Presently, main applications can be found in the automotive market segment (e.g. front and side airbag sensors, ESP respectively chassis stabilization, active suspension, roll over detection). However, low-g sensors enter also new application areas like inclinometry and vibration sensing for instance for anti-theft devices or activity monitoring for pacemaker control. Like in the microelectroni...

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...

abstract in iran, border regions are considered as strategic and critical locations. potential, natural, and economic constraints as well as being away from the capital, and consequently from power and decision-making centers are some of the main features of these regions. in this regard, the establishment of border markets is one of the most recognized methods for the economic development of b...

Several essential aspects of pricing in the conditions of unsaturated market and monopoly impact are considererd. The analysis shows the existence of conditions under which the initial supplydemand disbalance may even be intensified by market pricing. Some inflation scenarios based on these conditions and necessary stabilization counter-measures are discussed. The importance of fast decentraliz...

We develop a behavioral exchange rate model with chartists and fundamentalists to study cyclical behavior in foreign exchange markets. Within our model, the market impact of fundamentalists depends on the strength of their belief in fundamental analysis. Estimation of a STAR GARCH model shows that the more the exchange rate deviates from its fundamental value, the more fundamentalists leave the...

In this study we used a new agent-based approach, an arti cial market approach, to support decision-making of exchange rate policies. We rst interviewed a dealer and found that the features of dealer interaction in learning were similar to features of genetic operations in biology. Next we constructed an arti cial market model using a Genetic Algorithm by regarding the market as a multi-agent s...

We developed a model in which investment banks and institutional investors collaborate in smoothing an IPO’s transition to secondary market trading. Their intervention promotes welfare under the assumption that significant new information arrives in the market in the immediate aftermath of the IPO. Under this assumption, it is optimal to stage the offering and suboptimal to commit to selling sh...

In this study we used a new agent-based approach, an artificial market approach, to support decision-making of exchange rate policies. We first interviewed a dealer and found that the features of dealer interaction in learning were similar to features of genetic operations in biology. Next we constructed an artificial market model using a Genetic Algorithm by regarding the market as a multi-age...