices. The vital idea to successful stock market prediction is not only achieving best results but also to minimize the inaccurate forecast of stock prices. This paper attempts to design and implement a predictive system for guiding stock market investment. The novelty of our approach is the combination of ...